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Google Next was on 🔥! Here's all 218 announcements in one place. https://lnkd.in/gE2XuiqF Some of my favs: >> Gemini in BigQuery, Databases, SecOps, and more! >> Vertex AI has expanded grounding capabilities, including the ability to directly ground responses with Google Search. The models are awesome... but Vertex AI brings them to life with enterprise security, ops and controls. >> Google's AI Hypercomputer - the best in the industry according to independent review. The most open, secure, and responsible way to do AI. >> Google Axion - Semiconductors are very very important. Chips specially designed for an AI/ML future, offering more efficient processing and choice. >> BigQuery Studio & data canvas - A notebook-like experience with embedded visualizations and natural language support courtesy of Gemini.  >> Google Vids - Great addition to Workspace for content creators. >> Document Tabs in Google Docs - Very handy for more nuanced doc structures. Too many to list! #GoogleNext #GoogleforGovernment

☁ Google Cloud Next '24: Empowering Data & AI Leaders 🚀 Big news for anyone who works with data or AI! Google just announced a bunch of cool new features that will make these powerful tools easier to use and understand. Here's the gist: 🔊 Talking to your data: Imagine asking your data questions in plain English, like "What were our top selling products last month?" That's what tools like Gemini for BigQuery and Looker can do! 🤖 AI that helps you code: Writing code can be tough, but new tools like Gemini Code Assist are like having an AI helper who can write code for you, find bugs, and explain things in simple terms. 🚀 Smarter AI for everyone: Google's Vertex AI platform is getting even more powerful, with tools for creating images from text, building chatbots, and more. 🔐 Keeping your data safe: New AI-powered security tools can help you protect your data from threats and make sure only the right people have access to it. Google Cloud is committed to making data and AI accessible to everyone, regardless of their technical expertise. This means businesses of all sizes can now use these powerful technologies to solve problems, make better decisions, and innovate faster. #GoogleNext #DataAnalytics #AI #BusinessMadeEasy

Someone sure has been keeping count. We announced 218 things at #Google #Next ‘24. Here are my personal favorites (in no particular order); 🧠 Gemini for everything: From Duet AI to code assists and managing enterprise security operations, #Gemini is improving productivity across a spectrum of things. For instance, for enterprise #security, Gemini can enhance the efficiency of threat intelligence by crawling for relevant Open-Source Intelligence (OSINT) articles, ingesting information and providing concise summaries 📹 Google Vids: Now, create immersive videos powered by AI right from your #workspace (Docs, Sheets and Slides) 👾 AI Infrastructure Innovations: #TPU v5p hypercomputer is now generally available with multislice training, multihost inference and extensive support for modern open software such as #JAX, #PyTorch and #Tensorflow 💠 A3 mega compute with #NVIDIA #H100 #GPUs and a whole host of NVIDIA Blackwell GPU platform for the most demanding and advanced AI, data analytics and HPC workloads 🗃 Parallelstore: A high performance, managed parallel file service with built-in caching for extremely high IOPS, bandwidth and ultra-low latency needs for AI/ML workloads 🎰 Hyperdisk ML: A next-generation block storage service optimized for AI inference/serving 💡 Vertex AI expands features with prompt management, rapid evaluation, Auto SxS for A/B testing among others and #Vertex AI Agent Builder can now create AI agents using natural language or a code-first approach 🔀 Private Service Connect Transitivity - a much sought-after feature now enables services in a spoke VPC to be transitively accessible from other spoke VPCs 🔐 Cloud #NGFW Enterprise powered by Palo Alto provides provides network threat protection and network security posture controls for org-wide perimeter and Zero Trust microsegmentation 🎞 Database Studio - Gemini powered database AI assistant, brings SQL generation and summarization capabilities to our rich SQL editor on GCP 📈 BigQuery Innovations: continuous queries now offer the ability to process SQL continuously over data streams, enabling real-time pipelines with AI operators or reverse ETL. #BigQuery can now connect models in Vertex AI with enterprise data, without having to copy or move data out of BigQuery Google Cloud Google For a full list of the 218 announcements check out: https://lnkd.in/g9Br87jn

Check out this wrap up to get the biggest highlights from #GoogleCloudNext! With all of the #GenAI capabilities emerging and increasing our productivity in so many ways, it's such an exciting time to be in tech and at #google!

My 𝐓𝐎𝐏 𝟓 for Google Cloud Next '24: A Look Back 👉 Google Cloud Next '24, held on April 10, 2024, showcased a range of advancements designed to propel businesses forward with Google Cloud's innovative technologies. Here's a concise summary of the event's highlights: 👉 Focus on AI and Developer Experience The event heavily emphasized Artificial Intelligence (AI) and developer tools, demonstrating Google Cloud's commitment to revolutionizing these areas. Top 5 Announcements: 1- Powerhouse Processing Unveiled: Google announced two significant hardware advancements: 👉 General availability of the TPU v5p chip: This powerful chip significantly boosts processing capabilities for demanding tasks. 👉 Introduction of Axion, a custom Arm-based CPU: Designed for data centers, Axion is optimized for efficiency. 2- Next-Gen Language Understanding Arrives: The next generation large language model, Gemini 1.5 Pro, boasts a breakthrough in understanding long sequences of text. It's now in public preview, opening doors for advanced NLP applications. 3- Vertex AI Gets Grounded: New features in Vertex AI bridge the gap between AI models and the real world, allowing businesses to harness AI's power for impactful results. 4- Empowering Developers with AI: Gemini Code Assist, an AI-powered coding assistant, was unveiled. This tool streamlines development by suggesting code completions and identifying potential issues. 🌟 5- Google Workspace Gets Smarter: Google Workspace received a boost with the introduction of Vids, an AI-powered video creation tool, alongside other enhancements to improve user experience. More info: https://lnkd.in/e7j66c5g Google Workspace Gemini AI Google Cloud Google Developer Groups (GDG) Google Cloud Partners #AI

