Building a Private Cloud Platform for Data and AI with IBM

 View Only
When:  Jun 25, 2019 from 09:00 AM to 10:00 AM (PT)
Presented  by: IBM Watson Studio, IBM Cloud Private for Data, and Power Systems
 
You've heard the stats. 94% of enterprises are using multiple clouds. Private clouds are expected to grow to $433B in 2020 at CAGR of 15% from 2018-2020.  Traditional IT also continues to command $640B in investments. Yet 85% of enterprises are struggling to harness the power of AI because of data issues.  So how can you build a private cloud platform that helps you get more from  data and AI initiatives?
 
IBM Cloud Private For Data (ICP for Data) helps simplify and automate how your organization turns data into insights within a unified — all in one — design.
  • Collect – virtualize to make data simple and accessible
  • Organize – create a trusted, governed analytics foundation
  • Analyze – scale insights on-demand with AI everywhere
  • Infuse – operationalize AI with trust & transparency
 
IBM Decision Optimization, SPSS Modeler, and Data Refinery as part of IBM Watson Studio Premium Add-on to ICP for Data help you accelerate the time to value through visual modeling, easy-to-use optimization and rapid data visualization and preparation capabilities.  Optimized for data intensive and AI workloads, IBM Power Systems address the heterogeneous environments across the traditional IT, private clouds or hybrid clouds to handle flexible consumption models and changing business needs.
 
Together, IBM helps you transform how your business operates with an open, extensible data. and AI platform.
 
Join this session to learn about use cases, deployment patterns andpackages, and to find out how you can accelerate your journey to AI.
 
 
Deepak Rangarao
Global Technical Lead, IBM Cloud Private for Data
IBM
Keshav Ranganathan
Offering Manager, Data and AI Solutions on Power Systems
IBM
Julianna DeLua
Subject Matter Expert and Portfolio Manager, Data and AI
IBM

#GlobalDataScience