Technology Transformation Insights
Customisation of AI
Customisation of AI By Marcin Burakowski | February 18, 2025 AI assistants have come a long way from their origins as simple, rule-based chatbots. What once relied on predefined scripts and decision trees has evolved into intelligent, AI-driven virtual agents capable of understanding context, generating responses and performing increasingly complex tasks. Advances in generative AI, retrieval-augmented generation (RAG) and local AI models are ...
The current state of AI bubble
The current state of AI bubble By Marcin Burakowski | October 28, 2024 AI has generated significant hype in recent years, but many of the initial promises remain unfulfilled. Self-driving cars, once expected to be common by now, have yet to dominate the roads, and humans still remain in their office roles despite predictions of AI taking over. Tools like ChatGPT have created ...
The Role of Generative AI in Managerial Decision-Making
The Role of Generative AI in Managerial Decision-Making By Jan Burakowski | April 20, 2024 Introduction: The Role of Generative AI in Decision-Making As artificial intelligence continues to reshape the corporate landscape, the role of AI in managerial decision-making has become a central topic for executives and leaders. While some wonder if autonomous systems will eventually take over leadership processes, current reality suggests ...
Data Readiness: The Hidden AIOps Challenge
Data Readiness: The Hidden AIOps Challenge By Marzena Burakowska | September 9, 2024 AIOps data readiness is essential for building reliable AI-driven IT operations. The quality, relevance and completeness of the data used by AIOps systems directly influence their ability to generate accurate insights, identify patterns and support better decision-making. Yet organizations often face two major challenges: unclear data requirements ...
AIOps Data Quality
AIOps Data Quality By Marzena Burakowska | June 23, 2024 In the fast-paced world of AIOps (Artificial Intelligence for IT Operations), the significance of data quality cannot be overstated. As businesses increasingly rely on AI to automate and improve their IT operations, the accuracy and dependability of the underlying data become crucial. From a data science perspective, there are several critical issues related ...
AIOps Implementation – Continuous Learning Required
AIOps Implementation: Continuous Learning Required By Marzena Burakowska | March 27, 2024 As organizations embark on their journey to integrate Artificial Intelligence for IT Operations (AIOps) into their IT infrastructure, the role of continuous development and learning emerges as a cornerstone for success. AIOps, with its promise to automate and enhance IT operations, requires a dynamic approach to implementation and management. In the ...
AIOps implementation is a marathon, not a sprint
AIOps implementation is a marathon, not a sprint By Marzena Burakowska | March 27, 2024 Introduction: The Promise and Reality of AIOps Implementation Developing a sustainable AIOps implementation strategy is a long-term journey that requires moving beyond the 'quick fix' mindset to achieve true operational excellence. At first glance, the idea of implementing AIOps seems like a perfect solution. However, ...
How to Measure Digital Transformation Success (1)
How to Measure Digital Transformation Success (1) By Marcin Burakowski | November 20, 2024 Measuring digital transformation success metrics remains one of the greatest hurdles for modern leadership. While 81% of organizations cite productivity as their primary ROI indicator, nearly three-quarters struggle to define the precise data points that actually move the needle. To move beyond vague KPIs, forward-thinking companies are adopting structured ...
How to ensure effective use of AIOps solutions
How to ensure effective use of AIOps solutions By Marzena Burakowska | November 13, 2024 Implementing AIOps can bring tremendous benefits, but the real value comes from ensuring it’s used effectively after deployment. Too often, organizations focus on the technical rollout without fully preparing their teams to embrace and optimize the tool, which is where the real success lies. Here are some practical ...
The crucial role of observability in IT infrastructure
The crucial role of observability in IT infrastructure By Marcin Burakowski | February 18, 2025 As using data to enhance processes within the organization rapidly becomes an industry standard, certain concepts play a crucial role in creating a strategy or software solutions for those tasks. One such concept that often gets thrown around in executive meetings as a buzzword is ...
The current state of AI bubble
The current state of AI bubble By Marcin Burakowski | October 28, 2024 AI has generated significant hype in recent years, but many of the initial promises remain unfulfilled. Self-driving cars, once expected to be common by now, have yet to dominate the roads, and humans still remain in their office roles despite predictions of AI taking over. Tools like ChatGPT have created ...
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 ...
Customisation of AI
Customisation of AI By Marcin Burakowski | February 18, 2025 AI assistants have come a long way from their origins as simple, rule-based chatbots. What once relied on predefined scripts and decision trees has evolved into intelligent, AI-driven virtual agents capable of understanding context, generating responses and performing increasingly complex tasks. Advances in generative AI, retrieval-augmented generation (RAG) and local AI models are ...
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 ...
Managing Risk in Program Management
Customisation of AI By Marcin Burakowski | January 26, 2025 Today, I want to discuss one of the most critical aspects of Technology Program Management: risk management. Risk management is essential for safeguarding the planned value of technology-intensive endeavors, particularly programs that involve multiple technologies simultaneously. Program risks extend across several projects and have organization-wide implications, unlike project risks, which are confined only ...