Data Conference Databasea Query.Farm index
Speakers

Navneet Srivastava

Employers on the program

  1. 2019–2026Amazon Web Services10 talks
Events7
Conferences1
Talks12
Years active2019–2026

Upcoming appearances

Who’s booked ahead? →

Event dates shown; only events starting today or later count. 1 upcoming event.

  1. AWS re:Invent 2026 – · Las Vegas, United States
    • AI-Ready Data Foundation: Improve AI Accuracy in Healthcare and Life Sciences lightning talk Program source ↗
    • Govern data and AI agents with lineage and context in AWS Glue Data Catalog breakout Program source ↗

The year around now

Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.

JanFebMarAprMayJunJulAugSepOctNovDecAWS re:InventAWS re:Invent
Held in the past 12 months Next 12 months Today, Nov 10, 2026

Appearances by year

201920202021202220232024202520262027
  • AWS re:Invent

Talks

DateEventConferenceRoleTitleLinks
Nov 30, 2026AWS re:Invent 2026AWS re:Inventlightning talkAI-Ready Data Foundation: Improve AI Accuracy in Healthcare and Life Sciences
as Amazon

Most healthcare and life sciences organizations are experimenting with AI, but far fewer are able to move out of pilots and into production at enterprise scale.

Nov 30, 2026AWS re:Invent 2026AWS re:InventbreakoutGovern data and AI agents with lineage and context in AWS Glue Data Catalog
as Amazon
AI agents generate SQL, surface insights, and take action on your data. Without governance guardrails, they hallucinate column meanings, query stale tables, and…Show less

AI agents generate SQL, surface insights, and take action on your data. Without governance guardrails, they hallucinate column meanings, query stale tables, and return wrong answers with high confidence.

Dec 1, 2025AWS re:Invent 2025AWS re:InventbreakoutTurn unstructured data in Amazon S3 into AI-ready assets with SageMaker Catalog
as Amazon

Unstructured data often holds untapped value, and Amazon SageMaker makes it possible to turn that data into insights and AI-ready assets.

Dec 2, 2024AWS re:Invent 2024AWS re:InventbreakoutMonitor and manage data quality
as Amazon Web Services

The quality of data powers business decisions that drive outcomes. Successful businesses run on trusted data that is reliable and accurate.

Video
Nov 27, 2023AWS re:Invent 2023AWS re:InventbreakoutEasily and securely prepare, share, and query data
Businesses are looking for a decentralized, domain-oriented modern data architecture that enables zero-ETL, zero-copy, and governed sharing of data products to…Show less

Businesses are looking for a decentralized, domain-oriented modern data architecture that enables zero-ETL, zero-copy, and governed sharing of data products to internal and external customers that is easy for users to access. Join this session to learn the latest low-code AWS analytics and ML capabilities.

Video
Nov 27, 2023AWS re:Invent 2023AWS re:Inventchalk talkHealthcare and life sciences data access, sharing, and collaboration [REPEAT]
Data sharing and collaboration among healthcare and life sciences organizations can help derive better insights, accelerate innovation, and make data-driven…Show less

Data sharing and collaboration among healthcare and life sciences organizations can help derive better insights, accelerate innovation, and make data-driven clinical decisions.

Nov 28, 2022AWS re:Invent 2022AWS re:Inventchalk talkArchitecting for patient consent in healthcare
as Amazon Web Services
Allowing and managing patient consent is one of the key challenges in driving patient centricity. In this chalk talk, hear best practices for creating,…Show less

Allowing and managing patient consent is one of the key challenges in driving patient centricity. In this chalk talk, hear best practices for creating, managing, and maintaining patient consent using services such as AWS HealthLake, AWS Lake Formation, and Amazon Athena.

Slides
Nov 28, 2022AWS re:Invent 2022AWS re:InventworkshopFinding data in a life science data mesh
as AWS
Data sources for analytic needs in healthcare and life sciences are growing exponentially but are often not centralized in a common data lake. Finding data…Show less

Data sources for analytic needs in healthcare and life sciences are growing exponentially but are often not centralized in a common data lake. Finding data sources across a data mesh needs to be intuitive and easy.

Slides
Nov 29, 2021AWS re:Invent 2021AWS re:InventworkshopAccelerate science by unifying data silos across the enterprise
as AWS
When shifting to data-driven decision-making, customers—especially those in the life sciences—often struggle with the need to access data and free it from…Show less

When shifting to data-driven decision-making, customers—especially those in the life sciences—often struggle with the need to access data and free it from organizational silos or find it in other enterprises. In this workshop, learn how to build an effective data mesh platform on AWS to make data discoverable, secure, and interoperable.

Slides
Dec 2, 2019AWS re:Invent 2019AWS re:Inventchalk talkHow Cerner built a healthcare ML ecosystem with AWS analytics
as Amazon Web Services
Cerner deployed a platform that enables developers to build analytics and predictive healthcare models using big data architecture and machine learning. This…Show less

Cerner deployed a platform that enables developers to build analytics and predictive healthcare models using big data architecture and machine learning. This accelerates innovation and creates a common strategy to deploy models to the market faster.

Slides
Dec 2, 2019AWS re:Invent 2019AWS re:Inventchalk talkHow to run clinical applications on AWS
as Amazon Web Services
Healthcare providers are shifting clinical systems onto AWS to improve security, reduce costs, and take a more digitally enhanced strategy to innovate for their…Show less

Healthcare providers are shifting clinical systems onto AWS to improve security, reduce costs, and take a more digitally enhanced strategy to innovate for their patients. In this chalk talk, learn how clinical systems, such as electronic health records, are being run in the AWS Cloud.

Slides
Dec 2, 2019AWS re:Invent 2019AWS re:Inventdemo theaterRunning clinical applications on AWS
as Amazon Web Services
Healthcare providers are shifting clinical systems onto AWS to improve security, reduce costs, and take a more digitally enhanced approach to innovating for…Show less

Healthcare providers are shifting clinical systems onto AWS to improve security, reduce costs, and take a more digitally enhanced approach to innovating for their patients. In this talk, learn how clinical systems, such as those that hold electronic health records, are being run on the AWS Cloud.

Slides

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Ali Saidi7—2026
Amit Kumar7—2026
Andrew Crudge7—2026
Andrew Krug7—2026
Andy Reedy7—2026
Arthur Petitpierre7—2026
David Piet7—2026
David Yanacek7—2026
Dirk Fröhner7—2026
Eric Johnson7—2026
Gavin McCullagh7—2026
Greg Eppel7—2026
Gunnar Grosch7—2026
Imaya Kumar Jagannathan7—2026
Ishwar Parulkar7—2026

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.