Garrett VanLee

Data is pivotal to the current surge in AI and elevating performance, which means databases need to rapidly adapt to AI demands. With our recent unveiling of MongoDB AI Applications Program (MAAP), we’re commitment to supporting developer and product teams in how the leverage and innovate with AI. As noted in this recap from MongoDB.local NYC, our CEO, Dev Ittycheria discussed our focus on driving AI transformation through the application layer of the AI stack and MAAP’s role in enabling dev teams. That’s why we’ve partnered with Microsoft, Google, and AWS for deeper product integrations – enhancing data management and capabilities to provide a developer-friendly approach to AI. #MongoDB #AI #MongoDBlocal

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This is a must see - 5mins of clear articulation of how and why Google Cloud differentiates in #GenAI with an unique approach and strategy relative to competitive #hyperscalers https://lnkd.in/gywMw7Dp

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What makes success stories like Observe.AI so exciting for me is witnessing MongoDB's evolution into an AI-accelerating data platform. For an AI-centric company like Observe.AI, choosing the right data architecture was the star. And they recognised MongoDB's distinct strengths to flex across databases, analytics, search, mobile data management and now vector databases for generative AI workloads. Our powerful indexing and querying capabilities allow Observe.AIs data scientists to quickly access and analyse the data powering their AI models. Read how Jithendra Vepa's team is using MongoDB as a core enabler of their innovative AI stack. Jithendra Vepa, Ashish Saxena ,Ashish Gupta,Puneet Tandon , Raunak Bhansali , Sachin Chawla, Shekhar Bharat Singh , Vaibhav Mehra . #MongoDB #artificialintelligence #dataanalytics https://lnkd.in/dTd9Y36w

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New Relic and NVIDIA released the first observability integration making it easy for companies to monitor the health and performance of their AI applications built with NVIDIA NIM.

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In this podcast, Google Cloud's Oliver Parker vice president, global generative AI GTM, and Miku Jha, director, AI/ML and generative AI partner engineering, sit down with Bob Evans to talk about how businesses can safely and efficiently scale their generative AI efforts, focusing on high-value opportunities while leveraging Google Cloud’s open platform, extensive ecosystem, and advanced AI/ML capabilities to deliver meaningful results for clients. Scaling Generative AI The Big Themes: Prioritizing cost and impact: Businesses are focused on the dual priorities of cost efficiency and impactful results when implementing generative AI. With numerous potential applications for generative AI, organizations need to evaluate which projects will deliver the highest value. This approach involves collaborating with partners to identify the opportunities that offer the most substantial benefits. Open ecosystem advantage: Google Cloud’s emphasis on openness and flexibility is a key differentiator in the AI landscape. Its commitment to open systems and platforms allows for various models and technologies, including first-party and open-source offerings. This open ecosystem approach enables businesses to leverage various AI models and infrastructure options, enhancing scalability and adaptability. End-to-end offerings: Google Cloud offers a comprehensive AI stack that supports a wide range of applications, from foundational models to advanced infrastructure. This end-to-end tool facilitates the development and scaling of sophisticated AI applications. The integration of various layers, including model capabilities, hardware options, and platform services, enables partners to deliver efficient and effective AI offerings. The Big Quote: “Having great models is one thing, but having differentiated infrastructure and a platform — all those three things come together, and I think we are unique in that sense.” More from Google Cloud: Learn more about Google Cloud and AI.

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Learn how industry leaders are reducing AI development time by 60%. Schedule a meeting with DataStax at #AWSreinvent to discuss your AI goals and get a ticket to a show of your choice. https://ow.ly/BzOY50Uac4Z

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Discover how Tondo Smart is creating a smarter future for cities by monitoring, controlling, and predicting issues for public lighting systems using #Couchbase NoSQL in our upcoming webcast on May 7 & 8. Save your seat!

