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Meta's splashy new business AI hire offers yet another reason to bank on Zuckerberg
By poaching MongoDB's CJ Desai, Mark Zuckerberg shows he's serious about building an enterprise AI business.
Lee Enterprises acquires Argus Leader in 4-newspaper deal
The Argus Leader has a new owner.
NinjaTech AI Launches Enterprise AI Workforce Platform Using Open-Weight Models
Built to end runaway per-token AI costs, the platform deploys into the customer’s own cloud and data centers, so data never leaves their control PALO ALTO, Calif., Sept. 28, 2026 — NinjaTech AI today launched SuperNinja Enterprise, an AI workforce platform that puts AI employees to work around the clock inside the customer’s own cloud, on […]
Meta launches enterprise AI business seeking to cash in on vast spending
Chief executive Mark Zuckerberg opens a new front in his push to turn huge investment in the technology into profits
How to use cybersecurity to increase your business’s value
Strong cybersecurity can also boost business valuations and inspire buyer confidence. Both sides of the transaction should treat cybersecurity as a key factor in building enterprise value.
Space is everyone’s business: Economist Enterprise's 4th annual Space Economy Summit returns to Orlando
Space is everyone’s business: Economist Enterprise's 4th annual Space Economy Summit returns to Orlando
Meta is launching an enterprise AI business, sending MongoDB stock plunging
Chirantan "CJ" Desai stepped down from MongoDB on Monday to become Meta's chief enterprise platform officer, reporting to Mark Zuckerberg
Enterprise Spending Is Up in 2026, According to Emburse Report
Research shows transportation accounts for ‘disproportionate’ share of growth
High Tide Named to Report on Business Ranking of Canada's Top Growing Companies for Sixth Consecutive Year
High Tide Inc. ("High Tide" or the "Company") (Nasdaq: HITI) (TSXV: HITI) (FSE: 2LYA), the high-impact, retail-forward enterprise built to deliver real-world value across every component of cannabis, announced today that it placed No. 315 out of 375 companies listed on the 2026 Report on Business ranking of Canada's Top Growing Companies, with a verified three-year revenue growth rate of 66% over the 2022 to 2025 measurement period. Highlighting the Company's increasing profitability profile, Ad
Steve Sweeney to return to Middleborough for comedy show
Comedian Steve Sweeney brings his observational humor to the Alley Theatre in Middleborough for an October show.
‘Heart of the Beast’: A profound survival drama
Few films have so persuasively conveyed the bond between man and dog
See ‘The Science of Autumn Foliage’
GROTON — As summer fades and cooler temperatures arrive, New England prepares for one of its most spectacular annual displays: the changing of the leaves.
Continental offloads Australian tyre business to Chinese firm Tuhu
The deal is based on an enterprise value of A$403m and remains subject to regulatory approvals.
AI Presents Science with a ‘Ship of Theseus’ Problem
Opinion | AI can replace each part of the scientific process, leaving the enterprise recognizable but devoid of human judgment.
Farm succession stories: You can go home to the farm
An Ord, Neb., native and UNL agribusiness major found an enterprise that adds value to the farming operation and allows him to return to the family farm.
Default Enablement of Copilot Features for Copilot Business and Enterprise
We’re introducing a new global default policy for generally available GitHub Copilot features and supported client capabilities in enterprise and organization Copilot settings. For the next 28 days, you can…
Enterprise AI Wants Your Most Sensitive Data. VAST Says It Can Keep It Safe
Enterprises have plenty of data they would like to use with AI. The problem is that some of their most valuable data is also the hardest to use. Think of all the customer records, financial information, internal research and other sensitive data that can’t always be sent to an outside AI service. There is another […]
Women Inspiring Nevada: Vjollca Tarjan, Market President, Enterprise Bank & Trust
Vjollca Tarjan has built her life around three core principles: strong relationships, integrity and service.
Original 'Star Trek' USS Enterprise heads to MIT after resurfacing on eBay
The 11-inch model was lost for 45 years.
G&F brings science learning to life for Eastside second-graders
Second-grade students at Eastside Elementary recently traded their classroom for a hands-on science experience with the Wyoming Game and Fish Department as part of a new partnership designed to connect
Manetti Shrem Institute hosts two speakers
Quiltmaker Anna Von Mertens, who creates research-based work weaving together science, history, and materiality, and Sophie Weston Chien — an assistant professor of environmental design at the University of Colorado,
Forward Deployed Meteorologists: Bridging deep weather science and bespoke enterprise AI
Discover how Forward Deployed Meteorologists turn complex atmospheric data into rapid, enterprise-grade AI tools.
Florida Chamber’s free-enterprise roadshow rolls into Illinois
Gov. JB Pritzker finishes behind Zohran Mamdani for a tongue-in-cheek economic development honor.
Kayak Clarifies Position in Business Travel Marketplace
Kayak for Business is looking to broaden its appeal beyond its enterprise configuration with Blockskye, targeting SMEs as well as large clients. SVP Eva Fouquet told BTN's Elizabeth West the company also is pursuing a hybrid strategy, developing AI capabilities while maintaining traditional online booking options as traveler trust develops.
