Moveworks’ Post

The dust has settled on the first full day of #QlikConnect and here’s 4 takeaways from me. Obviously AI in everything. But not just scattering generic GenAI everywhere - Qlik Answers has the potential to be a paradigm-shifting product with its LLM+RAG+governance. A really strong Analytics roadmap outside of AI - really pleasing for the vast number of people who use #QlikSense every day. Looking forward to the navigation and organisation improvements particularly. A massive range of things in the #QlikTalendCloud roadmap (mostly Talend-focused) with the new Dynamic Engine at the core. I still need to really see it in action and understand how an average customer might make use of it. And so much of it is coming in the next couple of months - there’s going to be a lot to learn - I love it! #QlikPartnerAmbassador

What's today? 1. Added the share post to other platforms functionality 2. Used Recoil for better state management 3. Added more loaders 4. Improved responsiveness 5. More formatted ai results Live link: https://lnkd.in/gXD4UzdK

DataStax looks to help enterprises escape RAG ‘Hell’ with AI tools update  DataStax debuts a series of tools to improve enterprise RAG including Langflow 1.0, Vectorize and RAGStack 1.0.Read More https://ift.tt/lt9kszD https://ift.tt/jOgQEoF

In this lighting talk, hear from AI expert Gopi Vikranth on how to use the power of AWS to deploy agentic workflows, gen AI for content generation experimentation and on-demand analytics. https://bit.ly/3BSt2gJ #AWSpartner #AWSreInvent https://bit.ly/3BRvAvw

Things we couldn't do a month ago that we can do now - part 2️⃣ 😍 AI augmentation ftw (video from our private AI environment - we built it so we could keep our data secure, pay for AI usage not monthly user accounts, and use the best AI models available from the leading AI companies - we're now building these environments, with lots of bespoke features, for clients) #embeddings #vectordatabase #keywordsearch

We can create smart copilots that can call actions on any api! This means an AI agent that can perform real tasks based on our own data. https://lnkd.in/gDEn9FiZ

#ESPC24 Session - "Building AI Agents with #SemanticKernel" This talk explores AI agent options beyond #RAG and Plugins for handling complex tasks with Bill Ayers, MVP. Find out more: https://lnkd.in/eT4r4zUw

Want to provide support to your users or customers with generative AI and your own data, but have trouble with getting the right responses? 🤔 Build deeper, more relevant retrieval for your technical support chatbot using content-centric knowledge graphs. DataStax’s CTO Ben Chambers explains how this innovative approach simplifies the extraction process and enhances LLM performance via The New Stack.   Read the full article here ⤵ https://lnkd.in/d4GF5K5Y #DataStax #RAGApplications #GenAI #VectorDB

In this lighting talk, hear from AI expert Gopi Vikranth on how to use the power of AWS to deploy agentic workflows, gen AI for content generation experimentation and on-demand analytics. https://bit.ly/3BSt2gJ #AWSpartner #AWSreInvent https://bit.ly/3YmZDD4

"Jevons Paradox" is about the idea that making things more efficient doesn't always mean we use less of them – sometimes we end up using more! Seems that even though each AI task uses less power, because we're using so much more AI overall, we might end up using more total power than before!