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At the recent MongoDB.local NYC, we proudly announced the release of MongoDB AI Applications Program (MAAP), which empowers developers with blueprints and architectures to build AI apps quickly and seamlessly. Through partnerships with Anthropic, Cohere, Fireworks AI, Langchain, LlamaIndex, Nomic, Anyscale, Credal.ai, and Together AI – we’re making it easier for our developer app to integrate with different cloud providers, unifying all different data types to provide a wide range of use cases. We’re also introducing two new professional services to streamline app development: an AI Strategy service to help customers identify and build upon the highest-impact opportunities and an AI Accelerator service to help customers execute their app roadmap. Later this year, we will also see the release of Atlas Search nodes on all three cloud providers, the general availability of general availability of Atlas Stream Processing, the public preview of Atlas Edge Server, plus the addition of full-text search and vector search in MongoDB Community Edition. MongoDB.local NYC was stacked with announcements of new features and services – and our team are taking this show on the road with MongoDB.local events scheduled for APAC in the coming weeks. Check out our events pages for more details and secure your spot today! #MongoDB #AI #MongoDBlocal

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Learn about the Pong Yuen platform for an intelligent Internet of Things (IoT) ecosystem and how NetApp AI solutions help organizations embark on their path to success in the era of AI-driven innovation. https://ntap.com/3MWuzV2

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OCI is leading the pack in cloud infrastructure performance with its ability to support HPC, Exadata, Autonomous Database, and GPU-powered AI and ML applications. What sets OCI apart is its scalable, low-latency network that supports remote direct memory access (RDMA) for lightning-fast performance. Check out this article for more details on how OCI is building a high-performance network in the public cloud. #OCI #cloudinfrastructure #HPC #AI #machinelearning #Exadata #AutonomousDatabase #GPU #publiccloud #oracle https://lnkd.in/gY4SkF-t

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🌟 Rise of the AI Integrators: Roadmap to Business Impact with Generative AI 🌟 In this blog we discuss how can #SystemsIntegrators partner with Google Cloud as they help their customers realize higher levels of business value with GenAI Beyond the rather commoditized tasks for summarization, content generation etc., 🔹 Generative U/X: Revolutionizing user experiences with AI-driven creativity. 🔹 Hyper-Personalization: Tailoring experiences to individual preferences using AI. 🔹 AI Amalgamation of Data: Integrating diverse data sources for powerful insights. 🔹 Agentic AI Business Process Automation: Streamlining operations with intelligent automation. 🔹 Next Best Actions: Generating strategic recommendations for impactful decisions. 🚀 Key Takeaway: Google provides solution completeness for all AI integrators at ask stages of their AI and Data journey 🚀 in depth discussion of differentiating capabilities that are essential to AI Integrators for leveraging generative AI to drive business success for themselves and their clients #AI #GenerativeAI #BusinessImpact #Automation #Innovation Cc: Kevin Ichhpurani Victor Morales

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Introducing Clari Forecast for Consumption – helping leaders drive predictability and accountability across complex revenue models. Predict and manage all consumption revenue in one place, uncovering next best steps, new opportunities, and use cases. You’ll also get customizable forecasting fit for the scale and complexity of your revenue cadence. Now, all members of your sales team can lean in and run revenue like a pro. Learn more about how you can recharge your revenue engine with AI here: https://bit.ly/3yb09dT 

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How do the latest AI models compare in solving real-world technical problems? At CodeSignal, we are excited to introduce our latest AI Benchmarking Report, showcasing how #AI models compare to each other as well as to real engineering candidates. While AI excels at efficiency and handling straightforward problems, human engineers bring something special to the table—creativity and adaptability. When it comes to complex, unpredictable challenges, people still have the upper hand.  The future of engineering? It’s all about working smarter, together—human intuition meets AI power. ⚡️ Check out our full report to see how AI models like Strawberry, GPT-4o, Sonnet, and more performed in head-to-head coding tests with human engineers. 🔗 https://bit.ly/4guKlEo

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