“Today, nearly 75% of businesses surveyed in an IBM sponsored report say they are exploring or implementing AI. However, 37% cited limited AI expertise and 31% cite increasing data complexities and silos as barriers to successful adoption,” said IBM.
Palantir for IBM Cloud Pak for Data leverages Palantir Foundry data operations platform and IBM Cloud Pak for Data services, such as Watson, to help users access, analyze, and act on extensive data spread across hybrid cloud environments. The platform also enables businesses to reduce data silos and monitor data throughout the AI lifecycle, starting from data scooping and model building to analytics and full-fledged enterprise AI deployment.
What’s more, businesses can choose to work with IBM Data Science and AI Elite team to address AI adoption challenges and handle any data science use cases.
The offering targets enterprises looking to include AI-based applications to automate tasks and processes for large quantities of data, resulting in informed, data-driven decision-making.
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For instance, Palantir for IBM Cloud Pak for Data provides retailers with increased visibility and transparency by integrating data across their operational silos, enabling vendors and distributors to proactively monitor supply-chain health in real-time.
In the finance sector, Palantir for IBM Cloud Pak for Data helps with high-volume data integration, deduplication, and mapping to a common data model, ensuring an aggregated and consistent single customer view (SCV).
Also primed for telecommunications, Palantir for IBM Cloud Pak for Data connects data from suppliers, CRM applications, sales orders, and production data with AI models for campaign optimization and attrition prediction/prevention to enhance customer care and add value across multiple business objectives.
“Our clients deliver products and services while operating in some of the most complex, fast-changing industries of the world,” said Rob Thomas, senior vice president, cloud and data platform, IBM. “Together, IBM and Palantir aim to make it easier than ever for businesses to put AI to work and become data-driven throughout their operations.”
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See the original article here: ITPro