Note on Generative AI for Business Students Andrew Rashbass Ramon CasadesusMasanell Jordan Mitchell
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In early 2019, we announced that we would be making available for a limited time a “note” on the subject “Generative AI for Business Students”. Since then, we’ve published 35 articles in this space, and today we’re adding to it the note from the founders and CEOs of IBM Watson’s Artificial Intelligence Research Group — Andrew Rashbass and Ramon Casadesus-Masanell — and me, Jordan Mitchell. As with our other notes, we’ll also add some personal comments and
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Generative AI is a term for a new technological frontier, not yet fully understood and its applications, still, wide open. With the emergence of Deep Learning and the increasing sophistication of the deep learning frameworks, there is more research and development going on these days. Now, I will briefly introduce Generative AI. Click Here Generative AI uses deep learning to generate human-like outputs based on given inputs. It learns from massive amounts of data to create new content, with the purpose of generating realistic and high-quality images, videos, text
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I recently wrote an essay about Note on Generative AI for Business Students (a great course by Andrew Rashbass and Ramon Casadesus/Masanell Jordan Mitchell). I loved the course, and I’m glad to recommend it. Title: Case Study: The Success of AI-powered E-commerce Platforms The digital economy has revolutionized the way businesses operate, and one of the notable developments is Artificial Intelligence (AI). AI is automating various functions within businesses to streamline
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The power of AI (Artificial Intelligence) to improve human life can’t be denied. In 1950, one of the most famous stories in the field was “I Robot” by Isaac Asimov, in which a robot was judged human. It’s one of the greatest literary works, and now you might wonder how robots could be judged human? That’s the point: this power exists, but for a while, it will be hard to find the right words to express it. The term “Generative A
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Generative AI in business is the technology that allows businesses to produce creative solutions and services for their customers. It is an exciting time for businesses that have previously seen a decline in sales due to competition. However, with Generative AI, businesses can now create new products and services, often without the need for external development. Generative AI allows for a faster development time, reduced costs, and increased customer satisfaction. It also has the potential to improve customer experience through personalized solutions. Here are some of the benefits of using Generative AI
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– Abstract: Generative AI in business: its role in predictive analytics and customer segmentation in retail – Keywords: AI, predictive analytics, customer segmentation, retail – Background: The increasing presence of machine learning in many domains, including retail, provides a chance for AI to take on important roles. AI can perform a wide range of tasks, from recognizing faces in images to creating custom music from voice commands. In the context of retail, AI has been deployed for predictive analytics and customer segmentation.