Software-Development — TechCom

DLP methodologies for protecting corporate content in remote work

Mon, 13 Jul 2026 06:12:08 +0300

Distributed work and challenges for DLP

Projections indicate that by 2026, over 70% of global companies will adopt hybrid work models, posing substantial challenges to traditional data protection strategies. Distributed infrastructure, the use of personal devices (BYOD), and the proliferation of cloud services increase the risks of confidential information leakage. Classic perimeter security measures are becoming insufficient, necessitating a shift towards more flexible and intelligent DLP solutions based on context and behavioral analysis.

Defensive architectural measures against AI data leaks and prompt injection

Fri, 10 Jul 2026 19:18:27 +0200

The evolution of artificial intelligence has shifted generative models from experimental interfaces to the core of corporate IT infrastructure. According to the Microsoft 2026 Work Trend Index Annual Report (analyzing over 100,000 chats in Microsoft 365 Copilot), 49% of conversations support complex cognitive work: data analysis, decision-making, and evaluation. However, integrating large language models (LLMs) and autonomous AI agents into closed enterprise environments creates significant information security challenges.

Classic perimeter defense tools (firewalls, WAFs) are proving ineffective against new attack vectors because they cannot recognize semantic manipulations in prompts. This leads to unauthorized access to corporate knowledge bases and the execution of destructive actions by AI agents.

AI-Native system design: risk management and operational uptime

Thu, 09 Jul 2026 08:02:03 +0200

Why 'Keepalive' Quality for AI-Native Systems Becomes Critical in 2026?

Artificial intelligence has definitively moved beyond an experimental technology for pilot projects, becoming an integral part of key business processes in finance, retail, and industry. When an AI model is responsible for credit scoring, demand forecasting, or supply chain management, its failure or degradation leads to direct financial losses and reputational damage. This is why the focus is shifting from initial model accuracy to its long-term operational stability – what is known as 'keepalive' quality.

From code development to AI system administration for enterprise engineers

Mon, 22 Jun 2026 06:11:06 +0300

The role of the enterprise developer is undergoing fundamental changes this year and in the coming ones. There is a shift from a paradigm where the developer primarily writes code to managing complex AI systems. This change requires new skills, tools, and approaches to security, especially in critical infrastructure such as banking and financial institutions.

AI in development: a new landscape for enterprise development

AI in development is not about integrating AI models into existing applications, but a fundamental change in the approach to software creation. In this architecture, AI is not an auxiliary tool but a central component involved in cognitive work that was previously the prerogative of humans: analysis, decision-making, and evaluation.

Applying supply chain security principles to AI integrations

Fri, 19 Jun 2026 13:52:35 +0300

Software supply chains are becoming increasingly complex, while dependence on third-party components continues to grow. In 2026, the industry faced a new wave of attacks targeting the npm open-source ecosystem, including the Mini Shai-Hulud campaign and the Miasma incident, during which packages within the @redhat-cloud-services namespace were compromised. Researchers discovered malicious code designed to steal credentials, access tokens, and CI/CD infrastructure secrets. This incident once again demonstrates how vulnerable even large development ecosystems remain and highlights the growing importance of securing AI integrations and software supply chains.

Corporate AI requirements: the necessity of domain-specific language models

Thu, 18 Jun 2026 06:07:17 +0300

The integration of artificial intelligence into corporate processes is no longer a future prospect but a practical reality. However, when it comes to critical data, specific business processes, and stringent security requirements, general large language models (LLMs) often prove insufficient. This year and in the coming ones, a clear trend is observed: enterprises are increasingly turning to domain-specific language models (DSLM) that enable greater accuracy, control, and compliance with regulatory norms.

Automating compliance audits with artificial intelligence

Thu, 28 May 2026 22:52:30 +0300

According to Gartner, by 2026, over 40% of large organizations will leverage AI solutions for automating audit and compliance processes, significantly accelerating the attainment and confirmation of ISO/IEC 27001 and SOC 2 certifications. Traditional audit approaches, relying on manual data collection and document review, are becoming excessively resource-intensive and slow amidst the ever-increasing complexity of IT infrastructure and regulatory requirements.

Challenges of traditional information security audits

The process of preparing for and undergoing audits for compliance with ISO/IEC 27001 and SOC 2 standards is a complex task demanding significant time and resources. The primary challenges include:

Implementing Zero Trust in legacy environments: migration versus adaptation

Tue, 26 May 2026 06:05:19 +0300

Cybersecurity challenges for legacy systems

According to Gartner research, by 2026, over 50% of organizations investing in Zero Trust solutions will not achieve expected results due to focusing solely on new systems and neglecting legacy infrastructure. Legacy systems, often the backbone of critical business operations, pose a significant risk due to the absence of modern authentication, authorization, and network segmentation mechanisms. Amidst the growing number of cyberattacks and strengthening regulatory requirements like NIS2, protecting these systems becomes a priority.

Addressing cybersecurity challenges in hybrid infrastructure

Mon, 25 May 2026 06:07:08 +0300

By 2026, over 85% of large enterprises will adopt hybrid cloud strategies, increasing demands for comprehensive information security systems (ISS). Growing data volumes, distributed infrastructure, and the constant evolution of cyber threats require companies to rethink their security approaches. Ensuring compliance with regulations like ISO/IEC 27001 and NIS2 is becoming critically important for maintaining operational resilience and customer trust.

Architectural complexities and fragmentation

Hybrid infrastructure, combining on-premises servers, private, and public clouds, creates unique challenges for ISS. Each component has its own security mechanisms, leading to fragmented control and potential gaps. This complicates centralized security policy management, monitoring, and incident response. For example, different cloud providers may have incompatible APIs for identity and access management, necessitating the development of complex integration solutions.

The 2026 landscape for AI-augmented FinOps and multi-cloud cost control

Fri, 22 May 2026 06:07:28 +0300

By 2026, over 80% of large enterprises utilizing multi-cloud infrastructures will integrate artificial intelligence into their FinOps strategies to optimize costs and enhance efficiency. This shift is driven by the increasing complexity of cloud environments, dynamic provider pricing models, and the necessity for automated analysis of vast amounts of resource consumption data.

Evolution of FinOps in multi-cloud environments

Traditional FinOps approaches, based on manual report analysis and static rules, are becoming ineffective in multi-cloud settings. The complexity lies not only in managing different pricing models across Azure, AWS, and GCP but also in tracking and forecasting costs for dynamic resources such as serverless functions, containers, and specialized AI/ML services. Companies face challenges with insufficient cost visibility, suboptimal resource utilization, and difficulties in allocating budgets across various business units.

Streamlining the transition of legacy systems to hybrid infrastructure by 2026

Thu, 21 May 2026 06:06:58 +0300

By 2026, over 80% of enterprises will utilize hybrid or multi-cloud strategies for managing their IT infrastructures, according to Gartner forecasts. This signifies that legacy system migration is evolving into a complex task, demanding not just data transfer but a profound transformation of architecture, processes, and security approaches. Optimizing this process in 2026 involves integrating on-premises resources with cloud services, ensuring business continuity, and maximizing the benefits of both environments.

Future trends in AI-powered ECM for corporate content by 2026

Wed, 20 May 2026 06:09:03 +0300

By 2026, over 70% of new enterprise content management (ECM) systems will integrate artificial intelligence capabilities to automate processes and enhance efficiency. This will transform ECM from a passive repository into a proactive decision-making tool, capable of independently processing, classifying, and analyzing vast amounts of data. The increasing complexity of regulatory requirements, growing volumes of unstructured data, and the need for business process optimization demand new approaches to information management.

Securing enterprise data within multicloud architectures

Tue, 19 May 2026 06:08:05 +0300

Challenges of hybrid and multicloud infrastructure

By 2026, over 80% of large enterprises will adopt hybrid and multicloud strategies, significantly complicating the cybersecurity landscape. The distribution of data and applications across on-premises, private, and public clouds (Azure, AWS, Google Cloud) introduces new challenges in maintaining a unified level of protection. Key issues include fragmented security policies, monitoring complexity, identity and access management, and ensuring compliance with regulations such as ISO/IEC 27001 and Ukrainian CIS standards.

Protocols for data security during employee offboarding by 2026

Mon, 18 May 2026 06:12:10 +0300

According to analytical reports, by 2026, up to 70% of corporate data breaches will be linked to insufficiently effective employee offboarding processes. This highlights the critical need to review and strengthen access management policies after termination. Despite significant investments in perimeter security and threat detection systems, internal risks, particularly those arising from the improper disconnection of former employees from corporate systems, remain one of the most serious vulnerabilities.

Improving system integration quality through AI-based data governance

Thu, 14 May 2026 06:07:16 +0300

By 2026, over 70% of successful digital transformation initiatives will rely on an effective Data Governance strategy integrated with artificial intelligence capabilities. This will enable addressing data quality issues critical for system integration. The increasing complexity of enterprise IT landscapes, encompassing on-premises systems, cloud solutions, and hybrid infrastructures, necessitates a new approach to data management where AI becomes not just a tool, but a central element of the strategy.

