Medha Samant

Seismic’s AI enablement assistant, Aura Copilot, is now available for early access. Teams can now get faster access to answers and content, automate tedious tasks, and gain insights for better business decisions. Aura also now integrates with Microsoft Teams and Microsoft 365 Copilot to give teams in-the-moment answers and content recommendation. https://lnkd.in/d_mSbDXK

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Fantastic to see our good friend Dash Desai walk through an example of how to build sophisticated apps in Snowflake with RelationalAI Our goal at RelationalAI has always been to power every decision with intelligence and enable users to do more with less effort. Thanks to our partnership with Snowflake and our deep integration with the AI Data Cloud, that has never been simpler. The best has yet to come, stay tuned! #RelationalAI #KnowledgeGraphs #Snowflake #AIDataCloud

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AI continuously provides sellers with the opportunity to take back time to focus on the most important part of their work - the customers. At Seismic, we recognize that importance and incorporated those AI capabilities into Aura Copilot, a product part of our Spring/Summer launch earlier this year. Seismic's “Aura copilot” prioritizes the crucial need that businesses need to be in control and that AI, as a Copilot, needs that human element to eventually enable the sellers and buyers. Read more of my insights into AI, Seismic’s latest product release, and our continued company growth in the San Diego Business Journal piece below: https://lnkd.in/gsVmT8yw #AI #GenerativeAI #ProductLaunch #SalesEnablement

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What an amazing few days at #SnowflakeSummit2024. A huge thank you to all our UK customers and partners that travelled to San Francisco for the week with Snowflake. Also a massive thank you to our amazing Marketing team for putting on yet another tremendous event. It was amazing to see the new announcements and how Snowflake's architecture is revolutionising AI applications; Iceberg tables are now in GA, Polaris Catalog is now available to support open storage architectures and we are adding an Internal Marketplace along with more AI governance to Snowflake Horizon. These were just a few of the many announcements. With our best-in-class enterprise data foundation and its ability to unlock interoperability with open data and internal collaboration we have exciting times ahead as we unlock the power of the "AI Data Cloud". Finally, a huge thank you to all our Snowflakes who consistently drive customer awareness and the art of the possible. A consistent theme of the week was - "Don't let your imagination limit the endless possibilities that Snowflake's AI Data Cloud can deliver to your organisation". Adam Metherell Florence Storr Andy Westcott Michael Foster Benjamin Tucker Rebecca Sopp Jonathan Nicholson Tom Doyle Rob James Josh Foster-Timms Alex Lambert Caroline Otterheim Lydia Carter Louisa Kierath Alistair Jayne-Coupe Corey Cummins Maxime Fremy James Petter

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In the latest episode of Prodcast, Silvia Botros (SRE Architect, Twilio, and author of "High Performance MySQL, 4th edition") and Niall Murphy (Co-founder & CEO, Stanza) join hosts Steve McGhee and Jordan Greenberg, to discuss many topics near and dear to reliability: cultural shifts in database engineering, rate limiting, load shedding, holistic approaches to reliability, proactive measures to build customer trust, and much more!

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This week, Snowflake CEO Sridhar Ramaswamy gave the opening keynote at the Snowflake Data Summit 2024 in San Francisco featuring Jensen Huang. They shared a vision for “The era of enterprise AI”. 3 Takeaways 1) Snowflake announced a partnership where NVIDIA software will be able to be run in Snowflake environments. As Jensen said "bringing the best computing power to your data, instead of transferring your data to our compute engines". This will work in tandem with Snowflake's Arctic LLMs. 2) As data grows increasingly complex, keeping AI tools simple becomes more and more paramount to ensure rapid enterprise adoption. Launches like Snowflake Cortex AI Analyst, enable business users to interact with structured data using natural language to find answers faster, self-serve insights and save time. 3) The number of AI use cases is large and seem to be highly industry specific in the enterprise across both internal applications and customer facing experiences. Anu Jain, Global Head of Enterprise Data at J.P. Morgan is using AI to inform to give their frontline teams the tools to anticipate what products their customers are likely to need next. Caitlin Halferty, Global CDO at Ericsson is using AI to model sites their team would work on and determine hazards, costs, and how many workers to send. Thomas Davey, CDO at Booking.com is using AI to reinvent the booking journey with intelligent AI suggestions and itineraries for customers based on hyper-personalization.

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For those who missed the Snowflake Data Summit keynote; here’s my GeneAI summarization :-) 1) Sridhar the new Snowflake CEO is smart as a pup and amazing academic and career pedigree, but has very little charisma or public speaking skills. Hope he improves on the latter over time. 2) Jensen zoomed in for his Keynote because he is still in Taiwan for Compudex. Jensen has labeled Taiwan the heart of GenAI Compute, all of Nvidia (and AMD)’s major suppliers are in Taiwan. It’s amazing this little island the size of California holds the future to AI. 3) Snowflake and Nvidia announced their partnership. Basically it’s combining Snowflake LLM Datastore with Nvidia LLM training and inference/generate. This is revolutionary. Snowflake pioneered the separation of compute from storage in massive EDWs, and now the circle is completely with bringing Nvidia compute training and inference/generation close to storage, eliminating bandwidth cost, latency and data policy/privacy issues. And as someone with Information Retrieval background, I see GenAI has come full circle with RAG - it’s just Precision/Recall, attributes vectorization as “embedding”, K-Nearest Neighbor, User Search Intent, DAG, ML algorithms, etc all over again. Except this time with supercharged GPU SoC that is improving at 16x Moore’s Law. We live in exciting times.

