IBM Watson Studio: Watson, Will It Generate Big Revenue?

May 22, 2019

Despite its troubles, Watson lives on. ZDNet reports, “IBM Updates Watson Studio.” The AI-model-building platform relies on Watson’s famous machine learning technology and can deploy its models to either onsite data centers or in the cloud. Writer Stephanie Condon specifies:

“Watson Studio 2.0 includes a range of new features, starting with data preparation and exploration. For data exploration, IBM is adding 43 data connectors like Dropbox, Salesforce, Tableau and Looker. It’s also adding an Asset Browser experience to navigate through Schemas, Tables and Objects. For refining data, there are new tools for previewing and visualizing data. For running analytics where your data lives and to leverage existing compute, IBM has enhanced Watson Studio’s integrations with Hadoop Distributions (CDH and HDP). Watson Studio 2.0 also now includes built-in batch and evaluation job management for Python/R scripts, SPSS streams and Data Refinery Flows. There’s a new collaborative interface, similar to Slack, to the Jupyter Notebook integration. Version 2.0 also lets scientists import open source packages or libraries.”

We’re also told support for your major GIT frameworks: Github, Github enterprise, Bitbucket and Bitbucket Server. This release is in line with IBM’s goal, stated earlier this year, of making all of its Watson tech available to multiple cloud platforms. These applications, dev tools, and models now make their home under the IBM Cloud Private for Data. Back to the question in the headline. The answer, stakeholders hope, is “Yes.” For those with less optimism, the answer may be, “Probably not.”

Cynthia Murrell, May 22, 2019


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