I’d like to recap some of the really exciting AI-related announcements made by IBM at THINK 2019. First, Rob Thomas announced the IBM Watson Anywhere direction in this blog. In his blog, he announced a bold new way to engage and adopt IBM’s industry-leading AI platform by making Watson available anywhere – on any cloud, be it private, public, or hybrid-multicloud. That’s really big news! IBM is enabling the Watson capabilities to run across any public cloud or private cloud, in addition to being optimized for IBM Cloud.
Next, in Nick Werstiuk’s blog, we learn that PowerAI Enterprise is joining the IBM Watson family and is now called Watson Machine Learning Accelerator. This announcement represents a new and deeper integration between Watson Machine Learning Accelerator and Watson Studio and Watson Machine Learning. The goal is to make the distributed GPU training and inference capabilities that were part of PowerAI Enterprise available to a broader range of data science clients and users. With the introduction of Watson Machine Learning Accelerator, we bring the ability to deliver an optimized and shared data science environment to the IBM Watson portfolio.
In this blog by Keshav Ranganathan, we note that IBM recently introduced IBM Cloud Private for Data (ICP4D), a data and analytics platform to help make your data estate ready for AI. The brand new news here is that IBM Cloud Private for Data can now be deployed on IBM Power Systems, the server infrastructure purpose-built for data-intensive and AI workloads.
Finally, we also announced an IBM AI Learning and Certification program, which offers in-lab training workshops, a catalog of online courses, and will ultimately certify a new generation of AI developers. Take a look at the early progress.
To sum it up, there is a huge set of new announcements around IBM’s AI offerings that results in unprecedented value for clients looking to leverage all of their data to infuse AI into every aspect of their business.