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InfoWorld

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Technology

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Enterprises can measure AI usage, but the hard part is proving that it actually delivered value

12:08
Enterprises are accelerating their AI investments and deploying agents, budgets are ballooning out of control, and leaders are being asked to justify the cost. Yet insight into the return on investment (ROI) can be opaque. Tempo says its new Workforce Intelligence (WFI) offering can help product managers make the case for, and optimize, their AI spend. The collaborative workspace platform provide…

AI demand meets grid capacity

11:15
For the past 15 years, the default assumption about cloud computing has been simple: When enterprises needed more capacity, cloud providers would deliver it. The price might go up. The instance type might be scarce in one region. Maybe procurement would complain. But capacity would eventually show up. That assumption is starting to break. The next major constraint on cloud growth is not chips, co…

Giving agents bounded autonomy

11:15
Everyone in tech is excited about agentic AI . At least, right up until the moment that the agent begins to act less like a minion and more like a master. For instance, a friend of mine joined me to watch a soccer game over lunch the other day, telling me that his agents were back at the office crafting code for him. That’s the good kind of agent. But then there’s OpenAI’s rogue agents hacking in…

Google brings Antigravity under Gemini Enterprise to provide granular spend controls

24.srpna
The promise of AI coding agents is driving enterprise adoption, but managing usage and controlling costs remain key hurdles. Google is seeking to address those concerns by integrating Antigravity into Gemini Enterprise and equipping it with new budgeting and consumption controls. These tools, which were not available as part of Antigravity’s earlier enterprise deployment model through what was fo…

Why your biggest hidden AI cost isn’t GPUs

24.srpna
GPU bills get most of the scrutiny when it comes to AI budget reviews , but there’s another important area that teams overlook. If you’re not preparing and slimming down the data that feeds into a model’s context, you’re merely paying to process noise. Teams building AI applications often default to old habits — collect all the data that might be relevant and worry about what’s important later. T…

Can neoclouds corner AI compute?

24.srpna
Neoclouds have staked their claim to AI compute infrastructure with low-cost GPU-based alternatives and purpose-built features for AI training and inference . But can this new class of alternative clouds actually take business from the hyperscalers? Some argue that neoclouds are poised to capture a growing share of AI-native workloads. Neocloud revenue exceeded $25 billion in 2025, reports Synerg…

Salesforce wants to move AI coding into a shared workspace with Slack Code

21.srpna
Software development is rarely a one-person job. A request or an idea may begin with a product manager or another employee, before moving through developers, designers, reviewers, and other stakeholders on its way to becoming working code. Salesforce now wants to put an AI coding agent directly into that workflow to reduce the number of handoffs and additional time involved in moving a software p…

Backdoored Rust packages hit crates.io, exposing developers to malware at build time

21.srpna
Malicious versions of three Rust packages, including the widely used arrayref, were published to the crates.io registry on August 20, carrying a backdoor that executed automatically when affected projects were compiled. Security researchers at Wiz said the attack also shares infrastructure with recent supply-chain campaigns attributed to North Korean threat actors. The compromised releases were “…

Go hands-on with Python 3.15

21.srpna
Python can’t stop, won’t stop evolving. Python 3.15, due in fall 2026 but available now in its first release candidate, abounds with useful new features worth trying out: lazy imports, a new profiling technology, immutable dictionaries, and its ever-evolving JIT (just-in-time) compiler. Top picks for Python readers on InfoWorld Speed boost your Python programs with new lazy imports Don’t let a fa…

Neoclouds become AI’s new power brokers

21.srpna
The reported $10 billion deal between Anthropic and AI cloud startup Volta is more than just another big-number headline in the AI infrastructure race. It’s a sign of where cloud computing is headed. When a frontier AI company needs massive amounts of specialized compute, and a relatively young cloud provider claims it can deliver that capacity, billions of dollars shift hands before most enterpr…

Canonical and UK’s University of Bristol partner to investigate automated C to Rust translations

20.srpna
Rust is slated to play a huge part in Ubuntu’s future. As a language that allows programmers more control over resource use and performance as well as removing many classes of memory safety issues, it’s an especially good choice for building security-sensitive software. But modernizing huge amounts of the legacy C code that currently powers the Linux operating system has been, and continues to be…

TrueFoundry debuts open-source AI agent harness, claiming up to 75% lower costs

20.srpna
TrueFoundry has launched TrueForge, an open-source agent harness that lets developers build and run AI agents using models from different providers, positioning it as an alternative to Anthropic’s Claude Managed Agents. The San Francisco-based enterprise AI infrastructure startup was founded in 2021 by a team that included former Meta engineers. It initially focused on software for deploying mach…

Anthropic’s Opus language problems may be creating a hidden cost for AI coding

20.srpna
AI coding assistants are supposed to reduce the work required to turn a developer’s intent into working software. But some users of Anthropic’s Opus 4.8 and Opus 5 models say they are having to spend additional time, prompts, and tokens correcting the models’ language, sometimes even routing their output through cheaper AI models to make it usable. In a detailed GitHub issue , Peter Bower, founde…

The five walls standing between a demo agent and a deployed one

20.srpna
Building an AI agent that looks impressive in a demo is now a weekend project. Building one that an enterprise will actually let touch its CRM, its data warehouse, and its customers is a different discipline entirely — and almost none of the challenges associated with shipping an agent live in the model. The challenge is infrastructure around the model, including who it is allowed to be, what it …

Introducing G#: A Go-like language for .NET

20.srpna
Microsoft’s open sourcing of .NET not only has sped up the development of the platform, but also has allowed new languages and features to be built on top of the .NET runtime and compilers. At the same time, the extensibility features of Visual Studio Code make it easy for developers to provide the tooling we need to use those new platform capabilities. One of the more interesting new projects to…
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