Akron launches program meant to expand small business access to city contracts
Akron officials unveiled the Small Business Enterprise program Monday. It's aimed at making it easier to compete and secure contracts for public projects.
Suozzi To Be Recognized as First Democratic Member of Congress To Be Awarded U.S. Chamber’s “Advocate for American Business” Award
GLEN COVE, NY — Congressman Tom Suozzi (NY-03) was recognized today by the U.S. Chamber of Commerce with its “Advocate for American Business” Award during a stop of the Chamber’s national Free Enterprise Express Opportunity Tour at Standard Bots in Glen Cove. U.S.
Trump administration gave firm with ties to ballroom donor the green light to do business with a sanctioned Russian bank
Private equity investor Konstantin Sokolov was also appointed to run a government enterprise fund.
Why NuoData Believes Enterprises Need a Different Way to Connect Data, AI, and Automation — Not Another Place to Store It
NuoData’s leadership team sat down to answer six questions about the platform’s origins, its position alongside Snowflake, Databricks, Microsoft Fabric and Google Cloud, and where they believe enterprise data and AI architecture is headed next. The answers have been lightly edited for length. NuoData describes itself as an end-to-end enterprise Data, AI and Agentic orchestration […]
PPG appoints Alex Lopez vice president, investor relations, operational finance
PPG (NYSE: PPG) today announced that Alex Lopez, currently PPG director, investor relations, has been appointed PPG vice president, investor relations and operational finance, effective Oct. 1. Lopez will continue to report to Jamie Beggs, PPG senior vice president and chief financial officer. Alex Lopez has been appointed PPG vice president, investor relations and operational finance. In this expanded role, Lopez will continue to lead investor relations while assuming responsibility for enterprise operational finance, with a focus on strengthening capital discipline, productivity governance and operational finance effectiveness. Lopez has held a variety of finance roles of increasing responsibility during his 20 years with PPG, including business-specific finance leadership as well as corporate roles. Prior to assuming the investor relations role in 2024, Lopez served as global finance director, Automotive OEM Coatings. He also supported the growth of PPG Comex when he relocated to
Should you trust an AI doctor? Relying on Gemini for health advice could be fatal
A fake disease, complete with absurd clues and a fictional laboratory aboard the USS Enterprise, was enough to fool AI chatbots—and even find its way into the scientific literature. The hoax exposes a deeper problem: AI can sound authoritative without knowing whether the information it has absorbed is true.
Brookfield Business (BBUC) Joins Reliance Deal. What Returns Can it Capture?
Brookfield Business Corporation (NYSE:BBUC) will participate in Brookfield’s proposed acquisition of Reliance Worldwide Corporation, announced September 15. The transaction values the plumbing-products manufacturer at approximately US$2.8 billion in enterprise value, excluding lease liabilities. The investment group plans to acquire 100% ownership. Funding will come through the Brookfield Capital Partners strategy and Brookfield Business Corporation (NYSE:BBUC). […]
Jacob Render heads to Darlington on loan
Leeds United can confirm Academy forward Jacob Render has joined Enterprise National League North side Darlington on a short-term youth loan.The versatile attacker has made seven appearances for Scott...
OpenAI vs. Anthropic: the agent platform gap
69% of enterprises using OpenAI's agent platform make it primary, vs. 38% for Anthropic's, per VB Pulse. Anthropic leads on consideration relative to users.
Who you gonna call? Mon-davi ...
The first two events in the Mondavi Center's all season are coming up in late September, with many more events scheduled in October and November.
Natsoulas Gallery presents two exhibitions
The John Natsoulas Gallery will open two new solo exhibitions this fall, presenting the work of nationally exhibiting artists Joy Stocksdale and Deirdre White.
