Category Archives: Uncategorized

Chat is overhyped, GenAI not: The Rise of Autonomization

At the start of this is a simple and yet perennial CEO question: “My gross-margin got hammered. Why did my gross margin decline, and what actions should I take?” The complexity of modern enterprises means the answer is seldom straightforward, … Continue reading

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The History and Evolution of Automation Redefined by AI Technologies

At its core, automation enables systems, operations, or mechanisms to function independently without direct human intervention. Pursuing this concept has shaped technologies, transformed industries and economies, and left a significant mark on the labor force. From the early gears of … Continue reading

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LLMs: Navigating the Hype and embracing realistic Expectations

Last year Large Language Models (LLMs) took center stage, signaling a new era in technology and innovation. This transformative wave wasn’t just a blip on the radar for tech aficionados; it became a pivotal focus for Chief Information Officers and … Continue reading

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Another Perspective on AI-Predictions

As we navigate the ever-evolving AI landscape, bold predictions about its immediate and long-term impacts have become increasingly commonplace. The start of the year, in particular, brings forth a flurry of these prediction posts. While these forecasts often swing between … Continue reading

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2024 – Transformation & Stabilization

Welcome to another year of transformative change and surprising stabilization and consolidation Following the pattern of massive change in 2022 and the linear progression of these changes in 2023, the year 2024 is likely to be characterized by both transformative … Continue reading

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4 practical Enterprise level Applications of Retrieval Augmented Generation

In previous discussions, we extensively explored the multifaceted world of Retrieval-Augmented Generation (RAG) – a paradigm that synergistically combines the prowess of information retrieval with natural language generation to produce more informed and contextually rich responses. The series delved deep … Continue reading

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10 Essential Considerations for Constructing a Retrieval Augmented Generation (RAG) System

It has been claimed, that to create the ultimate Retrieval Augmented Generation (RAG) Stack, all one needs is a plain vector database, a touch of LangChain, and a smattering of OpenAI. Here are the 10 essential considerations when delving into … Continue reading

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A better Approach to the Myth of Easy Solutions – Part 2

Last Sunday, I delved into the often misconceived notion of a seemingly easy recipe for a Retrieval Augmented Generation (RAG) solution. Many seem to believe it’s as straightforward as combining a vector database, a sprinkle of LangChain, and a dash … Continue reading

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The Myth of Easy Solutions: Why it’s worth looking beyond Vector Databases, a bit of LangChain and an LLM

In the grand tradition of the tech industry, I currently see a number of folks jumping onto the latest bandwagon without a seatbelt. And a number of riders are about to fall into the trap of believing that the latest … Continue reading

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SquirroGPT: A New Dawn in Enterprise GPT Solutions

In today’s saturated marketplace, there is a cacophony of voices and solutions. Navigating this noise demands differentiation that delivers value. SquirroGPT offers exactly that. Here’s what sets the solution apart: Three Pillars of Excellence: At the core of the offering … Continue reading

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