The Latest in Data and AI
Category: Generative AI
Connecting AI Agents to Microsoft Fabric with GraphQL + MCP
TL;DR: Microsoft Fabric’s built-in API for GraphQL plus the Model Context Protocol (MCP) let organisations safely attach conversational AI agents to the organisation’s canonical data estate, delivering faster business insights, shorter time-to-value, and governed automation. For CIOs, this is less about one off experiments and more about a repeatable platform pattern: Unified data (OneLake) →…
How to use AI in Customer Support for Retail
AI is transforming the processes across retail from logistics to Customer Experience. There are plenty of articles covering all these various use cases, an admirable task but I feel there is a shortage of actual discussion around actual actionable strategy for decision makers that want to integrate AI into retail. Today we will do a…
Training AI: A Comprehensive Guide to RAG Implementations
Introduction Imagine asking a question and getting an answer that feels like it came from an expert who just did their homework—scouring the latest research, diving into relevant documents, and then crafting the perfect response. That’s the power of Retrieval-Augmented Generation (RAG). At its core, RAG combines the best of two worlds: the creativity and…
Transforming Healthcare with AI in 2025
Key Takeaways from IDC’s 2024 AI Opportunity Study The healthcare sector is undergoing a seismic transformation, with AI emerging as a linchpin for progress. According to the IDC 2024 AI Opportunity Study, AI adoption in healthcare is not just accelerating—it’s reshaping how organizations deliver care, manage operations, and innovate. This article explores the critical trends…
The Future of Intelligent Automation: Lessons from IDC’s 2024 AI Trends
Intelligent automation is emerging as a cornerstone of digital transformation across industries, and the IDC 2024 AI Opportunity Study highlights its expanding role in driving efficiency, scalability, and innovation. Organizations are increasingly integrating AI and automation technologies to streamline processes, reduce operational bottlenecks, and improve customer experiences. 1. Automation Beyond Routine Tasks Modern intelligent automation…
UX: The missing ingredient to AI Adoption
In the race to integrate AI into businesses, many leaders focus on state-of-the-art language models, advanced prompt engineering, and fine-tuned Retrieval-Augmented Generation (RAG) systems. While these are undeniably crucial elements, there’s a factor often overlooked—User Experience (UX) Design. The most powerful AI tool will fail to deliver impact if users don’t integrate it into their…
Training AI with Prompt Engineering
Generative AI has become an indispensable tool for businesses, but unlocking its full potential relies on a key skill: Prompt Engineering. In this article, we’ll explore what it is, why it’s essential, the techniques you need to know, and the tools that can make you a pro. Defining Prompt Engineering At its core, Prompt Engineering…
How to Train AI Using Your Company’s Data
Generative AI is the perfect tool to boost productivity and enable robust process automation in your organization. However, many companies are hesitant to adopt it due to concerns around security and compliance. In this article, we’ll explore how to “train” LLMs on your company’s data, progressing from least technically complex and cost-intensive to more advanced…
Beyond The Jargon: Semantic Search (PDF)
Ready to unlock the true power of understanding in the digital world? Join us on this journey to discover how semantic search can transform your business by understanding the intent and context behind your searches. From improving data retrieval to boosting customer insights, semantic search is a game-changer for informed decision-making and operational efficiency.