Securing APIs against emerging threats with AI technology

Wed, 13 May 2026 06:08:01 +0300

By 2026, Gartner predicts that 40% of web application attacks will utilize APIs as their primary vector, underscoring the critical importance of strengthening application programming interface security within system integration contexts. The increasing complexity of enterprise landscapes, encompassing hybrid and multi-cloud environments, expands the attack surface for potential adversaries. Traditional defense methods are no longer sufficient to effectively counter dynamic and adaptive threats, demanding the integration of artificial intelligence-based solutions.

Streamlining ISO/IEC 27001 audit processes with AI by 2026

Tue, 12 May 2026 06:08:06 +0300

According to forecasts, by 2026, the volume of data requiring analysis to confirm compliance with cybersecurity standards will increase by 40% compared to the current year. This creates a significant burden on internal teams and external auditors, especially in the context of regular ISO/IEC 27001 compliance checks. The adoption of AI-driven tools is becoming not just an advantage, but a necessity for effective compliance management.

Challenges of Traditional ISO/IEC 27001 Audits

Traditional ISO/IEC 27001 audits are labor-intensive processes that require manual collection, analysis, and verification of vast amounts of information. Key challenges include:

Platform Engineering: Accelerating Delivery in Enterprise

Mon, 11 May 2026 13:46:31 +0300

In 2026, software delivery speed in the enterprise sector has moved beyond a competitive advantage to a matter of survival amid complex regulatory demands and market volatility. When IT teams spend 60% of their time on infrastructure maintenance, technical debt, and manual release management, business value suffers. The traditional "DevOps engineer per team" model is failing due to talent shortages and excessive cognitive load. Platform Engineering is the solution, shifting focus to Internal Developer Platforms (IDP) that allow developers to prioritize business logic over Kubernetes configurations.

Current developments in multi-cloud and cloud infrastructure

Mon, 11 May 2026 06:06:53 +0300

According to the latest analytical reports, over 85% of enterprises are already using or planning to adopt multi-cloud strategies within the next two years. This reflects a fundamental shift from monolithic on-premises infrastructures to more flexible, scalable, and resilient architectures. The benefits of multi-cloud are evident: avoiding vendor lock-in, optimizing costs by selecting the best offerings for specific workloads, and improving fault tolerance and geographic availability.

Hybrid infrastructure, combining on-premises resources with public clouds, remains a key element of the strategy for many large organizations, especially in sectors with stringent regulatory requirements or significant investments in their own data centers. This allows for maintaining control over critical data and applications while leveraging the scalability and innovation of cloud services.

Scaling AI-assisted development: evolving from code generation to engineering standards

Thu, 07 May 2026 12:11:28 +0300

By 2027, the integration of artificial intelligence into software development will finally evolve from experimental code writing into a mature engineering discipline. For the enterprise segment, the days when AI assistant adoption was viewed as simple routine automation are over. Today, scaling such tools requires strict adherence to security standards, architectural control, and continuous delivery practices.

Engineering teams face a complex challenge: how to balance the speed of AI-assisted code generation with the need to maintain stability, security, and the long-term architectural viability (keepalive quality) of enterprise software. Unsystematic use of AI creates an illusion of high productivity, but in practice, it often leads to the rapid accumulation of technical debt, the emergence of hidden vulnerabilities, and the erosion of system architectural boundaries.

Adopting Zero Trust architecture for modern ERP security

Tue, 05 May 2026 06:08:34 +0300

According to Microsoft, implementing Zero Trust principles can reduce the risk of successful cyberattacks by 50% or more. For mission-critical systems like ERP, which store financial, operational, and sensitive data, the traditional "trust but verify" approach has proven insufficient. Perimeter security, which assumes trust within internal networks, is no longer effective in the face of hybrid cloud infrastructures, remote work, and ever-increasing threat complexity.

What is Zero Trust and why is it important for ERP?

Zero Trust is a cybersecurity model based on the principle of "never trust, always verify." It requires that every user, device, application, or workload, regardless of its location, be authenticated, authorized, and continuously verified before being granted access to network resources. For ERP systems, which are the central nervous system of any enterprise, this means:

Production-ready integration of AI/ML models into software products

Mon, 04 May 2026 15:36:44 +0300

As organizations move beyond AI experimentation, transitioning from prototype to industrial operation requires a shift from ad-hoc development to rigorous engineering standards. Enterprise teams often struggle to maintain stable AI/ML systems in production due to a lack of operational discipline. This leads to reliability issues, security vulnerabilities, and an inability to scale solutions beyond initial prototypes.

Moving to an industrial standard is not a one-time event, but an evolutionary increase in the maturity of the entire system. However, it is important to understand that using engineering frameworks does not guarantee an absence of failures. These are primarily risk management and mitigation strategies, not absolute immunity. Their goal is to make failures predictable and manageable.

Mitigating 2026 insider threats via AI-enhanced offboarding

Mon, 04 May 2026 06:05:48 +0300

Approximately 60% of corporate data breaches in 2025 were recorded after an employee's termination – while their access formally remained active. Insider threats originating from current or former employees, contractors, or partners remain one of the most complex cybersecurity challenges. With the evolution of hybrid work models and the widespread use of cloud services, traditional offboarding approaches are becoming insufficient for effectively protecting sensitive data. In 2026, companies will increasingly turn to AI-based solutions to automate and enhance employee offboarding processes, minimizing risks.

How API-centric integration improves enterprise time-to-market

Thu, 30 Apr 2026 06:05:48 +0300

According to Gartner, by 2025, over 65% of global companies will use APIs as the primary integration mechanism for their critical business applications. This trend is driven by the need to accelerate time-to-market, enhance operational efficiency, and ensure flexibility amidst rapid market changes. API-driven system integration allows businesses to quickly adapt their IT landscapes by integrating new services and solutions without significant rework of existing systems.

Role of APIs in modern IT landscapes

APIs (Application Programming Interfaces) act as bridges between different software components, enabling them to interact and exchange data. In the context of system integration, APIs provide a standardized and secure way to connect enterprise applications such as ERP, CRM, ECM, and specialized industry systems. This facilitates the creation of modular, flexible, and scalable architectures that easily adapt to new business requirements.

Ensuring NIS2 and ISO/IEC 27001 compliance in cybersecurity

Wed, 29 Apr 2026 06:07:31 +0300

In October 2024, the NIS2 directive became effective in the EU, expanding the scope of cybersecurity requirements to a significantly larger number of sectors than its predecessor. This means companies working with European clients or as part of their supply chains must bring their systems and processes into compliance with the new standards. Simultaneously, the international standard ISO/IEC 27001 remains a fundamental tool for building and maintaining an effective information security management system.

Improving enterprise delivery speed safely through DevOps and CI/CD pipelines

Mon, 27 Apr 2026 10:42:14 +0300

In modern enterprise IT systems, the speed of delivery determines a company's competitive advantage. However, large organizations often face a common problem: attempting to accelerate development without a solid engineering foundation leads to production failures and the accumulation of technical debt. The primary challenge for CTOs, VPs of Engineering, and IT directors lies in implementing standardized DevOps and CI/CD frameworks that reduce time-to-market while maintaining operational reliability.

The root of the problem often lies in the lack of a unified engineering discipline. When releases occur without automated quality control and infrastructure is deployed manually, a gap emerges between development and operations. To overcome this barrier, enterprise teams are shifting toward measurable software delivery processes and the use of specialized internal platforms.

Corporate document management and ECM solutions

Mon, 27 Apr 2026 06:07:41 +0300

Challenges in corporate document management

Corporate document management is one of the most complex tasks for organizations of any size. The growing volume of data, the need to comply with regulatory requirements, and the demand for quick access to information create significant challenges. Manual document processing leads to wasted time, errors, reduced productivity, and increased security risks. Typical problems include disparate information repositories, lack of unified standards, difficulties with version control and access, and slow document approval and signing.

Maintaining code quality and addressing technical debt in enterprise environments

Fri, 24 Apr 2026 14:23:29 +0300

In the era of rapid AI integration and market pressure for faster releases, maintaining engineering discipline through rigorous testing and technical debt management is critical for the survival of stable production systems. Enterprise IT teams are torn between business demands to deploy new functionality as quickly as possible and the need to maintain code quality. This often leads to the accumulation of unmanaged technical debt, unpredictable failures, and situations where it is easier to rewrite a system from scratch than to scale it. Delivering features without engineering discipline (code review, automated testing) creates only an illusion of progress. True balance is achieved by implementing measurable reliability metrics and using proven platforms to reduce the volume of custom code.

