How IBM Watsonx can help your enterprise prioritize responsible AI

Over the next decade, AI will impact every industry and help determine which companies, teams, and executives will lead the way. This is why we see so many early adopters of AI in sports. In sports, even a small competitive advantage can be the difference between first and second place.

For example, consider last year’s US Open, where IBM watsonx™ predicted the strength or weakness level of every player in the singles draw. Overseas, Sevilla FC has launched a watsonx-based tool to provide scouts with comprehensive data-driven identification and assessment of potential recruits. And EDGE3 is built into IBM watsonx to help colleges and athletes navigate the increasingly complex world of recruiting by improving the decision-making process for college programs and athletes.

These practices go hand in hand with rapid enterprise adoption. For example, we are working with Adobe to include watsonx in their platform to support key industries. With SAP, we are working together to integrate additional AI, machine learning, and other intelligent technologies into SAP solutions to deliver better business outcomes for our joint customers.

Companies of all shapes, sizes, and industries are taking their first steps on their AI journey. The two questions they should ask are:

Is AI Right for My Business?

totally. If you’re leading a high-growth startup or an established company, you’re likely operating in a highly competitive market where AI can add tremendous value to your business. Start your AI journey by determining your use case and what you want to achieve.

Today, partners across industries are embedding IBM watsonx into their workflows, products and solutions in a variety of ways to enhance their existing technologies. For example, integrating Watsonx with Box’s Content Cloud allows customers to use IBM AI with proprietary data stored in Box to accelerate business processes. In the financial investment and asset management space, QuantumStreet AI provides a comprehensive AI platform embedded with watsonx for professional investors, representing $6 billion in client assets spanning 50,000 publicly traded global companies and asset classes.

IBM’s approach of using smaller models tailored to specific business use cases gives enterprises more flexibility to adopt specific models that run on less expensive infrastructure and deploy in public clouds, private clouds, or on-premises. This helps lower the barrier to entry into AI. premises.

How can you ensure responsible AI innovation in your company?

Today’s business leaders should be asking not just whether to explore AI for their business, but how to leverage it responsibly. When applying AI to the enterprise, there is no room for error. It must be implemented with the right guardrails in place.

A key element of responsible AI is governance. This should be a top concern for every developer, software provider, and enterprise planning to implement AI. That’s why the availability of watsonx.governance was such an important moment for IBM. We provide a toolkit to help companies manage risk, embrace transparency, and anticipate future AI-driven compliance. Partners who choose to use the data can leverage watsonx.data, a purpose-built data store that helps scale AI workloads for any data, regardless of location. A key difference for IBM is our long-standing policy that the data belongs to our partners. Alternatively, many of our partners use watsonx.ai, which includes a series of Granite models (including publicly shared data sources).

Our partners take data use just as seriously as we do. Explore our relationship with Dun & Bradstreet, which combines Dun & Bradstreet Data Cloud with watsonx to help businesses responsibly scale their use of generative AI. Another IBM partner, Boxes, is using IBM watsonx Assistant™ to help retailers gather customer insights and generate reports that shoppers can use to launch new products and provide samples to consumers. Partners like Jaxon.ai are using watsonx-based models to tackle other difficult aspects of AI, such as hallucinations.

I’m proud that IBM can leverage decades of industry leadership, investment, and research in AI to guide our partners through every step of their AI journey. No matter your company’s age, size, shape, or industry, IBM has the right tools and partner programs to help your company adopt and scale AI responsibly.

Start your journey with responsible AI use cases. Include AI in your commercial solutions