Presentation: Importance of Edge Computing for a Successful AI Machine Learning (AI ML) and Advanced Analytics Strategy

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.