AI & Emerging Technologies

How Explainable AI (XAI) Enhances Transparency in AI Decision-Making – Part 1

Inspired by current, rapid advancements in AI, I’ve planned a series of articles covering different emerging technologies, and this one on Explainable AI (XAI) being the first of many to come. As artificial intelligence (AI) becomes increasingly embedded in business, healthcare, finance, and everyday decision-making, so is lack of transparency in AI models which has […]

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The Rise of AI-Generated Impostors: Email, LinkedIn, and Beyond

Readers, beware of an alarming new trend: scammers are using AI to create highly convincing “fake identities.” These impersonators might pose as a “CEO” or “recruiter,” often using phrases like “Act now,” “This is confidential,” or “Your account will be closed.” – Artificial Intelligence (AI) is transforming industries, however, it’s also arming cybercriminals with powerful

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How AI is Transforming QA Testing & Reducing Effort

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

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How AI Can Optimize SAFe & LeSS Implementations

“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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How To Train Reliable Dataset for an AI Model

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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AI with Human Decision Making – Strikes a Right Balance in Agile Methodology

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

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AI Ethics & Bias Mitigation: Building Responsible AI Systems

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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Artificial Intelligence (AI) – Privacy & Security Challenges

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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How AI is Transforming Agile Project Management

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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Artificial Intelligence (AI) Enhancing Azure DevOps

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

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