Amazon is predicting more than $100 billion in capital expenditure for AI in 2025. The majority of that will be invested in the AWS cloud division, according to Amazon President and CEO Andy Jassy, indicating Big Tech is not planning to back down on AI. Amazon’s Q4 profit hit $20 billion, an 88 percent increase over the same period in 2023, and full year profit was $59.2 billion, a 94 percent increase, on revenue of $638 billion, an 11 percent rise. On an earnings call, Jassy said the $26.3 billion in Q4 2024 capex spending “is reasonably representative” of what the company can be expected to spend on an annualized basis this year. Continue reading AWS Cloud Computing Generates Half of Amazon’s Q4 Profits

CES 2025 kicked off appropriately with a high-powered panel on AI’s impact in entertainment. Under the expert moderation of our friend, and former president of the Hollywood Professional Association, Seth Hallen, three of the industry’s most senior leaders spoke candidly about what the technology means to the industry: Samira Panah Bakhtiar (GM of Media and Entertainment, Games, and Sports at Amazon Web Services), Academy Award-winner Ed Ulbrich (Chief Content Officer and President of Production at Metaphysic), and Richard Kerris (GM of Media and Entertainment at Nvidia). Continue reading CES: Industry Leaders Highlight Transformative Potential of AI

Deloitte Consulting Chief Technology Officer Bill Briggs opened a CES panel discussion on Tech Trends 2025 with the declaration that, “the pace of change in technical has never been faster and the magnitude has never been greater.” “How do we translate that into the investments we need to be making and how we think about products and customer experiences?” he asked. Much of what faces us, he stressed, is “more knowable than we feel it is.” In Deloitte’s 16th annual Tech Trends report, the company lists six tech trends, with artificial intelligence as the common thread. Continue reading CES: Deloitte CTO on Tech Trends 2025 from AI to Quantum

After years of focusing on AI infrastructure, Amazon is plunging into the frontier model business with the Nova series. The new family of generative AI models includes the text-to-text model Amazon Nova Micro and Amazon Nova Lite for fast, mobile-friendly apps, and at the upper echelon the multimodal Amazon Nova Pro and Amazon Nova Premier for processing text, images and video. Amazon, which is heavy into production via Amazon Studios and MGM, is also launched two specialty models focused on “studio quality” output — Amazon Nova Canvas for images and Amazon Nova Reel for video. Continue reading Amazon Dives into Generative AI with Nova Foundation Models

Amazon Web Services is building a supercomputer in collaboration with Anthropic, the AI startup in which the e-commerce giant has an $8 billion minority stake. Hundreds of thousands of AWS’s flagship Trainium chips will be amassed in an “Ultracluster” that when it is completed in 2025 will be one of the largest supercomputers in the world for model training, Amazon says. The company announced the general availability of AWS Trainium2-powered Amazon Elastic Compute Cloud (EC2) virtual servers as well as Trn2 UltraServers designed to train and deploy AI models and teased next-generation Trainium3 chips. Continue reading AWS Building Trainium-Powered Supercomputer with Anthropic

Amazon Web Services has opened AWS Data Transfer Terminals in Los Angeles and New York. These secure physical locations allow customers to bring their storage devices for fast uploads to the AWS Cloud. The enterprise service can significantly reduce data ingestion time for use cases including uploads of “large datasets from fleets of vehicles collecting data in metro areas for training machine learning models” as well as “digital audio and video files from content creators for media processing workloads” and local government organizations compiling geographical and other smart city data. Continue reading AWS Opens Physical Locations for Fast, Secure Data Uploads

Google DeepMind has come up with an error correction technique it says will make quantum computers more reliable, particularly at scale. While quantum computing holds tremendous promise — potentially able to solve in just a few hours problems it would take a conventional computer “billions of years” to figure out, Google claims — the systems are notoriously unstable, due to the delicacy of the “quantum state.” AlphaQubit is an AI-based decoder that identifies quantum computing errors with accuracy. Combining DeepMind’s machine learning expertise with Google Quantum AI error correction, the technique advances efforts to create a reliable quantum computer. Continue reading Google DeepMind Touts AI-Powered Quantum Error Detection

