Category: Data
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2025 is going to be the year of Agentic RAG
You know about RAG and you have heard about Agents. Here is why 2025 is going to be the year of Agentic RAG. If you’ve been following the Generative AI buzz, you’ve likely noticed that Retrieval Augmented Generation (RAG) has quickly become the most implemented GenAI solution in enterprise settings. RAG is all about combining…
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Should you worry about your Dark Data?
Heard of Dark Data? Your company likely has some, and you don’t even realize it. Let’s talk about how you can actually get value from it. Imagine this … An employee leaves your company, and six months later you’re stuck digging through their email inbox trying to find that one critical file. It takes hours.…
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Edge Computing
What do you do when a split second computer response means the difference between life and death? Short answer, Edge Computing. Not long ago, the idea of self-driving cars felt like science fiction. Today, they’re becoming a reality, rapidly! But here’s the question: how do you trust a car to make split-second decisions that could…
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Quantum computing will be the rocket booster to allow AI to scale to the unimaginable. 🚀
We have all been the situation, searching for a friend in a crowd in a sea of people. A classical computer (and you) would scan the crowd person by person … a real-life game of “Where’s Waldo” that could take forever. Quantum computing, however, is like having infinite versions of yourself checking every person at…
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Is Enterprise GenAI Good Enough?
You’ve subscribed to the enterprise version of an LLM, so you have all the security and controls you need, right? Not exactly. An LLM gateway or acts as a custom-built bridge between your business and the LLM provider. It safeguards and monitors data flow, allowing you to filter and customize outputs, optimize performance, and enforce…
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Hybrid RAG
Hybrid RAG solutions are going to be the next big thing, and here’s why … Organizations have been racing to implement Retrieval-Augmented Generation (RAG) to leverage unstructured data like never before. Imagine having an AI that can tap into your entire knowledge base, pulling up relevant articles, reports, or documents on demand. That’s why RAG…
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What is LOrA?
When it comes to Gen AI, efficiency and adaptability are key. Low-Rank Adaptation (LOrA), is enabling more optimized AI operation. What is LOrA?LOrA is a technique that allows us to adapt pre-trained AI models to new tasks or datasets without the need for extensive retraining. Instead of updating all parameters in a model, LOrA focuses…
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Empowering the Citizen Data Scientist with AutoML
Gen AI is commanding attention, but what about automating traditional machine learning, what about AutoML? Although it has been pushed a bit to the back burner of excitement due to Gen AI, a valuable functionality is now widely available in the industry – Automated Machine Learning (AutoML). Giving rise to the citizen data scientist, it…
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The Rising Value of Vector Indexes for Generative AI
As Gen AI solutions begin to become a common component of data ecosystems, one approach that’s quickly becoming a foundational feature is Retrieval-Augmented Generation (RAG), which combines the power of large language models with external knowledge retrieval. RAG systems work by first retrieving relevant information from a knowledge base (e.g., Wikipedia, corporate documents) and then…
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Data Clean Rooms for Generative AI
Could Data Clean Rooms open new collaborative opportunities with GenAI? This security-centric technology could potentially unlock new use cases. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗮 𝗗𝗮𝘁𝗮 𝗖𝗹𝗲𝗮𝗻 𝗥𝗼𝗼𝗺? A data clean room is a secure environment where different organizations can share and analyze data sets while maintaining strict controls around data privacy and security. The data clean room…