Recently, I wrote about business impact of downplaying QA (Testing), highlighting many risks of neglecting comprehensive quality assurance (QA) efforts. I also promised to follow up with an article on how to reduce development time and effort by adopting an AI-powered QA testing strategy. To be clear, my intent wasn’t to simply point out a […]
How AI is Transforming QA Testing & Reducing Effort Read More »
“LeSS” (Large Scale Scrum) “SAFe” (Scaled Agile Framework) Introduction In a discussion with my colleagues about SAFe & LeSS, some of them asked if I could write a concise, easy-to-digest version on “How AI can optimize SAFe and LeSS implementations”. It took me some time to dive into the topic, but after researching, I’ve gathered
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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
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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 »
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
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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
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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
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Recently, I wrote an article on “AI & DevOps Predictive Analytics”, and in process, I realized that many people may have mistakenly equate ‘DevOps’ with Azure DevOps. Let me clarify that they are not the same. DevOps is a set of practices and cultural philosophies aimed at fostering collaboration between development and operations teams, whereas
Artificial Intelligence (AI) Enhancing Azure DevOps Read More »
After a fruitful discussion with my fellow PMs, I feel that writing an article on Enhancing Agile Retrospectives with AI will be a worthwhile endeavor because it highlights how AI can transform retrospectives from subjective discussions into data-driven and actionable improvement sessions. Traditional retrospectives often suffer from bias, repetition, and lack of follow-through, or difficulty
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Artificial Intelligence (AI) is taking over every aspect of our lives, and our gaming industry is no exception. From smarter NPCs to adaptive gameplay, AI is transforming the way we play and experience games. 
With my background in deploying couple of Xbox games at Microsoft and my deep-rooted curiosity, I decided to explore just
Gaming – Dynamic ‘NPC’ Behavior With Generative AI Read More »
