AI is only as good as the data behind it. At Tiger Analytics, we engineer data foundations that deliver reliable AI outcomes – providing certainty for a better tomorrow.
We’re building on what we’ve already delivered. This year, we go further.
Meet us at the Data Engineering Summit 2026 to connect with leading minds in Data and AI and explore how enterprises are turning data into impact – from fixing foundations to modernizing for enterprise-wide outcomes.
Catch our keynote and tech talk on what it takes to deliver AI outcomes in the real world.
The AI Readiness Gap: How Enterprises Can Fix the Data Foundation
Enterprises are accelerating AI adoption, but most are still building on data foundations that weren’t designed for it. The result is familiar hallucinations, inconsistency, and unreliable outcomes. The challenge isn’t the model, but the gap between traditional data platforms and what AI systems actually need.
In this keynote, we define the AI Readiness Gap, explore where enterprises are falling short, and introduce the Knowledge Layer, a critical bridge between data and AI reasoning that enables more reliable, scalable results.
About the Speaker
Muthu Govindarajan is a seasoned technology leader with 25+ years of experience across Data Engineering, AI/ML, and Cloud, with a strong track record of driving enterprise-scale transformation and innovation.
14th May | 11 am – 11:20 am | Hall 1
Data Evolution: Beyond Migration to Intelligent Modernization
Data transformation is no longer just about migration, it requires intelligent modernization. Enterprises must re-architect data platforms with governance, scalability, and AI-readiness at the core to enable trusted data, advanced analytics, and faster innovation.
This tech talk explores how organizations can move beyond lift-and-shift to build modern, resilient data ecosystems that power enterprise-wide AI adoption and long-term business value.
About the Speakers
Vignesh Sankaran and Prabhanjana Guttal bring deep expertise across Data Engineering and AI, with a combined track record of building scalable, cloud-native data platforms, driving AI-led automation, and architecting multi-cloud, Generative AI solutions that enable enterprise-scale transformation.
14th May | 2:15 pm – 2:35 pm | Hall 2
