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#574: Building enterprise-grade Gen AI applications with Sumeet Agrawal, Informatica

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Contenido proporcionado por The Agile Brand. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The Agile Brand o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

It’s hard to escape talk of AI these days, but not all AI is the same, and not all of it is safe for large organizations to use.

Today we're diving into the evolving world of generative AI for the enterprise with Sumeet Agrawal, VP of Product Management at Informatica. We’ll discuss strategies and considerations for building robust, enterprise-grade generative AI applications.

Sumeet Kumar Agrawal is a VP of Product Management at Informatica. Based in the Bay Area, Sumeet has 15+ years of data engineering and product management experience, driving innovative products within the cloud technology sector. He leads the Cloud AI/GenAI, Analytics & Data warehouse & Data lake, and iPaaS product portfolio at Informatica. It consists of multiple product lines such as Cloud Data Engineering, Streaming, big data, NoSQL, Serverless, Cloud Mass Ingestion(including CDC), Serverless & AI/ML, GenAI, API, and App Integration initiatives. He has a lot of experience working with many cloud ecosystem vendors like AWS, GCP, Azure, Snowflake, Databricks, etc. Apart from this, Sumeet has been frequently recognized as a strong communicator who has successfully worked with people from broad socio-economic backgrounds, and diverse cultures, building strong and fruitful organizational teams. He sits on the advisory board of many startups.

RESOURCES

Informatica website: https://www.informatica.com

Register for the Medallia CX Day webinar: Building Loyalty: How Top Brands Create Forever Customers with CX - https://bit.ly/3M7dkQM

Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom

Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show

Attend the Mid-Atlantic MarCom Summit, the region's largest marketing communications conference. Register with the code "Agile" and get 15% off.

Register now for HumanX 2025. This AI-focused event which brings some of the most forward-thinking minds in technology together. Register now with the code "HX25p_tab" for $250 off the regular price.

Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com

The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow

The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

  continue reading

621 episodios

Artwork
iconCompartir
 
Manage episode 439291994 series 2577060
Contenido proporcionado por The Agile Brand. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The Agile Brand o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

It’s hard to escape talk of AI these days, but not all AI is the same, and not all of it is safe for large organizations to use.

Today we're diving into the evolving world of generative AI for the enterprise with Sumeet Agrawal, VP of Product Management at Informatica. We’ll discuss strategies and considerations for building robust, enterprise-grade generative AI applications.

Sumeet Kumar Agrawal is a VP of Product Management at Informatica. Based in the Bay Area, Sumeet has 15+ years of data engineering and product management experience, driving innovative products within the cloud technology sector. He leads the Cloud AI/GenAI, Analytics & Data warehouse & Data lake, and iPaaS product portfolio at Informatica. It consists of multiple product lines such as Cloud Data Engineering, Streaming, big data, NoSQL, Serverless, Cloud Mass Ingestion(including CDC), Serverless & AI/ML, GenAI, API, and App Integration initiatives. He has a lot of experience working with many cloud ecosystem vendors like AWS, GCP, Azure, Snowflake, Databricks, etc. Apart from this, Sumeet has been frequently recognized as a strong communicator who has successfully worked with people from broad socio-economic backgrounds, and diverse cultures, building strong and fruitful organizational teams. He sits on the advisory board of many startups.

RESOURCES

Informatica website: https://www.informatica.com

Register for the Medallia CX Day webinar: Building Loyalty: How Top Brands Create Forever Customers with CX - https://bit.ly/3M7dkQM

Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom

Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show

Attend the Mid-Atlantic MarCom Summit, the region's largest marketing communications conference. Register with the code "Agile" and get 15% off.

Register now for HumanX 2025. This AI-focused event which brings some of the most forward-thinking minds in technology together. Register now with the code "HX25p_tab" for $250 off the regular price.

Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com

The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow

The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

  continue reading

621 episodios

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