Containerized Data & Analytics On Kubernetes




Containerized Data & Analytics on Kubernetes

5 December 2018

New York

Added 01-Jan-1970

Modernize how you collect, organize and analyze data with a multicloud platform.

=> Make your data simple and accessible : Collect data of every type regardless of where it lives, enabling flexibility in the face of ever-changing data sources.

=> Create a trusted analytics foundation: Organize all your data into a trusted, business-ready foundation with built-in governance, protection and compliance controls.

=> Scale insights on demand with AI everywhere: Analyze your data in smarter ways and benefit from AI models that empower your teams to gain new insights and make better decisions.

Kubernetes is becoming a de facto standard for delivering a wide variety of application payloads. Within that context, it’s increasingly apparent that microservices based on containers and Kubernetes will play a critical role in distributing and democratizing AI-infused analytics. In fact, just about every enterprise application soon will either have AI functions embedded in it or will be able to invoke an analytics application infused with AI via REST application programming interfaces. Many organizations are now engaged in a race to leverage AI before rivals can employ those capabilities, which means it might be difficult to sustain a competitive advantage using AI. But it’s clear that any application that is unable to take advantage of AI soon will be rendered obsolete.

Speaker: Dwaine Snow

6:00 - 6:30 => Sign-in / Network / Refreshments
6:30 - 7:30 => Big Data, Kubernetes & IBM Cloud Private for Data
7:30 - 8:00 => Q&A / Networking