Thomas Kurian

Amazon Web Services (AWS) is at war and Andy Jassy has a new consigliere Matt Garman. Amazon.com Inc. has strategically positioned Matt Garman as the new CEO of Amazon Web Services (AWS), much like a wartime consigliere in the vein of the iconic film "The Godfather." Garman assumes command in a critical era for AWS, marked by intense competition for cloud and AI supremacy. This period follows significant shifts brought about by the pandemic, a new wave of developers, and rapid advancements in generative AI technology. AWS finds itself in the midst of a fierce battleground, not only maintaining its cloud infrastructure leadership but also vying for dominance in the burgeoning AI sector. The one other wildcard in favor of AWS with Garman (besides being a product czar) is that he's very partner friendly which will be a key part of keeping AWS ahead. Lots of commentary and our post has the news with reaction from the top analysts. SiliconANGLE & theCUBE has the news. Story Link: https://lnkd.in/gDJFC496

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Check out this new SIGMOD '24 scientific paper. Our customers love Amazon MemoryDB for its low latency performance, rich flexible API, large scale (up to 500 nodes per cluster), security, availability (4 9s SLA), and AWS's operational excellence. We designed MemoryDB for 11 9s of durability while still providing in-memory performance. My team created a nice technical scientific paper on MemoryDB's architecture. If you would like to learn about what's under the hood, check out this SIGMOD '24 paper. Yacine Taleb, Xingbo Wang, Nan Yan, Allen Samuels, Kevin McGehee, Stefan Mueller, and Jean G. - excellent work publishing this paper! https://lnkd.in/gFXPvci8 #aws #memorydb #inmemory #databases #durability #science #sigmod

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Google's Workload Optimized Infrastructure at Next '24 Discover how Google Cloud is advancing workload-optimized infrastructure with innovations like Axion CPU & AI Hypercomputer, storage, & more. https://lnkd.in/g9AXr9CH #GoogleCloudNext

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Some additional charts on the aggregate hyperscaler data from Q1. The charts below show 1) The aggregate net new ARR added on q quarterly basis. Q1 is always a seasonal low 2) The YoY growth in net new ARR in Q1. Q1 '23 was the "bottom" with AWS actually adding negative net new ARR (ie they shrunk), so the YoY comp is the "easiest" for the aggregate bucket.

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As the AI platform shift accelerates it feels to me like we’re living in a modern day Renaissance. New ideas, new advancements in technology and new tools to help us make AI helpful for everyone. #GoogleIO last week & #GML24 (Google Marketing Live) this week brought this to life. Here’s a mash up of my 3 takeaways from both #GoogleIO & #GML: 👉 Multi-modal everywhere. It’s not just about text, it’s voice, it’s video, it’s multi-modal. I’m excited to have a conversational experience with Ask Photos to search memories in a deeper way & also to ask questions with video - very helpful for questions that are hard to articulate. 🎨 Creativity unleashed. What excites me most about the AI era is the potential to unlock creativity. From Veo video tool to virtual try on and visual storytelling in our Ads products these tools are an assist to unlock more creativity in us all. 📗 Productivity unlocked & results for businesses around the world. Google Workspace features like summarize my email, trip planning in Gemini Advanced and other productivity hacks that will help save time and get things done more quickly. Check out Philipp Schindler’s demo Project Astra, a helpful universal AI agent. I love your Yoda Philipp Schindler (& I think GBO is awesome too)! From the ‘power pair’ of Search + PMax to AI powered creative tools to new ways to measure, businesses across the globe are growing their business in new ways, powered by Google AI. All of these innovations are underpinned by huge advancements in primary research, technology and application + bold and responsible practices. It’s a very exciting time! Here’s a 10 min Google IO summary:   https://lnkd.in/gG5BhR9T Heres a 7 minute overview of the GML keynote: https://lnkd.in/g-d2JgZM What were your favourites?

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Szabolcs Paldy and Michael Clark of Google Cloud joined SiliconANGLE & theCUBE at #GoogleCloudNext to speak about the recent collaboration to empower contact care agent with gen-AI driven tools for intelligent document summarization and real-time search assistance to enhance customer experience. Watch the full interview:

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As companies go multi-cloud in their deployments, we need stand alone MLOps/LLMOps solutions that can deployed across vs being dependent on any one platform. As developers use multiple code generators, we will need security solutions that go across all of them to support developers. As businesses use multiple LLMs/AI models/APIs across the enterprise, we will need stand alone solutions to help identify, implement, and secure data and use cases. These are great opportunities to build next gen independent large software companies.

