Learn what’s new with IBM Watson Studio: One portfolio for AI and machine learning
By Mel Smith | 3 minute read | November 2, 2018
Over the last decade, the data science market has evolved, new macro trends have developed and IBM has invested in advanced technologies and platforms while ushering customers into the era of enterprise data science. In 2016 IBM introduced the Data Science Experience, which blurred the lines between our new and old technologies. We have now made the decision to simplify our portfolio for our customers under a single brand — IBM Watson Studio.
IBM Watson Studio was first announced at IBM’s Think conference in March 2018, and included the integration of all the capabilities of Data Science Experience Cloud and a brand-new interface for SPSS Modeler. Starting October 2018, IBM has now rebranded the on-premises offering of Data Science Experience Local to IBM Watson Studio Local, and also integrated SPSS Modeler and Decision Optimization tools within IBM Watson Studio. In addition, we are introducing a new product called IBM Watson Studio Desktop to address data prep and modeling needs on an individual desktop.
IBM Watson Studio has also been recently recognized as a Leader in the 2018 Forrester Wave report on Predictive Analytics and Machine Learning (PAML) platforms. Forrester Wave recognized IBM Watson Studio as a “perfectly balanced PAML solution for enterprise data science teams that want the productivity of visual tools and access to the latest open source via a notebook-based coding interface.” IBM received the highest possible score in breadth and depth of functionality, our blend of workflow capabilities with open source machine learning and our pretrained machine learning models for IBM Watson Visual Recognition, IBM Watson Natural Language Classifier and many others.
To further advance our capabilities, IBM Watson Studio is partnering with two industry leaders in data annotation, DefinedCrowd and Figure Eight. These partnerships will advance our capabilities in image categorization, natural language classification, sentiment analysis and content moderation. The integration of these two technologies into IBM Watson Studio will create a seamless, one-stop solution that combines human intelligence and machine learning capabilities to accelerate enterprise AI initiatives.
In the coming months, IBM Analytics will bring to market a newly streamlined portfolio. We will deliver an exciting set of new capabilities to our existing customers, whether they need them on a public cloud, private cloud, on premises or on their desktop. And our current products, such as SPSS Modeler and Decision Optimization, will continue to be a core component of the IBM Watson Studio platform, supporting full compatibility with previous work assets.
Thank you for your continued investment in IBM Analytics! We are excited about our enhanced Data Science portfolio and encourage you to share with your clients and help accelerate their AI and machine learning journey. I would also love to hear from you – please use the comments feature below to share your thoughts.
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