Huge amount of AI-relevant news coming out of Google Cloud Next this week. But perhaps none more important than Google's apparent emphasis on relying on partners to develop sovereign clouds. On its face, this would appear mostly to be a tip of the hat to adhering to data sovereignty rules that restrict flow of data in European Union countries. However, one could envision a path - over time - where individual organizations can establish their own "sovereign data pools" and then leverage computing horsepower from Google to faciliate AI applications that organizations can run on their own sets of secure proprietary data. This is potentially huge for my coverage area of "intelligent video" - business-oriented applications that sit at the intersection of AI capabilities and digital video platforms. At some point, organizations are going to have to fill all those sovereign data pools with actual data. Unfortunately, people are lazy. You can bet that many will chafe at the idea of writing memos or creating other written content to train AI systems. But they might be amenable to sitting down with colleagues and talking about the nuances of their on-going role at an organization. AI systems will be able to take that video input and - in theory - turn it into something useful. Indeed, I can easily make the case that we are at the cusp of a business era where video will be the preferred venue for creating, storing and sharing corporate knowledge. Private data pools just may be the trigger that makes that vision a reality. #ArtificialIntelligence #CorporateData #BusinessVideo #KnowledgeManagement

Have you ever wondered how to implement robust tenant isolation for your multi-tenant applications using Amazon Bedrock and agents? This insightful blog unveils a powerful approach to scaling your cloud solutions while maintaining strict data separation and privacy. By leveraging Amazon Bedrock's capabilities, you can build secure, scalable multi-tenant systems that cater to diverse customer needs. The use of agents ensures comprehensive isolation, preventing unauthorized data access across tenants. Let's get building! 🏗️☁️👩💻🧑💻 🏷 Feel free to mention someone who would benefit or might be interested in this content. 💬 Are you using Amazon Web Services (AWS)? Share your experiences in the comments. ♻ Use 'Repost' to help others discover this content. ✨ Follow me for more news, blogs, and tips on data analytics, generative AI, machine learning, and serverless technologies. #aws #awscloud #generativeai #genai #enterprisegrade #multitenancy #bedrock #amazonbedrock

🚀 Supercharge Your AI with Microsoft Azure! ☁️🤖 Ready to build an AI-ready infrastructure? Microsoft Azure has everything you need to get started and scale effectively. Here’s a breakdown: 🔹 Virtual Machines (VMs) Choose high-performance VMs tailored for AI workloads, offering the flexibility to scale up or down based on your needs. 🔹 Storage Solutions Leverage Azure's scalable storage options to handle massive datasets efficiently, ensuring quick data access and retrieval for your AI models. 🔹 Networking Set up secure and optimized network configurations. Azure provides tools to manage traffic, ensure low latency, and maintain robust security protocols. 🔹 Security Implement best practices to safeguard your AI applications. Azure’s comprehensive security features help protect your data and infrastructure from threats. 🌟 Why Azure for AI? Azure’s AI and machine learning services provide powerful tools and frameworks, such as Azure Machine Learning and Cognitive Services, making it easier to develop, train, and deploy your AI models. Plus, with seamless integration and global scalability, Azure is ideal for both startups and enterprises looking to innovate in AI. Dive into the detailed guide and start building your AI infrastructure today! Check out the full article here. 👇 👇 { https://lnkd.in/dqVguUiB } Kudos | Credit: Chris Pietschmann #AI #Azure #CloudComputing #TechInnovation #MachineLearning #Infrastructure #AIReady

💡The future of mobile devices with no apps, no windows, just AI💡 Such future requires strong foundations that Deutsche Telekom is building using a One Data Ecosystem (ODE) approach, an interconnected data platform that unifies its data management and processing operations, powered by BigQuery and Apache Iceberg tables at its center. The built-in AI capabilities and the Gemini 1 million token context window helped Deutsche Telekom's data and development teams to move 10 times faster, thanks to Google Cloud's open and vertically integrated ecosystem. As customers adopt platforms with merged Data and (Gen)AI capabilities, they move away from the traditional linear approach: We no longer just land data on a data platform, store it in a consumable format, waiting for someone to "pick up insights". Any data ingestion now enriches the existing data ecosystem, where data & AI agents route subsequent relevant data to the next application with immediate action, like in a "circular (data) economy". Details in the article below! #dataanalytics #AI #gemini #googlecloud https://lnkd.in/g979_KkU