Mandar Naik

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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Catch our top Solutions Architects Sri and Rita in this session at AWS Innovate. Learn the latest approaches to rapidly modernize your .NET Applications using GenAI and the power of the AWS Cloud.

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💡 From boosting #AI adoption to enhancing cloud infrastructure, #GoogleCloud is making waves in India. Our CEO, Thomas Kurian's insights highlight our dedication to fostering innovation and driving digital transformation. From healthcare to financial services, discover how our AI solutions are making a difference 👇 https://goo.gle/4ePiduW

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BUILD is coming up next week. I'll be on at the Copilot for M365 expert meetup most mornings if you are at the event and want to discuss Copilot or M365 Apps and Team please swing by! https://lnkd.in/gb6NdeGt We have lots of exciting announcements and some great ways to extend Copilot or build your own. See you there! #MicrosoftBuild #Partners #Copilot

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This is where AI can be helpful than other forms.

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Data marts, warehouses, lakes, whatever the name, the pattern of consolidating data across an enterprise for comprehensive analytics is a familiar one. Every enterprise has many data sources, some operational, some analytics, some telemetry, and bringing them together has always been a challenge. Cleaning the data, curating for consistency, exploring, doing data science, building reports, monitoring, is another series of challenges in bringing a range of tools to bear on the data, thanks to diverse data formats and tooling. With Gen AI, the requirements (e.g., vector indexing for RAG) and potential value of the data have both gone up. And the pressure to ensure right use of the data, to comply to a broad range of regulations, to secure the data has never been higher. We believe the time has come to come together around open data standards to ensure that data is easy to consolidate and easy to plug into a wide variety of tools, all in a properly governed way. Josh and I describe the approach we are taking at Microsoft with Fabric and Purview. We are building on open Parquet-based updatable table formats such as Delta, Iceberg and Hudi, and interop across them with XTable. We are making it easy to consolidate data with mechanisms like mirroring and shortcuts. Ultimately, users should be able to use their tool of choice for a given task with the least friction.

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Multi cloud GenAI needs, with all the building blocks for modern applications, from MongoDB...

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In this interview with Smart State India, Rohit Ramanand, GVP of Engineering, India at New Relic, shares the role observability plays in AI readiness, the obstacles Indian companies face in AI adoption, and practical steps for overcoming these hurdles. Check out the full interview below 👇

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I am often asked to share customer success stories and enjoy doing so. However, the ones that I like and that I share have to include actual details, not just generalities! Today's story has tons of details. A few years ago #AWS customer New Relic decided to completely exist their on-premises data centers by migrating to the AWS cloud. This move was driven by several factors including aggressive sustainability goals and a desire for better scalability & efficiency. After an initial migration to a fleet of over 23,000 AWS Graviton servers in 2022, they continue to optimize and to adopt newer instance types. Today, with about 64% of their workloads migrated, they have reduced their carbon emissions by 99.45% and the total amount of compute (measured in Normalized Instance Hours, or NIH) by 27.29%. Read the entire blog post, "New Relic powers sustainable observability with AWS" at https://lnkd.in/grWXEEAQ

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Making decisions as an IT leader can be overwhelming at times. With so much at stake, choosing the optimal cloud infrastructure model to support AI workloads is a critical challenge for every organization today. Thank you Rajesh R. for outlining key considerations and your insight. Check out “Decision Point” for this and other helpful guidance in The Doppler, and explore other thought-provoking reflections from industry experts on the future of #AI. #PrivateCloud #HPEGreenLake #Cybersecurity https://lnkd.in/gekbigpw

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At MongoDB, we see the magic of AI through two lenses: one is incredible user experiences and the second is the intricate, brilliant work of developers who bring these experiences to life. To the world, AI apps are modern-day genies, granting wishes with a snap of a photo or a simple voice note. But developers see the complexities of working with various data types including text, image, and audio. This is why we channel our efforts to empower developers with seamless data unification capabilities, flexible integration options, robust security features, and an intuitive, enjoyable development environment. The potential applications of AI are vast and largely unexplored. If we offer our developers, the right tools and platform, there are so many innovations we are yet to be surprised by. #MongoDB #developer #artificialintelligence

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Check out this interview with @Andrew Shuman, former Microsoft CVP and stellar advisor to IQXR and Mesmerise Group. Andrew, I enjoyed your take on AI! #Hoff

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Excited to share my review of the recent AWS PartnerEquip event. As someone deeply involved in cloud solutions, I'm impressed by the potential of Amazon Q for both developers and business users. Learn more in my new blog post: https://lnkd.in/gEQnVAFb #CloudInnovation #AmazonQ

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Hear from Sachin Gupta, VP and GM, Infrastructure and Solution Group, Google Cloud to learn customer-proven strategies for AI-powered innovation and modernization, leveraging the best of public cloud, edge, sovereign, and cross-cloud infrastructure and services. See how leaders are achieving real business outcomes faster and more cost-effectively in industries like retail, healthcare, and even the most stringent regulated industries. Plus, see how Gemini is dramatically simplifying and reimagining cloud as we know it.

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Innovating Cloud: A Conversation with Gopi Duddi from #Couchbase on GenAI

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