The unglamorous work that makes AI possible
AI fails when the data underneath it fails. Fragmented systems, no common identifiers, no clear ownership, and no accountability when things break are enough to undermine even the …
Evolving Landscape of Data Science Leadership Education
Here, I share insights from my journey teaching Data Science and Ethics of AI at the Asian Institute of Management, where I explore the dynamic interplay between evolving industry …
Aligning AI with Business Realities
In this thought piece, I explore insights from recent meetings with a range of organizations focused on AI R&D project scoping. Through conversations with private sector companies, …