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Data for AI: Not Just Volume, But Variety, Veracity, Velocity & Value! Join the Enterprise Dreamin group to learn about AI and Watch the webinar recording: https://lnkd.in/grzpTZHz. PS: Huge Shoutout to Anand B Narasimhan from S-Docs for joining us at Enterprise Dreamin and sharing his thoughts. Follow him to learn more about document automation, AI, architecture, and more! #AI #DataScience #DataManagement #DataQuality #RealTimeData #enterprisedreamin

“The transformer – Gen AI”, was a very interesting keynote by Gamze Cavusoglu Ergun. During this session, we have highlighted how Generative AI will transform our businesses, bringing economic value and efficiencies across various industries and functions. We have also talked about the significant impact of Gen AI on data architecture and modeling and how implementing Gen AI use cases can automate and monetize our businesses. #AIMaturity #GenerativeAI #MachineLearning #DatalyticsDubai24 #AITransformation

🚀 Dive into the powerful integration between Dataiku and Databricks! Join us Thursday for an interactive demo where you'll explore Dataiku's intuitive interface and leverage Databricks' latest Mosaic AI #LLMs with Dataiku’s #GenerativeAI features. Register now👉 https://bit.ly/3PsywCJ #EverydayAI

👀 Looking to better understand how Dataiku and Databricks work together? 🚀 check this out! https://lnkd.in/e3s2AezU In this interactive session you will discover how Dataiku can work with data housed in Databricks, leverage Dataiku’s extensive MLOps capabilities on Databricks models, and make connections to and use Databricks’ latest Mosaic AI LLMs with Dataiku’s Generative AI features! sign up below! Chris Harrison Matt Ovenden Sofian Benali Rita Golub Maria Pere-Perez Riley Maris

Excellent course from DataBricks! They have one of the best GenAI end-to-end life cycle visions on a well-integrated platform. #genai #generativeai #databricks #alteryxfanalytics

🤖 Mailbutler's AI 101 Series 📣 Have you ever wondered where the power of AI is actually located? The "location" of an AI depends on the architecture and deployment strategy used. #AITools #AI101 #AIEducation 

Data science and IT leaders driving AI face pressure to innovate while adapting their organizations’ current data science and AI practices. To help them, Domino Data Lab is proud to offer a complimentary BARC study, "Optimizing Your Architecture for AI Innovation," that answers: Download this study to navigate your organization towards AI excellence and value creation. https://lnkd.in/gHiE8Hvf #AIReadiness #AIInnovation #DataScience

Every Friday, we are introducing Pi AI Weekly Trends #3! Our new weekly feature brings you the latest AI tech to keep you ahead. This week, we highlight: ➡ Machine Learning Operations: Overview, Definition, and Architecture: https://pischool.link/36q ➡ MLOps Landscape in 2024: Top Tools and Platforms: https://pischool.link/lgq ➡ MLOps zoom camp: https://pischool.link/9td MLOps focuses on automating the ML lifecycle. By creating a robust infrastructure, you can launch experiments much faster and more structuredly. Our Machine Learning Scientist, Marcello Politi, selected these links for you. Was this helpful? Let us know by liking and sharing! #MachineLearning #DeepLearning #MLOps #PiAIWeeklyTrends

I’ve been fortunate enough to have a front-row seat in bringing not one, but two, truly disruptive technology products to market. They're a rare breed because these technologies and products solve really hard problems, and in a way that offers at least a 10X or better price/performance compared to alternatives. When you see one and recognize its potential, it doesn't just put a smile on your face, but actually gets your heart pumping faster 🙂. That's how I felt when I first saw the prototype of FeatureByte Copilot! That's how our early customers felt when they saw the demo. I could see them doing a double-take and hear the excitement in their questions. What we announced today is the culmination of months of hard work and innovation from the FeatureByte team, building on Xavier's, Kenny's and Sergey's innovations, and our vision to radically simplify the hardest part of the AI lifecycle -- data preparation and management. FeatureByte Copilot leverages #genai to automate tasks that were fundamentally reliant on human experts -- understanding semantics of the data and using those semantics to ideate features for a data science use case. It enables data scientists to go from raw data to fully managed and governed AI data pipelines in minutes, compared to months that the process takes even for experienced data science and engineering teams. And the FeatureByte platform does so at 1/5th of the cost of legacy alternatives. Now that is disruptive and game changing! I fully expect FeatureByte Copilot to change the way data science is done, by offering a teammate that does the unsexy work for data science and ML engineering teams. And in the process, accelerate and scale enterprise AI. Please come and check it out and let us know your thoughts: Take a tour of the product through this video demo: https://lnkd.in/eSSyWyuN Join us for a live demo webinar: https://lnkd.in/ePeYxJzy Read Xavier's blog: https://lnkd.in/eq7tRB5J Download the white paper: https://lnkd.in/es_EACKA And kindly spread the word! 🙏 Thank you Yung Siang, Sen Bong, Yanhui , Colin, Hanna, Jevon, Chester, Stephen, Jerome, Yeow Chuan, Warni! #featureengineering #genai #machinelearning