Perspectives on Enterprise AI – Episode Three: AI Agents. Are they enterprise ready?

In this episode on "AI Agents. Are they enterprise ready?", Atul discusses the intriguing world of AI agents. We'll explore how ExperienceFlow.ai's Enterprise Digital Nervous System (EDNS) and Reinforcement Learning (RL) based intelligent agents are revolutionizing dynamic business environments. Atul shares insights on the differentiation of AI agents, the significance of intelligent decision-making, and the practical application of these technologies in enterprises.

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Not All “AI Agents” are Created Equal

As AI technology and terminology establish roots in enterprises, more and more automation solution providers are adding the word “AI agents” to their legacy solutions architecture, and in most cases, these are “wrapper agents” that leverage results from GenAI/LLM solutions....

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Perspectives on Enterprise AI – Episode Two: Data Rivers, Lakes and Oceans

Welcome to the second episode of our "Perspectives on Enterprise AI" series, presented by ExperienceFlow.AI. In this installment, "Data Rivers, Lakes, and Oceans," Brent Haley is joined by Atul Bhatnagar, CEO of ExperienceFlow.AI. They discuss the critical role of data in the AI-driven future, from managing data silos to leveraging expansive data lakes and oceans.

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Perspectives on Enterprise AI – Episode One: Defining AI

This is the first video in our series designed to help you understand the key aspects of Enterprise AI. Join us every other week as we explore the implementation and deployment of AI in business enterprises, ensuring it is done safely and securely. Guest: Atul Bhatnagar, CEO, ExperienceFlow | Host: Brent Haley, Marketing Advisor, AI & Automation.

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Artificial Decision Intelligence – The Next Source of Productivity Gains for Operations

Artificial intelligence is synonymous with a variety of algorithm-based tools that leverage technology to do the mundane tasks historically performed by staff members. But with those tools the process of interpretation and decision-making still rests on people. Artificial Decision Intelligence (ADI) closes this human intervention gap by automating the decision analysis and what-if planning usually performed by staff.

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Decision Intelligence A.I. – The Next Low-Cost Region!

For the past several decades operation teams have sought getting their work done by leveraging the lower salaries and cost structures provided by working in parts of the world where wages are comparatively low. This push for efficiency moved call centers, back-office work and most of the world’s supply chains to developing nations such as Mexico, Eastern Europe, and China. Now, these strategies have come into question.

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