Belle AI Unveils Next-Gen Like4Like Analysis for New Product Forecasting

Global Economic Press

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Understanding the Elegant Math Behind Modern Machine Learning 1:14:43

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Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying math that powers modern machine learning to help everyone grasp this technology impacting our lives, even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…

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In this episode of Global Economic Press, Alex Brady discusses a groundbreaking development in the retail industry brought forth by Belle AI LTD. The company has introduced an innovative tool called Like4Like analysis, which aims to revolutionize the forecasting and planning of new product launches. This advanced tool leverages artificial intelligence to tackle the challenge of predicting the performance of products without historical data, a critical aspect in the competitive retail environment. Belle AI's solution promises to enhance forecasting accuracy for new items from the industry average of 40 percent to approximately 87 percent, offering a significant improvement in precision and reliability.

Belle AI's Like4Like analysis goes beyond traditional methods by utilizing smart pattern recognition and user-friendly dashboards to transform new product planning. This innovation allows planners and buyers to focus on actionable opportunities, optimizing initial stock levels and maximizing the success of product launches. Early adopters of this tool have reported substantial improvements in forecasting, inventory optimization, and trend detection. By replacing guesswork with data-driven insights, Belle AI empowers retailers to navigate the complexities of modern markets with confidence. For more information about Belle AI and their transformative solutions, visit their website at Belle AI LTD.

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