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Stansberry Research द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Stansberry Research या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal
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Don't Fear Generative AI – Invest In It

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Manage episode 450854110 series 1451365
Stansberry Research द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Stansberry Research या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal

On this week's Stansberry Investor Hour, Dan and Corey are joined by Dr. John Sviokla. John is an author, executive fellow at Harvard Business School, and co-founder of GAI Insights – the world's leading generative artificial-intelligence ("AI") analyst firm. He joins the podcast to talk all things AI – its investing potential, limitations, and real-world applications.

John kicks off the show by explaining how GAI Insights is helping organizations and communities understand and use generative AI. Currently, many executives don't know enough about it to even recognize its opportunities in the workplace. John says that workers whose jobs involve words, images, numbers, and sounds will be the most impacted by this technology. He also breaks down the three new forms of capital: network, behavioral, and cognitive. When it comes to the latter, businesses are trying to protect their proprietary data and processes today by keeping their AI behind firewalls. (1:46)

Next, John talks about how these AI models are trained, the process of training workers to use AI, and the limitations of AI. One such area AI struggles with is creating new ways to look at a problem. However, it's surprisingly good at empathizing and mimicking human emotions. John then discusses AI's computability, the transformer algorithm, and how AI could impact the broad market. (19:11)

Finally, John describes the four levels of generative-AI adoption. Those in the top level – "intelligence leveragers" – drive value by using AI to build AI. Right now, technology is the only industry with these kinds of companies. But John says that in the next five to seven years, each major industry will have an intelligence leverager. This presents a huge opportunity for investors. John gives several real-world situations across different industries (like pharmaceuticals and financials) where AI implementation will be game-changing. (40:35)

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392 एपिसोडस

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iconसाझा करें
 
Manage episode 450854110 series 1451365
Stansberry Research द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Stansberry Research या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal

On this week's Stansberry Investor Hour, Dan and Corey are joined by Dr. John Sviokla. John is an author, executive fellow at Harvard Business School, and co-founder of GAI Insights – the world's leading generative artificial-intelligence ("AI") analyst firm. He joins the podcast to talk all things AI – its investing potential, limitations, and real-world applications.

John kicks off the show by explaining how GAI Insights is helping organizations and communities understand and use generative AI. Currently, many executives don't know enough about it to even recognize its opportunities in the workplace. John says that workers whose jobs involve words, images, numbers, and sounds will be the most impacted by this technology. He also breaks down the three new forms of capital: network, behavioral, and cognitive. When it comes to the latter, businesses are trying to protect their proprietary data and processes today by keeping their AI behind firewalls. (1:46)

Next, John talks about how these AI models are trained, the process of training workers to use AI, and the limitations of AI. One such area AI struggles with is creating new ways to look at a problem. However, it's surprisingly good at empathizing and mimicking human emotions. John then discusses AI's computability, the transformer algorithm, and how AI could impact the broad market. (19:11)

Finally, John describes the four levels of generative-AI adoption. Those in the top level – "intelligence leveragers" – drive value by using AI to build AI. Right now, technology is the only industry with these kinds of companies. But John says that in the next five to seven years, each major industry will have an intelligence leverager. This presents a huge opportunity for investors. John gives several real-world situations across different industries (like pharmaceuticals and financials) where AI implementation will be game-changing. (40:35)

  continue reading

392 एपिसोडस

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