Enterprise data management and governance for system integration

Fri, 24 Apr 2026 06:10:33 +0300

According to Gartner, by 2026, over 80% of organizations that fail to implement comprehensive Data Governance strategies will face significant fines for non-compliance or lose competitive advantages due to poor data quality. Enterprise Data Management and Data Governance have become critical components for any company striving for effective digitalization and system integration. This is not merely a set of rules but an integrated strategy encompassing processes, policies, standards, and technologies to ensure data quality, security, and accessibility throughout its entire lifecycle.

Deployment of AI agents within enterprise environments

Wed, 22 Apr 2026 07:04:51 +0300

A typical scenario: the finance department of a large bank processes thousands of transactions every day, identifies potential anomalies, generates reports, and responds to customer inquiries. Each of these processes requires significant human effort, carries a risk of errors, and often delays important business decisions. This is where AI agents come into play — autonomous software entities capable of collecting information from digital environments, processing it, making decisions, and performing actions to achieve specific goals. They do not simply automate business processes; they make them more intelligent, allowing organizations to focus on strategic priorities.

Trends in AI and VoIP business communications for 2026

Mon, 20 Apr 2026 06:05:51 +0300

Traditional analog PBX systems increasingly fail to meet modern business requirements for scalability, flexibility, and integration with corporate applications. Their maintenance is costly, while their functionality is often limited. VoIP (Voice over Internet Protocol) fundamentally transforms business communications by converting voice calls into digital data transmitted over IP networks. This approach delivers a range of benefits that have become essential for modern organizations.

Cost reduction: lower international and long-distance calling expenses through the use of existing internet infrastructure.
Scalability: rapid addition or removal of users and expansion of functionality without significant capital investments.
Flexibility and mobility: access to corporate telephony from anywhere via IP phones, softphones, or mobile applications.
Integration: seamless connectivity with CRM, ERP, document management systems, and other business applications through APIs.

AI in Communications: A New Level of Interaction

Artificial Intelligence (AI) is transforming business communications far beyond traditional automation. Modern AI solutions can analyze large volumes of data, understand natural language, predict customer behavior, and personalize interactions. This not only improves operational efficiency but also enhances customer experience.

Methodologies for FinOps and cloud expenditure management

Mon, 20 Apr 2026 06:05:26 +0300

The head of the development department at a major financial institution faced a challenge: despite all efforts to optimize the architecture, the monthly cloud services bill continued to grow, regularly exceeding the planned budget by 15-20%. Analysis revealed that the causes were not only unaccounted-for peak loads but also inefficient resource utilization, redundant capacity, and a lack of transparency in cost allocation across various projects. This scenario, unfortunately, is typical for many companies migrating to the cloud without a clear cost management strategy.

Designing enterprise architecture to prevent distributed monolith patterns

Fri, 17 Apr 2026 10:49:27 +0300

Modern enterprise organizations must constantly balance architectural flexibility with operational stability. The rapid transition to microservices and cloud-native solutions brings not only scalability but also significant operational complexity, which requires rigorous engineering discipline. Architects and CTOs often face a dilemma when choosing an architectural style, frequently underestimating the hidden costs of distributed data management and monitoring complexity.

The core of the problem lies in violating business domain boundaries and ignoring the cost of transactional integrity in distributed systems. Instead of simplifying development, teams often end up with a so-called "distributed monolith"—a system where services are tightly coupled over the network but deployed separately, which increases operational risks and makes releasing updates critically difficult.

MDM and data integration strategies for large enterprises

Fri, 17 Apr 2026 06:08:19 +0300

In a large industrial enterprise with a long history, there are multiple ERP systems, separate CRM solutions for different departments, legacy databases with information on equipment and suppliers, and new cloud services for logistics management. Each department works with its own data, which is often duplicated, contradictory, or simply missing in other systems. The marketing department launches a campaign based on one set of customer data, the sales department uses another, and the finance department cannot even compile a unified profit report because information about the same products has different identifiers in different systems. This leads to operational delays, incorrect decisions, lost profits, and reduced competitiveness. This is where system integration and Master Data Management (MDM) become not just desirable, but critically important tools.

Balancing Security and Agility in Hybrid Infrastructure

Tue, 14 Apr 2026 06:05:43 +0300

When a major bank decided to migrate part of its critical financial operations to the cloud, it faced a dilemma: how to ensure regulatory compliance and a high level of security while retaining the benefits of cloud services' flexibility and scalability? This is a classic scenario illustrating the challenges organizations face when building a hybrid infrastructure. Modern organizations aim to leverage the best aspects of both on-premise solutions and public or private clouds to optimize costs, enhance resilience, and accelerate time-to-market for new products.

Corporate ECM and Document Management Outlook for 2026

Mon, 13 Apr 2026 23:27:51 +0300

Modern business is rapidly shifting from chaotic file exchange to systematic digital transformation. ECM (Enterprise Content Management) is becoming not just a technology, but the foundation of information management in organizations — from workflow automation to building full-fledged digital workplaces. In 2026, the focus is shifting toward AI support, low-code platforms, security, integrations, and flexible solutions.

1) AI becomes part of every document

Artificial intelligence turns documents from “static files” into data sources. Systems can already:

automatically classify and recognize documents;
extract metadata, counterparty data, and key contract terms;
generate summaries, detect risks and anomalies;
answer questions about document content in chat mode.

2) Low-code and no-code — the new standard

Companies no longer want to wait months for custom development. Low-code tools allow business users to:

create approval workflows,
modify document routing,
launch integrations with other systems without extensive IT resources.

3) Integration and API ecosystems

ECM is becoming part of the digital ecosystem: CRM, ERP, electronic signatures, banks, registries, and cloud services. The API-driven approach makes document management part of end-to-end business processes, not just a separate “folder”.

4) Hybrid and cloud model

Organizations combine on-premise and cloud solutions to balance control, security, and scalability. This is especially important for the public sector, finance, and critical infrastructure.

5) Security and audit “by default”

Encryption, access roles, version control, event logs, and full auditability are becoming baseline requirements rather than “optional extras”. Regulatory compliance is becoming a built-in part of the platform.

How enterprise solution vendors adapt their products to modern conditions

The companies within the group have been working for many years in ECM, process automation, and digital transformation. A key contribution in this area is made by a specialized provider of document management systems and digital transformation solutions.

Among the key products and approaches:

Corporate document management based on a specialized platform — a full cycle of working with documents: from creation and approval to archiving, control, and audit. Business process management using a low-code platform — for fast creation and modification of processes without deep programming. Electronic archiving and content management through a dedicated repository — centralized storage, fast search, secure access. AI-oriented tools in document management systems — document processing automation and intelligent content classification. A development and integration platform for building custom systems, complex integrations, and scalable services. In practical implementations, the provider achieves key results: significantly reduced document approval times, lower paper-related costs, increased process transparency, and rapid scalability of solutions to meet new needs. Experience from projects in the financial sector, government, agriculture, energy, and retail shows that ECM combined with BPM and AI becomes a strategic transformation tool rather than just an auxiliary system.

What’s next?

In 2026, ECM is becoming an “intelligent layer” of corporate architecture:

documents become sources of analytics;
AI supports decision-making;
low-code accelerates change;
security and audit are built in “out of the box”.

Organizations that are already investing in ECM gain not just a digital archive, but a managed, transparent, and scalable business process — a foundation for further digital transformation.

Boosting development team velocity with platform engineering and IDP

Mon, 13 Apr 2026 12:04:56 +0300

Platform engineering is evolving from a niche practice into a critical corporate strategy for scaling software delivery and managing developer cognitive load. Attempting to burden a single person with writing business logic, designing databases, and configuring cloud resources often leads to engineers drowning in operational complexity.

Development teams spend too much time on routine infrastructure setup, which causes environment inconsistency, slower lead times, and reduced deployment frequency. The solution is building an Internal Developer Platform (IDP) that automates routine operations and provides infrastructure as a convenient internal service.

AI Agents in Enterprise: Automating Tasks and Supporting Decisions

Wed, 08 Apr 2026 09:00:00 +0300

Large Language Models (LLMs) have redefined the capabilities of software. However, in an enterprise context, the true value of AI is unlocked through integration with business processes, where an AI agent doesn't just respond but actively performs actions within systems.

What is an AI Agent in an Enterprise Context?

An AI agent is a software component capable of independently planning a sequence of actions to achieve a specific goal, leveraging a set of available tools. In an enterprise environment, these 'tools' typically refer to the APIs of corporate systems such as ERP, ECM, CRM, databases, and external registries.

Balancing low-code tools and custom code in enterprise development

Mon, 06 Apr 2026 12:49:54 +0300

Enterprise IT leaders are increasingly adopting hybrid development models. Organizations strive to combine the delivery speed of low-code platforms with the full architectural control, scalability, and security of custom software. The main dilemma lies in integrating these approaches without losing long-term code manageability or accumulating technical debt.

The speed trap: why isolated low-code creates architectural risks

The drive to minimize time-to-market sometimes pushes companies to extremes—abandoning traditional coding for closed visual builders. Initially, building interfaces and forms quickly seems like a clear win. However, organizations soon face limitations: implementing unique business logic becomes difficult, integration issues arise, and business units start creating "shadow IT" systems that bypass security audits.

