IBM to Offer New Generative AI Solutions to Enterprises
Ask Procurement will be able to be integrated with Dun & Bradstreet solutions or an enterprise’s existing ERP or procurement solution.
Business analytics company Dun & Bradstreet and IBM have announced a collaboration that will bring together Dun & Bradstreet’s Data Cloud and IBM’s watsonx to help organizations responsibly expand their use of generative AI.
Dun & Bradstreet also intends to leverage watsonx for its workflows and solutions, supported by IBM Consulting.
Through this collaboration, Dun & Bradstreet and IBM aim to develop offerings for clients to use in their native workflows to drive generative AI adoption that can help achieve growth and efficiency across a variety of business functions.
The offerings will leverage watsonx, IBM’s next-generation AI and data platform, and draw upon Dun & Bradstreet’s Data Cloud. Dun & Bradstreet’s Ask Procurement is one of the new solutions that IBM and Dun & Bradstreet intend to bring to market.
Ask Procurement will be designed to help empower procurement professionals to unlock new data and insights with a 360-degree view into all aspects of a company’s business relationships to help increase savings, reduce time, and mitigate the potential for risk.
The solution is expected to leverage the D&B AiBE platform which will feature watsonx supported models and other generative AI capabilities fueled by Dun & Bradstreet’s vast Data Cloud.
Slated for delivery in the first half of next year (2024), Ask Procurement will be able to be integrated with Dun & Bradstreet solutions or an enterprise’s existing ERP or procurement solution.
“At Dun & Bradstreet, being a trusted data partner and a responsible AI partner to organizations are synonymous,” said Ginny Gomez, President, North America, Dun & Bradstreet.
Through the collaboration, D&B.AI Labs, IBM Consulting, and IBM Expert Labs teams will leverage the IBM Garage methodology to build AI use cases, implement watsonx, and develop applications that help address employee productivity, enhance customer experiences, mitigate business-to-business risks, automate workflows, and optimize efficiency.
“The transformative power of generative AI for business is wholly dependent upon data that is accurate, trusted, and targeted for enterprise use cases,” said Rob Thomas, Senior Vice President, Software, and Chief Commercial Officer, IBM.
According to IBM, this relationship is underpinned by principles of trust, responsibility, transparency, and explainability.