Artificial intelligence has made spectacular progress, thanks to increasingly complex and powerful models driving innovations across industries. However, as models grow larger, they require more ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...

In the dynamic world of enterprise architecture, understanding and managing the capabilities and strategic initiatives of an organization are crucial for achieving long-term success. Practices such as ...

The Architecture Review Board (ARB) is a standard practice in many organizations, acting as a group of senior architects and stakeholders who regularly review proposed changes to the IT landscape.

It’s that time of the year again when talented automation professionals come to Helsinki, Finland, to share and to learn about the latest updates on Robot Framework and its ecosystem. The reason for ...

The Kumbh Mela is renowned as the largest and one of the most significant gatherings in the world. Every 12 years, millions of pilgrims gather at sacred rivers in India to celebrate this spiritual ...

As Google’s Project Mariner pushes the boundaries of what’s possible with AI agents — apps that can autonomously execute complex tasks—we must consider the broader implications for enterprise ...

Artificial Intelligence (AI) has transformed various industries, with healthcare being one of the most significant beneficiaries. From improving diagnostics to personalizing treatment plans, AI’s ...

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 ...

Continuing my 3-week series on the Governance Frameworks for AI, this is part 6 of a much larger series on Ethical, Governance, Data Governance, and Societal concerns related to AI. There will be ...

Training AI models like GANs (Generative Adversarial Networks), LLMs (Large Language Models) and SLMs (Small Language Models) requires large amounts of high-quality data. However, acquiring sufficient ...

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 ...