Kieran O'Driscoll

Databricks raised the biggest venture equity round ever by helping customers reduce their total cost of ownership ("TCO") for their analytics & AI workloads. Speedata.io infrastructure provides 50x better price performance than CPUs and GPUs for Apache Spark batch ETL and batch analytics workloads. https://lnkd.in/ghpwfPFk

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So excited about this partnership! Meta to release the Llama 3.1 series of models on Databricks – available to customers today. These models expand context length to 128K, add multilingual capabilities, and include Llama 3.1 405B — the largest and highest-quality openly available foundation model.    With this release, customers can serve and fine-tune the Llama 3.1 models, connect them to our RAG and agentic systems, easily generate synthetic data to better customize their models, and leverage them for scalable evaluation.    Databricks has integrated Llama 3.1 throughout our Data Intelligence Platform.

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Check out this insightful article on how open file formats shook up the Snowflake Databricks rivalry and created a new battleground: The rise of AI models and huge training data sets, security and governance tools could become a much bigger selling point https://lnkd.in/ewHyf2vJ

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Materialized Views and Streaming Tables are now Generally Available in Databricks SQL! 🥳 In our internal benchmarks, Materialized Views delivered ~7x better data freshness at 1/50th of the cost of a similar CREATE TABLE AS statement. 👀 Read more here!

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Our partners at Databricks have joined forces with BLACKBIRD.AI to accelerate AI-driven innovations in narrative intelligence... This new collaboration will bring enhanced governance and security, enabling organizations to defend against harmful narratives effectively. Find out the details here: https://carah.io/4c320 Jude Boyle, Vikas Joshi, Dave Conte, Margaret Amori, Brian Osborne, Jeff Howard, Matt Moss, Howard Klayman, Tim Maffuid, Kristen Nero, Wasim K., Richard Savage, Natalie Gregory

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Introducing Databricks AI/BI. Intelligent analytics for real world data. "AI/BI marks a significant step towards true self-service BI, substantially expanding the types of analytics everyday users can do through an AI-first approach." #databricks #ai #bi #dataintelligence

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Databricks Clean Rooms, powered by Delta Sharing, enables organizations across industries to collaborate with partners in a privacy-safe manner without relinquishing control over sensitive data. Key features: ✔️ Any language, any workload ✔️ Any cloud, no replication ✔️ Any scale, any trust level Learn how it works👇

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Well written piece in Solutions Review by Tim King Why You Should Attend 🧠 For data engineers: Broaden your knowledge and expand your skills by learning from industry experts and your peers how to deliver high-quality, reliable data for every use case from BI to AI. 🧠 For data scientists: Learn how lakehouse and tools like MLflow can accelerate productionization of models, increase productivity, reduce risk and increase ROI on new models. 🧠 For data architects: Architects require a future-proof, unified platform that facilitates all analytics and AI on one data copy, catering to diverse data types while ensuring organization-wide security and governance. 🧠 For data executives: Learn how the lakehouse architecture unifies data, analytics and AI on a single platform for better performance, lower TCO and faster innovation. There is still time to register! https://lnkd.in/gKQ_84Sh https://lnkd.in/gYHDwHb5

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Always great to see the results of Qlik acquisition and integration vision come to life with the release of GA product. Check out Qlik Talend Cloud supporting comprehensive data integration, governance, and quality needs for our customers. Expanding even further upon managing data, but also in building the AI Foundation organizations need today and in the future. #QlikTalendCloud #AIFoundation #AI #Data

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Primary Key and Foreign Key constraints are now GA and enable faster queries. This release represents a big milestone in enhancing data integrity & relational data management in Databricks. Learn more: dbricks.co/4c3J4Rl

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Learn how you can utilize Astra DB vector search to add a 'related posts' feature to an Astro blog in this newly published DataStax piece by Phil Nash: https://ow.ly/OoW650Sno3t #AstraDB #DataStax

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Are you at the Snowflake #datacloudsummit2024 in SF tomorrow (June 5)? I am! Let's catch up and chat about how MinIO & Snowflake can make your life cooler.

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Databricks Clean Rooms, powered by Delta Sharing, enables organizations across industries to collaborate with partners in a privacy-safe manner without relinquishing control over sensitive data. Key features: ✔️ Any language, any workload ✔️ Any cloud, no replication ✔️ Any scale, any trust level Learn how it works👇

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Introducing #DBRX: a general-purpose LLM that sets a new standard for efficient open source models. More organizations are leveraging open source models for efficiency and cost. The Databricks Mosaic Research team designed DBRX to be easily customizable so that enterprises can improve the quality of their GenAI applications. Leverage it for RAG or to build a custom LLM on your own private data.

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Check out this Customer Insights Analyzer in Snowflake built by Phani Raj.

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Poor Data Results Affecting Success? Read this now. https://lnkd.in/gduWmw7Q #dataresults #datamanagement #Databricks #success #bigdata #analytics #datascience #businessintelligence #dataquality #dataanalysis

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Join us for a demo on May 14 of Snowflake and Salesforce's bi-directional data sharing capabilities! Highlights include: - The advantages of this innovative zero-ETL approach and how it offers organizations the speed and reliability to run effective campaigns - Common use cases and how customers are putting the integration to use in their organization - A demo of how to get started querying Salesforce data in Snowflake and vice versa - How you can gain insights from unstructured data using Snowflake Cortex and DocAI and surface it in Salesforce https://okt.to/BAcTeb

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