In-Memory Computing Best Practices: Developing New Apps, Channels and APIs

Digital transformation is arguably the most important initiative in IT today, in large part because of its ability to improve the customer experience and business operations, and to make a business more agile.  

But delivering a responsive digital business is not possible at scale without in-memory computing. This session, the third in the In-Memory Computing Best Practices Series, dives into how in-memory computing acts as a foundation for digital business.  Topics include how in-memory computing is used to:

  • Add speed and scale to data services, business services and other APIs
  • Inject hybrid transactional/analytical processing (HTAP) for intelligent process automation
  • Perform streaming analytics, machine and deep learning for anything from improving the customer experience to fraud detection and security.
  • Improve overall agility and bring new APIs and other capabilities to market faster

Catch up on the In-Memory Computing Best Practices Series

Watch Part 1: “Building an In-Memory Computing Foundation and Roadmap.”

Watch Part 2: "Adding Speed and Scale to Existing Applications.”

Presented by
Rob Meyer
Head of Outbound Product Management
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