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IBM Unveils watsonx.governance to Help Businesses & Governments Govern and Build Trust in Generative AI

IBM Corporation logo. (PRNewsfoto/IBM)

News provided by

IBM

Nov 14, 2023, 07:00 ET

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watsonx.governance helps organizations:

  • Manage AI to meet upcoming safety and transparency regulations and policies worldwide – a "nutrition label" for AI
  • Proactively detect and mitigate risk, monitoring for fairness, bias, drift, and new LLM metrics
  • Manage, monitor, and govern AI models from IBM, open source communities, and other model providers

ARMONK, N.Y., Nov 14, 2023 /PRNewswire/ -- IBM (NYSE:IBM) today announced that watsonx.governance will be generally available in early December to help businesses shine a light on AI models and eliminate the mystery around the data going in, and the answers coming out.

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While generative AI, powered by Large Language Models (LLM) or Foundation Models, offers many use cases for businesses, it also poses new risks and complexities, including training data scraped from corners of the internet that cannot be validated as fair and accurate, all the way to a lack of explainable outputs. Watsonx.governance provides organizations with the toolkit they need to manage risk, embrace transparency, and anticipate compliance with future AI-focused regulation.

As businesses today are looking to innovate with AI, deploying a mix of LLMs from tech providers and open sources communities, watsonx enables them to manage, monitor and govern models from wherever they choose.

"Company boards and CEOs are looking to reap the rewards from today's more powerful AI models, but the risks due to a lack of transparency and inability to govern these models have been holding them back," said Kareem Yusuf, Ph.D, Senior Vice President, Product Management and Growth, IBM Software. "Watsonx.governance is a one-stop-shop for businesses that are struggling to deploy and manage both LLM and ML models, giving businesses the tools, they need to automate AI governance processes, monitor their models, and take corrective action, all with increased visibility. Its ability to translate regulations into enforceable policies will only become more essential for enterprises as new AI regulation takes hold worldwide."

IBM Consulting has also expanded their strategic expertise to help clients scale responsible AI with both automated model governance and organizational governance encompassing people, process and technology from IBM and strategic partners. IBM consultants have deep skills in establishing AI ethics boards, organizational culture and accountability, training, regulatory and risk management, and mitigating cybersecurity threats, all using human-centric design.

Watsonx.governance is one of three software products in the IBM watsonx AI and data platform, along with a set of AI assistants, designed to help enterprises scale and accelerate the impact of AI. The platform includes the watsonx.ai next-generation enterprise studio for AI builders and the watsonx.data open, hybrid, and governed data store. The company also recently announced intellectual property protection for its for IBM-developed watsonx models.

About IBM
IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service.

Visit www.ibm.com for more information.

Contacts:

Amy Angelini
[email protected]

Zach Bishop
[email protected]

SOURCE IBM

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