Chris Casey’s Post

As an example - KONE is harnessing generative artificial intelligence (AI) to increase the power and performance of its connected services on a global scale. A leader in the elevator and escalator industry, it relies on world-class cloud solutions. This is why—says senior vice president and chief innovation officer Amy Chen—KONE uses Amazon Web Services (AWS) Internet of Things (IoT) and generative AI technology. From making data secure and easily accessible, to being able to apply a range of foundation models in Amazon Bedrock, and rapidly testing ideas in the AWS Generative AI Innovation Center. The solutions KONE discovers in the AWS Cloud are helping to make buildings smarter and more connected. Watch customer case here: https://lnkd.in/dxqUvR47

Proud to be part of the team leading the way. Four outcomes we focus on when helping clients drive their GenAI agenda and are highlighted through the technologies mentioned - 1/Accelerate GenAI exploration in a "safe space", 2/Accelerate use case design and estimation (Time to Proof Of Concept (POC)), 3/Provide a foundation for application design (Time to Production), 4/Provide controlled access to backends (Overall Cost, Time to Value).

Exciting post today from Amazon Web Services (AWS) CEO Adam Selipsky highlighting the rapid adoption of Amazon Bedrock for GenAI use cases. The intersection of AI and APIs is a space to watch. Amazon API Gateway can be a key tool enabling customers to leverage GenAI, particularly in regulated and compliance-oriented industries. Abstraction, access control, and usage management are just some of the value-adds. A recent AWS blog post outlined how to architect a "Generative AI Gateway" on AWS using Amazon API Gateway: https://lnkd.in/gpj6dwYZ

As the use of Generative AI (GenAI) continues to grow, organizations face unique challenges in managing costs, dividing shared expenses, and connecting their AI investments to measurable business outcomes. We need innovative tools that offer transparency in LLM usage to enable us to embrace the power of GenAI while ensuring maximum efficiency and cost-effectiveness. #aws #bedrock #llmops #genai

"Massive opportunities ahead" - AWS CEO. What's coming is not only a game changer for AWS customers, but it's creating a MASSIVE opportunity for AWS partners. Buckle up! 🚀 #GenAI #GenerativeAI #ArtificialIntelligence #AI

An interesting article on how Amazon’s homegrown chips are helping customers power complex AI and general compute workloads to process enormous amounts of data at a lower cost. 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.

GenAI will transform every interaction and business the same way “Mobile” did. If you want to learn more about how AWS marketplace is accelerating genAI adoption for national security and defense check out Bryana Tucci and Christine Williams talk.

AI competition is weird. But this goes deeper than "Which LLM is best??" or companies on the left trying back the winning horse. Behind the scenes is a cloud war and a chip war - that's where the money is. Let’s take a look: 1. This is a cloud war. Let’s take Anthropic, for example. They’re committing to use AWS as its primary cloud provider. That could translate into billions in revenue for AWS as Anthropic scales up. By investing in Anthropic and its large language model Claude, Amazon is positioning itself to reap the benefits of the growing AI market. As Claude gains popularity and drives more businesses to adopt AI solutions, it funnels money back to Amazon through increased usage of AWS services. This strategic investment not only strengthens Amazon's position in the AI space but also creates a virtuous cycle of growth for its cloud business. Guys - everyone is doing this. Investing huge amounts and getting it back in cloud services. That should command our attention. The war between MS Azure, Google Cloud and AWS is worth billions and it’s only going to get bigger. 2. This is a chip war. Chips are everything - they’re the engines. And up till now Nvidia has ruled the world. But let’s just look at the last few weeks: Nvidia: The company announced the H200 GPU on November 13. This new chip is designed for AI work and upgrades the H100 with 1.4x more memory bandwidth and 1.8x more memory capacity. The first H200 chips are expected to be released in the 2nd quarter of 2024. Microsoft: Microsoft unveiled the Maia 100 artificial intelligence chip on November 15. The chip is designed for AI tasks and generative AI. The company hasn’t provided a specific timeline for the release of the Maia 100, but it is expected to arrive in early 2024 Amazon: Amazon Web Services (AWS) announced the next generation of two AWS-designed chip families—AWS Graviton4 and AWS Trainium2—on November 28. These chips are designed for a broad range of customer workloads, including ML and AI applications - that was at their big show in Vegas. And Google has jumped in to this race as well. So what's happening in this graphic? These investments are hedges. They're land grabs for cloud services They're trying to get their chips to be the dominant chips. Gonna be an interesting year ahead.

Amazon Web Services (AWS) re:Invent event brought about numerous exciting announcements, but one was particularly exciting which revealed the extensive partnership between AWS and Apple. This collaboration sheds light on how AWS plays a crucial role in powering everyday features like iCloud, Siri, Apple Maps, and Apple Music that we all rely on. Benoit Dupin, Senior Direct of AI and Machine Learning also shared a 40% efficiency boost achieved through the utilization of AWS Inferentia and Graviton chips, and the staggering scale of support for iCloud services was unveiled, with over 2 trillion objects stored in S3 storage. #aws #apple #ai #ml #genai #partnership For more details on this partnership, you can read the article here: [Link to CNBC article] #AWS #Apple #CloudComputing #TechInnovation #iCloud

Speed, flexibility and efficiency are all top priorities when it comes to choosing the right #AI tools. 🛠️ Excited to share that #AWS Amazon Bedrock just added a new update that will help users across all three of these areas. Bedrock now includes an automating cross-region inference routing feature that will manage inference routing requests during traffic spikes in AI workloads. 🚦 As a result, developers will no longer have to spend time and effort predicting demand fluctuations and can better focus on enhancing reliability, performance and efficiency. #ChrisOnCloud #AWS #Amazon #cloud #cloudcomputing #genai #generativeai #mlops #aiml #machinelearning #moreLLMs #LLMchoice #AWSbedrock #Sagemaker Read more from InfoWorld here: