Fatih Nayebi

Unveiling the Next Frontier of Retail: Meet Agentic AI

Are you ready for the next revolution in retail? Think of an AI that doesn’t just automate tasks but actually acts with intention, much like a well-trained store manager who’s been in the trenches for decades—observing, planning, deciding, and learning on the fly. That’s the vision behind my upcoming book, Foundations of Agentic AI for […]

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Optimizing Applications, Websites, and Services for Discoverability and Usability by AI Agents

Introduction Imagine you have a new type of user visiting your website or app – not a human customer, but an AI-powered agent. This agent can read, converse, and even take actions on behalf of humans. It’s as if millions of super-smart interns are out there, ready to interact with digital services. Welcome to the

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Assortment Planning and Optimization with Reinforcement Learning

Executive Summary Retailers face complex decisions in assortment planning – determining the optimal mix of products to stock across stores and channels. Traditional methods struggle to account for changing customer preferences, demand uncertainty, and the myriad factors influencing product performance. Reinforcement Learning (RL) offers a data-driven, dynamic approach to optimize assortments in real time. By

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Agentic AI and the Future of Automation

Executive Summary Introduction Business leaders are witnessing a rapid evolution in artificial intelligence (AI) capabilities. What began with simple predictive analytics has advanced through prescriptive and generative AI, and is now entering the era of agentic AI. Unlike earlier forms of AI that mainly analyze data or generate content, agentic AI systems can autonomously make

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AWS re:Invent 2024 Keynote Announcements

At AWS re:Invent 2024, Amazon Web Services (AWS) unveiled a comprehensive suite of advancements across artificial intelligence (AI), cloud computing, data management, and analytics, reinforcing its commitment to innovation and customer-centric solutions. 1. Introduction of ‘Nova’ AI Models AWS expanded its generative AI capabilities by launching the “Nova” series of foundation models: 2. Development of

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Assortment Planning and Optimization with AI

Executive Summary In the rapidly evolving retail landscape, effective assortment planning and optimization are crucial for retailers to meet customer demands, maximize profitability, and maintain a competitive edge. This article presents a comprehensive exploration of an advanced assortment allocation system designed to address the complexities of modern retail. By integrating sophisticated machine learning techniques, modeling

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Decision Making in the Digital Age: Navigating Complexity with Data and AI

In the ever-evolving landscape of the AI age, decision making has transformed significantly. With the advent of advanced technologies and vast amounts of data, organizations are equipped with unprecedented tools to make more informed, precise, and strategic decisions. As we delve into the nuances of decision making in this era, it’s essential to understand the

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Harnessing AI for Decarbonization: A Pathway to Sustainability and Environmental Stewardship

In today’s rapidly evolving world, the interplay between advanced technologies and sustainable practices is more critical than ever. As we face the twin challenges of climate change and environmental degradation, Artificial Intelligence (AI) emerges as a powerful tool to drive decarbonization efforts and support Environmental, Social, and Governance (ESG) goals. This article delves into how

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Trust in the Digital Age: Navigating AI and Information Integrity in Democracies

In today’s rapidly evolving world, technology, particularly artificial intelligence (AI), is reshaping our lives in remarkable ways. But with great power comes great responsibility. In 2024, a year where nearly half of the world’s population will participate in elections, the role of AI in maintaining trust and integrity in our digital age has never been

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Decoding AI with Mathematical Theorems: From Predictions to Neural Networks

Ever wondered how machines learn to play chess, predict the weather, or recommend your next favorite song? The secret lies in a treasure trove of mathematical theorems that provide the backbone for these AI miracles. Let’s decode these powerful principles with engaging examples and see how they apply to our fascinating AI endeavors! Statistical Foundations:

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