Applying architectural discipline when scaling from MVP to production

Mon, 06 Apr 2026 12:28:32 +0300

In modern enterprise environments, the transition from an MVP (Minimum Viable Product) to a production-ready platform requires replacing intuitive coding with rigorous engineering discipline. This is the only path that allows for business scaling without sacrificing reliability or manageability. Teams often struggle to scale an MVP due to accumulated technical debt, a lack of standardized deployment processes, and infrastructure unprepared for real-world loads. The quick hacks and compromises that helped launch a prototype and validate product hypotheses become significant architectural blockers as demand grows. The system was simply not designed for the stringent requirements of high availability, security, and horizontal scaling.

Decision framework for custom software development versus off-the-shelf solutions

Fri, 03 Apr 2026 09:49:42 +0300

In modern enterprise architecture, the "build vs. buy" dilemma has long transcended simple comparisons of license fees and developer man-hours. The rise of platform engineering and the evolution of cloud services have shifted the focus toward evaluating long-term total cost of ownership (TCO), lead time for changes, and technical debt management. Today, IT leaders must balance the immediate time-to-market promised by SaaS products with the strategic flexibility provided by custom development.

Deploying domain-specific AI models in enterprise environments

Mon, 23 Mar 2026 16:52:43 +0200

In 2026, the corporate environment is undergoing a significant transformation, where artificial intelligence is moving from experimental projects to the core of new solution architectures. The 2026-2027 horizon is defining, as large-scale AI integration into business processes is occurring now, demanding a shift from general models to highly specialized ones. According to Gartner, by 2028, over half of the GenAI models enterprises will use will be domain-specific, underscoring the relevance of this direction today. This trend is driven by the need for deeper automation of cognitive work and decision-making, as well as the necessity to manage AI risks beyond standard approaches.

2026 Electronic Document Management: AI-driven archiving and support

Fri, 06 Mar 2026 11:21:34 +0200

Electronic Document Management 2026: AI Assistants and Archiving Automation

At the end of reporting periods, legal and administrative departments process large volumes of documents: contracts, addenda, invoices, and acts. Each document must be classified, validated, enriched with metadata, and archived. These operations are still often manual or semi-automated, making them time-consuming and prone to errors, delays, and data inconsistencies.

Modern document management approaches rely on AI/ML technologies to automate these processes. These are no longer experimental tools but applied solutions already used in enterprise ECM and DMS systems (Enterprise Content Management / Document Management Systems).

AI Coding: Implementing Copilot Without Compromising Software Quality

Tue, 24 Feb 2026 15:25:00 +0200

By mid-2026, CIOs and CTOs face complex challenges, ranging from achieving full energy independence for IT infrastructure to strict compliance with European NIS2 and DORA directives. Amidst a talent shortage, generative AI and AI agents have evolved from trends into essential tools for maintaining development velocity. However, integrating AI coding into corporate environments introduces risks regarding code security, licensing integrity, and adherence to internal quality standards—factors critical for businesses handling personal data or integrating with the Diia ecosystem (Ukraine’s government digital service platform requiring Qualified Electronic Signatures, or QES).

RAG on Corporate Data: How to Avoid AI Hallucinations

Wed, 11 Feb 2026 10:45:00 +0200

By 2026, generative AI adoption in the Ukrainian corporate sector has shifted from experimentation to pragmatic implementation. For CIOs and CTOs, the focus is no longer on "whether" to use AI, but on how to integrate it into internal business processes while mitigating risks of data leaks, hallucinations, and non-compliance with regulations such as DORA or NIS2. Retrieval-Augmented Generation (RAG) has emerged as the gold standard for corporate AI, allowing models to ground responses in a company's actual knowledge base rather than relying solely on limited LLM training data.

Integrating RPA and low-code for advanced BPM automation by 2026

Fri, 30 Jan 2026 12:39:06 +0200

By 2026, over 80% of large enterprises will utilize a combination of Robotic Process Automation (RPA) and low-code platforms to optimize business processes. This Gartner forecast highlights the growing need for tools that not only automate routine operations but also allow for rapid adaptation of business logic to changing conditions. Complex Business Process Management (BPM) processes, spanning multiple departments, integrating with diverse systems, and involving dynamic execution conditions, demand a flexible and efficient approach that merges robotic capabilities with rapid application development.

Low-code platforms enhanced by AI to boost BPM efficiency by 2026

Fri, 23 Jan 2026 12:21:11 +0200

By 2026, over 75% of new enterprise applications are projected to be developed using low-code or no-code platforms. This trend addresses the growing need for rapid business process digitalization and adaptation to dynamic market conditions. For Business Process Management (BPM) systems, this signifies revolutionary changes, especially with the integration of artificial intelligence capabilities.

Evolution of BPM systems: from manual configuration to AI optimization

Traditional BPM system development often requires significant resources, lengthy development cycles, and deep technical expertise. Low-code platforms have already simplified this process, enabling business analysts and developers to create functional solutions with minimal coding. However, AI integration elevates this paradigm to a new level. AI-driven low-code platforms can automatically generate code snippets, suggest optimal process pathways, identify bottlenecks, and even predict system behavior based on historical data.

Zero Trust for legacy systems: replacement or adaptation by 2026?

Fri, 23 Jan 2026 11:27:45 +0200

According to Microsoft, 80% of cyberattacks in 2023 were linked to compromised credentials, highlighting the ineffectiveness of traditional perimeter security models. The Zero Trust concept, which mandates continuous verification of access to resources regardless of their location, is no longer just a recommendation but a necessity. However, its implementation in environments dominated by legacy systems, developed decades ago without consideration for modern threats, presents a significant challenge.

Addressing offboarding as a critical cybersecurity vulnerability

Fri, 16 Jan 2026 15:46:29 +0200

Imagine this scenario: a valuable developer with access to critical repositories and production systems leaves the company. The offboarding procedure is limited to returning a laptop and signing a clearance form. Months later, during an internal audit, it's discovered that their Gitlab account is still active, and access keys to cloud services were never revoked. This isn't a hypothetical situation but a real vulnerability that threatens thousands of companies daily.

API-first Strategy: Foundation for Service Scaling

Wed, 14 Jan 2026 11:33:05 +0200

By 2026, the IT landscape in Ukraine has been fundamentally reshaped by the dual pressures of maintaining business continuity during energy instability and the explosive demand for generative AI integration. For modern CIOs and CTOs, an API-first strategy is no longer merely a matter of clean architecture—it is a strategic imperative for survival and scaling. As every new AI agent or automation service demands data access, monolithic systems have become bottlenecks that stifle digital transformation.

Implementing Zero Trust for Hybrid Infrastructure Security

Thu, 08 Jan 2026 09:39:00 +0200

Imagine this scenario: a remote employee connects to the corporate network via VPN. The traditional security model often grants them broad access to internal resources after a single authentication. But what if their device is compromised, or their credentials are stolen? This is precisely where the fundamental weakness of outdated approaches lies, opening the door for attackers to move laterally within the network. In hybrid infrastructures, where data and applications are distributed across on-premises servers, private, and public clouds, this risk is amplified.

Applications of AI in Drug Safety Monitoring

Mon, 28 Mar 2022 14:06:39 +0300

written by: Serhii Tykhonov Head of BA

Drug safety and revealing drug adverse effects have always been a priority in the healthcare service. It increased in Covid and post-Covid times with the tensions around vaccine safety. AI solutions developers are convinced that AI can find new adverse drug effects much faster and more effectively than people do while significantly increasing drug safety.

Drug safety regulations differ from country to country and can encompass different reporting requirements. This undermines that drug adverse effects need to be collected from as wide a range of sources as possible.

Boosting Healthcare Hardware Sales by 21% Using AR/MR Tools

Tue, 22 Feb 2022 11:33:05 +0300

The market of healthcare hardware is growing steadily. However, it still remains sensitive to pandemic restrictions. To the healthcare companies that sell workstations, medical devices, or medical screens, it is crucial to have the ability to demonstrate the products to potential customers. Seeing is believing in many cases, and the niche of medical hardware is not the exception.

Using augmented reality and mixed reality applications for remote instead of the traditional “visit our website” approach can increase sales dramatically.

Educational and Therapeutic Gamification in Healthcare

Mon, 21 Feb 2022 12:59:40 +0300

written by: Serhii Tykhonov Head of BA

Games are vital for human development, even in adult age. They help to relax, get distracted from everyday troubles, and make us feel good! Board games are still very popular, and video games can easily become addictive. Using this knowledge about the nature of games, more businesses implement gamification in their routine processes and operations. For instance, retailers use gamification to train employees, attract more customers, and make the overall shopping process more joyful. Healthcare is not the exception.

