Gemium AI’s Post

✨Google has been recognized as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q1 2024✨ You can find the detailed report here - ➡ https://lnkd.in/gJPFYKDb Some important points to note are: 🔷Google received the highest scores of any vendor evaluated in both the Current Offering and Strategy categories in this report. 🔷Google’s integrated solution stack right from optimized hardware, IAAS, PAAS and SAAS versions of AI solutions, high performance execution of complex models, frameworks, and flexible consumption models allows organizations to rapidly and cost-effectively develop AI functionalities, features and products 🔷With Google you can do from data ingestion and data cleanup all the way to training, fine tuning, and inferencing/serving your AI solutions at a global scale 🔷You can leverage 130+ available foundation models from Google, third-party partners, and the open-source community to develop enterprise grade applications on Vertex AI 🔷You can focus on training, fine tuning and deploying your model by leveraging Managed MLOPS, configurable security, governance and dynamic workload scheduler 🔷Leading AI companies currently leveraging Google Cloud’s AI infrastructure are Anthropic, Assembly AI, Lightricks, Character.AI, Wendy’s, Canva, Uber, Deutsche Bank and many more… Google Cloud #googlecloud #googlecloudplatform #generatieveai #aibusiness

Sprinklr improves performance by 20% and reduces cost by 25% for machine learning inference on AWS Graviton3 Sprinklr’s mission is to unify silos, technology, and teams across large, complex companies. To achieve this, we provide four product suites, Sprinklr Service, Sprinklr Insights, Sprinklr Marketing, and Sprinklr Social, as well as several self-serve offerings. Each of these products are infused with artificial intelligence (AI) capabilities to deliver exceptional customer experience. Sprinklr’s specialized AI models streamline data processing, gather valuable insights, and enable workflows and analytics at scale to drive better decision-making and productivity. This blog post describes the scale of Sprinklr’s AI offerings, the challenges with diverse AI workloads, and how they optimized mixed AI workload inference performance with AWS Graviton3-based Amazon EC2 c7g instances. With Amazon EC2 C7g instances, Sprinklr achieved an up to 20% throughput improvement, 30% latency reduction, and reduced its cost by 25–30%. Learn more in the detailed blog: https://lnkd.in/gATkr8TE #amazon #aws #ec2 #graviton #cloud #sustainability #aiml #inference

What if you could ask plain-language questions about your contracts and get immediate, actionable answers? Generative AI is revolutionising how businesses unlock insights from their agreements. Forget sifting through mountains of documents - ask clear questions, get clear answers, benchmark supplier costs, identify red flags, and unearth hidden value, all in seconds. Go Reply's Contract Analytics AI, powered by Generative AI and Google Cloud, is your secret weapon. We help organisations: • Slash review time with AI-powered analysis. • Identify inconsistencies that could cost you money. • Uncover non-compliance issues before they become problems. • Surface hidden value trapped within your agreements. Stop playing contract roulette! Take control with actionable intelligence. Contact me today to find out more! #GoReply #GoogleCloud #ContractAnalysis #GenerativeAI https://lnkd.in/d4mGAeTt

Almost off the charts 📈... Google Cloud named as THE leader in AI infrastructure in the latest Forrester Wave report. AI cannot run in the actual clouds, so optimised infrastructure will determine the cost, performance and overall success of Enterprise AI projects. “Doing AI efficiently at Google-scale is a feat that few other companies in the world are capable of. Google brings that experience and infrastructure to Google Cloud AI Infrastructure. Google’s early and ongoing investments in AI for its other businesses drives its vision of “where the puck is going to be” for enterprise AI. Google’s superior roadmap and innovation is to make Google-scale accessible to all customers whether a bright tiny startup or large global enterprises whilst at the same time abstracting the complexity with easy-to-use tools.” Forrester. Read the entire report here: https://lnkd.in/eMdqHJtU #googlecloud #ai #forresterwave #customersuccess #innovation #

