Technology Transformation Insights

Risks and Challenges of Agentic AI

Risks and Challenges of Agentic AI By Marcin Burakowski | October 10, 2025 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 ...
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Is ChatGPT Still Your Best Advisor?

Is ChatGPT Still Your Best Advisor? By Marcin Burakowski |June 16, 2025 Generative AI adoption is no longer synonymous with "plugging ChatGPT into a workflow." 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 ...
Faster Work, Lower Motivation: The Other Side of Gen AI

Faster Work, Lower Motivation: The Other Side of Gen AI

Faster Work, Lower Motivation: The Other Side of Gen AI By Marcin Burakowski | June 25, 2025 Harvard Business Review recently published research that should give every digital transformation leader reason to reflect. In four experiments involving over 3,500 professionals, the authors measured the effects of using generative AI (Gen AI) on everyday knowledge work tasks such as drafting performance ...
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MCP: The AI Standard Businesses Can’t Ignore

MCP: The AI Standard Businesses Can’t Ignore By Marcin Burakowski | May 12, 2025 In the rush to embed AI across every corner of the enterprise, one challenge keeps slowing teams down: integration. No matter how powerful the model is, it can’t deliver value without access to the right data, tools, and business context. Until now, making that connection has ...
Unlocking Proactive IT with ITSM AIOps

Unlocking Proactive IT with ITSM AIOps

Unlocking Proactive IT with ITSM AIOps By Marzena Burakowska | July 22, 2025 The growing complexity of modern IT infrastructures, shaped by cloud adoption, microservices, and the Internet of Things, has made traditional manual IT operations inefficient, slow, and expensive. Organizations are increasingly turning to Artificial Intelligence for IT Operations, commonly referred to as AIOps, to overcome these challenges. By ...
AIOps in IT Operations - Balancing Promise and Reality

AIOps in IT Operations – Balancing Promise and Reality

AIOps in IT Operations - Balancing Promise and Reality By Marzena Burakowska | May 22, 2025 AIOps is often seen as a breakthrough for managing complex IT 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 organisational readiness. In ...
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Proactive Problem Management in IT Operations

Proactive Problem Management in IT Operations By Marzena Burakowska | February 26, 2025 In the world of IT operations, even experienced operational teams recognize that proactive problem management is critical to avoiding major system failures. However, most engineers remain focused on fixing immediate issues, leaving little room for proactive measures. This is mainly because IT operations are contractually obligated to engage in reactive ...
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How to measure success in AIOps implementation

How to measure success in AIOps implementation By Marzena Burakowska | January 27, 2025 Implementing Artificial Intelligence for IT Operations (AIOps) can potentially transform IT efficiency and service reliability. However, its success must be carefully measured to avoid pitfalls and ensure real value. This article explores the risks involved and offers clear methods to measure success effectively. Risks in AIOps Implementation AIOps poses ...
RAG in Action: Use Cases Across IT, HR, and Risk Management

RAG in Action: Use Cases Across IT, HR, and Risk Management

RAG in Action: Use Cases Across IT, HR, and Risk Management By Marcin Burakowski | April 28, 2025 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) ...
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Agentic AI in IT

Automation as Anesthesia By Marzena Burakowska | April 10, 2025 There’s a new term getting serious attention in IT and digital transformation circles: Agentic AI. It sounds futuristic—and maybe even a little buzzwordy—but it’s gaining traction fast. So, what is it, really? Is it the next wave of automation, or just another overhyped promise? Let’s take a closer look at what agentic AI ...
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Why the Hybrid Approach Makes Agile Obsolete

Why the Hybrid Approach Makes Agile Obsolete By Marcin Burakowski | March 18, 2025 Not long ago, Agile was the gold standard in IT project management. It broke projects into sprints, embraced change, and promised faster delivery. But as digital transformation accelerates, many teams realize that Agile isn't a one-size-fits-all solution. The answer here is the hybrid approach, which blends Agile with traditional ...
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How to measure success in AIOps implementation

How to measure success in AIOps implementation By Marzena Burakowska | January 27, 2025 Implementing Artificial Intelligence for IT Operations (AIOps) can potentially transform IT efficiency and service reliability. However, its success must be carefully measured to avoid pitfalls and ensure real value. This article explores the risks involved and offers clear methods to measure success effectively. Risks in AIOps Implementation AIOps poses ...
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MCP: The AI Standard Businesses Can’t Ignore

MCP: The AI Standard Businesses Can’t Ignore By Marcin Burakowski | May 12, 2025 In the rush to embed AI across every corner of the enterprise, one challenge keeps slowing teams down: integration. No matter how powerful the model is, it can’t deliver value without access to the right data, tools, and business context. Until now, making that connection has ...
Ideas

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 ...
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AI Assistants Are Finally Growing Up

AI Assistants Are Finally Growing Up By Marcin Burakowski | April 16, 2025 Over the past year, generative AI has made significant progress, evolving from passive chatbots to proactive workplace assistants. With advancements in multimodal understanding, open-source large models, autonomous agents, and efficient training methods, AI is now much better equipped to assist with real business tasks as real-time advisors ...