Cassie Kozyrkov on LinkedIn: Registration is now closed for my new Maven course: Developing Your AI… | 14 comments (2024)

Shoutout to Snack Prompt and Eder Teixeira. Finally a ground-up application built specifically to manage prompts and documents across multiple LLMs. If you are an Ai power user, check out their new demo below. Excited for this thing to hit the market later this year💥 https://lnkd.in/ed4MMczU

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In case you missed the news, we previewed a feature coming soon to our Connector Builder!Take a look at our new Connector Builder AI and how it will help you create API connectors in minutes.https://lnkd.in/gyA8MEXt

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Four key things you'll learn at Activate:1) How to understand and design a data supply chain that fuels your organization and empowers decision-making.2) Best practices and starting points to refine your unstructured data.3) See practical examplesof AI and meaningful data at work.4) Turn the promise of modern technologies into practical reality by seeing real case studies focused on automation & AI.Register for free here:https://lnkd.in/e9thiPxE

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🛠️ Build end-to-end AI applications with ease! ❄️ Join Snowpark Day on July 30th to learn how Snowflake's Snowpark's flexible runtimes and managed services simplify AI development. Register here 👉 https://hubs.ly/Q02GYVSy0

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Curious about the transformative trends shaping AI-driven business operations? We've got you covered. From automation to predictive analytics, these insights are a must-read for anyone navigating the rapidly evolving landscape of AI 👉 https://ow.ly/5bCi50R69WS#productmarketing #GTMStrategies #InnovationStrategy

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During Tableau Pulse's pilot phase, its development team faced a unique challenge: Scale processing from 500 to 20,000 email digests per day while integrating AI/ML capabilities. Explore how they overcame those obstacles to provide real-time, AI-powered insights to customers:

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During Tableau Pulse's pilot phase, its development team faced a unique challenge: Scale processing from 500 to 20,000 email digests per day while integrating AI/ML capabilities. Explore how they overcame those obstacles to provide real-time, AI-powered insights to customers:

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Do you want to know how other localization companies and client-side departments are using AI? Take our survey below and share what you're doing to get a free copy of the report!

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If you're content is less structured than your data, what are you going to do when you need to leverage it like your data?GenAI is just one of the many approaches we're going to see for AI systems over the next decade. I wonder how much consideration teams are giving to this fact when architecting systems around AI.More specifically, are these teams considering that future AI technologies might consume content and information inputs differently than GenAI does today? Data I'm less concerned about. Most teams that are building AI systems on the backs of their proprietary data already have that data structured and well managed, b/c they have to.

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Join my second workshop with Strategic Consortium of Intelligence Professionals (SCIP) tomorrow! 👀 AI Governance reimagined: Learn how to build AI products that will delight your customers. ✍️ With hands-on exercises to help you immediately start AI Governance journey in your organization. 👇 Registration link in the comments.

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