Final call! Tomorrow is the day! Don’t forget to register for our latest webinar, “𝗗𝗲𝗺𝘆𝘀𝘁𝗶𝗳𝘆𝗶𝗻𝗴 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗳𝗼𝗿 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻.” on 18th July 2024. Whether you’re a data scientist, technology innovator, enterprise leader, or AI enthusiast, this webinar will enlighten you on the cutting-edge landscape of Generative AI and its impact on Enterprise AI. Hurry up, secure your spot now! Register for Europe Region: https://lnkd.in/gRUk63Nv Register for USA Region: https://lnkd.in/gTKXFpvK Kranthi Kumar Nallamothu (NKK) #GenAI #ArtificialIntelligence #FutureTech #MachineLearning #Innovation #TechTrends #AIinBusiness #EmergingTech #SmartTechnology #EthicalAI #ACLDigital #Webinar
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Learn more about what it takes to be a 10x Data Engineer for AI! At Datavolo, we spend a lot of time collaborating with enterprise users of AI, other software vendors, cloud vendors, and, importantly, leading industry analysts. I've been very impressed with Kevin Petrie, BARC, and Eckerson Group and their ability to understand and distill down key parts of the data and technology stack for modern AI Systems. Looking forward to this collaborative live webinar. Please let me know any topics you want to make sure we cover and we will also have live Q&A in the webinar.
Generative AI demands more than traditional data pipelines can handle. As the variety of unstructured data—from text and imagery to video—grows, understanding how to build and manage advanced, multimodal data pipelines becomes critical. Join experts Kevin Petrie, VP of Research at BARC, and Luke Roquet, COO and co-founder of Datavolo, as they guide you through the essential criteria for evaluating the right tools for these challenges. Learn how to equip your data engineering teams with tools that not only meet the technical demands of generative AI but also enhance data workflow efficiency without becoming a bottleneck. Register here: https://lnkd.in/eP2WFX9D #GenerativeAI #DataPipelines #DataEngineering #DataWorkflow
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Modern AI Systems require a Modern Data Engineering approach. Datavolo exists to help you become a 10x Data Engineer for AI! Register to learn more about the key and unique requirements of data engineering for generative AI!
Generative AI demands more than traditional data pipelines can handle. As the variety of unstructured data—from text and imagery to video—grows, understanding how to build and manage advanced, multimodal data pipelines becomes critical. Join experts Kevin Petrie, VP of Research at BARC, and Luke Roquet, COO and co-founder of Datavolo, as they guide you through the essential criteria for evaluating the right tools for these challenges. Learn how to equip your data engineering teams with tools that not only meet the technical demands of generative AI but also enhance data workflow efficiency without becoming a bottleneck. Register here: https://lnkd.in/eP2WFX9D #GenerativeAI #DataPipelines #DataEngineering #DataWorkflow
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Become a 10X Data Engineer... We are hosting a Webinar that talks through what we are seeing with our customers and how they are addressing it!
Generative AI demands more than traditional data pipelines can handle. As the variety of unstructured data—from text and imagery to video—grows, understanding how to build and manage advanced, multimodal data pipelines becomes critical. Join experts Kevin Petrie, VP of Research at BARC, and Luke Roquet, COO and co-founder of Datavolo, as they guide you through the essential criteria for evaluating the right tools for these challenges. Learn how to equip your data engineering teams with tools that not only meet the technical demands of generative AI but also enhance data workflow efficiency without becoming a bottleneck. Register here: https://lnkd.in/eP2WFX9D #GenerativeAI #DataPipelines #DataEngineering #DataWorkflow
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AI Observability: How to Evaluate and Improve LLM Performance https://lnkd.in/g94YMcGu As AI practitioners, we’re constantly identifying new challenges and solutions to deliver on the promise of Generative AI. In discussions on the topic I often use the phrase, “A powerful engine needs powerful brakes.” to describe the emerging toolkit enabling responsible AI delivery. 🚀 At Evolutio we’ve been actively building for clients, researching, and speaking on this topic. I’m thrilled to announce that I’ll be presenting at the MinneAnalytics Data Tech conference next Friday, June 7, at Best Buy headquarters in Minneapolis! Data Tech is my favorite Data and AI event in the area - shout out to Dan Atkins. 🎉 I’m fortunate to present alongside the amazing Atalia Horenshtien from DataRobot this year. Also excited to see representation from Medtronic, Target, General Mills, Thomson Reuters, among many others, and some truly talented speakers from our local network, including Chris Manrodt and Damien Riehl, whose talks I’ve really enjoyed this past year. For those not in the Minneapolis area: I’m teaching my first AI Observability Live Course for O'Reilly on June 12! Join me for a deeper dive into practical frameworks for building AI-driven applications. 👨💻 https://lnkd.in/dJSuUh2m Have you faced any new challenges building GenAI applications? How are you monitoring your production GenAI applications? Let’s discuss in the comments! 💬 #AI #AIObservability #GenerativeAI #DataTech #MinneAnalytics #llmops #AIConference #OReilly #DataScience #MachineLearning #ResponsibleAI