Acceldata Launches xFactory for Building Governed AI Applications From Business Intent, on Federated Data
Enterprises can now create AI applications and agents — executing natively on open engines including Apache Spark, Trino and Kafka — and connecting to Snowflake and Databricks, so your data stays where it is. LONDON, Sept. 18, 2026 — Acceldata has announced the launch of xFactory, a private AI software factory to build, test and deploy […]
Engrams Embedding Entendre: Codesign for Efficient DRAM/SSD Offloading
Engram extends standard token embeddings with learned multi-token lookups. Recurring local patterns retrieve vectors directly, reducing the need to reconstruct them through attention and feed-forward layers. With Engram model architecture optimization, it allows for lower HBM capacity to be needed for models at the same quality. This does not mean there won’t be an insane demand for HBM but it just means that model architecture will continue to innovate around constraints. This model architecture design is naturally codesigned for parameter offloading: each token accesses a few embedding rows whose addresses depend on token IDs, not hidden states. The runtime can prefetch those rows from host DRAM while earlier layers compute, keeping the table outside HBM without transferring entire weight matrices. Our Memory model contains our latest estimates of quarter by quarter HBM, DRAM, & NAND supply and demand. Offloading frees HBM for model weights and KV cache, potentially supporting larger batches or more concurrent sessions. When DRAM becomes the next constraint, NVMe offers another tier. Recommendation systems already cache frequently or recently accessed embedding rows in faster memory while backing colder rows with SSDs. After NVIDIA roadmap had to change due to massively despec’ing Rubin Ultra from 1024GB to now ~200GB of HBM per chip, model architecture optimizations like emgram maybe helpful. Our DeepSeek-V4.1-Flash configuration uses roughly 189 GiB of memory for Engram. We replace it with a memory-mapped (mmap) file and measure serving performance with offload to SSD. Later on in our report, we will show our Engram offloading experiments along with the official InferenceX agentic inference serving results on Engram models like DeepSeekv4.1 Flash across all 6 NVIDIA GPU SKUs along with MI355X. Unsurprisingly, the CUDA Moat is still mogging MI355X on the ultra popular DeepSeekV4.1 Flash model. We also show how even on high capacity HBM SKUs, offloading emgrams to DRAM could result in even better performance for most of the pareto than keeping the emgram in HBM. Our benchmark has been widely reproduced, validated and/or supported by almost every major buyer of compute from Google Cloud to Microsoft Azure to Oracle, to Meta and many more. Furthermore, it has the support of the ML community including from vLLM, LMCache, SGLang, PyTorch, Huggingface and the support of major labs like OpenAI, MiniMax, ZAI, Qwen, Moonshot Kimi, etc. Star the InferenceX GitHub repository if you find the open-source benchmark and data useful!. InferenceX is the only inference benchmark in the world to have TPUv7, Jalapeño, Nvidia Rubin NVL72, AMD, and soon, SambaNova and Trainium. Due to how realistic AgentX scenario is to real world agentic inference workloads, AMD has committed to collaborating on MI455X UALoE72 too. DeepSeek did not release the original paper’s two trained Engram models. We replicated its setup on fineweb-edu using the released code and training hyperparameters, at an estimated 6E18 FLOPs per run. We observed the same U-shape scaling: Engram improved performance over pure MoE baselines. We also reproduced DeepSeek’s results, where earlier-layer representations with Engram resembled those of later layers. Like the original Engram paper, it is possible to probe Engram’s gate scores to see what n-grams DeepSeek-V4.1-Flash makes the most use of. Our gate scan finds names, code fragments, relational phrasing, and boilerplate. These examples prioritize interesting-ness over gate strength. One unexpected result was Wright : Ace Attorney. These examples suggest learned memory optimizes the training objective, not a judgment of which facts deserve storage. Licenses, bibliography fragments, API scaffolding, and website furniture can provide prediction shortcuts, so the value of additional Engram capacity may depend on what survives data preparation. This does not show that table capacity is “wasted”: the evaluation-corpus scan establishes neither training exposure nor the capacity occupied by each category. For offloading, strong gates do not identify cache-hot rows. Low gates do not automatically save reads either: computing the gate requires the retrieved key and undoes the performance gain of a fused kernel. Skipping reads would require a separate usefulness predictor before retrieval. In the original paper’s inference-time ablation, factual-knowledge benchmarks retained just 29–44% of their original performance, while reading comprehension retained 81–93%. This is due to the training–inference mismatch. The resulting degradation therefore measures this trained model’s dependence on Engram, not the performance difference between models trained with and without it. In our ablations, suppressing Engram worsens token likelihood across all evaluated domains, especially encyclopedia text and several code corpora. Surprisingly, GSM8K accuracy stays within measured run-to-run variation and removing Engram has no effect. Engram is not a detachable dictionary beside an unchanged MoE. Removing it changes downstream features and expert selection. We tested whether rerouting hurts or compensates by holding tokens fixed in a teacher-forced experiment on CRUXEval, a code-reasoning benchmark of small Python functions where the model predicts a function’s output from its code and an input, and scoring the reference answer. Removing Engram raised answer loss from 0.2848 to 0.3093 bits/token. Forcing the ablated model to use the original Engram-on expert choices made it worse still, at 0.3375 bits/token. Rerouting partially compensates for the missing memory. Memory features and expert selection work together, rather than following a clean “memory stores facts; experts reason” division. On the same CRUXeval, removing Engram during either phase reduced accuracy and increased generated tokens; removing it throughout produced the largest changes. Keeping Engram for prefill leads to more correct answers than keeping for decode likely due to semantically richer KV cache