Swami Sivasubramanian’s Post

Our teams at Amazon Web Services (AWS) are helping customers transform responsible AI from theory to practice. We developed more than 70 internal and external tools and offerings that support responsible AI, and published or funded more than 500 research papers, studies, and scientific blogs on this important topic. From building new features like Contextual Grounding Check to help detect hallucinations in model responses to introducing transparency resources for customers, we’ll continue delivering groundbreaking GenAI innovation with trust at the forefront. https://lnkd.in/g3X9Aufk

Our newly launched AWS App Studio removes the heavy lifting of developing and running applications. It makes building secure, enterprise-grade applications possible for a whole new group of technical professionals who can build in minutes what would’ve taken a professional developer days to build from scratch. App Studio provides granular access control policies over your data, users, and applications, also gives IT teams visibility into every application, enabling them to track usage and maintain compliance with company policies. Check out this write up from Ron Miller at TechCrunch for an inside look at our latest GenAI-powered service. https://lnkd.in/gc_WqzkK

In 2020, AWS committed to investing hundreds of millions of dollars to provide free cloud computing skills training to 29 million people around the world by 2025. I’m very proud to share our team has met and exceeded this milestone early—today, more than 31 million learners have built their cloud skills through our free training courses and programs. We know cloud trends and use cases are also changing rapidly. Our upskilling offerings are designed to help learners of all ages and knowledge backgrounds keep pace with today’s technology. Congrats to Maureen Lonergan, the AWS Training & Certification team, and our partners for helping us get to this milestone!

GenAI will soon be helping employees at every company make better decisions, faster and in a secure manner. To realize this future, organizations need more than just a chatbot or a single powerful large language model. https://lnkd.in/gTUuNDK7 AWS’s investments in a comprehensive GenAI stack enable customers to rapidly build, customize, and deploy GenAI apps securely. Today at NY Summit, we announced new capabilities for customers to tailor GenAI to their needs and realize the benefits for this technology even faster. Here’s more on our latest launches 🚀: 🟠 With Amazon Q Apps, anyone can build GenAI applications by writing a simple natural language prompt—in seconds. One customer, Druva, created an Amazon Q app to support their request for proposal (RFP) process by summarizing the required information almost instantly, reducing RFP response times by up to 25%. 🟠 Customers can securely customize Amazon Q Developer with their internal code base to get more relevant and useful recommendations from in-line coding and save even more time. For instance, National Australia bank has seen increased acceptance rates for 60%, up from 50%, and Amazon Prime developers have already seen a 30% increase in acceptance rates. 🟠 (In Preview) AWS App Studio enables technical professionals, such as IT project managers, data engineers, and enterprise architects to use natural language to create, deploy, and manage enterprise applications across their organizations. 🟠 Three new features in Amazon Bedrock to power customization for GenAI applications: 1/Fine tune Anthropic’s Claude 3 Haiku model, 2/leverage more data sources for RAG, 3/get the fastest vector search available. 🟠 Our new partnership with Scale AI allows enterprise and public sector organizations to evaluate their GenAI applications and further customize, configure, and fine tune models to ensure trust and high performance in production.

Amazon’s latest chip, Graviton4 is now generally available and brings better performance than our previous chip generations—delivering 75% more memory while using up to 60% less energy than comparable Amazon EC2 instances. We previewed the chip with a few customers, including SAP, Epic Games, and SmugMug and have seen some great results. At Epic, Graviton4 has helped powered Fortnite as fast and as reliably as possible so players can keep enjoying the experience they expect from the game.  Here’s more on what Graviton4 can do for your business and a look back at how we got started: https://lnkd.in/gRaifmcc

Customers are choosing to build their GenAI applications on Amazon Web Services (AWS) because we are focused on doing what we’ve always done best—taking complex and expensive technology that can transform the way businesses operate, and democratizing it for every organization. We’ll continue to bring even more performance, choice, and innovation to every layer of the stack so customers can reinvent new experiences with GenAI. https://lnkd.in/gZT4Kwih

We recently surveyed employers and found that organizations are willing to pay up to 47% more in base salary for employees with AI skills. #HereAtAWS, we know that going back to school to specialize in a new technology can be challenge and a major time commitment. That’s why our training and certifications team developed two new AI certifications to help people demonstrate that they have in-demand knowledge and skills. To help learners prepare for the exams, we have launched a portfolio of trainings that work with any schedule so that learners can become AI practitioners and ML engineer associates at their own pace. From novice to more experienced AI adopters, our certifications will transform the way you work and help your grow your career in the cloud. More in this piece from Forbes. https://lnkd.in/gAkqpWaZ

♻️ AWS data centers can be up to 4X more energy-efficient for running workloads than operating on-premises. How? Our global data center infrastructure is designed to increase efficiency through engineering methods like electrical distribution and cooling techniques. With traditional on-premises data centers, organizations can run hot and overprovision to accommodate unpredictable demand spikes and future growth. Our data and energy experts at AWS can help predict performance and optimize data center utilization on behalf of customers. Read how AWS can help your business reduce carbon emissions by moving your AI/ML workloads to the cloud ➡️ https://lnkd.in/ghHKZMpF

The team at INRIX enjoys the model choice and security they get with Amazon Bedrock to build their production-ready GenAI applications. In fact, most customers on Amazon Bedrock use more than one model as their business needs evolve. This flexibility helps their organizations keep pace with the today’s rapidly changing GenAI landscape. Great to catch up with Bryan Mistele and hear how his team is testing different models with speed as they build and deploy GenAI solutions. Our full conversation is here ➡️ https://lnkd.in/gP7AA38R