Justin Callison
Employers on the program
- 2022–2024Amazon Web Services4 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | [NEW LAUNCH] Private API integration for Amazon EventBridge and AWS Step Functions as AWS For organizations migrating and modernizing workloads on private networks, integrating disparate systems while securing sensitive data is a major challenge. | Video |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | code talk | Build a meeting summarization solution with generative AI & serverless as AWS In this code talk, see live coding of a serverless application for producing meeting summaries with generative AI. Learn how to orchestrate transcription using…Show lessIn this code talk, see live coding of a serverless application for producing meeting summaries with generative AI. Learn how to orchestrate transcription using Amazon Transcribe and summarization with Amazon Bedrock, orchestrated with AWS Step Functions. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | Building an integration strategy for the future as AWS Boost productivity and create better customer experiences by building a modern integration strategy. This session explores using AWS application, data, and file…Show lessBoost productivity and create better customer experiences by building a modern integration strategy. This session explores using AWS application, data, and file integration services to connect on-premises and cloud technologies securely and at scale. | Video |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | breakout | [NEW LAUNCH!] Accelerating workloads using parallelism with AWS Step Functions & Lambda as AWS Parallel processing is a common computing approach to help solve large problems in a shorter period of time. By running the components of a problem…Show lessParallel processing is a common computing approach to help solve large problems in a shorter period of time. By running the components of a problem concurrently, the total duration is greatly reduced. | SlidesVideo |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Adam Wagner | 2 | 2 | 2024 |
| Brian Zambrano | 2 | 2 | 2024 |
| Tom Soderstrom | 2 | 1 | 2024 |
| Uma Ramadoss | 2 | 1 | 2024 |
| Aaron Friedman | 2 | — | 2024 |
| Aaron Sempf | 2 | — | 2024 |
| Aaron Sengstacken | 2 | — | 2024 |
| Aarthi Raju | 2 | — | 2024 |
| Abbas Mooraj | 2 | — | 2024 |
| Abdul Qadir | 2 | — | 2024 |
| Abhay Saxena | 2 | — | 2024 |
| Abhi Khanna | 2 | — | 2024 |
| Abhilash Nagilla | 2 | — | 2024 |
| Abhinav Jawadekar | 2 | — | 2024 |
| Abhinav Sarin | 2 | — | 2024 |
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.