Nishant Saini
Employers on the program
- 2021–2022Amazon Web Services3 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | chalk talk | Cybersecurity for operational technology and industrial IoT Join this chalk talk to see the design patterns and solutions for operational technology (OT) and industrial IoT (IIoT) cybersecurity use cases on AWS. | |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | builders session | Building a digital twin of an industrial machine as AWS In this industrial IoT (IIoT) builders’ session, build a digital twin of an industrial drill press on AWS. Learn how to connect an industrial gateway to the…Show lessIn this industrial IoT (IIoT) builders’ session, build a digital twin of an industrial drill press on AWS. Learn how to connect an industrial gateway to the drill press PLC, ingest the drill’s telemetry via OPC-UA into AWS IoT SiteWise using an industrial gateway, build a digital twin of the drill using AWS IoT TwinMaker, and then visualize it using a Grafana dashboard. | Slides |
| Nov 29, 2021 | AWS re:Invent 2021 | AWS re:Invent | chalk talk | Building a manufacturing data and analytics platform on AWS as Amazon Web Services From this chalk talk, AWS Partners can learn how to build industrial solutions using an industrial data platform on AWS. Learn how to establish a single…Show lessFrom this chalk talk, AWS Partners can learn how to build industrial solutions using an industrial data platform on AWS. Learn how to establish a single repository of real-time and historical data to enable innovation and automated workflows through AWS for industrial solutions for advanced analytics, machine learning, and artificial intelligence at scale across a global footprint. | Slides |
| Nov 29, 2021 | AWS re:Invent 2021 | AWS re:Invent | workshop | Industrial condition monitoring and automated quality inspection as AWS Bring your laptop and basic console knowledge to this hands-on workshop to get direct experience applying AI and ML to industrial operations use cases such as…Show lessBring your laptop and basic console knowledge to this hands-on workshop to get direct experience applying AI and ML to industrial operations use cases such as predictive quality and rotating equipment condition monitoring. Learn how to use a sample product quality image dataset to build and train an ML model with Amazon Lookout for Vision to detect quality issues on a production line. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Jan Metzner | 3 | 1 | 2023 |
| Steve Blackwell | 3 | 1 | 2023 |
| Aaron Sengstacken | 3 | — | 2023 |
| Abhay Saxena | 3 | — | 2023 |
| Adam Hesch | 3 | — | 2023 |
| Adam Hill | 3 | — | 2023 |
| Adam Palmer | 3 | — | 2023 |
| Adam Selipsky | 3 | — | 2023 |
| Adnan Bilwani | 3 | — | 2023 |
| Adolfo Hernandez | 3 | — | 2023 |
| Akash Bhatia | 3 | — | 2023 |
| Ala Abunijem | 3 | — | 2023 |
| Alan Halachmi | 3 | — | 2023 |
| Alex DeBrie | 3 | — | 2023 |
| Alex Torres | 3 | — | 2023 |
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.