Tarek Abdunabi
Employers on the program
- 2024Amazon Web Services1 talk
- 2022Data, Analytics, and AI/ML Solutions1 talk
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | builders session | AI-powered vehicle diagnostics and root cause identification as AWS Join this hands-on session to build a generative AI–powered vehicle diagnostics and troubleshooting application. Use the Generative AI Application Builder…Show lessJoin this hands-on session to build a generative AI–powered vehicle diagnostics and troubleshooting application. Use the Generative AI Application Builder (GAAB) on AWS with Amazon Bedrock Guardrails to analyze vehicle issues, diagnostic data (DTCs, CAN bus data), and sensor readings. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | builders session | Speed deployment of generative AI applications using AWS solutions [REPEAT]Development of production-quality, generative AI applications is a time-consuming process with multiple architectural components and third-party integrations…Show lessDevelopment of production-quality, generative AI applications is a time-consuming process with multiple architectural components and third-party integrations that can take months to deploy due to the complexity and breadth of technology challenges. | |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | chalk talk | Speed deployment of machine learning models using AWS solutions as Data, Analytics, and AI/ML Solutions In this chalk talk, learn how Cognizant, a global provider of IT and business outsourcing services, used the MLOps Workload Orchestrator from the AWS Solutions…Show lessIn this chalk talk, learn how Cognizant, a global provider of IT and business outsourcing services, used the MLOps Workload Orchestrator from the AWS Solutions Library to build an ML operations (MLOps) solution that reduces the time and effort needed to deploy and maintain ML models. Cognizant’s data and analytics team helps organizations accelerate business growth using AI/ML. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Aaron Sempf | 3 | — | 2024 |
| Aaron Sengstacken | 3 | — | 2024 |
| Abbas Mooraj | 3 | — | 2024 |
| Abhay Saxena | 3 | — | 2024 |
| Abhinav Jawadekar | 3 | — | 2024 |
| Abhisheikh Lahoti | 3 | — | 2024 |
| Abhishek Srivastav | 3 | — | 2024 |
| Adam Hill | 3 | — | 2024 |
| Adam Keller | 3 | — | 2024 |
| Adam Palmer | 3 | — | 2024 |
| Adam Seligman | 3 | — | 2024 |
| Adam Wagner | 3 | — | 2024 |
| Aditya Samant | 3 | — | 2024 |
| Adnan Bilwani | 3 | — | 2024 |
| Ahuva Hazan-Fuchs | 3 | — | 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.