Samsung wrapped up its summer Galaxy Unpacked event yesterday, and there weren't too many surprises. Leaks before the event pointed to fresh Galaxy Z Flip and Galaxy Z Fold phones, along with a pair of new watches and more info on the Galaxy Ring. What we got was... announcements of the Galaxy Z Flip 6, the Galaxy Z Fold 6, the Galaxy Watch 7, the Galaxy Watch Ultra and a proper unveil of the Galaxy Ring. Leakers -- is there anything they can't do? Perhaps the one surprise was news from Google that WearOS 5 will debut on the new Galaxy Watches before coming to over products later.

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses. Just recently, generative AI applications like ChatGPT have captured widespread attention and imagination. We are truly at an exciting inflection point in the widespread adoption of ML, and we believe most customer experiences and applications will be reinvented with generative AI. AI and ML have been a focus for Amazon for over 20 years, and many of the capabilities customers use with Amazon are driven by ML. Our e-commerce recommendations engine is driven by ML; the paths that optimize robotic picking routes in our fulfillment centers are driven by ML; and our supply chain, forecasting, and capacity planning are informed by ML. Prime Air (our drones) and the computer vision technology in Amazon Go (our physical retail experience that lets consumers select items off a shelf and leave the store without having to formally check out) use deep learning.

Microsoft has announced the general availability of the Azure OpenAI Service and plans to add ChatGPT in the near future. Currently, Azure OpenAI Service provides access to some of the most powerful AI models in the world--including Codex and DALL-E 2. A "fine-tuned" version of GPT-3.5 will also be available through Azure OpenAI Service soon. We've learned a lot from the ChatGPT research preview and have been making important updates based on user feedback. ChatGPT will be coming to our API and Microsoft's Azure OpenAI Service soon. Azure OpenAI Service was unveiled in November 2021.

Finding scalable solutions for today's global challenges requires forward-thinking, transformative tools. As environmental, economic, and public health concerns mount, Microsoft Azure is addressing these challenges head on with high-performance computing (HPC), AI, and machine learning. The behind-the-scenes power for everything from MRI scans to energy management and financial services, these technologies are equipping customers and developers with innovative solutions that break through the boundaries of what's possible in data and compute, paving the way for growth opportunities that span industries and applications around the world. Microsoft Azure is committed to unlocking these new opportunities for our customers, providing the broadest range of NVIDIA GPUs at the edge, on-premises, in the cloud, and for hybrid environments. At NVIDIA GTC we will demonstrate this commitment by showing how Azure's advanced HPC capabilities, and AI/machine learning in the cloud are driving transformation and making an impact together with NVIDIA's latest technology.

Finding scalable solutions for today's global challenges requires forward-thinking, transformative tools. As environmental, economic, and public health concerns mount, Microsoft Azure is addressing these challenges head on with high-performance computing (HPC), AI, and machine learning. The behind-the-scenes power for everything from MRI scans to energy management and financial services, these technologies are equipping customers and developers with innovative solutions that break through the boundaries of what's possible in data and compute, paving the way for growth opportunities that span industries and applications around the world. Microsoft Azure is committed to unlocking these new opportunities for our customers, providing the broadest range of NVIDIA GPUs at the edge, on-premises, in the cloud, and for hybrid environments. At NVIDIA GTC we will demonstrate this commitment by showing how Azure's advanced HPC capabilities, and AI/machine learning in the cloud are driving transformation and making an impact together with NVIDIA's latest technology.

Welcome to Azure Hybrid, Multicloud, and Edge Day--please join us for the digital event. Today, we're sharing how Azure Arc extends Azure platform capabilities to datacenters, edge, and multicloud environments through an impactful, 90-minute lineup of keynotes, breakouts, and technical sessions available live and on-demand. Now you can build, train, and deploy your machine learning models right where the data lives, such as your new or existing hardware and IoT devices. When I talk with customers, one of the things I hear most frequently is how new cloud-based applications drive business forward. And as these new applications are built, they need to take full advantage of the agility, efficiency, and speed of cloud innovation. However, not all applications and infrastructure they run on can physically reside in the cloud.

Red Hat Inc., a provider of open source solutions, today announced new certifications and capabilities for Red Hat OpenShift aimed at accelerating the delivery of intelligent applications across the hybrid cloud. These enhancements, including the certification of Red Hat OpenShift with NVIDIA AI Enterprise 2.0, as well as the general availability of Red Hat OpenShift 4.10, are intended to help organizations deploy, manage and scale artificial intelligence (AI) workloads with confidence. According to Gartner, worldwide artificial intelligence (AI) software revenue is forecast to total $62.5 billion in 2022, an increase of 21.3% from 2021.1 As enterprises integrate AI and machine learning capabilities into cloud-native applications to deliver more insight and customer value, they need a more agile, flexible and scalable platform for developing and deploying ML models and intelligent applications into production more quickly. Red Hat OpenShift is engineered to provide this foundation and, with today's updates, Red Hat OpenShift makes it easier for organizations to add AI workloads to the industry's leading enterprise Kubernetes platform. While AI is transforming how enterprises do business, operationalizing an AI infrastructure can be complex and time- and resource-intensive.

A year after Mage's creation in early 2021, we have officially launched into general availability. Mage is built on the mission to equip product developers with accessible AI technology so they can build magical products for their users. After working closely with early paying customers, we are confident in Mage's ability to deliver a user-friendly, intuitive, and easy-to-use tool. At its core, Mage's product is a solution for developers to integrate AI into their apps by building ranking models that increase user engagement and retention. Mage works by first connecting existing data sources into a Mage workspace.

After months in early release, Nvidia today announced the general availability of Nvidia AI Enterprise, a new software offering that's designed to bring AI capabilities to the masses via VMware's vSphere. The announcement also includes precertification of AI Enterprise running on a handful of industry-standard X64 servers (equipped with GPUs, of course), as well as a partnership with Domino Data Labs for MLOps. "AI is real and it has real value," said Manuvir Das, Nvidia's head of enterprise computing. Das knows it's real because Nvidia has helped thousands of customers deploy AI into their operations. However, AI has also proven to be difficult to implement, he said. "And the reason is because, on the one hand, it's an end-to-end problem, from the acquisition of data to the training to produce models and then deploy the models to production," Das said.

Amazon users in the UK can now try and answer questions that Alexa doesn't know. The US tech company has announced the general availability of Alexa Answers in the UK – a crowd-sourced method of making its Alexa digital assistant more intelligent. The online hub offers users the chance to answer questions that Amazon's smart assistant Alexa didn't know the answer to. Users just need to sign in to their Amazon account at the Alexa Answers webpage and start browsing unanswered questions that they think they can answer. The UK launch will help Alexa get smart on topics specific to the UK, including the Spice Girls and the two-pound coin, Amazon hopes. In return for their knowledge, Alexa Answers users can earn points and get onto leaderboards on the hub.