Visually Build AI and Machine Learning Models

IBM Watson Studio Desktop brings powerful artificial intelligence and machine learning to businesses with collaborative and seamless workflows, enterprise scale, security and governance — all in the hybrid, multi-cloud environment.

To address today’s always-on and data security needs, Watson Studio Desktop brings the power of industry-leading IBM data science and AI tools to Windows and Mac OS. It modernizes predictive analytics and machine learning processes and accelerates time to value to:

  • Empower data scientists to work seamlessly anywhere, with all their data on the desktop.
  • Provide powerful data science tools offline, including Projects, Data Refinery, SPSS Modeler and Visualization.
  • Enforce enterprise security and governance policies across all desktop environments.
  • Create a unified user experience across desktop, cloud and local Watson Studio environments.
  • Accelerate adoption and boost productivity with easy installation and automatic updates.

    Please complete the form below to access this research:

    Business E-mail Address

    First Name

    Last Name

    Company

    Job Title

    Company Size

    Industry

    State/Province/Region

    Country

    Business Phone Number

    IBM may use my contact data to keep me informed of products, services, and offerings.
    By EmailBy Telephone

    You can withdraw your marketing consent at any time by sending an email to NETSUPP@us.ibm.com. Also you may unsubscribe from receiving marketing emails from IBM by clicking the unsubscribe link in each such email.

    More information on IBM processing of your personal data can be found in the IBM Privacy Statement. By submitting this form, I acknowledge that I have read and understand the IBM Privacy Statement.

    Your privacy is a top concern for us at Knowledge Hub Media. We’ll only use your personal information to provide you with the content, products and/or services you’ve requested from us. By entering your contact information and clicking on the “submit” button below, you are confirming that you have carefully read Knowledge Hub Media’s Terms of Use agreement, and Privacy Policy, and agree to be legally bound by all such terms.

    Yes, I agree to the Terms of Use Agreement.

    Yes, I agree to the Privacy Policy.

    The third party vendor sponsoring this content may wish to contact you regarding products and/or services as they relate to this white paper/research. Please check the appropriate boxes below, indicating the ways in which you would like to receive communication from our third party affiliates:

    Yes, I would like to receive communication by email.Yes, I would like to receive communication by telephone.Yes, I would like to receive communication by postal mail.

    Knowledge Hub Media would also like to keep in touch regarding related content, white papers, business/technology research and upcoming events in your area of expertise. Please check the appropriate boxes below to opt-in:

    Yes, Knowledge Hub Media may contact me via email.Yes, Knowledge Hub Media may contact me via telephone.Yes, Knowledge Hub Media may contact me via postal mail.

    You can easily change your communication and consent preferences at any time. Opt-out of receiving communication from Knowledge Hub Media and/or our third party affiliates by easily updating your personally identifiable data and contact preferences here: Update Communication Preferences

    Comments are closed.