AI Factories: Five big takeaways from the Data + AI Databricks summit: Ali and Jensen fireside chat
Gurmeet Singh, PhD
Digital & Technology & Data & AI Executive | Transformation Leader | CDIO | Board Member | Cyber | Digital P&L | Capital One | McKinsey
Last week I attended the Databricks @Data + AI summit. The largest gathering of Data + AI enthusiasts! In addition to an awesome keynote by CEO/Co-Founder Ali Ghodsi , we heard Ali Ghodsi and Jensen Huang CEO/Founder NVIDIA talk about the future of #AI and #Data. It was amazing to see how both leaders were so much in sync on the future of AI.
Here are my five big takeaways from the Ali Ghodsi and Jensen Huang dialog:
1. Intelligence at Scale: We are at the beginning of a new generative AI driven industrial revolution – Manufacturing ‘Intelligence at Scale’, aided by compute and cloud. NVIDIA DGX cloud and Databricks Data Intelligence Platform along with hyper-scalers (Microsoft, Amazon, Google, IBM) enable intelligence at scale.
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2. Democratization of AI: Open Source is making every company into an AI company. Providers will enable the ‘Democratization of AI’. Databricks made some big announcements to drive this forward. Especially open sourcing Unity Catalog, the industry’s first open-source catalog for AI and data governance.
3. Intelligence AI factories All companies will become ‘Intelligence AI factories’ with domain specific intelligence and embedded AI into applications with Compound AI. Ali Ghodsi shared how Databricks is helping enterprises build their own AI factories on their private data. Jensen Huang talked about NVIDIA DGX and NIMS enabling AI factories in the cloud.
4. AI on the edge: The future of AI is going to be more contextual and on device ‘AI on the edge’. AI will need to be about inference and not just training. Databricks announced bringing native support for NVIDIA GPU acceleration on the Data Intelligence Platform and DBRX as a NVIDIA NIM microservice. ‘AI on the edge’ future is evident with recent updates from Microsoft, Apple and Qualcomm.
5. Just get started: Both leaders urged that companies need to start engaging with AI and Generative AI 'Just get started'. With a large number of tools, models, infrastructure and hardware available, enterprises need to begin this journey now!
My teams and I have been on this journey for a while and excited about the power of these technologies and outcomes they can unlock. Would love to hear your examples on how you are driving the power of #AI and #GenAI in your organization.
Dmitriy Dovgan Tian Su Shahmeer Mirza Richard Wingfield Marius Raileanu Ojas Nivsarkar Chakra Jamdagneya Anirban Deb Roee Anuar Irad Ben-Gal Gonen Singer Vered Levy-Ron Subhashini Tripuraneni Subha Shetty Mesfin Dema, Ph.D. Ali Bakhtiari Ryan Bulkoski Ming Wang, Ph. D. Bindu Reddy Sri Harsha Kapaganty Debjani Deb Warren Hearnes, PhD Bingyi Yang
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Strategy & Growth Executive, Partnership Builder, Value Creator and Innovator
4dThanks #GurmeetSingh for the insight. Coming at this with more of a business background, I found pt. 3 quite compelling. Exciting times indeed!
Data-Informed guy: Helping Businesses achieve growth by turning data into real-time data
1moThis has been an insightful read. I concur the point that we have only started to Tap into the power of AI & data. We've been actively working on several initiatives to harness the power of AI and GenAI such as Personalized Chatbots, L1 Support Automation, Sentiment Analysis, Intent Recognition, Feedback Analysis and more. I'd love to hear more about your experiences and any specific challenges or successes you've encountered on your AI journey.
Sr. Director of Data, AI/ML, and R&D
1moGreat summary, Gurmeet Singh, PhD! Points 3 and 4 are particularly important. As more sophisticated foundational models become commoditized and readily fine-tuned on easily accessible infrastructure, the value of a company’s proprietary data skyrockets, especially for domain specific problems. For brick and mortar businesses in particular, inference at the edge is a powerful mechanism to meet customers where they are and create realtime value.
CEO at Syte
1moThanks Gurmeet for sharing! Very interesting. At Syte - we've learnt that the best starting point with our retail customers is to identify a defined pain point and get started with a practical use cases which leverages GenAI and delivers ROI. So I like your point #5 "Just Get Started" :)