Healthcare AI's next test is integration While advanced AI excels at processing clinical data, healthcare's true test lies in overcoming deeply fragmented administrative workflows. The entrance of major AI companies into healthcare is a meaningful and welcome development, accelerating the technical foundation available to the industry. Their models are increasingly capable of processing long clinical records, interpreting complex terminology, comparing documentation against evidence and generating coherent summaries from large volumes of information. For clinicians, operators, and administrative teams who spend significant time searching through fragmented data, these advances are helping reduce cognitive burden and make high-value information easier to access. But healthcare leaders should not confuse model capability with operational capability. Healthcare's administrative challenges are caused by fragmented information, fragmented workflows, and fragmented accountability, not a lack of information.

If you work regularly with PDF documents then the chances are you're already very familiar with PDFelement by Wondershare . This hugely popular software is the go-to for many people when they want to create, edit, sign or convert PDFs. Now, with the arrival of Version 13, there are powerful new AI tools that will make life even easier for those that need to work with multiple forms of documentation or have to manage agreements across a team. So, here's how PDFelement V13 can streamline your workload and help you study, research or prepare presentations, all while saving you time. Spaces is one of the standout new features in PDFelement V13. This is a simple, organized workspace where you can gather together information from various sources (PDFs, YouTube URLs, text documents, Powerpoint files, spreadsheets, notes and other reference materials) then ask the AI contextual questions about the content.

Continuing the trend of trying to make Windows 11 suck less, Microsoft today announced Project Zenith, a new "ready-to-code distraction free Windows experience" for powerful developer hardware with 64GB of RAM and gobs of memory bandwidth. Project Zenith will first be available on AMD's Ryzen AI Halo mini-desktop at first, with more devices to follow. Clearly, the focus is on local AI development -- a timely move as cloud AI token costs start to rise. Microsoft's Windows Platform CVP Logan Ayer says Project Zenith will let developers "run 30B parameter models locally and unmetered." The goal, really, is to cut the crud out of Windows to create a more Linux-like experience.

As agentic AI moves from pilots to enterprise-wide deployment, orchestration, data, governance, and clear business objectives are becoming critical for scaling, says chief operating officer at NiCE Arun Chandra. As agentic AI moves from experimentation toward enterprise deployment, the challenge is figuring out how agents can work together, connect to the systems and data they need, and operate safely across the workflows that run a business. Although agentic AI has been adopted by some 80% of Fortune 500 companies, progress toward meaningful scale remains uneven, with many organizations still working through isolated pilots. For Arun Chandra, chief operating officer at NiCE, the first step is moving beyond experimentation for its own sake. "Everybody's trying to figure out what can we do with this technology?" he says. But scaling requires a clearer connection to business strategy: Organizations need to define whether they are trying to increase revenue, reduce costs, or pursue another strategic or financial objective.

Simplifying and integrating enterprise technology can help companies move faster, respond to disruptions, and build a stronger foundation for AI, says Harish Manohar, SAP IT Director at Jabil. As companies scale, the technology supporting operations can become a liability just as quickly as it becomes an asset. Disconnected systems, site-specific tools, spreadsheets, and manual workarounds can create data silos that make it harder to spot problems early, coordinate responses, and make decisions with confidence. For Jabil, a global manufacturing company with more than 100 sites across more than 30 countries, the answer has been to make integration and simplification a priority. The company adopted a "simplify-first, then-innovate mindset," says Harish Manohar, SAP IT director at Jabil, recognizing that adding new technologies without first reducing complexity risks creating more risk. The goal is to standardize processes, consolidate where possible, and establish a more consistent data backbone across the organization. "Any innovation without simplification is going to add more complexity," Manohar says. That philosophy also changes how Jabil approaches modernization. "Any modernization or transformation should add measurable business value," Manohar says. The company is focused on connecting processes end-to-end across its supply chain and creating a foundation that can scale consistently across regions.

When you purchase through links in our articles, we may earn a small commission. AutoCAD LT combines precise 2D drafting, workflow automation, DWG compatibility, and connected collaboration tools in a one-year subscription for $199. Some projects need precise 2D drawings, not a maze of 3D tools you will never touch. AutoCAD LT keeps the focus on professional drafting, annotation, and documentation for floor plans, construction drawings, manufacturing layouts, engineering schematics, electrical diagrams, and other technical work. Smart Blocks detects repeated objects and converts them into reusable blocks, while Dynamic Blocks make frequently used elements more flexible.

Try Adobe Acrobat for free today! If you lead a project or team, then you'll know how many moving pieces you constantly have to keep an eye on each day. One area where this can be time consuming and problematic is with document workflows. How can you ensure that everyone involved has signed off on a plan, or even that they're reading the same version? That's where PDF Spaces comes in, a key feature in Adobe Acrobat, which makes document review and approval a streamlined affair, rather than one where you feel like you're herding clouds.

Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Say More Safety Net Creator Hub Versus Gift Ideas For Everyone On Your List Mashable Selects Switch Off Trending Now In My Bag VidCon with Mashable All Series The following content is brought to you by Mashable partners. If you buy a product featured here, we may earn an affiliate commission or other compensation. Deal pricing and availability subject to change after time of publication. Get six courses and six hours of Claude & ChatGPT project management training for $19.99 (reg. AI is becoming another tool in the project manager's toolbox, but knowing how to use it effectively is a different matter.

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I tried the new ChatGPT Desktop App for Linux - but I'll stick to my browser for now This preview release of ChatGPT Desktop for Linux supports Ubuntu, Debian, and Fedora is here. The application is proprietary, not open source. I'll keep using ChatGPT in the browser. OpenAI has released a preview of its ChatGPT desktop application for Linux . With this, OpenAI now has a native client on all major desktop operating systems and is placing its coding agent, Codex, alongside ChatGPT and its Work environment.

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Three out of four of the 138 developers I surveyed use Claude Code. Here's what they say matters in daily AI coding workflows. Claude Code dominates, but Codex has crucial advantages. Whichever AI you choose, human review remains essential. I explained how I use both tools and provided some suggestions for exploring them.