transferred to decode workers, allowing it to mitigate some of the performance loss. Engram’s table is large, but each lookup is small. DeepSeek-V4.1-Flash requests 24 rows at each of two Engram layers, about 12.4 KiB per processed token position across the model, or 3.1 KiB per GPU when split across four GPUs. Currently as of Day 7 since Model Release, MI355X is still 2-4x worse performance per dollar compared to B200 even when normalized by Mi355X’s lower TCO. Our full total cost of ownership breakdown comes from our AI Cloud TCO Model along with monthly market surveys of over 100+ gpu clouds & gpu cloud customers. On the Day 0 release of DeepSeekv4.1 Flash, NVIDIA vLLM works out of the box with zero issues across all 6 SKUs: H100, H200, B200, B300, GB200, GB300! This was thanks to the amazing work by the NVIDIA & Interact teams! In comparison, AMD vLLM did not work on day 0 for DeepSeekv4.1 Flash.Source: SemiAnalysis InferenceX AMD’s vLLM documentation points to using vllm/vllm-openai-rocm:deepseekv41-flash-0909, but from hour 0 of the model release to hour 23, AMD has not publicly released the image. AMD claims, “SPEED IS THE MOAT,” yet it has still not released it by the 23rd hour. We wish that, going forward, the AMD team has a better process for hour 0 model releases. Eventually when they did publicly release for “day 0” image support, performance-wise, it is currently up to 14.8x worse perf per dollar than H200 and up to 42x worse perf per dollar than B200/B300. The power of the CUDA MOAT is NVIDIA’s collaboration with its massive 6 million-developer community ecosystem including most of the vLLM & SGLang & Tokenspeed maintainers which means that CUDA is optimized on day 0. Overall, AMD did make significant improvements but the performance per dollar is still currently 2-4x worse than B200. AgentX Engram DRAM Offloading Improving Performance The HBM and DRAM offload use the same GPU kernel to select and dequantize rows. With HBM, it reads GPU memory; with Unified Virtual Addressing (UVA), it reads pinned host memory directly. Both support full decode graphs. Moving the table into HBM accelerates only the sparse lookup, leaving decoder computation and communication unchanged, resulting in little overall benefit while consuming memory otherwise available to KV cache. Another benefit of Engram offloaded to DRAM which means you can reduce the communication overhead by using less HBM GPUs per replica. For example, when enabling Engram offloading on B300, we are able to switch from TP4 to now TP2 which improves the pareto curve by up to 1.6x. When iso-model quality, less HBM is required as the engrams could be offloaded to host DRAM. Thus HBM bandwidth matters way more than HBM capacity. For inference workloads where memory bandwidth matters the most, 4-hi HBM provides the best $/bandwidth and therefore lowest cost per token. If China continues to make more and more revolutionary model architecture innovations, soon it could potentially 0Hi HBM stacks. [ ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) [ Long Live the Short King: Why 4-hi HBM Wins ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Myron Xie, Bryan Shan, and 3 others · Sep 13 [ Read full story ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Moreover, on B300 and week-0 stack, moving the Engram table back to HBM did not improve results and stay within run-to-run variance. This is a result of the work optimizing DRAM offload, such as async, and overlap. SSD Offloading On B200, we created a unoptimized vLLM fork and stored the Engram tables in memory-mapped files on local SSDs. File backing lets the OS reclaim table pages when other applications need RAM. Pages already cached in memory can be served without reading the SSD again. Furthermore, note that we were unable to turn on GDS The unoptimized SSD implementation changes how rows reach the GPU. It copies row IDs to the CPU, deduplicates them, gathers the requested rows into pinned buffers, copies those rows back to the GPU and dequantizes them. This work runs between segments of the GPU execution graph. Native UVA performs row selection and dequantization directly on the GPU, avoiding the CPU round trip. A warm filesystem cache removes physical SSD reads, but leaves the coordination, row gathering and transfers. This is why a file already cached in RAM can still perform worse than a pinned DRAM table. The comparison measures the whole serving path; it does not separate the time spent on each of these operations. B200 DRAM dominates both measured SSD serving curves in total tokens per dollar and P90 interactivity. Near 125 tokens/s/user, DRAM delivers 121 million total tokens per dollar versus 52 million for SSD. For production serving, SSD offloading is likely not worth the tradeoff. On the B200 configurations we measured, SSD offloading loses on both measures: every observed SSD point has a DRAM alternative that delivers higher P90 interactivity and more total tokens per dollar. The only points where Cheaper storage does not automatically produce a cheaper inference service. Moving Engram to SSD leaves the same four expensive GPUs and the rest of the server in place. Reclaiming RAM only creates an economic benefit if it enables a cheaper server configuration or additional useful capacity. The current unoptimized path provides neither benefit, and the filesystem cache still consumes RAM when table pages are resident. Next we will look at the mechanisms and specific implementation of ngrams from DeepSeekv4.1 Flash, LongCat, Qwen3.8 Flash Next.
UCD marks Pitzer Center’s 10th year
From concerts to rehearsals, to lectures on musical literature, the Ann E. Pitzer Center is a home for music at UC Davis. On Oct. 1, the center marks its 10th
Microsoft’s AI playbook shows businesses how to turn experiments into results
Microsoft’s new Frontier Playbook outlines how businesses can move beyond AI experimentation and turn artificial intelligence deployments into measurable business results, including greater productivity and time savings, Inc. reports. The guide draws on more than 100 of Microsoft’s internal AI projects across its corporate functions, commercial organization and engineering teams. It comes as enterprise AI […]
Anthropic launches Claude Code Projects, an ‘always-on’ conversation that remembers and delegates your long-running dev work
For enterprises, it makes a whole lot of sense: their digital storefront, website, content management system, procurement platform, or other business application rarely has a discrete endpoint.
The Execution Gap is a Metadata Gap
Enterprises are treating stalled agent projects as a readiness problem. The benchmark evidence points somewhere less comfortable: hold the model constant, change only what surrounds it, and performance on real enterprise data still moves by twenty points. BigDATAwire Managing Editor Ali Azhar’s March 2026 report on Deloitte’s State of AI 2026 closed on a sentence […]
Gering adds zoning restrictions for adult entertainment enterprises
The Gering City Council this week approved a zoning ordinance that would limit where adult entertainment businesses could operate in the community. At the start of a public hearing Monday on the…
Gering adds zoning restrictions for adult entertainment enterprises
The Gering City Council this week approved a zoning ordinance that would limit where adult entertainment businesses could operate in the community. At the start of a public hearing Monday on the…
Alation CEO Warns That Smarter AI Agents Can Still Get Your Business Wrong
Alation CEO Satyen Sangani bets AIOS can make enterprise AI agents more reliable through independent data governance as Snowflake and Databricks expand competing tools.
Vitality and Google Expand Technology Partnership to Bring AI-Driven Health Platform to the United States to Incentivize Healthier Behaviors
Vitality AI, built on Google Cloud and using Gemini Enterprise, expands into the U.S. market — bringing proven personalized health recommendations, coaching, and incentives to health plans and...
Assort Health Expands Direct EHR Workflow Automation for Practices Using NextGen® Enterprise EHR
/PRNewswire/ -- Assort Health today announced expanded capabilities for its integration used by practices running NextGen® Enterprise EHR. Assort's AI agents...
Gering adds zoning restrictions for adult entertainment enterprises
The Gering City Council this week approved a zoning ordinance that would limit where adult entertainment businesses could operate in the community. At the start of a public hearing Monday on the…
Gering adds zoning restrictions for adult entertainment enterprises
The Gering City Council this week approved a zoning ordinance that would limit where adult entertainment businesses could operate in the community. At the start of a public hearing Monday on the…
Snap targets enterprises with Salesforce, Nvidia AI tools for augmented-reality glasses
Snap on Wednesday announced partnerships with companies including Salesforce, Nvidia and Amazon Web Services to integrate workplace tools into its Specs augmented-reality glasses, courting enterprise demand to carve a foothold in the heavily contested market.
Snap tries to bring AR glasses to enterprise market, partnering with Nvidia, AWS and Salesforce
Snap is partnering with Nvidia, Amazon Web Services and Salesforce as part of an enterprise sales push centered on its $2,000 Specs AR glasses.
Windows 11 KB5124008 update breaks domain trust for some users
Microsoft is investigating reports that the Windows 11 KB5124008 security update is breaking domain trust relationships on some enterprise systems, preventing users from logging in with valid domain credentials.
Detroit CIOs and CISOs to Examine AI Governance, Cybersecurity Resilience, Enterprise Transformation and the Rise of the 'CEO of Technology' at HMG Strategy’s September 24 Summit
FAIRFIELD, Conn., Sept. 16, 2026 (GLOBE NEWSWIRE) -- CIOs, CISOs and other senior technology executives from leading organizations across Detroi...
TEMU PARTNERS WITH CITEA TO SUPPORT CYPRUS' DIGITAL BUSINESS COMMUNITY
/PRNewswire/ -- Temu has signed a Memorandum of Understanding (MoU) with the Cyprus Information Technology Enterprises Association (CITEA) to support Cyprus'...
Art Farm exhibition opens at The Barn Gallery
Now in its 19th year, YoloArts’ Art Farm exhibition celebrates the farmlands of Yolo County and the art they inspire.
