Erik S.

Here’s how Amazon’s homegrown chips are helping customers power complex AI and general compute workloads to process enormous amounts of data at a lower cost.

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It's not easy to get AI into production and make it cost-effective, especially at massive scale. Read about how ASAPP is fundamentally changing customer service with AI and #ApacheAirflow...

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When engines compete, customers win. The biggest story in data this summer was that Iceberg established itself as the de facto standard for how customers store their data for decades to come. What comes next? Listen to Alex Woodie and I cover this and a wide range of other topics on his interview series here:

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Jay is spot on here "One of the biggest barriers to AI innovation is access to clean and trustworthy data. The truth is, while you can have a great AI/ML model, without contextual, real-time data from your business, the model is useless for most applications. Connecting AI models to enterprise data in real-time is one of the more challenging problems to solve." Many may think they are "doing AI" but until this bigger, more challenging problem is solved, AI will have little impact in the enterprise.

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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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Everybody in an enterprise has the opportunity to be an AI superhero and enhance value to their stakeholders. Read about how the AI Optimizer in our upcoming Db2 V12 release allows our Db2 administrators to do just that….and you just need to turn it on!! No experience necessary.

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Graphs offer unparalleled potential for uncovering and leveraging intricate data relationships, driving deeper insights. However, the management of separate graph databases has historically hindered the realization of comprehensive, integrated analytics. Spanner Graph promises to revolutionize this landscape by seamlessly incorporating graph capabilities, thereby unlocking new avenues for data-driven value creation. #graphdatabases #googlecloud https://lnkd.in/dbkYMGYA

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#Dynatrace is thrilled to share that Davis CoPilot is now generally available! With Davis CoPilot, you can transform your conversational prompts into precise Dynatrace Query Language (DQL) commands. This tool is designed to make data analysis straightforward and intuitive, whether you're just starting out or have years of experience. Check out the blog for more information.

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Learn how to achieve the most accurate responses for text Q&A in this upcoming webinar on August 7.

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Learn how to achieve the most accurate responses for text Q&A in this upcoming webinar on August 7.

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Scaling RAG applications to large datasets means scaling your knowledge retrieval system. This pushes on many aspects, from the ability to handle large data volumes, to performance, economics, and result quality. In this show of Microsoft Mechanics, Jeremy and I explore this topic and go over how we address these challenges in Azure AI Search. We go deep into scaling vector search using vector compression techniques such as quantization and MRL, and how rescoring brings quality back up. We also talk about how at scale relevance is more important than ever, and how our Hybrid Search and Semantic Ranking capabilities help create generative AI applications with better quality responses. https://lnkd.in/gBXtSNqM

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IndiaAI recently sat down with New Relic Chief Product Officer, Manav Khurana to chat about how AI is shaping the future of observability. Check out the full article below!

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Interesting news! Together, Teradata and Google Cloud are bringing game-changing, enterprise-scale AI innovation to businesses. Find out how our partnership is driving future-ready, data-powered solutions in this article by The Futurum Group's Steven Dickens 👇

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Do you need to stream any type of data from multiple diverse sources or enable real-time data at scale and reduce data drift with intelligent data pipelines. Then take a look at IBM StreamSets.

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We are in the early stages, but the momentum we are seeing with our partners building AI apps and commercializing those apps for our customer ecosystem is significant. "Snowflake Massively Expands Types of Applications That Can Be Built, Deployed and Distributed on Snowflake" https://lnkd.in/gZ5bUswA

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Did you know 82% of leaders say their employees will need new skills to be prepared for the growth of AI? Discover how to cultivate AI fluency and turn data professionals into value-driving AI champions. #AIfluency #AI 

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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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'We’re All Going to Be CEOs Companies that invested in big data over the past two decades have a big advantage because the analytical tools are finally catching up. “That data is probably worth more than anyone thought it would be,” Lange said. “AI allows you to distill that information.” This means decision-makers can look to AI for help answering strategic business questions about customers, deals, products, pricing, operations, and more.' #AI #DecisionMaking

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