Therapeutic Benefits of VR in Psychotherapy Applications

Tue, 15 Feb 2022 15:04:26 +0300

written by: Nina Sharaievskaya Head of EHS

Virtual reality presupposes the creation of a fully simulated environment with the help of VR glasses, such as HTC Vive or Oculus Rift. This environment can be 100% artificially modeled or recreated from photos or videos. Putting on VR glasses, a user experiences full immersion and emotional detachment from reality and finds himself/herself in a totally different dimension because of the 360-degree view.

Quality Control via Computer Vision in Manufacturing

Tue, 30 Nov 2021 02:04:47 +0300

written by: Igor Sharinskyi Delivery Manager

As buyers and producers of goods are approaching the winter holiday season, both expect exquisite gifts and a safe environment. Assuring the quality of goods and keeping employees safe is the task that developers of computer vision manufacturing are best at.

Computer Vision for Quality Control

Enterprises value machine vision manufacturing solutions because they can promptly find inaccuracies in commodities during their production. In this way, enterprises can safeguard products’ quality. And, very importantly, CV solutions are capable of identifying the cause of inaccuracies. By checking and solving the flaws of production machines on a plant, companies can plan more volumes for each machine. This means that CV solutions can enhance sustainability and raise the productivity of enterprises without raising the number of machines.

Evaluating Custom E-Commerce Software Against SaaS Platforms

Mon, 29 Nov 2021 03:21:09 +0300

written by: Denis Bedun Delivery Director

Why Do Companies Need a Custom E-commerce Platform Instead of SaaS?

When the revenue of the shop rises, and the customer base increases, then the common desire of the company will be more customization of its online shop. As it turns out, large successful e-commerce companies will not be satisfied with the regular SaaS marketplaces and choose custom marketplaces development.

Comparing Custom Software vs SaaS: 10 Reasons to Invest in the First

Implementation of AR/VR for EHS Systems

Wed, 17 Nov 2021 12:49:01 +0300

written by: Nina Sharayevskaya Head of EHS

EHS management is undergoing a transformation with the influence of modern technologies: Virtual Reality, Machine Learning, Computer Vision, and others. This article will focus on Augmented Reality (AR) and Virtual Reality (VR) in EHS. Specifically, we’ll discuss the following topics:

AR/VR in times of social distancing;
AR/VR for a safer workplace: onboarding training, safety training, remote assistance;
Emergency response. Strengthening the capacities with virtual reality;
Virtual life-saving tools for medical use: VR medical training, VR for pain relief, AR for interventional procedures.

Also, we’ll share an insight into the future of such technologies. Let’s go!

AI Integration in Retail Marketing and E-commerce

Tue, 09 Nov 2021 23:58:13 +0300

written by: Olha Shyrykhalova CMO

AI is an umbrella term that includes many categories: Machine Learning, Computer Vision, Optical Character Recognition, Deep Learning, and Natural Language Processing. Each of these subtypes has direct applications in e-commerce & retail marketing. AI-based solutions include:

Recommender engines;
Pricing algorithms;
Intelligent Virtual Assistants (chatbots of a new generation);
Computer Vision retail analytics (heatmaps of the stores, control of the goods on the shelves, sentiment analysis).

Some solutions, such as recommender systems, are more popular and familiar to clients. Others require more time and resources for understanding and implementation. But don’t worry, we’ll explain them all.

Custom Software vs. SaaS: 10 Advantages of Bespoke Development

Mon, 27 Sep 2021 16:08:07 +0300

written by: Olha Shyrykhalova CMO

Our customers often ask: “Do you have an out-of-the-box (off-the-shelf) solution for us? A ready-made software?” We explain that we create custom software and mention the following example:

There are many website templates using which you can create a simple website within a day! Nevertheless, most businesses still choose custom ( long and more expensive) website development that meets their requirements. And they have unique, more attractive, and more relevant websites in the end.

Leveraging NLP for Financial Data Analysis

Tue, 10 Aug 2021 06:57:22 +0300

As there is so much textual information in the finance sector, financial entities resort to software based on natural language processing to better process it. These solutions are constantly developing and going live. This article describes popular and new NLP use cases in finance.

What is NLP?

Natural language processing is the capacity of software to understand human speech in voice and text. NLP is a part of AI.

Financial companies apply the capacity of machines to work with the text to find and analyze data in their domain. They can search both in free, unstructured data and in their own repositories. Companies utilize voice processing in smart means of voice communication.

Smart Medical Data Organization via EHR Solutions

Mon, 09 Aug 2021 05:48:26 +0300

written by: Nina Sharayevskaya Head Environment, Health & Safety Business

It’s hard to find a medical institution with no electronic workflow. But not all of the systems that maintain this workflow are smart. With smart EHRs, healthcare entities can utilize extended search options, data from wearables, and smart recommendations.

What is EHR?

The electronic health record software is an integrated repository solution that stores data about all healthcare assistance that a certain patient received during all their life. It documents the who, what, why, when, where, and how of their interactions with medical entities.

Selecting a Qualified Machine Vision Development Partner

Mon, 19 Jul 2021 11:10:18 +0300

written by: Serhii Tikhonov Head of Business Analysis

Via vision, we receive 80% of all the information. Machine Vision (or Computer Vision) is also the fastest way for any company to reach its goal.

Choosing the right partner is a big decision. In 1985, Apple’s directors let Steve Jobs go because they thought he didn’t cope. And in 1996, they invited him back. The company was close to bankruptcy, and Steve Jobs was having a successful career in Disney. And in a few years, they became profitable again. That was the time when the world saw iPhones and iPads. Obviously, Apple’s board made the right choice.

Transforming the Customer Experience with Augmented Reality Shopping

Wed, 07 Jul 2021 00:04:00 +0300

This is an example of a 3D model of the product available in the AR product configurator. And it redefines the way people buy things dramatically.

Shopping Before Covid: How Did People Choose a Pair of Shoes 5 Years Ago?

The majority of people would go to the local shopping mall to try 3-5 different pairs until they could find the one that would fit the most. At that time, the main task of any retailer was to provide customers with the most outstanding choice of goods offline.

15 Typical Deep Learning Applications Across Various Sectors

Tue, 06 Jul 2021 07:01:46 +0300

Deep learning is already a luxurious and also trivial part of our life. It makes us feel happier and grows our businesses. DL endows us with self-driving cars for advanced driving, virtual assistants to use the Internet on the go, fraud detection for insurance, and predictive advertising for higher revenues. This article sneaks behind the curtain and explains how DL works, showing the most common deep learning use cases across industries.

Practical Applications of Data Science in E-commerce

Wed, 09 Jun 2021 00:27:47 +0300

written by: Denis Bedun Delivery Director

When you see particularly appealing products on the web, it means that machine learning algorithms have selected them for you.

Data science in e-commerce allows companies to collect, analyze, and apply valuable information for improving sales and marketing processes. Smart technologies sneak into e-commerce and boost profits with personalized recommended lists, dynamic pricing, and prediction of customers’ buying behavior.

To get machine learning data science solutions, e-commerce companies share their domain expertise with developer companies, and the latter rig it with algorithms and models from AI, mathematics, and statistics fields. With the help of these kits, e-commerce companies can leverage more aware business strategies and make evidence- and insight-based decisions.

Trends in AI-Driven Medical Image Analysis Using CV and ML

Mon, 24 May 2021 08:33:54 +0300

written by: Igor Sharinskyi Delivery Director

Medical imaging and medical image analysis represent the core of digital health. Evaluations based on Deep Learning algorithms are now employed to solve cases that other technologies cannot cover. In his lecture, Anders Heyden from Lund University, Sweden, gives an eloquent and complete definition of medical image analysis. He says:

Medical image analysis is the science of solving/analyzing medical problems based on different imaging modalities and digital image analysis techniques.

Developing Video Analytics Software for Intelligent Traffic Systems

Fri, 21 May 2021 14:47:15 +0300

written by: Sergiy Tikhonov Head of BA Unit

Let’s Discuss Your Smart Traffic Solution

Probably some people were wondering what are these small cameras on traffic lights. These are the traffic cameras, and they serve as one small example of urban infrastructure nowadays that can be improved by enterprise solution vendors in creating video analytics software.

Generally, Video Analytics software development based on Computer Vision and Machine Learning are becoming integrated part of smart cities and futuristic urban spaces. First of all, because these solutions significantly facilitate traffic and logistics depending on where installed. A number of reports signify that the state, local authorities, and businesses show growing interest in Video Analytics solutions. According to MarketsandMarkets Global Forecast, Video Analytics Market will grow 19% from US$ 4.9 billion in 2020 to US$ 11.7 billion in 2015 for Traffic Monitoring, Incident Detection, People/Crowd Counting, Intrusion Management On-premises and Cloud.

For an AI software developer company, Video Analytics for smart traffic comes to automatically recognizing temporal, spatial, or disguised events on the roads in videos using Computer Vision and Machine Learning. The video-analytical solutions can detect different events: traffic jams, accidents, speeding, suspicious objects, and flashes of fire. Artificial Intelligence performs these tasks more effectively than humans or other technologies do.

