- Start Time:02:20PM
- End Time:02:50PM
- Day:Day 2
Talk:
Generating prompt insights from data using machine learning (AI ML) and advanced analytics serves as a fundamental catalyst for driving business transformation. This presentation covers:
- Benefits and basic definitions of AI ML and Advanced Analytics and current challenges with common patterns of implementation in these areas around data volume, latency, and security.
- Components for a successful strategy and why distributed computing should be considered as a critical component in this strategy
- How Edge Computing as a distributed computing paradigm can address challenges related to data volume, latency, and security by processing data closer to the source, therefore, enabling more real-time insights, improved data privacy, and efficient resource utilization.
- Edge Computing design patterns, future of Edge Computing, and examples.
Associated Speakers:
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Azita Asefi
Principal Systems Architect, VP Decision Intelligence and Automation
Wells Fargo

02:20PM - Day 2
View Presentation: Importance of Edge Computing for a Successful AI Machine Learning (AI ML) and Advanced Analytics Strategy