The Internet Architecture Board seeks input on AI data control mechanisms: Opting out of AI training data: IAB workshop seeks solutions.
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Ever wondered how to bootstrap generative AI using automated data integration? Look no further – an introduction to the architecture of retrieval-augmented generation (RAG) and how to combine it with Fivetran. Discover more: https://5tran.co/48tR24t #RAG #generativeai #genai
Assembling a RAG architecture using Fivetran | Blog | Fivetran
fivetran.com
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Great article highlighting that many of the advantages of generative AI will simply not be possible without a strong data foundation and Architecture. Traditionally most of the analytics/Insights outcomes were mainly based on structured data. With Gen AI the opportunity to tap into the unstructured data is quite massive for organisations that will know how to structure their data to utilise the various LLMs available.
The data dividend: Fueling generative AI
mckinsey.com
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Databricks x Mistral AI ! Mistral AI’s open models are now natively integrated within the Databricks Data Intelligence Platform To learn more about it👉 https://lnkd.in/dTG7HMB4 #genAI #databricks #mistralAI
Databricks invests in Mistral AI and integrates Mistral AI’s models into the Databricks Data Intelligence Platform
databricks.com
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CREST had the pleasure of hosting Professor Asif Gill for an insightful session on "Adaptive and Secure Data Architecture for AI/GAI adoption in the public sector". 🚀 Big thanks to Professor Asif Gill for enlightening us with his expertise !! Looking forward to future collaborations that will undoubtedly lead to innovative solutions! #dataarchitecture #securedata #ai #genai
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Head of the Software Engineering RDI Unit at LIST. FNR Pearl Chair. Affiliate Professor in CS at University of Luxembourg. Combining modeling, low-code, OSS and AI to make Better Software Faster.
The perfect three-way: #data, data #models and #AI Using the latest ML architectures and ML models is not a competitive advantage. Thanks to platforms like Hugging Face, they are now a commodity. Instead, companies need to turn their attention to the data used for training the ML models. Better data turns into better ML. As simple as this. And data models (including modeling the data #provenance!) are key to understand the data and its quality. So #datamodeling is key for #AI! 🎉🎉🎉 This and other benefits of this three-way in the post below. This reflection is part of the "AI-Driven Software Engineering – The Role of Conceptual Modeling" panel we had at #ICSOFT 2023, organized by Hans-Georg Fill and the participation of Wolfgang Maaß, Marten J. van Sinderen and myself. Link to the full paper summarizing the panel discussions: https://lnkd.in/eH5NrzuP. Paper published at EMISAJ - Enterprise Modelling and IS Architectures - Int. Journal of Conceptual Modeling
The perfect three-way: data, models and AI
https://modeling-languages.com
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Passionate Multi-Unit Leader | Driving Excellence in Retail & Hospitality | People Development | Strategic Planning & Financial Acumen
Dive into the world of generative AI with this fascinating McKinsey article! From figuring out where the real value lies to beefing up your data architecture, ensuring top-notch data quality, and keeping your info safe from the ever-evolving regulations—this read's got it all. Plus, it spills the beans on the talent shift in the generative AI era and how to use AI to supercharge your own data management. Definitely a must-read for anyone riding the AI wave! https://lnkd.in/ggn8cX7e
The data dividend: Fueling generative AI
mckinsey.com
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Vice President at Notch, Enterprise Agile Coach, Agile Transformation Coach, Agile Cloud Service Management
An overview of the body of knowledge on data engineering for AI.
What About the Data? A Mapping Study on Data Engineering for AI Systems
arxiv.org
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What do you need to create #FoundationModels for #GenerativeAI? 1️⃣ Better hardware 2️⃣ transformer model architecture 3️⃣ lots of unstructured data, according to TechTarget. More here: https://hubs.ly/Q02v096S0 #DataScience #AI #Data
Foundation Models Explained: Everything You Need to Know
techtarget.com
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Data continues to grow at an exponential rate and AI algorithms are increasing in complexity. Attend our summit to learn how to take an innovative approach for key AI initiatives by leveraging AI-powered modern data architecture to produce actionable insights. Informatica #AI
AI & Architecture Summit (NA)
now.informatica.com
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Perhaps data, processing power and the model architecture itself could be seen as the three core drivers of an effective AI/ML model. Could data (and how it is sourced and engineered) be the most important differentiator of the three? AI is setting off a great scramble for data from TheEconomist https://lnkd.in/ePMUJcas
AI is setting off a great scramble for data
economist.com
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