Individuals are racing ahead, seamlessly weaving AI into their daily routines, while enterprises remain bogged down in bureaucracy, silos, and security debates. The result is what we call the "AI Velocity Gap" - a widening divide between AI-empowered employees who move fast and experiment freely, and organizations that are still forming committees to decide what’s safe. In this AI-first era, the real productivity revolution is happening at the individual level, not the institutional one.| Horses for Sources | No Boundaries
Beyond the Buzzwords: Why GTB Secures More Than Just the “Agentic Workspace” Have you seen the cybersecurity news and analyst reports lately? Then you’ve probably seen the headlines about “AI email attacks” and a new term for buzzword bingo: the … Read More The post Agentic Workspace appeared first on GTB Technologies.| GTB Technologies
The holiday shopping season has fundamentally changed. Today’s consumers are more digitally savvy and value-driven than ever before. With market uncertainty and economic pressures, they are often trading brand loyalty for lower prices and have less patience for frustrating shopping experiences. With expectations of a frictionless journey, they will abandon a cart for a competitor’s […] The post Beyond Discounts: How to Convert Holiday Shoppers with AI appeared first on Kibo Commerce.| Kibo Commerce
Ever wished you could just tell your AI assistant to handle your media files? Not just chat about them, but actually upload, transform, search, and| Cloudinary Blog
AI success isn’t just about technology—it’s about a complex network of partnerships. The post To get AI right, you need to build a well-orchestrated AI ecosystem appeared first on Faisal Hoque.| Faisal Hoque
Explore real-world examples of how AI agents are used in customer service, from intelligent chatbots to agent-assist tools and smart self-service options. Learn how these solutions improve efficiency and the customer experience.| Kibo Commerce
Most companies are creating massive security blind spots by forcing AI agents into human identity systems. Shared accounts and static permissions put your digital workforce at risk.| Deepak Gupta | AI & Cybersecurity Innovation Leader | Founder's Journey from ...
AI is transforming how SaaS companies find and convert customers. While traditional companies struggle with 32% conversion rates, AI-native firms hit 56%. Learn how automated GTM agents work 24/7 to spot prospects, track competitors, and optimize revenue—with real results.| Deepak Gupta | AI & Cybersecurity Innovation Leader | Founder's Journey from ...
Most AI agents forget everything very soon. I benchmarked OpenAI Memory, LangMem, MemGPT, and Mem0 in real production environments. One system delivered 26% better accuracy and 91% faster performance. Here's which memory solution actually works for long-term AI agent deployments.| Deepak Gupta | AI & Cybersecurity Innovation Leader | Founder's Journey from ...
Love him or loathe him, let’s be clear… President Trump’s new AI Action Plan isn’t just political theatre, it’s a... The post Trump’s American AI Powerplay: Get on board or get left behind appeared first on Horses for Sources | No Boundaries.| Horses for Sources | No Boundaries
Today’s analysts and advisors love talking about how the speed of AI advancements is turning every industry on its head,...| Horses for Sources | No Boundaries
Six months have passed since our last year-end review. As the initial wave of excitement sparked by DeepSeek earlier this year begins to wane, AI seems to have entered a phase of stagnation. This pattern is evident in Retrieval-Augmented Generation (RAG) as well: although academic papers on RAG continue to be plentiful, significant breakthroughs have been few and far between in recent months. Likewise, recent iterations of RAGFlow have focused on incremental improvements rather than major fea...| ragflow.io
Aren’t you just sick and tired of people waxing on about AI job destruction but clearly assume they are just... The post Stop pontificating about other people losing their jobs to AI and worry about your own job appeared first on Horses for Sources | No Boundaries.| Horses for Sources | No Boundaries
There’s this weird phrase “agentic AI” which looks weid. But it’s a sign for how bad the state of the bubble is: Software agents are a very old concept, they are simple systems provided with a target function to optimize that operate somewhat autonomously. This fits in well with modern “AI” systems who can be […]| Smashing Frames
Microsoft Fabric is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time intelligence, and business intelligence. It offers a n…| Sander van de Velde
Video Interview for Zoho by Jason Bloomberg With the help of agentic AI, Zoho is now positioning its platform as aligning with enterprise concerns – [...]| intellyx.com
Discover a new open source and python based agentic framework where agents can be built using a variety of complementary techniques (state machines, NLP, RAG, LLMs) and talk to each other| Livable Software
OpenAI has introduced Operator, an AI agent capable of autonomously performing tasks via a web browser. Initially available to U.S. users on ChatGPT's Pro plan, Operator automates tasks like booking travel and shopping. While promising, Operator has limitations and requires user supervision for sensitive tasks.| Shelly Palmer
Search technology remains one of the major challenges in computer science, with few commercial products capable of searching effectively. Before the rise of Large Language Models (LLMs), powerful search capabilities weren't considered essential, as they didn't contribute directly to user experience. However, as the LLMs began to gain popularity, a powerful built-in retrieval system became required to apply LLMs to enterprise settings. This is also known as Retrieval-Augmented Generation (RAG)...| ragflow.io
The workflow of a naive RAG system can be summarized as follows: the RAG system does retrieval from a specified data source using the user query, reranks the retrieval results, appends prompts, and sends them to the LLM for final answer generation.| RAGFlow Blog
