Over the years, I’ve noticed that ‘tech community’ frequently debates about their choice between JIRA Confluence and Azure DevOps – Kanban for project management. Cost has always been a focal point & a deciding factor. While I have extensive experience with Azure DevOps – Kanban, these ongoing discussions prompted me to take a deeper dive […]
Azure DevOps vs. Jira: Which Agile Tool Fits Your Workflow? Read More »
There is a growing concern within the IT community about reliability of AI. Some schools of thought question the accuracy and trustworthiness of AI-generated results, particularly due to quality and biases of datasets used to train these models. I dedicated some time to research methods to counter these concerns and explored ways to verify data
How To Train Reliable Dataset for an AI Model Read More »
There has been an extensive discussion about AI and human interaction in Agile Methodology. In reality, AI and human decision-making are not opposing forces, they are complementary allies. AI enhances efficiency, predictability, and risk management, while human intuition, creativity, and emotional intelligence remain crucial for Agile success. By finding a right balance, organizations can leverage
AI with Human Decision Making – Strikes a Right Balance in Agile Methodology Read More »
An NCAA Tournament largely devoid of drama came down to a thrilling final possession on Monday night. Florida captured its third national championship with a 65-63 victory, rallying from a 12-point second-half deficit and sealing the win with one last defensive stand. Houston had one final chance with 19 seconds remaining but failed to get
Men’s Basketball – Florida Gators win NCAA Championship over Houston Cougars Read More »
With a rise in Artificial Intelligence (AI) and its transformative impact among various industries, driving automation, insights, and efficiencies once thought to be impossible; ethical considerations and bias mitigation have become even more critical. Ensuring that AI systems are transparent, fair, & accountable, which is essential to foster a culture of trust. By prioritizing these
AI Ethics & Bias Mitigation: Building Responsible AI Systems Read More »
AI – Privacy & Security Challenges – As AI continues to reshape industries, addressing security and privacy challenges has become even more crucial in building trust and reliability. Everyone knows that (AI) is also optimizing processes and enhancing decision-making. However, as AI adoption grows, security and privacy concerns become more critical. Orgs must adopt proactive
Artificial Intelligence (AI) – Privacy & Security Challenges Read More »
I have been a TPM for a long time. Like anyone in this (IT) field, I have also witnessed this rapid evolution of technology firsthand, along with emergence of numerous tools and techniques. With AI becoming an integral part of our lives, it is naturally reshaping Project Management strategies also, in particular Agile Methodology. Agile
How AI is Transforming Agile Project Management Read More »
Infrastructure Metrics – 1) CPU & Memory Usage – AI forecasts resource consumption trends to prevent bottlenecks. 2) Disk I/O & Network Latency – Helps in predicting infrastructure failures. 3) Container & Kubernetes Health – Ensures optimal cluster performance. Application Performance Metrics – 1) Latency – AI can predict potential slowdowns and suggest optimizations. 2)
How AI Enhances DevOps Metrics for Predictive Analytics Read More »
Recently, a friend of mine shared an experience during a job search & interview process that many of us might not recognize as a “trap interview.” He asked me to share some thoughts on this, and here’s my perspective: A “trap interview” occurs when an organization conducts an interview without a genuine intent to consider
How to Recognize That a Job Interview May be a “Trap Interview” Read More »
A few days ago, I had a discussion with some of my professional friends about today’s fiercely competitive & a very slow IT job market, where surviving, let alone thriving, requires more than just technical skills. With mass layoffs, rapid technological shifts, and increased reliance on AI, professionals must rethink their approach to career stability.
Surviving a Tough Job Market as an IT consultant Read More »
