Overview

Join the global tech community at the Data + AI Summit organized by Databricks - the premier annual customer conference for the modern-day data stack. Taking place in-person at San Francisco's Moscone Center, this year's event boasts an impressive line-up of top experts, researchers, and open-source contributors. Whether you're a skilled engineer, ML enthusiast, or SQL expert who is enthusiastic to explore LLMs, you'll find invaluable insights and networking opportunities. Look out for Agilisium cloud data & AI experts who will be sharing thought leadership and discussing customer success stories at the summit.

Don't miss the chance to schedule time with our experts and accelerate your data, AI, and ML journey. We can't wait to see you at the Data + AI Summit by Databricks!

Databricks Data AI Summit 2023

Discover our real-world case studies and best practices for mission-critical data, analytics and AI in transformative organizations.
Bala Irulandy
Chief Customer Officer
Doris Aves
Global Head - Delivery & Operations
Rahul
Director of Account Delivery
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Meet Our Team at AWS re: Invent 2022

Bala Irulandy
VP Engineering
Bala Irulandy
VP Engineering
Bala Irulandy
VP Engineering
Bala Irulandy
VP Engineering
Bala Irulandy
VP Engineering
Bala Irulandy
VP Engineering
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Meet Our Team at AWS re: Invent 2022

Bala Irulandy
VP Engineering
Bala Irulandy
VP Engineering
Bala Irulandy
VP Engineering
Bala Irulandy
VP Engineering
Bala Irulandy
VP Engineering
Bala Irulandy
VP Engineering
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Built A Unified Tableau Dashboard Migrated From DOMO

Learn how we Re-engineered & Migrated DOMO dashboards to Tableau in Snowflake, reducing 80% of Compute Time & 45% of TCO
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Improved the Retention Rate by 70% by delivering Personalized user recommendations for an American mass media house conglomerate

Viewership details of each user are captured from various partners such as Hulu, Youtube, AppleTV, etc. and stored in Redshift
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How a F500 Pharmaceutical Commercial Team achieved Data Democratization and reduced Drug Commercialization Cost by 30%

Agilisium used AWS services to rearchitect a commercial data lake and a data warehouse with end-to-end process automation
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