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Low code AI is transforming the landscape for non-data scientists, offering a multitude of benefits. It streamlines AI development and deployment, slashing time and costs while removing the need for extensive coding, testing, and maintenance. With lower technical and skill requirements, it enhances accessibility and usability. Leveraging pre-trained models boosts performance and accuracy, fostering innovation. Moreover, it fosters collaboration between non-data scientists and data scientists, creating a common ground for AI development. Join Netwoven to delve deeper into this exciting field. #AI #LowCodeAI #ArtificialIntelligence #netwoven Craig Tobey
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Despite the AI hype, less than 10% of companies have generative AI in production. Many are cautious yet see both challenge and opportunity in this emerging technology. Join the Alteryx Virtual Summit to sift through AI noise and gain trusted advice. Learn how to adopt AI successfully with a business-driven approach from expert panels: 💡 Steve Nouri, global AI thought leader, on evaluating your data stack for AI readiness. 🎸 Meghan Gohil from Fender Guitar on involving business users at every AI stage. 🧱 Ari Kaplan, Head of Evangelism at Databricks, on addressing infrastructure issues in AI adoption. 💻 Howard Dresner, Dresner Advisory Services, on governance strategies for AI democratization. ⌚️ Heather Harris, Field CDAO at Alteryx, on leveraging AI for enhanced data analytics. Register: https://ow.ly/F1qJ30sCgFF #GenAI #ArtificialIntelligence
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Despite the AI hype, less than 10% of companies have generative AI in production. Many are cautious yet see both challenge and opportunity in this emerging technology. Join the Alteryx Virtual Summit to sift through AI noise and gain trusted advice. Learn how to adopt AI successfully with a business-driven approach from expert panels: 💡 Steve Nouri, global AI thought leader, on evaluating your data stack for AI readiness. 🎸 Meghan Gohil from Fender Guitar on involving business users at every AI stage. 🧱 Ari Kaplan, Head of Evangelism at Databricks, on addressing infrastructure issues in AI adoption. 💻 Howard Dresner, Dresner Advisory Services, on governance strategies for AI democratization. ⌚️ Heather Harris, Field CDAO at Alteryx, on leveraging AI for enhanced data analytics. Register: https://ow.ly/Bfvc30sCzxe #GenAI #ArtificialIntelligence
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Despite the AI hype, less than 10% of companies have generative AI in production. Many are cautious yet see both challenge and opportunity in this emerging technology. Join the Alteryx Virtual Summit to sift through AI noise and gain trusted advice. Learn how to adopt AI successfully with a business-driven approach from expert panels: 💡 Steve Nouri, global AI thought leader, on evaluating your data stack for AI readiness. 🎸 Meghan Gohil from Fender Guitar on involving business users at every AI stage. 🧱 Ari Kaplan, Head of Evangelism at Databricks, on addressing infrastructure issues in AI adoption. 💻 Howard Dresner, Dresner Advisory Services, on governance strategies for AI democratization. ⌚️ Heather Harris, Field CDAO at Alteryx, on leveraging AI for enhanced data analytics. Register: https://ow.ly/1aAN30sClpe #GenAI #ArtificialIntelligence
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Join this webinar for an insightful conversation with two powerful speakers on a highly timely topic: the interconnection between data and AI—two prominent forces that shape our daily lives. Sign up today.
Data is the lifeblood of AI. 🩸 Join us as Chaya Pamula and Laura Glotzbach dive into how to harness its power. 💡 The Outlet 26 free webinar will explore the critical role of data analysis, orchestration, and visualization in building cutting-edge AI solutions. Don't miss this opportunity! Register now! 🔗 https://lnkd.in/gzEASkEy SheTek is supported by the SheTek Power Team: Chaya Pamula Prasad Tenjerla Kristin Malek Michele Siekerka, Esq. Judith Sheft Monica Adya Sally Nadler, SPHR TERRY VOLDASE Maria Fiorini Ramirez Anusha Kakani Niharika Singh Yelena Bekker. Stacey Stewart Dr. Lan Nygren #Shetek #DataDriven #AIWebinar #DataAnalysis #DataVisualization #MachineLearning #AI #DataOrchestration #TechTalk
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🎥 Watch this on-demand webinar: "Mastering synthetic data generation” 🚀 ⭐ Explore 4 leading methods for generating synthetic data, including generative AI and rules engines ⭐ How entity data modeling ensures synthetic data validity ⭐ The synthetic data generation lifecycle ⭐ Synthetic data pitfalls and how to overcome them 📹 Watch now: https://lnkd.in/eGjzuz9R 🌐 Don't miss this opportunity to unlock the potential of synthetic data for your enterprise. #syntheticdata #data #machinelearning #generativeai
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