There once was a project manager that pitted departments against each other. The Business Analysts were rated on their requirements defects. The testers were rated based on could not reproduce defects ...

I am writing a series on Emerging Trends in Data Governance. I will be breaking down multiple aspects of these trends and diving deeper into each of the major subject areas I’ve covered in my first ...

In the age of digital transformation, data is an organization’s most valuable asset. However, with the sheer volume, variety, and velocity of data generated, managing it effectively requires a robust ...

Artificial Intelligence (AI) is revolutionizing industries across the globe, enhancing productivity, efficiency, and innovation. However, with these advancements comes a growing concern: job ...

We’re living in an era where AI and specifically Gen AI adoption is becoming a strategic necessity. Whether it’s automating processes, enhancing decision-making, or predicting market trends, these ...

The recent announcement of Google [link] has gained a lot of attention [1]. Google Quantum AI announced their new quantum chip Willow, which demonstrates notable improvements in reliability and speed.

We believe in adding business value by beautiful delivery. That’s why we choose to deliver a Minimum Lovable Product (MLP) instead of a Minimum Viable Product (MVP) in our innovation projects. It ...

Continuing my blog series on the Ethical Implications of AI, this is part 4 of a much larger series on Ethical, Governance, Data Governance, and Societal concerns related to AI. There will be about 15 ...

Stress is often described as a feeling, but in reality, it’s a powerful biological response that can reshape your brain. While short bursts of stress can sharpen focus and boost performance, chronic ...

Data is often referred to as the new oil, a critical asset that fuels the development of cutting-edge technologies, especially Artificial Intelligence (AI). At the heart of this is the concept of data ...

eXplainable artificial intelligence (XAI) aims to provide a reasonable explanation of the decisions taken by black-box AI models. This ensures the transparency of the employed models by transforming ...

What are we trying to achieve? Which data still matters? Where do the risks lie, and how should they be governed? Should we build, buy, or both, and what kind of responsibility comes with keeping Gen ...