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The rise of generative AI and what it means for business

Author Arthur C. Clarke famously said that “Any sufficiently advanced technology is indistinguishable from magic.” But artificial intelligence (AI) is not magic. It’s math and science, and it’s going to touch every aspect of our lives. Let’s examine the history of AI, and explore what the future holds for enterprises considering AI adoption.

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Watch (14:44)
What you’ll learn
  • The history of artificial intelligence (AI)
  • Generative AI and why it's important to business
  • How to put AI to work  
AI is going to touch every aspect of our lives. It will change the world. But how it will change the world is up to us—to all of us. Darío Gil Senior Vice President and Director of Research IBM
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Coming soon Choose the right AI model for your use case Bigger isn’t always better when it comes to AI models. Learn how to find the right fit for your business needs. Then get the guidebook to help you take action. Notify me when available
Track 1 Become a value creator with generative AI Hear the different approaches to applying generative AI – and how an AI platform targeted for your use cases can jumpstart business value. Go to episode page
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In this special live episode of Smart Talks with IBM, Malcolm Gladwell is joined onstage at iHeartMedia's studio by Dr. Darío Gil, Senior Vice President and Director of Research at IBM.
Track 2: Elements of enterprise AI
Select the right AI use case for your business

To optimize your total cost of ownership and ROI on AI, picking the right use case is crucial. Learn top considerations and how existing investments like gen AI, AI and machine learning play a role.

 Is data management the secret to generative AI?

Every conversation starts with generative AI, but ends with data. Why? Because there is no AI without data. Generative AI is changing the way we think about data.

Why foundation models are a paradigm shift for AI

Learn about a new class of flexible, reusable AI models that can unlock new revenue, reduce costs and increase productivity. Then use our guidebook to dive deeper.

 Trust, transparency and governance in AI

Explore issues like AI hallucination, bias and risk, and learn how applying AI ethics and governance builds trust. Then put theory into practice with our guidebook.

Track 3: Putting AI to work
Putting AI to work for talent

Want to turn HR challenges into opportunities? Find out how organizations are using AI to help recruit and develop the talent that fits their business needs.


 Putting AI to work for marketing

Learn how businesses are using generative AI to help them advance their marketing efforts as customer expectations constantly continue to evolve.


 Putting AI to work for customer service

Go beyond virtual chatbots. Learn how generative AI can delight customers and increase productivity. Then download our guidebook to help you take action.

Putting AI to work for application modernization

Business operations evolve over time, and the applications that power them have to keep up. See how generative AI can accelerate the process, and download the guidebook to help you get started.

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