Sinfonia Spirituosa goes for Baroque on Sunday
The fall music season is getting underway, and one of the first concerts will be a performance by Sinfonia Spirituosa — a Baroque-period-instrument chamber orchestra, based in Sacramento — at
EnKore presents delightful ‘Honk’
Have you heard about a new community of actors performing in a quaint setting right in Woodland? EnKore Theater Company may be new to town, but they are certainly not
Mastercard Dreamonomics Report Finds Smaller Businesses Prioritizing Stability
Small businesses are putting a premium on predictability. Across more than 6,000 small and medium-sized enterprises (SMEs) surveyed in 18 countries for
Mastercard’s Dreamonomics Report Finds Small Business Owners Are Redefining Growth for a More Demanding Economy: 68% Prioritize Stability Over Speed, 89% Want More Digital Tools and 71% Say Cyber Protection Is a Priority
To support the needs of small businesses, Mastercard Collection for Business launches today bringing together business-focused benefits, protections and experiences Small businesses are looking ahead with ambition — but they are also preparing for the pressure that comes when opportunity arrives. Mastercard today introduced Dreamonomics, a new global view of the forces reshaping small and medium-sized enterprises (SMEs) perceptions and approach to growth. The research shows that SMEs are redefining growth as controlled momentum: 68% prioritize stability and predictability over fast growth, 54% actively avoid unnecessary financial risk and 61% are focused on deepening customer relationships rather than reaching as many customers as possible. Studio Mouvoir Headline Findings from the new Dreamonomics Report Stability is overtaking speed: 68% of SMEs now prioritize stability and predictability over fast growth, while 54% say they actively avoid unnecessary financial risk. Customer depth
Azalea Health Selected by East Adams Rural Healthcare to Modernize EHR Operations
Rural healthcare provider replaces existing enterprise system with platform purpose-built for community healthcare, prioritizing usability, faster support and streamlined operationsAtlanta, GA, Sept. 15, 2026 (GLOBE NEWSWIRE) -- Azalea Health, a leading provider of fully integrated cloud-based electronic health record, practice management, and revenue cycle management solutions, today announced that East Adams Rural Healthcare has selected Azalea Health as its new electronic health record (EHR)
GE HealthCare Announces CareIntellect for Operations, Helping Health Systems Optimize Resources and Expand Access to Care
CHICAGO, September 15, 2026--GE HealthCare (Nasdaq: GEHC) today announced CareIntellect™ for Operations, a new AI-enabled Software-as-a-Service (SaaS) application designed to help health systems forecast capacity constraints up to 72 hours in advance, providing comprehensive unit-, department-, and enterprise-level views of emerging bottlenecks. By analyzing hundreds of patient- and operational-level data points—including bed availability, patient delays, staffing, wait times, and ancillary serv
Massasoit 'transformed' as new science building opens
Learn how Karolyne Salas, sophomore at Massasoit, is using a lab in the new building to study bees.
Massasoit 'transformed' as new science building opens
Learn how Karolyne Salas, sophomore at Massasoit, is using a lab in the new building to study bees.
DA Khan Demands Financial and Business Records to Unravel Slumlord's Paper Trail
Bucks County District Attorney Joe Khan has escalated the consumer protection lawsuit against real estate business R & R Enterprises, by filing a new amended complaint and initiating the civil dis
Sustainability Spotlight: The competitive edge
Small businesses drive New Hampshire’s economy, accounting for roughly 97% of all state enterprises and generating the majority of its jobs, according to the U.S. Small Business Administration.
UC Berkeley welcomes rising stars in math and physics
UC Berkeley is welcoming a powerhouse lineup of trailblazing scientists to advance its research enterprise.The Division of Mathematical
Physicist proves famous 'Star Trek' combat strategy works
The ‘Picard Maneuver’ is technically more ingenious than the show depicted it.
Virtuix Provides Business Update Highlighting 3X Omni One Order Growth and Expanding Defense and Enterprise Opportunities
Omni One Orders Increase Threefold Following Meta Launch Company Advances Defense Programs, Enterprise Sales and Acquisition Strategy AUSTIN, Texas, Sept. 14, 2026 (GLOBE NEWSWIRE) -- Virtuix Holdings Inc. (NASDAQ: VTIX), a leading developer of AI-driven, full-body simulation systems, today provided an update on the strength of its business and progress across its consumer, defense, and enterprise markets, as well as its acquisition strategy. The number of Omni One orders is up approximately 3X
Stop Automating Old Processes. Design New Ones Instead.
Companies are pouring money into AI but often failing to generate enterprise-wide returns because they automate individual tasks rather than redesign the workflows that produce business value. This typically results in one or more of four failures: accelerating tasks rather than value, ignoring unhappy outcomes, overlooking the end-to-end flow of work, or optimizing the wrong metric. To capture AI’s potential, managers need to make three decisions. First, determine what to redesign by identifying the outcome customers value, the constraints AI can remove, and opportunities for learning that compounds over time. Second, decide where human authority should remain, choosing among four modes—Assist, Approve, Audit, and Automate—according to the stakes and reversibility of potential errors. Third, design for the “unhappy path”: specify how the system will recognize uncertainty, escalate exceptions, stop or reverse actions, and learn from corrections. Together, these choices turn isolated AI experiments into reliable, value-producing operating processes.
Kyndryl completes acquisition of Healthcare IT Leaders, LLC
/PRNewswire/ -- Kyndryl (NYSE: KD), a leading provider of mission-critical enterprise technology services, today announced it has completed its acquisition of...
Physitrack Selected by US Metropolitan Healthcare System for Enterprise-Wide, Epic-Integrated Digital Rehabilitation
Three-year enterprise agreement with a total three year contract value of approximately US$78,000 (approximately EUR 67,000) in total, covering an enterprise-wide deployment and full Epic and MyChart integration.Physitrack PLC (Nasdaq First North Premier Growth Market: PTRK), a global provider of d…
Back up science by adding service for people in need
Residents of Houston’s Fifth Ward live adjacent to documented creosote contamination. The neighborhood is 94 percent non-Hispanic Black. It is a state-designated cancer cluster. Those who live there do not
How California Latina, Latino voters differ on politics
A new study shows a gender gap on immigration, Donald Trump and protecting democracy.