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Vector on the move. Take your RagTags to the edge. Search online and offline. Search on many dimensions. Great blog by Priya Rajagopal #Couchbase #Mobile #Vector #AI https://lnkd.in/gJp8232a

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Step into the future of AI with this thrilling opportunity to redefine how enterprises build predictive AI models through intelligent AI agents! 🚀 Lead groundbreaking innovation, shape the next generation of autonomous decision-making, and transform how businesses achieve results. Join us to create the future where agents empower possibilities! ✨

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Deploying AI workloads at scale? Explore how continuous deployment streamlines AI workloads in this practical guide. Discover key strategies like feature flags and canary releases that significantly reduce time-to-market for your AI initiatives. Gain actionable insights to optimize your AI development pipeline now. Read more: https://lnkd.in/g3Xz88NB #AI #ContinuousDeployment #TechLeadership #Innovation

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🎉 BoxWorks 2024 was nothing short of exhilarating! This year, we embarked on a bold journey to redefine the future of work through Intelligent Content Management. 🚀 Every business is unique, and your enterprise AI should be, too. At Box, we're empowering organizations with no-code AI Agent development that’s tailored to your needs: ✅ Works seamlessly with your content ✅ Enterprise-grade security you can trust ✅ Flexibility to the frontier models that fit your strategy The future of work is here, and it's intelligent, secure, and personalized. Exciting times ahead as we shape what's next together! 💡 #BoxWorks2024 #AI #FutureOfWork #EnterpriseAI #Innovation

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Thrilled to announce our strategic collaboration with ClickHouse that is set to transform how our customers harness real-time analytics and generative AI. By combining ClickHouse's powerful real-time data platform with Amazon Web Services (AWS)'s comprehensive suite of services, we're opening new frontiers in data management and analysis. Customers can now seamlessly deploy high-performance analytics and AI workloads, leveraging our global infrastructure for unparalleled scalability and performance. But that's just the beginning. We're also developing tailored industry solutions that will drive transformative outcomes across sectors. Whether you're in finance, e-commerce, or gaming, this collaboration will help customers get the best business value from their data lake and data analytics investments at unprecedented speed and scale. Our goal? To simplify the data journey while maximizing its business value. With ClickHouse on AWS, customers will be equipped to stay ahead in today's competitive landscape, turning data into their most powerful asset. Learn more: https://lnkd.in/g45yGusg

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Under the guise of agent war, database war is here again. Round 1: Microsoft vs. Salesforce :-) :-) Satya: SaaS is nothing but CRUD DBs with biz logic over it. Agents will kill SaaS. Marc: I know what CRUD is - create, read, update, and delete. Marc Benioff: https://lnkd.in/gSQSwhHw Satya Nadella: https://lnkd.in/gpA92Hx6 #AI #Database #Agent

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Congratulations Sridhar, and Jensen, on your partnership to integrate NeMo into Cortex AI. This is a huge step to build custom AI apps. We have integrated #denodo platform with Snowflake #Arctic and #Cortex for building powerful #RAG applications, and are demoing this at our booth in the #datacloudsummit. As you know, relevant corporate #data is essential for #enterprise AI. To that effect, today, we proudly announced integrating NVIDIA NIM Interface Microservices with Denodo to accelerate and optimize #ai capabilities for enterprises. This integration will provide enterprise customers with faster, more secure, and fully scalable AI capabilities. https://lnkd.in/gqgwZ5Dh Looking forward to our partnership with Snowflake and NVIDIA to further the #ai innovation for our enterprise customers! #datavirtualization #logicaldatamanagement

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NinjaOne's approach to #AI focuses on customer success and thoughtful adoption. Learn more about our launch of NinjaOne AI for Patch Sentiment and get to know our new SVP of data and AI, Joel Carusone: https://lnkd.in/g9ieUjFY

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With new features like Document AI and advanced security in the Horizon Catalog, enterprises can access insights faster and safeguard their data seamlessly. Learn how Merkle’s Morten Lileng views Snowflake's impact on accelerating value across data systems. https://bit.ly/4fsyrK7

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🌟 From Raw Data to Behavioral Predictions—Effortlessly What if AI deployment didn’t require months of preparation? With BaseModel.ai now on the Snowflake Marketplace, you can transform behavioral data into predictions in just a few clicks. ✅ Rapid Deployment: Build and deploy models in a week.  ✅ Scalable Flexibility: Create multiple models for diverse use cases.  ✅ Privacy Guaranteed: Data never leaves the secure Snowflake environment. Say goodbye to complexity and hello to actionable insights. AI for behavioral data has never been this simple. 👉 Try BaseModel.ai Today  #AI #MachineLearning #BehavioralData #BaseModel #Snowflake #Synerise 

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On May 16, I get the privelege of facilitating a discussion with some AI experts and enthusiasts in our webinar, "The C-Suite’s Guide to Generative AI". I hope #DeltekProjectNation will join me, #AI Strategist Walter Pasquarelli and Lora Barclay from Waterstons for this discussion on valuable AI insights and practical strategies. Don’t miss it. 💻 https://bit.ly/49Ns1BD

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The McKinsey report on AI in early 2024 highlights a significant increase in generative AI (gen AI) adoption, with 65% of organizations using it regularly. This marks a near doubling from the previous year. Organizations report both cost savings and revenue boosts from AI deployment. However, risks like inaccuracy and intellectual property infringement are noted, prompting high-performing companies to adopt extensive risk mitigation practices. Investment in AI is set to rise, with organizations seeing faster implementation times for AI projects across various business functions. https://lnkd.in/dutCswfv).

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