Best Practices in Software Development: Leveraging Third-Party Code Reviews

Mon, 26 Apr 2021 14:16:51 +0300

written by: Robert Gelinas Chief Revenue Officer

Rest assured, a software code review isn’t the same as an official auditor going over your financial records. Auditors are looking for regulatory compliance, errors, omissions, etc. – basically searching for where you’ve either made mistakes or may have cheated. And most of the time, the financial auditor doesn’t care what the motive was; if there’s something wrong, you’re in trouble. This is what makes such events, in most people’s minds, undesirable, unpleasant, and to be avoided if at all possible.

Implementation of Artificial Intelligence in the Pharmaceutical Industry

Tue, 06 Apr 2021 13:08:41 +0300

written by: Sergiy Tikhonov Head of BA Unit

Artificial Intelligence encompasses systems that can mimic human cognitive capabilities, like learning from examples and solving problems. AI solutions development companies offer to the Pharmaceutical industry to substitute human intelligence and human force with AI automated algorithms and systems where required and where possible and receive more convincing results in a much shorter time.

According to Tufts Center for the Study of Drug Development, today, it costs 1.3 billion dollars to take a drug through the R&D phase and the FDA approval phase. Artificial Intelligence in Pharma gets more hope and trust as the states face pandemic, urgent mass-scale demand for new drugs, and incurable diseases.

Advantages of AI and Machine Learning for FinTech Organizations

Thu, 11 Mar 2021 15:42:08 +0300

written by: Serhii Tikhonov Head of BA

In the FinTech industry, the use of Artificial Intelligence (AI) and Machine Learning (ML) on par with Big Data, Data Mining, and Deep Learning has considerably grown over the decade. AI Transformation in FinTech represents an integrated part of the Worldwide Industrial Transformation. It has been triggered by the continuous reshaping of the FinTech consumer market from Millennials to Gen Z being spurred by Baby Boomers.

Augmented Reality Product Configurators for Omnichannel Retail

Wed, 10 Mar 2021 16:08:06 +0300

Most international corporations such as Nike, Adidas, Lacoste, and Timberland vigorously harness Augmented Reality (AR) product configurators to reach their online and offline customers worldwide.

Previewing and trying products in AR before purchase and configuring items in AR product configurators before the actual buying make sales soar.

SaleForce research reports that 75% of their clients are waiting for new technologies for better experiences;
TechJury states that, by 2020, there is already 1 Billion clients who use AR and AR product configurators;
Gartner follows TechJury, saying that, by 2020, 100 Million users shop with AR online and in-store;
CitrusBits expects that, by 2022, there will be 3.5 users of AR and AR product configurators.

PwC UK economists published their report Seeing is Believing, which assures that, by 2030, Virtual and Augmented Reality can deliver a £1.4trillion boost to the global economy.

Outsourcing Key Components of UI/UX Design and Development

Fri, 19 Feb 2021 21:03:00 +0300

written by: Stan Zadvornyy Chief Design Officer

Each of the development process parts is equally important for the success of the final product. To come up with a demanded solution, you need to get started with market research, proceed with technical requirements, come up with the design solution, think about the UX and UI, and finally, hire a technical team to help you with the practical implementation of your app or website.

Implementing Intelligent Video Analytics Solutions

Fri, 29 Jan 2021 16:08:29 +0300

The global video analytics market is growing rapidly due to the decreasing prices of high-resolution video cameras. Even small and medium-sized businesses can now purchase a standalone video surveillance system with at least basic video analytics features. Video analytics helps companies from different industries to solve a range of business problems: monitor the presence of goods on the shelves, track the movement of people, vehicles, or machinery, control the situation in the sales area, etc. Einfochips conducted excellent research that demonstrates all the benefits of intelligent videos.

Optimizing Retail Camera Usage with Video Analytics Software

Wed, 20 Jan 2021 15:09:43 +0300

written by: Olga Teslenko CMO

Most retailers seem to ignore the potential of the data from video cameras in the stores. As a marketer working in the IT sphere and a passionate shopper, I find it frustrating. I often lack a more personal approach and more attentive service.

Learning about the possibilities of Computer Vision for retail, marketers would be able to do incredible things relying on the data received from cameras. Gartner predicts that 30% of organizations will increase the implementation of AI after COVID, and it’s not a big surprise.

Utilizing AR/VR Technologies in the Utility Sector

Wed, 06 Jan 2021 10:09:26 +0300

New technologies are becoming increasingly applied in our daily reality. Today’s humans can no longer imagine their lives without computers, the Global Wide Web, smartphones, and numerous “smart” gadgets. Mobile apps, payment terminals, touchpads, and many other smart things have become an important part of everyday life.

Nevertheless, there are areas where advanced technology is difficult to go in, as specialists often prefer to work in an old-fashioned way. This includes, first and foremost, the energy and the utility sector. There are several reasons why these segments do not tend to implement advanced technologies. First, the players in these segments prefer to use traditional methods in their work. Secondly, the transition to new technologies requires professional employee training. Thirdly, the introduction of any technological innovations requires significant investments.

Integrating AI into Learning Management Systems (LMS)

Wed, 09 Dec 2020 15:20:51 +0300

written by: Sergiy Tikhonov Head of BA

AI plays a huge role in business development. Artificial intelligence is becoming more aware of what users think and do. It can analyze what kind of content users seek and provide relevant information. Moreover, AI is able to process data and provide tailor-made solutions that can enhance people’s productivity. In the e-learning industry, AI-powered LMS platforms advise users on what course to take to fill in the knowledge gap, providing needed content on the given topic.

An Overview of WebXR Capabilities and Standards

Wed, 02 Dec 2020 12:16:34 +0300

written by: Sergiy Tikhonov Head of XR

During recent years mobile apps have gained much traction, with almost every second business offering its customers or employees a company-owned user-friendly app. Such apps are downloaded and installed via an app store and have access to system resources like GPS or the camera function, living and running on the device itself. Until recent times it was the only possible option for using Extended Reality as web solutions were not able to support such technologies as Augmented and Virtual Reality.

AI Applications in FinTech: Credit Scoring, Fraud Detection, and Data Classification

Wed, 25 Nov 2020 11:11:17 +0300

written by: Sergiy Tikhonov Head of BA

Digital transformation is having a significant impact on the financial sector. Fintech applications allow the automation of complex processes and decision-making with the highest level of accuracy. AI applications in fintech include:

Smart credit scoring
Lending software
Robo-advisers
Natural language processing solutions for customer support and portfolio optimization
Fraud detection
AI in fintech data classification

According to Accenture’s research, by 2030, AI will add $1.153 billion in value to the financial industry and will allow it to achieve $1 trillion in cost savings.

Adopting AI in Retail: The Case Against Delay

Tue, 03 Nov 2020 17:06:41 +0300

Digital is not the cherry on the cake, it is the new cake.
Jean Paul Agon, Chairman of L’Oréal Group

Artificial Intelligence is already on the way to reshape retail business and the broader value chain. AI in Retail is the hottest trend in the retail business in 2020. According to Accenture, 86% of retailers have already been experimenting with AI to pave a new road to success. Moreover, the majority of surveyed companies concur that AI-powered applications will further transform financial and operational areas of retail business by providing companies with business insights, better-trained and trusted employees, as well as increased sales, empowered by real-time data and advanced analytics.

Software Platforms for Augmented Analytics

Wed, 07 Oct 2020 09:48:10 +0300

The recent decade has vividly demonstrated that we live in a data-driven world. IDC predicts that by 2025 the “global data sphere” will grow steadily row and reach 175 ZB. More informative decisions made with the help of analytics-focused applications based on the analysis of vast data have become essential to every second organization. However, as new technologies, such as the Internet of Things, continue to advance, the demand for enhanced analytical solutions continuously increases. One of the newest trends that are steadily coming to the fore is Augmented Analytics software, which is often referred to as the future of Business Intelligence.

Implementation of Augmented Reality in Retail Environments

Mon, 14 Sep 2020 16:22:56 +0300

As consumers become more sophisticated and competitors tend to be more inventive, Augmented Reality Retail solutions rise in popularity, penetrating various stores and transforming the shopping we are used to. In the future, your customers will no longer purchase goods by perusing a catalog but instead will select a product type—be it a dress, pair of socks, a vehicle, or a bedside table —and then virtually adjust it, achieving the perfect dimensions, color, and style of whatever they are looking for.

Building On-Demand Telemedicine Applications

Thu, 06 Aug 2020 09:23:38 +0300

written by: Sergiy Solomakha Head of Mobile Development

The outbreak of COVID-19 forced medical institutions to embrace Telemedicine App Development as an alternative way of providing healthcare services to limit coronavirus exposure. Telemedicine Apps with doctor-on-demand features have found great use among hospitals, physicians, patients, and the medical community.

