IBM’s IBM Watson for Data Science Platform is a $20 Billion Innovation
IBM announced the launch of IBM Watson Analytics and Data Science platform on Tuesday.
The new IBM Watson Platform, developed by IBM and partner data scientists at Data Sciences Lab, allows data scientists to create and analyze data quickly and efficiently using data analytics and predictive analytics tools.
The platform is designed to be a “mobile first” data science platform, which allows users to quickly and easily create and test data.
The new platform is compatible with all major platforms including iOS, Android, Windows, and Mac.
The launch of the new IBM AI platform marks a major milestone for Watson Analytics, as IBM is one of the largest data science companies in the world, with over a billion users and over 500 million users worldwide.
Watson Analytics will offer a complete set of tools and APIs to connect Watson Analytics with other data science platforms and the cloud.
The Watson Analytics Platform provides access to the IBM Watson platform to the world’s largest data scientists, as well as access to all of the software and services developed by Data Sciences Labs.
Watson Platform includes tools to create, analyze, and analyze structured data, along with machine learning, machine learning inference, data science modeling, data mining, and data analysis.
Data Science Lab’s Watson Analytics is a collaboration between Data Sciences, IBM, and IBM Research, which is the global leader in research and innovation in the data science and analytics fields.
This new Watson Platform provides the data scientists with the tools they need to quickly build data science models that are easy to use, perform complex calculations, and perform complex data analysis tasks.
This new IBM Data Science powered by IBM Watson enables data scientists in over 50 countries to quickly prototype and scale their own data science applications.
IBM Data Sciences Laboratory, in collaboration with IBM Watson, created the IBM Data Scientist Toolkit to enable data scientists from across the world to quickly create and deploy applications that will be ready for deployment in a year or less.
The toolkit was designed to help data scientists develop, build, and test applications that leverage the power of Watson Analytics.