Scott Hebner on Causal AI: The Next Step in Solving Complex Business Problems

Scott Hebner, an experienced AI analyst and former IBM executive, brings a wealth of knowledge on the rapidly evolving field of artificial intelligence. After transitioning from a corporate role to advisory work, Hebner has focused on how AI is transforming industries, particularly small businesses. He highlights the shift from traditional predictive AI models to powerful generative AI tools that are democratizing access to cutting-edge technology. Small businesses, in particular, are benefiting from AI’s ability to streamline operations, improve decision-making, and increase productivity, leveling the playing field with larger enterprises.

As AI continues to evolve, the next big leap is goal-oriented AI agents—systems that autonomously pursue objectives and solve complex business problems. Hebner emphasizes how businesses must adapt quickly to this fast-paced development and invest in AI talent to stay competitive. The demand for skilled AI professionals is growing, but the supply is lagging, creating an urgent need for investments in education and training to build the workforce of the future. The intersection of AI and decision-making is also transforming industries, with causal AI emerging as a powerful tool for understanding cause and effect in business scenarios.

To stay up-to-date on the latest AI trends and developments, follow Scott Hebner and explore theCUBE Research newsletters for in-depth and expert insights on the cutting edge of AI and technology. 

Whether you're a small business owner or a tech enthusiast, these resources are a great way to stay informed and ahead of the curve in the AI revolution.

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