AI Topic: Data Governance
SQL, SQL rock you: Celebrating 14 Years of Building Tiger Analytics One Brick at a Time
How do you build something that lasts in a field where the ground shifts daily? We take a cue from Japanese artist Ishihana-Chitoku. Each stone is carefully chosen and precisely stacked, a work of creativity, balance, and intent. The same approach helps us stand tall today, at the ripe age of 14, stacking the right people, ideas, and technologies to build something enduring. Kicking off our anniversary celebrations is a special edition of AI of the Tiger that decodes our very own ‘ishihana’ – STAQD, a framework for building with intent.
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Code and Couture: How Fashion and Beauty are Using AI to Stay Ahead of the Curve
Amid the celebrities and fashion icons on the Met Gala red carpet this year, a dog in a sleek tux was turning heads. Vector, a robotic dog developed by MIT and accompanying techpreneur Mona Patel, signaled what’s truly in vogue – AI. Beauty and fashion brands are tapping into AI, ML, and connected data to tailor experiences, inform product development, and streamline production. In this edition of AI of the Tiger, we take a closer look at the tech behind the trends: customer affinity embeddings, modern data ecosystems and Responsible AI.
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Lights Will Guide You Home, But Who Holds The Key? The Astronaut and The Scientist On Building Trust in Data Privacy
British rock band Coldplay had their biggest concert ever in India with technology working its magic behind the scenes, processing thousands of ticket transactions and managing an enormous amount of data. The rise of AI and digital systems has brought data privacy and trust to the forefront of every interaction. From event ticket sales to the data-driven tools that power daily operations, how can organizations safeguard consumer trust while innovating responsibly? We explore the key principles for building trust through AI – Privacy by Design, Transparency and Explainability, User Empowerment, and Accountability.
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