Palantir for IBM Cloud Pak® for Data will help enable customers to curate data across a hybrid cloud environment and flexibly customize applications with AI to improve their decision-making.

Palantir for IBM Cloud Pak® for Data will help enable customers to curate data across a hybrid cloud environment into Palantir applications and use Watson models developed on IBM Cloud Pak for Data to improve predictions with fairness and accuracy, so businesses can more confidently apply artificial intelligence (AI).

Data-driven operational decisions are critical to the success of any organization in a rapidly changing and competitive environment. Palantir and IBM have partnered to help solve these challenges for organizations and accelerate their use of AI in business. Palantir for IBM Cloud Pak for Data is being designed to do the following:

  1. Deliver AI for business capabilities in an easy to deploy and manage no-code/low-code environment.
  2. Simplify how data and AI models are connected to business decisions and actions, with explainability.
  3. Inform better decisions by automatically mapping data to industry context and business value.
  4. Automate how data is collected, organized and analyzed across hybrid cloud data estates.
  5. Consume services from a broad ecosystem of data and AI capabilities, including IBM Watson.

Read the full announcement on the IBM Watson blog.

More from Announcements

Success and recognition of IBM offerings in G2 Summer Reports  

2 min read - IBM offerings were featured in over 1,365 unique G2 reports, earning over 230 Leader badges across various categories.   This recognition is important to showcase our leading products and also to provide the unbiased validation our buyers seek. According to the 2024 G2 Software Buyer Behavior Report, “When researching software, buyers are most likely to trust information from people with similar roles and challenges, and they value transparency above other factors.”  With over 90 million visitors each year and hosting more than 2.6…

Manage the routing of your observability log and event data 

4 min read - Comprehensive environments include many sources of observable data to be aggregated and then analyzed for infrastructure and app performance management. Connecting and aggregating the data sources to observability tools need to be flexible. Some use cases might require all data to be aggregated into one common location while others have narrowed scope. Optimizing where observability data is processed enables businesses to maximize insights while managing to cost, compliance and data residency objectives.  As announced on 29 March 2024, IBM Cloud® released its next-gen observability…

Unify and share data across Netezza and watsonx.data for new generative AI applications

3 min read - In today's data and AI-driven world, organizations are generating vast amounts of data from various sources. The ability to extract value from AI initiatives relies heavily on the availability and quality of an enterprise's underlying data. In order to unlock the full potential of data for AI, organizations must be able to effectively navigate their complex IT landscapes across the hybrid cloud.   At this year’s IBM Think conference in Boston, we announced the new capabilities of IBM watsonx.data, an open…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters