AI Archives - Tiger Analytics

AI Topic: AI

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.

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.

AI, AI, Cap’n: How Advanced Analytics And ML Are Steering Maritime Ops Towards Calmer Seas

With nearly 90% of global trade moving by sea, the maritime industry is embracing data to optimize processes. IoT-powered anomaly detection is helping teams reduce energy waste, while deep learning and computer vision are driving faster, more accurate inspections. In this edition of AI of the Tiger, we explore how scalable analytics foundations, predictive maintenance, and resilient data ecosystems are reshaping maritime systems.

Unlocking Your Powerplay: What Lessons Can Data Engineers Learn from the Chase Masters?

What do cricketers and technologists have in common? Both must adapt to dynamic environments where success is driven by strategy, precision, and continuous improvement. Just like cricket’s chase masters read the game and adjust their play, data engineers must navigate complex, high-stakes projects, leveraging the right tools and methodologies to deliver value. In our latest edition of AI of the Tiger, we explore how data engineers can channel the mindset of chase experts, using a special S.C.O.R.E. framework to evolve into all-rounders.