At Cypher 2026, Tiger Analytics executives explained why moving generative AI from a working prototype to production requires more than getting the model to produce the right answer.

Discover how enterprises can scale Agentic AI effectively. Learn about bounded autonomy, building data foundations, and embedding AI governance.

Tiger Analytics is now an Open AI Select Partner, helping organizations build, deploy, and scale enterprise AI solutions.

Tiger Analytics welcomes Prakash Arunachalam as Global Head of Operations to drive operational excellence and scale our next phase of AI-driven growth.

Tiger Analytics recognized for its commitment to delivering transformative data and AI solutions for enterprises.

Recognized as a Leader in the 2026 ISG Databricks Ecosystem Partners report for data modernization and scalable AI/ML solutions.

This article explores how modern data platforms are evolving from insight tools into real-time, AI-driven execution layers.

Recognized as the Google Cloud Partner of the Year for Data & Analytics in North America for driving scalable enterprise AI transformation.

Exploring data model evolution and practical strategies for scaling analytics adoption and enterprise AI impact.

Discussing the transformative power of inclusive mentorship and supporting resilient leadership trajectories.

Exploring how supply chain advanced analytics and AI power the next wave of autonomous smart manufacturing.

How AI-driven diagnostics, imaging, and predictive models are reshaping modern healthcare.

Partnering with the Bihar government to establish a mega AI Centre of Excellence focused on research, innovation, and responsible AI adoption.

A deep dive into how predictive intelligence, GenAI, and agentic systems are transforming industrial operations.

Exploring Tiger Analytics’ next chapter of global scale and IPO plans as the company approaches $1 billion in revenue.

Partnering with Snowflake to deliver high-impact Energy and ESG solutions, enabling energy leaders to achieve measurable Net-Zero outcomes.

Gnana Prakash explains why single-agent copilots fail enterprise BI, highlighting multi-agent AI as the key to root-cause analysis.

Exploring how Tiger Analytics helps enterprises overcome POC fatigue and successfully scale production-grade AI.