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IBM Data Replication on Cloud provides a fully managed, easy to use, cloud-based replication service that allows you to focus on your business through eliminating the need to build and maintain your replication infrastructure. This new service will retain all the core data replication...
" IBM continued enhancing its core Cloud Pak hybrid cloud software offerings, this week bolstering automation and data features that will let customers simplify everything from software provisioning and patching, to data discovery and document processing." #Featured-area-1 ...
2020 has been a year like no other. For many of us, it has meant working from home, back to back zoom/video calls and virtual happy hours. However, one constant that has stayed the same throughout these turbulent times is IBM's commitment to our customers and helping them innovate their...
This year, IBM has made a number of enhancements to Cloud Pak for Data to streamline the process of data preparation for artificial intelligence, and the principles of DataOps have been at the heart of this effort. Obviously, one of the largest problems that DataOps seeks to tackle is...
Author: Pat O’Sullivan – Senior Technical Staff Member – IBM Data and AI The past does not repeat itself, but it rhymes Mark Twain 25 years ago at the start of the data warehouse era, many organizations were scrambling to figure out how to best structure their...
AI-powered data integration for all your multicloud and hybrid cloud environments. Explore use cases including banking and financial services, healthcare, retail & consumer products, and energy & utilities. #ai #banking #Cloud #DataIntegration ...
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Check out this eBook from Data and AI Virtual Forum 2020 about the people, processes, and technology that will transform your business outcomes. #Spotlight #GlobalDataOps #Highlights #Highlights-home
2802-DataOps_eBook-v4b-FNL.pdf
These are Marc Hebert's anchor slides for the Jan 21 OVUG meeting #Spotlight #Highlights #Highlights-home #InfoSphereOptim #Optim #OVUG
OVUG Meeting Slides--jan.21.2020.pptx