Liz Brier-Rosenfield’s Post

There was a whole lot of talk about GenAI at the Snowflake and Databricks Summits this year, but don't be fooled – the star of both shows wasn't actually the flashy LLM demos. It was data enablement. The announcements that made the biggest splash this year were the ones that focused on the new ways Snowflake and Databricks customers can enable data for a given use-case. The features that will help them get the right tools in place to deliver structured, governed, and reliable data into a modern data platform. So what were these announcements? We compare and contrast the events to understand the biggest news, what it says about the state of the data industry, and why data will always be the star of AI. Check it out: https://lnkd.in/eYA3kCEb #GenAI #DataCloudSummit #DataAISummit #dataquality #dataenablement

Impressive Snowflake BUILD conf! Major advancements have been unveiled in bringing native AI to data ❄️ Significantly expands the breadth of workloads, especially with unstructured data! Before: Data Snowflake + external model + viz layer After: Data + inline AI + Streamlit (all 3 on Snowflake) #snowflake #snowflakebuild #generatieveai #snowflakedatacloud

As GenAI keeps capturing mindshare and organizations continue experimenting with #promptengineering and #RAG to build custom chatbots trained on their data, with security and privacy (owning the model and the data), I keep getting the big Q - "how hard is it do build a production ready GenAI model with Databricks?". Our own and awesome Jason Drew put together a quick workflow and demo of the end-to-end process. Check it out below! If you want to learn more, we're here to help! #databricks #data #ai #genai #vectorsearch

Struggling to get your GenAI proof of concept into production? Come along next week in London to hear me talk about how Databricks can empower you to productionise your GenAI use cases cost-effectively whilst using your own data. #databricks #genai #llms #mosaicai  #dataintelligenceday

We see it everywhere - companies are experimenting with GenAI but not yet in production. Hence the genesis of my latest blog - along with co-authors Emily Hutson and Nicolas Pelaez. "Accurate, Safe and Governed: How to Move GenAI from POC to Production" explores these challenges, with some fun examples. Did the non-Databricks LLM reveal my co-worker's private payment amounts when I asked the Chatbot? Did it completely and utterly fail the AI-generated descriptions? Find out what you can do to make your GenAI accurate, safe, and - you guessed it- governed: https://lnkd.in/gj--ZSW9 #databricks Databricks Databricks Mosaic Research #mosaicAI #genai #llm #innovation #data #analytics

This is absolutely crazy: Our Managed AI solution called #Snowflake #Cortex is now generally available - and we're still a month away from Snowflake Summit! But let's talk about Cortex first - what can it do? For example forecasting data points like shop floor sales in a handful lines of sql code. No need to build a fancy time series algorithm, no need to hire someone with a maths PhD. Or find outliers, or not obvious correlations in a data set - stuff that most companies could/should do when the board asks them to "also do some AI things". And those ML functions are only half of it! Then there are the LLM functions that can summarise, detect sentiment, complete a prompt and more. Every conversation I've had so far with companies looking at this, the reaction was overwhelmingly positive. I've heard "Literally what we've been searching for!" three times in the last two weeks. There will be a few Webinars leading up to the summit, which is usually the time when the really **big** announcements happen... And we had the revolutionary Arctic LLM a couple weeks ago, Cortex in GA now.... Sridhar, what do you have you planned?

Join us on Wednesday, January 10 for a free Masterclass for leaders in financial services. 🎟️ Hear from FSI experts at Snowflake and Hakkōda throughout the day discussing the following topics: - GenAI for FSI - Enterprise LLMs - DocumentAI - Streaming Ingestion of Financial data - AI/ML with Snowflake tools Register now to save your spot!  #GenAI #LLM #FinServ

Spoiler alert: it’s easier than you think to implement a production-ready end-to-end RAG. In this demo, Nicolas Pelaez will teach you about data conversion, embedding models, and efficient hosting with Databricks Model Serving. Watch now👇 https://bit.ly/3RDHIFH

Lots of new updates coming out for Domo users, specifically our new #AI Inference tile that lets you deploy any of your eligible externally hosted models, like Databricks and Amazon Bedrock, within Magic ETL using Domo’s ML connectors. Check out all the details: https://okt.to/1XuFbH