AI for the Enterprise

IBM named a “Leader” in Forrester Predictive Analytics and Machine Learning report

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Data may be the new natural resource, but without artificial intelligence (AI) applications, the insights and competitive advantage that can be derived from data will remain untapped. The key to operationalizing AI across the enterprise is a single environment that integrates the tools that can be used by data scientists, developers, business analysts, and line-of-business experts to collaboratively and easily work with data and use that data to build, train and deploy models. IBM Watson Studio is that environment.

This week, we were pleased to learn that Watson Studio was named a “Leader” in the Forrester Q3 2018 Wave report on Multimodal Predictive Analytics And Machine Learning Solutions[1]. The report evaluated 13 most significant multimodal predictive analytics and machine learning (PAML) providers, looking into each vendor’s current offering, strategy and market presence.

“IBM Puts AI to Work”

According to the Forrester report, Watson Studio is 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.” It is designed for all collaborators —business stakeholders, data engineers, data scientists, and app developers —who are key to making machine learning models surface into production applications. It offers easy integrated access to IBM Cloud pre-trained machine learning models such as Visual Recognition, Watson Natural Language Classifier, and many others.

Watson Studio

Watson Studio is an integrated environment that combines popular open source tools with IBM technologies into a single platform with a consistent experience. These tools are preconfigured, which means builders don’t have to spend time installing, setting up and maintaining them. The built-in catalog function enables knowledge sharing and retention. This seamless collaboration leads to big productivity gains that save both time and money in building AI applications.

For developers who like to code in popular data science languages like Python and R, it has built-in Jupyter Notebook and R Studio. For business analysts who don’t want to code, it provides SPSS Modeler and Neural Network Modeler that has an intuitive visual interface to develop predictive models without the need for programming. To make AI implementation simpler, Watson Studio provides easy access to Cloud-based Watson Services like Visual Recognition and Natural Language Classifier.

In short, Watson Studio supports complete AI lifecycle for organizations of all sizes, from curating training data to training and deploying machine learning models. Visit the Watson Studio product page to learn more.

[1] Source: Forrester Research Inc. The Forrester Wave™: Multimodal Predictive Analytics And Machine Learning Solutions, Q3 2018 by Mike Gualtieri and Kjell Carlsson, Ph.D., September 5, 2018

Get the Forrester Predictive Analytics and Machine Learning report

Lead Offering Manager, IBM Data Science Experience and Watson Machine Learning, IBM Watson and Cloud Platform

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