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Technology Transformation Insights
Agentic AI in 2026: The Landscape Has Shifted
Agentic AI in 2026: The Landscape Has Shifted By Marzena Burakowska | March 16, 2026 A little over a year ago, the concept of Agentic AI was largely confined to a theoretical vision of the near future. The technology industry was captivated by the idea of conceptualizing autonomous "synthetic workers", intelligent systems capable of planning, reasoning, and executing complex, multi-step ...
Data Quality in AI Projects
From Chaos to Clarity: Tackling Data Challenges in AI Projects Why do so many AI projects stall before they scale? The answer often lies not in the algorithms, but in the data. Hidden inconsistencies, unclear relevance, and fragmented ownership quietly erode progress. Whether you're modernizing legacy systems or launching new ones, understanding and addressing data challenges is the first step ...
Risks and Challenges of Agentic AI
Understanding agentic AI risks is becoming critical as the accelerating pace of artificial intelligence development transforms the business world. The accelerating pace of artificial intelligence development is transforming the business world in unprecedented ways. As highlighted in Reid Blackman's insightful Harvard Business Review article, "Organizations Aren't Ready for the Risks of Agentic AI," organizations are moving from narrow AI systems ...
Agentic AI in IT: Buzzword or Breakthrough? Agentic AI
Agentic AI in IT: Buzzword or Breakthrough? Agentic AI By Jan Burakowski | April 20, 2025 The tech world is buzzing about agentic AI in IT – AI “agents” that can act with greater autonomy than traditional software bots. But is this just another hype term or a genuine game-changer for IT operations and digital transformation? In this article, we’ll break down what ...
AIOps in IT Operations – Balancing Promise and Reality
AIOps in IT Operations - Balancing Promise and Reality By Jan Burakowski | February 04, 2026 Implementing AIOps in IT operations is often seen as a breakthrough for managing complex systems, promising faster issue detection, reduced alert noise, and predictive insights. While the potential is compelling, AIOps is not a one-size-fits-all solution. Its success hinges on factors like data quality, system complexity, and ...
Implementing AIOps Is Not a One-Time Activity
Implementing AIOps Is Not a One-Time Activity By Marzena Burakowska | November 27, 2025 Implementing AIOps is often sold as a big milestone: select a platform, integrate tools, tune rules, run pilots, and declare success. In reality, it is not something you “set and forget.” It must evolve with your IT landscape, data, and business. Treating it as a one-time ...
Successfully completed AIOps Implementation
Successfully completed AIOps Implementation By Marzena Burakowska | March 15, 2025 At the end of June, our team successfully completed a major AIOps implementation and took it to production. On the original roadmap, this was a six-month initiative. In reality, it took almost two years. That difference between plan and outcome was not about enthusiasm or intent. It reflected the ...
How AIOps Capabilities Can Improve ITSM
IT Service Management (ITSM) is the central framework organizations use to deliver, manage, and support IT services. It defines the processes, policies, and responsibilities that keep IT services aligned with business needs. In its traditional form, ITSM provides a structured, process-driven approach to service delivery. It is the foundation for ensuring availability, performance, and reliability of IT systems across industries.However, ...
Successful Technology Transformation in a Federated IT Organization
Why Time-Bound Enterprise Change Requires More Than Agile Delivery Large enterprises frequently operate in a federated IT model. Technology capabilities are distributed across portfolios and value streams that align closely with specific business domains. This structure ensures proximity to business stakeholders and enables fast, context-aware decision-making. In many organizations, frameworks such as SAFe (Scaled Agile Framework) support this setup by ...
Running IT as a Service-Oriented Business
Introduction Adopting a service-oriented IT operating model plays a crucial role in delivering business value to stakeholders.The IT operating model plays a crucial role in delivering business value to stakeholders. By organizing IT around composable capabilities and services that the entire organization can utilize, IT can advance to a new level. This shift transforms IT from a technology-driven, siloed function—typically ...
Service-Oriented IT Unlocking Business Value
Service-Oriented IT Delivery: The Foundation of a Business Technology Company The transition from traditional IT silos to Service-Oriented IT Delivery models is revolutionizing how enterprises deliver technology and enable business capabilities. This approach aligns IT support with business outcomes, fostering agility and scalability in today’s fast-paced digital economy. It encourages ongoing rethinking of IT operating models for modern enterprises. Various ...
RAG in Action: Use Cases Across IT, HR, and Risk Management
Retrieval-augmented generation (RAG) is already reshaping internal operations across enterprises. By combining the conversational power of large language models with live access to internal data, RAG-enabled AI assistants offer organizations a new way to deliver fast, accurate, and context-specific support.Retrieval-augmented generation (RAG) is already reshaping internal operations across enterprises. Exploring practical RAG use cases shows how combining the conversational power ...
Is ChatGPT Still Your Best Advisor
Generative AI adoption is no longer synonymous with just plugging OpenAI into a workflow; today, evaluating ChatGPT alternatives for enterprise is crucial. Over the past 18 months, a crowded field of alternative large-language models (LLMs) has redrawn the enterprise's cost, capability, and compliance map. Below are five market shifts every decision-maker should understand before green-light (or re-negotiating) their next AI ...
Model Context Protocol (MCP): Anthropic’s New AI Standard and Why It Matters for Your Business
Model Context Protocol (MCP): Anthropic’s New AI Standard and Why It Matters for Your Business By Jan Burakowski | May 12, 2025 Background: What is MCP and Who’s Behind It? In late 2024, AI safety startup Anthropic introduced the Model Context Protocol (MCP) – an open standard designed to connect AI assistants to the systems where enterprise data and tools live. Sometimes informally ...
Agentic AI in IT: Buzzword or Breakthrough? Agentic AI
Agentic AI in IT: Buzzword or Breakthrough? Agentic AI By Jan Burakowski | April 20, 2025 The tech world is buzzing about agentic AI in IT – AI “agents” that can act with greater autonomy than traditional software bots. But is this just another hype term or a genuine game-changer for IT operations and digital transformation? In this article, we’ll break down what ...
Retrieval-Augmented Generation (RAG): The Key to Customizable AI Agents in IT and Beyond
Retrieval-Augmented Generation (RAG): The Key to Customizable AI Agents in IT and Beyond By Jan Burakowski | March 20, 2025 In today’s fast-paced digital landscape, business leaders are exploring generative AI to boost productivity, improve customer experiences, and streamline decision-making. However, a common challenge emerges: How do we ensure an AI system knows our business – our latest data, policies, and context – ...
