Author: Admin

Last month, a data team and a marketing team sat in the same room and talked past each other for 45 minutes.The engineers spoke in Delta tables and medallion architecture. The marketers spoke in journeys, segments, and send time optimization. Same customer. Same data. Two completely different languages. Nobody was wrong. They just couldn’t hear each other.That dead space — between where data lives and where it activates — is where millions of dollars in customer value go unrecovered every week, at companies with world-class data infrastructure and world-class marketing ambitions. They have the rocket ship. They forgot the launchpad.Scott…

AI is changing the speed of cyber risk. Cisco’s executive brief outlines how organizations need to move from current operating models to continuous defense. In nearly every customer and partner conversation I’ve had recently, one concern keeps coming up: AI is creating a new class of cyber threats that are outpacing traditional defense models. Many organizations are still operating with security postures built for a different era, when vulnerabilities, patches, upgrades, and response cycles moved at human speed. That era is over. Frontier AI models are accelerating the ability to find vulnerabilities, generate exploits, and chain them into attack paths. The time between disclosure and…

Discover how Cisco transformed customer support into a context-aware, in-product experience that now reaches more than 250,000 users across our core portfolio. By leveraging a decade of operational experience and roughly 1.7 million annual customer cases, we have unified intelligence across cloud, on-premises, and sovereign cloud environments to deliver proactive guidance and seamless escalation.   Over the past several years as a Principal Engineer at Cisco, I have helped architect Cisco’s in-product experience, designing how context-aware guidance and AI-driven support get delivered directly inside the customer’s workflow. My perspective is shaped by a unique vantage point: I have also served as a technical judge for more than 500 AI, security, and enterprise technology submissions across industry awards, hackathons, and standards forums. This blog explores what we…

Support CleanTechnica’s work through a Substack subscription, on Patreon, or on Stripe. Help us produce all of the high-quality, original content we publish week after week despite the challenges of content-scraping AI, antisocial media, inflation, and other hurdles. By Ray Wills and Peter Newman CleanTechnica allows comments, and there are always great comments by readers, as well as the obligatory smattering of naysaying trolls. We thought we might collate and comment on the good stuff that came in on our article “China’s Electric Truck Moment Has Arrived — And It’s About To Hit Global Diesel Demand.” If the electric car…

I usually program in Android Studio, but for my first KMP project, I installed macOS in Docker in the docurr/macos project, copied my project to the macOS Documents folder, and developed it in Xcode. It’s a simple project (app.mercury) that opens a specified website using WebView. This is a link to the project repositoryThen I tried to build my project in Xcode, and I got the error: Failed to build cache for /Users/panfstas/.gradle/caches/modules-2/files-2.1/org.jetbrains.compose.ui/ui-uikitx64/1.7.3/88a91f9a95d1f2922311c28d558b3f805424d289/ui.klib. This is the build log as an attachment because it is very longThe log after the error above contains the following line: “Details: Internal error in body…

AWS (Amazon Web Services) has detailed a reference architecture combining NB-IoT and LoRaWAN ingestion with dual-path IoT telemetry processing.In a blog post, AWS lays out a pattern for handling telemetry from device fleets that could number in the millions, splitting incoming data into two lanes: one built for instant anomaly detection, the other for historical batch analysis.Two sample dashboards illustrate the pattern in the documentation, a solar farm monitor and a smart building query tool. Both are labelled as samples, not case studies from named customers, and that distinction matters for any engineering team deciding whether the design is ready…

Samsung just unveiled new models of its foldable phones at the Samsung Galaxy Unpacked event, and the price tags are doing their own flex. The Galaxy Z Flip 8, Z Fold 8 and Z Fold 8 Ultra will be available on Aug. 7. Prices start at a whopping $1,200 for the base model of the Flip 8, $100 more than the original price of the Galaxy Z Flip 7. The Z Fold 8 Ultra, which is new to Samsung’s lineup, starts at a jaw-dropping $2,100.  The Z Fold 8 does bring a bigger battery, camera upgrades and a Flex Window…

AMS Citation Lewis, G., Brower-Sinning, R., Derr, A., Ozkaya, I., and Echeverría, S., 2026: A Quality Model for Machine Learning Components. Software Engineering Institute blog, Accessed July 22, 2026, Copy APA Citation Lewis, G., Brower-Sinning, R., Derr, A., Ozkaya, I., & Echeverría, S. (2026, July 21). A Quality Model for Machine Learning Components. Retrieved July 22, 2026, from Copy Chicago Citation Lewis, Grace, Rachel Brower-Sinning, Alex Derr, Ipek Ozkaya, and Sebastián Echeverría. “A Quality Model for Machine Learning Components.” Software Engineering Institute blog. Carnegie Mellon’s Software Engineering Institute, July 21, 2026. Copy IEEE Citation G. Lewis, R. Brower-Sinning, A. Derr,…

Simulations reveal how disordered proteins cluster and form biomolecular condensates Chain of amino acids (Courtesy: iStock/Christoph Burgstedt) Intrinsically disordered proteins (IDPs) do not form stable 3D structures. Instead, they remain flexible, adopt many conformations, and can interact with multiple molecules. Although proteins were once thought to require a fixed structure to function, many IDPs play essential cellular roles. Some IDPs can assemble into biomolecular condensates, membrane-less compartments that help organise processes such as gene expression and stress responses. Many IDPs contain prion-like low complexity domains (PLCDs), which have defined sequence features known as molecular grammas. These IDPs are multivalent and…

Artificial Intelligence (AI) is becoming a standard capability across wealth management technology platforms. Advisor copilots, automated meeting preparation, document generation, portfolio insights, and conversational interfaces are increasingly appearing across provider offerings. in The more complex challenge for wealth management firms is identifying the provider and AI capability model best suited to their specific requirements. While some firms may prioritize cross-functional workflow orchestration, others may seek research intelligence, advisor productivity tools, or targeted automation within discrete processes.  To support this evaluation, Everest Group has published its Innovation Watch: Agentic AI in Wealth Management Technology. The research assesses how leading WealthTech providers are designing, deploying, and scaling AI capabilities across the wealth…