Hasura

Imagine a world where your data isn’t fragmented, but seamlessly accessible across your organization. Where building AI-driven apps and APIs is effortless, and governance and compliance are built-in from day one. 🌐 This isn’t just a dream—it’s the promise of a universal data access layer, and it’s a game-changer for enterprise data strategy to enable AI. Join us for a live workshop and demo session where we’ll walk you through: 🔑 Practical data access strategy: Inspired by an ideal universal data access layer design with no limits and constraints. 🤖 AI enablement strategies: How to architect an AI-ready data platform using approaches like agentic data access and semantic data annotations. 🛡️ Robust Governance: Ensuring security, compliance, and operational efficiency through robust access control and governance frameworks. 📈 Data Quality Feedback Loops: Leveraging data quality metrics to drive iterative improvements and AI/ML alignment. ♻️ Virtuous Data Cycles: How a data access layer fosters sustainable progress, allowing you to act today without waiting for a perfect setup. This session is packed with practical insights, actionable frameworks, and real-world examples to help you take incremental yet impactful steps toward unifying your enterprise data—and enabling AI innovation across your organization. 📅 Save your spot now ➡️ https://bit.ly/3BEWuH9

🚀 New in Hasura Data Delivery Network: Extend your #API with custom logic using our new Plugin Framework! 🎉 Create plugins in any language with pre-parse & pre-response hooks to influence API flow. Learn More: https://lnkd.in/gvGkSpTw

💡 #GraphQL Subscriptions are here in Hasura Data Delivery Network! 🎉 Easily add real-time features to your apps. Just connect your data source, and subscriptions are enabled on all models by default. 🚀 Try it out today! Learn more: https://lnkd.in/g4UZdXA6

We’ve all been there: deploying AI assistants that seem promising at first, only to hit roadblocks like lengthy development cycles, inconsistent results, and users losing trust after a few wrong answers. Join us for an live webinar on 9th Jan where we’ll introduce you to PromptQL – a revolutionary approach that addresses these challenges head-on by making AI assistants more reliable, transparent, and consistently accurate. Through live demos and real-world examples, we’ll show you how to build AI assistants that are: ✅ Transparent ✅ Steerable ✅ Verifiable ✅ Repeatable Save your spot now and join us live ➡️ https://bit.ly/3DpAYH5

When combining data across domains (like matching sales with inventory), new quality requirements emerge that source teams couldn't anticipate. In this in-depth post, Ken Stott explains how enterprises can build high-velocity data quality feedback loops to mitigate this challenge. He covers: • Why point-of-delivery validation is critical • How to build automated feedback loops • A practical implementation guide with open-source code Check it out ➡️ https://bit.ly/3BAaZfm

Join us tomorrow (Dec 12) for a special edition of our Community Call This episode is all about building AI assistants with PromptQL Check out the agenda and register here ➡️ https://bit.ly/4fbYVPk

You can't spell Holiday without without AI Join us 👉 https://bit.ly/3DkR8RK

Building #AI agents? Curious about the real-world challenges enterprises face? Our very own Anushrut Gupta is diving into it all during the panel discussion at the AI in Production + AI Agents Panels & Demos event today in San Francisco hosted by Yujian Tang at the Airbyte office. 🎟️ Details & RSVP: https://lnkd.in/gfBjsehK

Exciting updates for PromptQL coming at Thursday's Community Call (Dec 12): ⚡️ Explainability: Understand your assistant's query plans step-by-step. 📊 Extract(): Expand PromptQL's data processing—turn unstructured data into clear, structured output. 🌐 Make Assistants Public: Share PromptQL assistants with project/user token limits for control. 📱 Mobile Playground: Build and use assistants on your phone. Don’t miss it. Register now ➡️ https://bit.ly/4fbYVPk

This month’s Community Call is all about how PromptQL can unlock your data's potential to build powerful AI assistants! 📅 Join us on Dec 12 for an exciting agenda: 🆚 PromptQL vs. Salesforce Einstein: How they stack up as AI assistants on Salesforce data. 🪄 4 new PromptQL features that let you build assistants that are transparent, have advanced data processing, and more! 🏗️ Building AI assistants on diverse data using PromptQL—like a personal finance assistant and a health assistant using Apple Health + AI. Register ➡️ https://bit.ly/4f2HYqk