Custom telemedicine apps have already become a must-have for medical organizations not only due to the pandemic crisis but also their useful doctor-on-demand functionalities that significantly increase access to healthcare services in areas with medical care shortages and enable clinicians to better and easier manage patients.

Management Consulting 4.0: Augmented Analytics and Emerging Trends

Fri, 03 Jul 2020 11:08:03 +0300

written by: Gennadiy Axion CEO

Introduction of 5G, augmented analytics, and the Internet of Things sensors fueled the new age of enlightenment based on data-driven insights. IoT devices themselves will generate 79.4 ZB of data by 2025, so businesses need to take this into account during strategic planning.

It’s obvious that most companies have finally realized that data is a strategic business asset, as valuable as the company’s intellectual property or human capital. And it can soon even be included in the balance sheet as well. Those companies that neglect data are limited in their possibilities to make the right business decisions today.

Business Intelligence Applications in Pharmaceutical Data Analysis

Fri, 29 May 2020 06:31:16 +0300

The pharmaceutical industry and life science are more and more focused on state-of-the-art technologies based on advanced pharma data analysis. We live in the post-data era – the time when huge amounts of data have been already produced, and the current task is to process them for a more accurate perception of the pharmaceutical market, as well as companies’ internal processes and ongoing clinical trials.

Utilizing advanced tools, such as BI services, Artificial Intelligence, or Augmented Analytics in pharma, is the key to success in this business that is basically based on data generation.

Utilizing XR Technologies for Remote Advisory Services

Wed, 27 May 2020 07:06:58 +0300

Imagine a technician expert for a nuclear power plant providing support, assistance, and remote help as efficiently as on location. With remote monitoring software, it becomes possible. Avinav Trigunait, Research Director Future of Work, AR/VR and Mobility, believes that “As organizations prepare for the future of work, the lines between digital and physical continue to blur and commercial spending is expected to further gain momentum over the next few quarters…”

AI for EHS: Comparing Risk Mitigation and Risk Management

Wed, 06 May 2020 08:58:13 +0300

Our daily routine is enriched with gadgets and AI-based applications. Instagram, Netflix, Facebook, and digital bank advisors all use AI or related technologies such as Machine Learning (ML) or Deep Learning (DL) to a greater or lesser degree. However, AI is not limited exclusively to the management of our daily routine but can also serve as a useful tool for various industries, complex businesses, as well as substantial departments. If you want to know more, read our previous article.

Key E-learning Trends and Modern LMS Architecture

Tue, 31 Mar 2020 12:52:08 +0300

Regardless of the business sector, all companies must train their employees regularly. This month your sales managers have to pass the new billing rules training, next month your engineers need to be recertified on the new equipment. Pharma employees have to pass FDA training to ensure a high level of compliance regularly. Thus, effective training is the reality of any modern business.

Knowledge Management System is an umbrella term that incorporates all sorts of e-learning software (educational web platforms, learning management systems, corporate/public web portals, document management systems, scheduling systems, etc) that make remote educational processes (e-learning) possible.

Design Systems as a Foundation for Digital Product Development

Mon, 30 Mar 2020 12:45:12 +0300

written by: Stan Zadvornyy Chief Design Officer

“Styles come and go. Good design is a language, not a style.”

–Massimo Vignelli, Italian Designer

The latest trend in the highly fast-paced design world is the Design System. Digital design has gained significant importance in the tech world in recent years. As the commercial world evolves rapidly and customer demands become more sophisticated, newly emerging applications cannot survive without a comprehensive design. Spotify, IBM, Google, SAP, and other tech giants already embrace this trend and have their design systems.

Five Advantages of VR for Emergency Response Training

Tue, 24 Mar 2020 12:17:59 +0300

How would you react in an emergency? Virtual reality simulation could show your realistic response and help provide efficient scenario-based training for employees. For example, it can simulate the perception of sight, smell, and temperature to check how you and your employees would behave in case of fire, flood, or emergency evacuation. Before discussing what VR training solutions can be used for emergency training, let’s find out what VR is.

Key Retail Industry Developments in 2023

Wed, 19 Feb 2020 10:18:33 +0300

The retail industry differs from other industries in that it has to react quickly to any changes in society, as industry clients are all over the planet. The number of small target audiences is huge, the types of deliveries and services in each country are different as well as development strategies of any aspect or process are adjusted to many changing factors. Other industries are developing more slowly, as most of them are more static, having no drastic changes that need to be promptly addressed. Getting back to the subject, it is necessary to distinguish between the terms “trend” and “temporary hype.”

The Role of Data Science in Shaping Future Healthcare Directions

Thu, 13 Feb 2020 13:47:14 +0300

Ginni Rometty, chairman, president and CEO of IBM

“In God we trust. All others must bring data.”

Serving people on such a large scale as is the case in today’s world, health institutes generate huge amounts of data. Clinical trials, electronic medical records, billing, wearable devices, CRM databases, and scientific articles provide so much valuable data every 10 seconds that it is impossible to process them efficiently without using advanced technologies and cutting-edge techniques. Data Science, a field of study that focuses on extracting meaningful insights from data, has found great use in today’s healthcare industry.

The Role of AI Technology in Smart Retail Environments

Tue, 28 Jan 2020 13:26:54 +0300

“AI will be integral to virtually every process that retailers employ to run their businesses. Smart Retail is moving from a plan-to-execution model to a sense-and-respond model. That would be impossible without the decision automation that AI enables.”
Brian Kilcourse, Managing Partner at RSR Research

The retail industry is experiencing tremendous growth across most industries. Despite positive business performances across the whole segment, it is difficult for many retailers to maintain their positions in the highly competitive market. Today, many medium and small players are rapidly changing their positions in the market, which, in many cases, leads to financial losses. Conversely, large enterprises are more stable in the market as they possess great capital to spend on highly qualified teams and cutting-edge technologies that enable large enterprises to stay ahead. Top-notch technologies such as Artificial Intelligence enables retailers to effectively run their business, providing their clients with better services and more personalized experiences.

Business Intelligence Evolution Through Augmented Analytics

Wed, 15 Jan 2020 13:11:54 +0300

written by: Sergiy Tikhonov Head of BA

A while ago, we lived in the Era of Data. Now, it’s more suitable to call our age the Era of Big Data. Over the last few years, the data volume exploded. Without noticing, we all produce an enormous data footprint. Websites, social media networks, electronic devices, and financial transaction platforms that we use daily all collect and store operational data. Data sets have become so massive, complex, and fast-growing that traditional Business Intelligence tools can no longer handle them. As a result, we are now seeing the rise of Augmented Analytics, the future of business intelligence tools.

The Strategic Importance of VR Training Across Business Sectors

Wed, 13 Nov 2019 13:00:35 +0300

When you are thinking about technological progress, it’s important to separate the know-how for domestic use from the innovations for business. It is much easier and simpler for an ordinary person to get used to a new phone or to deal with a robot vacuum cleaner than to implement new technology into production or business, doesn’t matter if it is large, medium, or small. But the effect from little home improvement can’t be compared to the effect of the digital transformation of the enterprise.

Extended Reality as the Future of Community Media

Wed, 18 Sep 2019 13:36:48 +0300

Media Revolution Is Here. The next media revolution is immersive technologies, otherwise known as Extended Reality.

The Accenture Technology Vision 2018 report shows that, worldwide, 52% of enterprises already develop their own XR strategies, and 79% believe that XR will reach a broad, cross-industry impact over the next three years.

The ability to deliver an experience that forms emotional connections and brings brands and consumers closer together is perhaps XR’s greatest marketing potential.

Industry-Shifting Trends in Augmented Reality Retail

Fri, 02 Aug 2019 11:44:13 +0300

Above all, XR is not a future state. It is happening now. And now is the time to put it to work.
IBM

The retail industry is one of the major segments that have fallen under the influence of the digital era. The biggest retail companies, such as Amazon, Walmart, and Alibaba, heavily invest in cutting-edge retail technologies to offer their customers more interactive and personalized services. Enhanced convenience, customization, and personalization are key points of smart retail.

Leveraging Gamification for Enhanced User Engagement

Thu, 25 Jul 2019 13:34:47 +0300

Over the last few years, the term “gamification” has been attracting a lot of interest in the business world. As a result, we see a lot of large companies rapidly introducing gamification technologies into many of their business processes, with this trend continuously going upward. According to Mordor Intelligence’s report, in 2018, the global gamification market was valued at USD 5.5 billion and is estimated to account for a CAGR of 30.31% over the period of 2019-2024.

The Foundation of Effective UX Design is Research

Tue, 02 Jul 2019 13:43:43 +0300

written by: Stanislav Zadvornyy Chief of Design

The development of any product, such as a mobile or web application, is a multi-step process that needs to be clearly structured. This process should begin with a solid understanding that people need this product and it will definitely benefit them. Being included in the list of top software development companies in 2020 by DesignRush, we feel that we can tell our readers a bit more about the essence of design processes.