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Generative AI is the next frontier in innovation, but how can it solve real-world challenges? In Google Cloud's no-cost webinar, we'll unveil the "Three-Ingredient Recipe" to propel you ahead of the curve. Learn how to leverage Google's cutting-edge technology: 🔷 Gemini: Prototype new ideas and build next-generation creative AI applications. 🔷 Cloud Run: Deploy your solutions seamlessly with a scalable and reliable platform. 🔷 AlloyDB: Fuel the power of RAG (Retrieval Augmented Generation) for accurate and relevant AI responses. This webinar is perfect for developers, architects, and anyone looking to leverage AI for cutting-edge solutions. Register here → https://lnkd.in/gEUheAAn #GenAI #Google #Gemini #Cloud

On-premises computing is not new, but extending AI enabled cloud infrastructure from the cloud to on-premises deployments is. “AI anywhere,” AI-optimized cloud infrastructure, AI models, and on-premises computing, is unlocking new opportunities for decision makers and developers alike to transform industry and public sector use cases including customer experiences, to capitalize on new revenue opportunities, and also boost business efficiencies. Google Cloud is thrilled to share the launch of a new video series, "AI anywhere," designed to showcase the transformative power of Google Distributed Cloud. Building modern customer experiences is no small feat. It's complex, costly, and time-consuming. But what if there was a way to simplify this process and discover new possibilities for your industry? Cameron Peron, Lead Product Marketing Manager for Google Distributed Cloud connected, kicks off the series and other Google Cloud experts will follow him to delve into how Google Distributed Cloud's unique blend of AI, cloud, and edge technologies can revolutionize your ability to create cutting-edge customer experiences. Key takeaways from the video: - How to overcome the challenges of building modern customer experiences - Real-world use cases across retail, manufacturing, financial services, and healthcare - How to leverage Google Distributed Cloud to drive innovation and growth Watch the first video now and visit our website to learn more about Google Distributed Cloud → https://goo.gle/4aUy5sM #tcs #techcommunity #softwaredevelopment #supplychain #manufacturing #healthcare #sustainability #artificialintelligence #indiangovernment #environment #governance #india #mygovindia #wiprocloudstudio #google #adanigroup #RELIANCE ADA GROUP

Google Cloud has been busy with AI innovations in recent months. Following announcements of improvements in its Gemini model, today more than 90% of Gen AI unicorns today are Google Cloud customers At Google Cloud’s Next 2024 event, Thomas Kurian - CEO of Google Cloud - shared some of the company's most recent innovations and partnerships, from the latest AI features across its platform to how it is working with companies such as Mercedes-Benz AG, Uber and Palo Alto Networks From Amber Jackson #Technology #AI #GoogleCloud

Denodo Partners with Google Cloud on the Future of Enterprise Innovation with New Data Virtualization and Generative AI Integration    Exciting News!   @Denodo is thrilled to announce our partnership with @Google Cloud on the future of #enterpriseinnovation!   Our integration enables customers to accelerate AI-ready #datadelivery and implement #RAG techniques for expanded #generativeAI use cases. Read this announcement to learn more about our cutting-edge solutions! #DataVirtualization #GoogleCloud #GoogleCloudPartners https://buff.ly/3TTnwj0

A while back, I attended a Digital Commerce event hosted by Google Cloud and Valtech. Listening to Mark Steel, he shared an interesting #checklist on how to choose the #right #topic for Proof Of Concept (#POC) on #generativeAI. 1. Is it a priority? Is POC topic aligned to strategy, core to my business? 2. Can I scale it? Do we have data to support this POC at scale? 3. Value creation opportunity? Does it have potential to drive value at scale? 4. Is Gen-AI needed? Am I force-fitting it? Can I solve this topic better with other tools? A POC will only be #successful if people really care about what it solves. You are one wrong POC away from missing the AI bus. I am curious now, what's your #first #use-case for #GenAI?