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The platform makes visible where technology creates friction and hidden cost, delivers the right help inside every application, and makes the impact measurable. Most adoption tools focus on guided walkthroughs. Userlane connects intelligence and action through two integrated capabilities. Application Intelligence shows how work actually happens across the software estate. App Discovery maps which applications and AI tools people use, including underutilized and unauthorized ones. HEART analytics (Happiness, Engagement, Adoption, Retention, Task success) scores each application at the segment level to surface friction, waste, and value. Portfolio Overview rolls up results across applications to guide budget decisions, license optimization, and change programs. Contextual Assistance connects people to the right help inside any application. This includes an In-app Assistant, Contextual Help for compliance-critical workflows, Announcements, In-app Surveys, Form Validation and more. Assistance is contextual: it detects where someone is in a workflow and surfaces the right support pattern. The two capabilities form a closed loop. Application Intelligence identifies where problems exist. Contextual Assistance fixes them in context. Application Intelligence then measures whether the fix worked. Userlane is built for organizations where compliance, audit trails, and data residency matter. The platform runs on Azure with customer-selected data regions (UK, US, EU) and isolated environments. Userlane is ISO 27001 certified and compliant with HITRUST, NHS DSP Toolkit, and GxP requirements. Userlane is vendor-neutral, providing visibility across the full application estate, including AI tools from competing vendors.
Userlane
MediumMedium is recommended for avid readers seeking a variety of topics ranging from personal development to technology. It's also ideal for writers looking to publish their work to a broad audience and potentially earn revenue through the platform's Partner Program.
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Based on our record, Medium seems to be more popular. It has been mentiond 3082 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The tests are in no way scientific. Do a little research and you will find some horrifying truths about what is presented. https://medium.com/@randomuser_11627/the-telepathy-tapes-is-a-scam-606f7e11963e https://jonogden.substack.com/p/lets-talk-about-the-telepathy-tapes https://sciencebasedmedicine.org/the-telepathy-tapes-more-fc-pseudoscience/. - Source: Hacker News / 2 days ago
Console vs PC is a red herring since UE games still stutter on consoles, people just notice that less because most games run at 30 fps anyway. You can read Unreal's own blog posts on this and they'll actually explain that this is mostly down to their material system (and game logic/scripts reaching into it) being designed to create nearly infinite shader variations on the fly in response to arbitrary world/game... - Source: Hacker News / 3 days ago
I'm no expert on haplogroups either, but cursory googling seems to indicate they are far more numerous and nuanced than the late victorian, scientific-racism derived classifications used today - i.e.: black, white, asian etc. But we don't need to be specialists in population genetics to observe that human cultures interbreed. We can't reliably correlate visible biomarkers with genetic origin, especially in... - Source: Hacker News / 3 days ago
I think it's intresting to read about the guy who made yolo, take a look at his website and later, his thoughts about the monster he may have created. https://medium.com/@graham.wallington/the-evolution-of-yolo-joseph-redmons-departure-and-the-ethics-of-computer-vision-66d9b75f0eca https://pjreddie.com/darknet/yolo/. - Source: Hacker News / 4 days ago
One hardly needs to soar to the exalted heights of "mysticism" or any sort of "ineffable qualities" to come into contact with the limitations of LLMs. 1) Models do not perform the functional equivalent of reasoning at all. When we reason, we don't simply babble out textual derivations of prior examples of "reasoning" to which we have been exposed, arrive at a conclusion, then occasionally state an altogether... - Source: Hacker News / 4 days ago
Appcues - Improve user onboarding, feature activation & more โ no code required! Stop waiting on dev and start increasing customer engagement today. Try it for free.
Ghost - Ghost is a fully open source, adaptable platform for building and running a modern online publication. We power blogs, magazines and journalists from Zappos to Sky News.
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