Nvidia has taken the wraps off Omniverse Blueprint, a real-time physics engine designed to create digital twins. The software is optimized for computational fluid dynamics (CFD), allowing virtual exploration and refinement of objects that must function in the real world — things like automobiles, airplanes, ships — that are put to everyday use and tasked for production in the field and on set. One of the first use cases is a virtual wind tunnel that lets users simulate and visualize fluid dynamics at interactive speeds, even when changing the vehicle model as it navigates the tunnel. Continue reading Nvidia Unveils Omniverse Blueprint Real-Time Physics Engine

Google Cloud has begun advising customers it will require multi-factor authentication (MFA) for all business and enterprise users in 2025. That means customers who rely only on a password will have to add secondary authentication. The program is being implemented in a “phased approach” that begins now and will extend to all worldwide business users next year. The security precaution will remain optional for most of those using personal accounts. Google’s move comes after similar implementations enacted by rival cloud giants AWS and Microsoft earlier this year. MFA adds a layer of protection against hacking. Continue reading Google Begins Mandatory Multi-Factor Authentication Logins

Amazon Prime Video has begun offering X-Ray Recaps, summaries of favorite TV shows that catch you up without risk of spoilers. The generative AI-powered feature can create snapshots of any requested view — episodes, pieces of episodes or full seasons of TV shows. “Whether you’re a few minutes into a new episode, halfway through a season” or took a break to get popcorn and need a quick refresher, X-Ray Recaps will catch you up “personalized down to the exact minute of where you are watching,” according to Amazon, which assures “guardrails are applied” to ensure the generation of spoiler-free summaries. Continue reading Amazon Prime Video Offers AI-Powered Recaps of TV Shows

Amazon reported major revenue and profit increases during its third quarter, beating Wall Street’s forecasts, based largely on the company’s e-commerce sales and increasing demand for its cloud services. Capital expenditure, which reached a record amount following Amazon’s recent investments in artificial intelligence, will maintain its momentum as the company plans $75 billion capex on developing generative AI services over 2024-2025. “The faster we grow demand, the faster we have to invest capital in data centers, network gear and hardware,” explained CEO Andy Jassy. “We invest in all that upfront in advance of when we can monetize it.” Continue reading Amazon Pushes AI, Records Growth in Q3 Revenue and Profit

Microsoft is previewing GitHub Copilot for Azure in an ambitious expansion of its AI app development toolkit that some say could fundamentally change how developers build software for the AI era. The new premise is that switching from one software to another, as developers often do, should be seamless, not disruptive — sort of a real-time language translation and integration system for code. To fend off the move by Microsoft, AWS announced it is making its Q Developer AI code assistant available as an inline chat add-on accessible from IDEs like JetBrains and Microsoft’s own Visual Studio. Continue reading Microsoft, Amazon Jockey for Lead Among AI Code Assistants

Databricks Apps is a new platform designed to make building internal data and AI applications something that can be done in a few clicks. Available now in public preview on AWS and Azure, the template-based system lets users weave data and frameworks of choice into full-featured apps that can run in the Databricks environment. The company says the system can code and deploy a secure data app with AI integration in five minutes. “Ideal use cases include data visualization, AI applications, self-service analytics and data quality monitoring,” according to the San Francisco-based company. Continue reading Databricks Previews Toolkit for Internal Data, AI App Creation

Intel has released the second iteration of AI Playground, an app it debuted this summer as “a user-friendly AI starter app” designed to simplify artificial intelligence on Intel AI PCs. This latest version works with the new line of Intel Core Ultra 200V series processors, designed for AI under the codename Lunar Lake. The idea is to help those using Intel PCs get comfortable using AI functionality without any special account, or even an Internet connection. Intel also launched two new artificial intelligence chips, the Xeon 6 CPU and Gaudi 3 AI accelerator. Continue reading Intel Updates AI Playground App and Launches New AI Chips

Accenture is forming an internal Nvidia Business Group staffed with 30,000 global employees trained to help clients “reinvent processes and scale enterprise AI adoption with AI agents,” the consulting firm announced. Accenture will also use its AI Refinery platform to help companies customize AI models and agents using the full Nvidia AI stack including AI Foundry, AI Enterprise and Omniverse. “With generative AI demand driving $3 billion in Accenture bookings in its recently closed fiscal year, the new group will help clients lay the foundation for agentic AI functionality,” Accenture said. Continue reading Accenture Has Plans for Scaling Enterprise AI with Nvidia Unit