Navneet Srivastava
Employers on the program
- 2019–2026Amazon Web Services10 talks
Upcoming appearances
Who’s booked ahead? →Event dates shown; only events starting today or later count. 1 upcoming event.
-
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 ↗
No upcoming appearances are currently recorded.
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.
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | lightning talk | AI-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, 2026 | AWS re:Invent 2026 | AWS re:Invent | breakout | Govern 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 lessAI 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, 2025 | AWS re:Invent 2025 | AWS re:Invent | breakout | Turn 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, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | Monitor 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, 2023 | AWS re:Invent 2023 | AWS re:Invent | breakout | Easily and securely prepare, share, and query dataBusinesses are looking for a decentralized, domain-oriented modern data architecture that enables zero-ETL, zero-copy, and governed sharing of data products to…Show lessBusinesses 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, 2023 | AWS re:Invent 2023 | AWS re:Invent | chalk talk | Healthcare 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 lessData sharing and collaboration among healthcare and life sciences organizations can help derive better insights, accelerate innovation, and make data-driven clinical decisions. | |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | chalk talk | Architecting 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 lessAllowing 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, 2022 | AWS re:Invent 2022 | AWS re:Invent | workshop | Finding 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 lessData 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, 2021 | AWS re:Invent 2021 | AWS re:Invent | workshop | Accelerate 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 lessWhen 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, 2019 | AWS re:Invent 2019 | AWS re:Invent | chalk talk | How 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 lessCerner 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, 2019 | AWS re:Invent 2019 | AWS re:Invent | chalk talk | How 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 lessHealthcare 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, 2019 | AWS re:Invent 2019 | AWS re:Invent | demo theater | Running 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 lessHealthcare 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
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Ali Saidi | 7 | — | 2026 |
| Amit Kumar | 7 | — | 2026 |
| Andrew Crudge | 7 | — | 2026 |
| Andrew Krug | 7 | — | 2026 |
| Andy Reedy | 7 | — | 2026 |
| Arthur Petitpierre | 7 | — | 2026 |
| David Piet | 7 | — | 2026 |
| David Yanacek | 7 | — | 2026 |
| Dirk Fröhner | 7 | — | 2026 |
| Eric Johnson | 7 | — | 2026 |
| Gavin McCullagh | 7 | — | 2026 |
| Greg Eppel | 7 | — | 2026 |
| Gunnar Grosch | 7 | — | 2026 |
| Imaya Kumar Jagannathan | 7 | — | 2026 |
| Ishwar Parulkar | 7 | — | 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.