Overview

The Bio-IT World Conference and Expo 2024 brings together a community of leading life sciences, pharmaceutical, clinical, healthcare, informatics, and technology experts in the fields of biomedical research, drug discovery and development, and healthcare from around the world. Join us at this event to connect with our leaders and experience our Gen AI-powered solutions that are advancing your Pharma business growth. Also explore Agilisium customer success stories on how our Advanced Data Analytics solutions speeds the growth, revolutionizes Pharmaceutical Organizations, optimizing Drug Discovery to Drug Commercialization.

AGILISIUM at BioIT World Conference and Expo 2024

Connect and engage with our solution experts and Gen AI practitioners, and while you're there, don't miss the opportunity to participate in a free live demo showcasing some of our Gen AI solution offerings.
Raj Babu
Chief Executive Officer
Dr. Amar Drawid
Chief AI & Business Consulting Officer
Bala Irulandy
Chief Customer Officer
Arun Kumar
Global CTO
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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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