TeamCentral’s Post

During our panel discussion at Medical Affairs Professional Society (MAPS) technology summit last week, someone asked about how to keep data within the organization using Retrieval-Augmented Generation (RAG) of LLMs. The second question was, "How can I ensure that the outcomes from a Large Language Model (LLM) are not hallucinated, unbiased, and trustworthy?" My response was similar to Naveen's thoughts below: "Your GenAI applications need to understand your enterprise data and the specifics of your domain and industry. They must produce high-quality outputs that are well-governed and continuously evaluated for accuracy." For those interested in learning more about this topic, I'm re-sharing a Databricks post that provides valuable insights. This is relevant to all my colleagues in the industry. #Databricks #MosaicAI #AIML #DataSecurity #RAG #GenAI #IndustryInsights #MAPS #PanelDiscussion Tagging Bolu Oladini, PharmD, BCMAS, Prem Sundivakkam, PhD., MBA., BCMAS, Loucif Ouyahia, Srinivasan Krishnan, Gerard Deisenroth, Medical Affairs Professional Society (MAPS)

Naveen Rao, VP of AI at Databricks, discusses how organizations can mitigate “data exhaustion” with data intelligence. Using your company or sector’s unique data for customized AI offers a competitive edge. “When we look at having an inundation of data, you actually have to find good information within that data. That’s the hard part.” Watch the full conversation on the Databricks Data Intelligence Platform via CNBC: https://dbricks.co/4eDOOmz

Irrespective of industry, the organizations that will thrive and differentiate from their peer group will leverage Data+AI. This is where Databricks can help; we've created a Data Intelligence platform that enables: -Simplification - ease of use and access of data to all stakeholders -Intelligent - AI is integrated end-to-end to enrich the value of your data -Private - Custom models are quickly built on your data Naveen Rao provides further context on how Databricks enables clients to leverage our Data Intelligence platform to accelerate these capabilities on their data!

The world of AI is going through a maturity curve, especially for enterprise ready AI, after the hype cycle of ChatGPT. Now we are finally seeing the wood from the trees understanding the importance of data but more importantly what data is needed at the right time to deliver value to the business. Naveen explains this paradigm eloquently in this post. #dataintelligence #dataAI #AI #databricks #digitaltransformation

Generative AI will enable an era of smarter and more sustainable manufacturing, powered by intelligence, where anyone can effortlessly analyze diverse datasets at scale in seconds. Your generative AI models will only be as good as the data on which they’re trained. That’s why off-the-shelf solutions have little lasting value. Find out how Databricks can help build and train generative AI solutions that use your own data to accelerate innovation, reduce costs and differentiate your organization from the competition.

Optimize LLMs with RAG in Databricks with multiple options

By using Databricks to build and train #GenAI solutions with your data, you can accelerate innovation while reducing costs 🙌 Learn how to use RAG, fine-tune models, and more in this on-demand webinar👇 https://bit.ly/3RIIwJt

Join Databricks on September 18 for Data + AI World Tour New York! Discover how leading companies near you are taking control of their data and building custom AI on the Databricks Data Intelligence Platform. Register now!

Whether it’s RAG, fine-tuning, or training models from the ground up, Databricks has you covered as you scale #GenAI capabilities. Learn how the Data Intelligence Platform helps data-forward businesses leverage generative AI with the added edge of proprietary data ⬇️

Join us on June 27 to learn how you can: 🔸 Consistently discover the root cause for slow and failed pipelines using AI 🔸 Launch production pipelines and keep them healthy in less than one-third of the time 🔸 Uncover 75% of issues that are nearly impossible to find without observability tools 📌 Databricks: Achieve performance and reliability with purpose-built AI 🕒8am PDT | 11 am EDT | 10am BST 📅 June 27 📍 Virtual Learn how you can stay ahead in this AI-driven world. Register now to secure your spot: https://lnkd.in/gPHTD4NZ Clinton Ford Don Hilborn #Databricks #Troubleshooting #DataOps #DataObservability #Observability #Pipeline