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Check out our third installment of “Cloud Culture: Life, Leadership, and LPs,” a series where we dive into our favorite Amazon Leadership Principles (LPs) by interviewing corporate leaders around the world.   For this episode, I caught up with Kirsten Gilbertson, Amazon Web Services (AWS) Partner Organization Leader, ASEAN, in Bangkok, where she told us about her favorite LP — Frugality. 💲💲💲 Frugality demands that we remain innovative,💡 Think Big, 💡 and find efficiencies so we can do more with less. Doing so keeps us Customer Obsessed by helping our customers achieve their desired outcomes in ways that also drive profitability for our AWS Partners.    What’s your favorite LP? #EmbraceOurCulture AWS for Industries AWS Executive Insights #AWS #Leadership #AmazonCulture #AmazonLeadershipPrinciples #CloudCulture Matt Garman Ruba Borno Greg Pearson Kathrin Renz Jaime Valles Jeff Johnson Corrie Briscoe Vatsun Thirapatarapong

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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.AI's data scientists to quickly access and analyse the data powering their AI models. Read the blog to know how MongoDB is a core enabler of their innovative AI stack. #MongoDB #artificialintelligence #dataanalytics

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With Google Cloud at #GoogleCloudNext in Las Vegas last week, our teams unveiled a host of useful AI updates for enterprises and developers. Among the highlights, Gemini 1.5 Pro is now available in public preview via Vertex AI and makes a big leap by gaining advanced audio processing - now able to analyse recordings like music and speech to generate high-quality transcriptions and nuanced content analysis. Imagen 2 now includes the ability to generate 4-second live images from a single text prompt, as well as advanced photo editing tools, offering new creative avenues for content creators. And the introduction of CodeGemma and RecurrentGemma brings enhanced capabilities to developers with powerful, efficient models for creative ingenuity. I’m so impressed by how our teams continue to bring advanced technology to real-world applications, creating AI solutions that push the boundaries and deliver tangible benefits to businesses and developers worldwide, all while remaining in line with our vision of applying AI for the greater good. Find out more: https://dpmd.ai/lcn

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On #CNBC's #MadMoney, Jim Cramer digs deep with Anirudh Devgan on the importance of Cadence in the development of the #AI era. Hear Anirudh explain how #Cadence’s vision and leadership in computational software are transforming multiple industries and powering the AI era. https://ow.ly/Ow9L50S3PGw

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AWS continues to add capabilities to Amazon Bedrock that make it the easiest way to build high quality, low latency, and cost-effective GenAI applications. Today the team announced:   - Custom Model Import, which lets customers easily bring their own models (from SageMaker and S3) to Bedrock to leverage its leading GenAI features, such as RAG, agents, Knowledge Bases (guardrails), inference deployment, and advanced customization to keep teaching and refining models.   - Model Evaluation, which lets customers quickly select predefined evaluation criteria (like accuracy and robustness) and run reports that help them understand which is the best model for them.   - Meta’s new Llama 3 models, now available on Bedrock and can support a wide range of use cases including text summarization and classification, sentiment analysis, language translation, and code generation.   - New Cohere Models, Command R and R+, are state-of-the-art FMs customers can use to build enterprise-grade generative AI applications with advanced RAG capabilities, in 10 languages, to support their global business operations. These will arrive on Bedrock in the coming weeks.   - New Amazon Titan models with Amazon Titan Image Generator (GA today) helping customers produce studio-quality images, at low cost, using natural language prompts (and applies an invisible watermark to help reduce the spread of disinformation)… along with Amazon Titan Text Embeddings V2 model, which reduces storage and compute costs, while out-performing other leading models on text embeddings.   Tens of thousands of customers are already building real-world production-ready GenAI apps and we're excited for even more customers to get started. https://lnkd.in/g4rkak47

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

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Fellow in-house taxonomists, ontologists, metadata managers, and semantic wizards: what is the name of the team or business unit that you work within? I have the good fortune of getting to rename the "Content Standards" program I lead at Kaiser Permanente IT. My team has determined that the name is too vague to convey the core activities of the program, and leads to confusion with the cross-functional teams we collaborate with. I'm looking for a clear name that will resonate with stakeholders within my org. So I've got a very classic taxonomist question: What to call the program? 🤔 For some context... What my program is responsible for: - Defining and governing standards for metadata, structured data, taxonomy, and ontology for classifying/structuring digital content - Implementing processes and platforms to good metadata hygiene - Assessment and remediation of content metadata What my program doesn't cover: - Writing or editorial style guides - Content design - Content strategy - Site maps or navigational structure - Data governance Any ideas are most welcome!

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One of the more fascinating sessions at #GoogleCloudNext was the advancements in Retrieval Augmented Generation (RAG) for applications. Rather than relying purely on knowledge developed during training, apps equipped with RAG can retrieve information most relevant to a user’s prompt from an external knowledge base (think 10-K filings, public announcements, recent news), then add that information to the prompt before sending it to the generative model. Here's a quickstart article on how to set this up and start exploring the capabilities: https://lnkd.in/dnJeDcyk #GenAI #RAG #AI #GoogleCloud

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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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Huge change at the top of Amazon Web Services (AWS) during a crucial time in the cloud sector. AWS CEO Adam Selipsky is moving on and Matt Garman is taking over. Are you a current or former Amazon employee with thoughts on this change in leadership? Comment below or send me a private message if you prefer.

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