Advancements in Automotive XR Applications

Thu, 27 Jun 2019 11:52:00 +0300

written by: Sergiy Tikhonov Head of BA Unit

Over the last few years, emerging technologies are accelerating the pace of disruption in many industries. As the world market becomes more dynamic, major brands such as Ford and Jaguar start looking for more digitalized and consumer-focused business models. As experts in developing XR apps for automotive companies, we’d like to share some of the most prominent cases of the industry.

Implementing Gamification Tactics in Marketing Strategies

Tue, 11 Jun 2019 07:44:56 +0300

Some methods of gamification were used in marketing even before the creation of the term “gamification.” The most vivid and successful example was McDonald’s Monopoly back in 1987. The client, when buying certain goods, received a ticket of some color. Each ticket was part of the game board. The purpose of the monopoly was to collect all the pieces of the same color and get rewarded. In 2010, McDonald’s admitted this promotion was a key driving force for sales, and in 2013, CBS News reported that the Monopoly marketing strategy had a positive impact on its annual profit.

Implementing Gamification Strategies in Retail Environments

Fri, 03 May 2019 06:41:27 +0300

written by: Olga Teslenko CMO

“Gamification is ultimately not about buzzwords and mechanics, but better and more meaningful experiences.”

– Esteban Contreras, Social Media Manager at Samsung USA

Games and gamification… For many, it can sound a little bit childish, but major enterprises do love gamification as much as users love games.

With the retention and engagement crises arise, the retail industry is looking for a remedy. Customer experience has become an important factor for success in retailing. Gamification appears to be a go-to tactic to enhance sales, brand awareness, and customer loyalty.

Evaluating the Impact of AI Innovations on Productivity

Mon, 01 Apr 2019 08:46:41 +0300

Today’s world is fast-evolving. As innovations are taking over the business world at full tilt, keeping pace with all emerging technologies is not an easy task. Due to recent developments in big data storage and cloud computing, artificial intelligence, commonly abbreviated as AI, is making great strides in enhancing its accuracy and efficiency. The introduction of such technologies as AI and machine learning (ML) in different industries is drastically on the rise, powering our businesses and daily lives.

The Business Value of Effective UI/UX Design in Outsourcing

Mon, 25 Mar 2019 10:14:26 +0300

written by: Stan Zadvornyy Chief Design Officer

Have you ever seen a 3-year-old boy intuitively opening an app on a tablet? They say that kids are really smart these days. They say that these are indigo kids. In reality, it’s the efforts of the team of experienced UI/UX experts who work closely with developers to make this app appealing & intuitive.

Good design means good business. But is it safe and cost-effective to outsource UI/UX design to an external team?

Future Potential of AI-Driven Marketing

Tue, 05 Mar 2019 13:50:31 +0300

“Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the web. It would understand exactly what you wanted, and it would give you the right thing. We’re nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.” — Larry Page, Google Founder.

We live in an age of Artificial Intelligence, a time when cutting-edge technologies reinvent the human experience. In the marketing field, the implementation rate of AI-embedded systems grows at a rapid pace, making business more personalized, efficient, and cost-effective.

Integrating Gamification into Professional Business Processes

Thu, 21 Feb 2019 11:05:22 +0300

Mykhailo Kochetov Game Designer

Games help us escape the reality. But is that all? Then why would the American Army, Dell, Alibaba, Financial Times, and SAP invest heavily in gamification?

The answer is obvious: gamification is a serious business, ladies and gentlemen. Big enterprises spending millions on gamification for business know there is something utterly real behind any game. Playing games, users don’t only collect coins and badges or find their names immortalized on leaderboards. No, they also make micro-payments, help companies expand their clientele, or provide businesses and institutions with priceless analytics. Just playing.

Operational Advantages of AR in the Energy and Utility Industry

Wed, 20 Feb 2019 11:11:11 +0300

«I am excited about Augmented Reality because unlike Virtual Reality, which closes the world out, AR allows individuals to be present in the world but hopefully allows an improvement on what’s happening presently.»
Tim Cook, Apple CEO

Today utility and energy sector is facing a massive wave of powerful disruption due to the advance of progressive IT technologies. The increasing demand for electricity in rapidly developing countries and growing cost pressure make this industry reconsider the traditional business models it uses. Augmented and virtual realities are on the way to innovate and reshape this sector. According to ABI Research, by 2022, total AR global market revenues for the energy and utility sector will reach US$18 billion. What will this money will be spent on? I am going to give the answer to this question later. First things first.

Ten Justifications for Developing Process Unit Tests

Wed, 26 Dec 2018 08:53:51 +0300

The fast-changing business processes of modern IT companies create only the illusion of manageability. Often an oral agreement during a production meeting or a well-documented process is “lost” because of the inability to monitor their follow-up. Is there a way to control and also improve the rules of the game both efficiently & non-resourcefully? Today’s topic is Unit Tests (PUTs).

Process unit testing is an automated auditing of compliance of business processes with business policies and business rules of the entire enterprise or specific organization unit. Hereafter is why companies should write PUTs:

Motivations Behind Software Vendors Adopting Gamification

Thu, 20 Dec 2018 11:38:44 +0300

Gamification is a kind of buzzword today.

The recent decade has seen a rapid boom in applying gamification concepts in different markets as companies and organizations implement them with open arms. It’s reasonable: gamification is the ultimate tool for increasing engagement and efficiency for any business. More than that, gamification is an essential element of any company’s digital transformation. That’s why we’ve decided to explore its possibilities on a deep level.

The Transformation of the IT Sector Through Artificial Intelligence

Wed, 19 Dec 2018 11:37:15 +0300

I could feel – I could smell – a new kind of intelligence across the table.
Gary Kasparov

AI in IT is a concept that determines the future and everything that it holds. AI has not only transformed traditional computing methods but has also been penetrating into many industries, significantly transforming them. As the world becomes more digitized and all industries become much smarter, IT companies must keep pace with exploding process complexity and accelerating innovations.

Seven Benefits of Implementing Data Management Software for EHS

Tue, 18 Dec 2018 11:31:15 +0300

We have found some sad statistics about Data Management Software in EHS:

53% of companies conduct manual processes to get all the data in one view;
52% of companies spend too much time updating spreadsheets;
53% of companies have too much data left unanalyzed.

Obviously, the only possible way to make these big figures smaller is to apply relevant EHS data management software. Just choose database-driven enterprise software application, that can cover data of all kinds. It will definitely raise your EHS compliance.

Achieving Tangible Outcomes in Occupational Health Initiatives

Mon, 17 Dec 2018 11:25:23 +0300

Nina Sharayevskaya Head of EHS Business [email protected]

“How business can get measurable results from Occupational Health Projects”

Often, business launches resource-intensive occupational healthcare projects to comply with regulatory and policy requirements. It’s far easier and cheaper to have such a system implemented in order to reduce workers’ compensation claims.

But how about to begin putting such systems really to good use? You can make a substantial benefit for your business and don’t have a missed profit.

Why Our Development Team Utilizes Vue.js for Product Creation

Thu, 13 Dec 2018 10:27:49 +0300

Vue.js is a new software development tool for building user interfaces. The framework allows the creation of far more attractive, faster & user-friendly interfaces.

Our team has used this technology to develop our most innovative and modern solutions: an IoT platform, a low-code development platform, and an automated unlocking system.

Why are we so addicted to this framework?

Here is our “BECAUSE”:

1. The Best UI

Via the application of Vue.js framework, you are able to implement the latest approaches in creating the most user-friendly user interface. We have used it to develop UI design for our low-code development platform. Usually, such solutions have an old-school design. But, we have managed to create a very attractive & easy-to-use design. Although in this case, this solution has been created to be used by people with high technical skills.

Beyond Bitcoin: How Blockchain Technology Impacts Finance

Tue, 14 Mar 2017 14:15:50 +0300

As we stated in our recent Blog Post, Blockchain is one of the most hyped, hotly debated, controversial, and yet promising technologies since the inception of the Internet. Though mostly associated with Bitcoin or alternative cryptocurrencies, it is not a one-trick pony. Indeed, this game-changing technology has the potential to disrupt multiple industries and trigger their evolution. Therefore, the development team is considering all possible opportunities to apply Blockchain in its software development practices. Today’s topic is the application of Blockchain in the financial sector.

The Value of Low-Code Platforms in Corporate Software Engineering

Tue, 20 Dec 2016 13:46:42 +0300

Fancy you are an enterprise, have a brilliant idea that can make the world reel, or just do your business and seek ways to increase your performance. In today’s highly digitized and rapidly evolving world, you most likely can’t do without specialized software to bring ideas and tasks to life. Moreover, you will need it immediately and at the lowest possible cost. In this case, you have two ways to get your application developed: either employ a software development company or fulfil the task on your own by leveraging a low-code development platform with all the necessary embedded features.