Category: Data
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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…
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Digital Twins … Use of Gen AI for Synthetic Data Creation
Generative AI has been making waves in the tech world, and one of the most promising applications is in the realm of synthetic data creation. But what exactly is synthetic data, and how can generative AI be used to create it? Synthetic data refers to artificial data that is computer-generated to mimic real-world data. This…
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MLOps for Scale: Enablement Beyond POCs and Pilots
The advent of generative AI has ushered in a new era of innovation, disrupting industries and redefining what’s possible. From creative writing to coding and image generation, these models are pushing the boundaries of what artificial intelligence can achieve. However, as exciting as this technology is, its potential can only be fully realized through robust…
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The Rejuvenation of Modern Data Lakes to Support Generative AI
The era of generative AI has ushered in a new wave of innovation and disruption across industries. As these models become more sophisticated and widely adopted, the demand for high-quality, diverse, and well-structured data has skyrocketed. This may have potentially reignited interest in modern data lake architectures, which offer a compelling solution for managing the…