IBM Power Systems Enterprise AI Solutions
By Scott Vetter, Glen Corneau, Andrew Laidlaw & Marcos Quezada
- Release Date: 2019-09-25
- Genre: Computers
This IBM® Redpaper publication helps the line of business (LOB), data science, and information technology (IT) teams develop an information architecture (IA) for their enterprise artificial intelligence (AI) environment. It describes the challenges that are faced by the three roles when creating and deploying enterprise AI solutions, and how they can collaborate for best results.
This publication also highlights the capabilities of the IBM Cognitive Systems and AI solutions:
IBM Watson® Machine Learning Community Edition
IBM Watson Machine Learning Accelerator (WMLA)
IBM PowerAI Vision
IBM Watson Machine Learning
IBM Watson Studio Local
IBM Video Analytics
H2O Driverless AI
IBM Spectrum® Scale
IBM Spectrum Discover
This publication examines the challenges through five different use case examples:
Artificial vision
Natural language processing (NLP)
Planning for the future
Machine learning (ML)
AI teaming and collaboration
This publication targets readers from LOBs, data science teams, and IT departments, and anyone that is interested in understanding how to build an IA to support enterprise AI development and deployment.