William Shatner recalls original “Star Trek” pilot being scrapped and completely recast: ‘That’s really different’
In the original pitch, actor Jeffrey Hunter manned the USS Enterprise as Captain Pike.
The politics and possibilities of ‘AI could kill us all’
I found myself fielding a lot of questions from folks who don’t usually talk much about AI this week. They were mostly along the lines of “do you think AI is going to kill us all?” or “how worried should I be about this human extinction stuff?” Motivating this wave of existential anxiety was the highly dramatic resignation of now-former Anthropic employee Jacob Coxon, who quit his job while publicly sharing his concerns about safety practices at the leading AI companies. More specifically, he declared that almost everyone at OpenAI and Anthropic, the leading AI labs, believes that there’s a decent chance the AI systems they’re producing could “kill us all” by the end of the decade, and the companies aren’t “acting responsibly.” Other AI safety researchers, including those still employed at Anthropic and OpenAI, all confirmed that yes, Coxon is correct, they’re all worried that their company’s products might prove fatal for the entire human race as well. Two more AI employees quit and joined the chorus. Now, the warning shot has been covered everywhere from the Wall Street Journal to Fox News to WIRED to the Guardian. I understand why all this sounds scary, but my response to those who have asked, has generally been: No, you don’t need to worry that AI will kill go rogue and kill us all. But that does not mean we shouldn’t worry, period. Far from it. The companies building AI products are now among the wealthiest and most powerful entities in the world. And they very much are building enormous engines of mass surveillance, extraction, and automation. They can and have allowed their AI systems to carry out felony hacks of other companies, provided the government with autonomously generated kill lists, and sold enterprise technology to firms around the world that is explicitly intended to replace jobs. But “AI” has done these things not because they have all-powerful minds of their own but, ultimately, because people have programmed, calibrated, and directed them to. In other words, it’s not AI we need to worry the most about. It’s the people and corporations working to profit from and gain power by deploying it. The technology is sophisticated, sure, and, especially in cybersecurity contexts, potentially disruptive to plenty of existing systems. But if we want to stop this predatory, profiteering, and extractive form of AI—and it’s worth noting that at this point, most people do—we absolutely can. A quick note/plea: I can only do all of this with the support of readers like you, so if you find value in independent, critical tech journalism and analysis, please consider becoming a paid subscriber. I want to keep as much of this un-paywalled as absolutely possible, and I need your support to do so. Many thanks to all who continue to chip in, it’s very much appreciated. Onward. Subscribe First, some context: AI industry folks like Coxon have been discussing the prospect that AI will destroy humanity for years. Even before the beginning of the AI boom, many working in the industry, from the executive staff to the rank and file researchers, have obsessed over ‘x-risk’, or the possibility that AI will become sentient or semi-sentient and move one way or another to exterminate humanity. This is ostensibly why Elon Musk bankrolled OpenAI in the first place, and is the grounds for his lawsuit alleging OpenAI betrayed its charter by abandoning its nonprofit status to become a commercial enterprise. Many AI engineers and startup founders have calculated their own personal p(doom), or the probability that the tech product they are working on will initiate an actual humanity-extinguishing apocalypse. 10-25% p(doom)s are pretty common. (I wrote about a long weekend I spent among these folks at one of their top conferences here, to give you an idea of their ideas and belief systems.) Sam Altman himself drove the narrative of the imminent rise of a super-powerful AI, or artificial general intelligence, to prominence by declaring that the technology he was building posed an existential risk to humanity. This idea is in other words baked into the DNA of modern AI companies and into the products they engineer. It’s also why the industry is routinely accused, by myself and others, of “doom marketing,” ie, using such proclamations and framings to impart the sheer power of the technology behind your product onto investors, partners, consumers, and the state. Some ambient understanding of this tendency may have helped prevent the press from repeating the claim every time one of the x-risk folks made it over the years, including when they quit their jobs at AI companies while doing so. Yet Coxon’s AI x-risk alarm has broken containment, as they say, and has exposed the idea to the mainstream media once again. This has happened, I think, for a number of reasons. First, when AI CEOs were going around saying AI might kill everyone in 2023, their companies were well-capitalized, but not nearly to the extent they are today. They were more easily dismissed as eccentric geeks of the sort that Silicon Valley is supposed to produce. Now, not only do their products have much greater market saturation, but people are more aware of a) the often unethical ways the executives and companies comport themselves b) the other adverse impacts of AI that have already arrived, and c) the physical cost of building these systems, particularly when it comes to data centers. Finally, toss in the constant stream of headlines in 2026 about AI models going rogue or potentially upending the world’s infrastructure. [ ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) [ With the backlash to data centers, Flock and AI glasses, a mass opposition to big tech is underway. Silicon Valley is in denial. ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) Brian Merchant · Aug 27 [ Read full story ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) As a result, general sentiment was already overwhelmingly skeptical of AI and its overlords, so the table was pretty well set for someone to come along and say ‘just a reminder, the companies that are building the product that promises to take your job and leave a data center in your neighborhood also think that it might exterminate the human race’ and get a strong reaction from the media and the public. The question is: Should we understand this stuff as hype, strategically fanned to feed already swelling valuations? Is it doom marketing? Genuine cause for alarm that the infrastructure that undergirds modern life is facing a novel threat vector? Or reason to be sincerely worried that AI companies are amassing too much power, and that their products are genuinely dangerous? The answer, I’m afraid, is “yes.” Let me try to untangle all of this a bit, because arguments over how to navigate this moment are extremely heated right now, as they are essentially arguments over how to approach the politics of AI at a moment where there may be a unique opening for action. Those sympathetic to AI alignment concerns and x risk arguments—which increasingly includes a faction on the left who want to shut down AI over safety concerns—argue that people who dismiss AI as all hype have their heads in the sand. Meanwhile, critics of the x-risk narrative—which I might note includes a cadre of investors and tech folks on the right, too—argue that it is hype and can be used to further inflate valuations or for pursuing regulatory capture. The challenge is that many feel that dismissing AI as just hype or purely marketing also diminishes the urgency of taking on the AI industry as the novel and threat to labor, civil society, and the public sphere it is; others that by accepting the industry’s own terms, we imbue it with undue power and enable it. But let’s be clear: Declarations that AI is so powerful it might end the world are a kind of marketing, and anyone who says otherwise is just as off base as those who say that’s all that it is. If you don’t think that these sub-trillion dollar companies have higher-ups who noticed that when their founders talked about super-powerful dangerous AI they got spikes in media interest and phone calls from investors, or that those founders didn’t notice that themselves, and lean into certain narratives to advantage their products, then I don’t know what to tell you. Not all marketing is a Pepsi ad campaign with a celebrity spokesperson. Yet confronting the AI industry should certainly be considered an urgent project. Do I share the x-riskers’ fear that out-of-control, super-intelligent AI agents might end the world? I do not. I’ve read a good deal of AI extinction literature over the last couple of years and I have not come across a credible, step-by-step documentation of how exactly AI might move from self-recursively improving AI to killing every single human on the planet. Most of what I’ve read seems predicated on a sort of reverse Ian Malcolmian logic: Eventually, it becomes smart enough and AI, uh, finds a way (to exterminate humanity). Are the AI companies also overstating and dramatizing what their products can do? Yes, pretty much all the time. They’re in a knife fight for market share and are trying to win customers and government contracts before their investors come knocking. And yet. They have concentrated enormous amounts of compute, have extensive data collection and surveillance capacities, have inserted themselves into the state in numerous capacities, including military kill chains, and they are being run by egomaniacal billionaires who are rushing to monopolize an entire new market. The way I think about their most recent frightening-seeming exploits is not as a “swarm of rogue AI agents building a new civilization” or whatever, but as corporations with a hitherto-unimaginable amount of compute at their disposal recklessly experimenting with automation programs, completely unafraid of any repercussions because we have been unwilling or unable to impose any on them. So I think we should welcome any newfound imperative to hold them accountable. I also think that ultimately, the AI critics, Pause AI folks, leftists, doomers, effective altruists, and, honestly, most of the public, want a lot of the same things: legitimate checks and limits on AI companies’ power, actual transparency into what the companies are doing, and for more of AI to be under public control. (Ultimately, a lot of what animates the x-risk fears are rooted in just that: a fear of losing control.) How we move towards all this, exactly, is the question of the day, and while there’s much to be argued over in terms of building a viable political platform to challenge the AI industry’s power, I do want to cast a vote against one particular approach. Not to pick on Chris here, as there are a lot of folks out there proposing stuff like this, and the policy ideas actually stem from AI safety groups. But not only would this be challenging to land politically (I can already hear the ‘China will beat us to AGI’ calls) and all but unworkable in practice, this approach is a) far too limiting, b) fails to address the current harms caused by AI and c) would likely only wind up serving Anthropic and OpenAI; it’s what regulatory capture looks like in action. Full model transparency is the floor for what should be on offer here. If these companies believe their products will kill us, the very least we deserve is to know how. It’s in the public interest. I would also argue we might get a lot of the way to stopping any currently envisioned robot apocalypse simply by forcing AI companies to assume liability, and to submit to the full brunt of the law. If Sam Altman were liable to be charged with a felony for approving the hack on Hugging Face1, if Google was forced to pay defamation fines each time it published a false and injurious AI Overviews, these companies might suddenly find cause to restrain their models’ output, and we might hear less about rogue AI. We would need to introduce new frameworks and available tools for tracking automated lawbreaking, to be sure, but I’d wager that little would frighten the AI companies more than actually being held accountable for what their products enable. To that end, Illinois has passed an AI liability law, which the industry fought tooth and nail, and Florida is considering one. The next steps would be towards moving AI under public control; again, it’s only reasonable, since everyone, not just AI insiders, should get a say over how a technology whose developers say might kill us is developed and deployed. Dismantling the whole industrial project as currently structured should be on the table, too, pending democratic input. But that’s for another post. For now, suffice to say that while I won’t be losing any sleep about an AI-enabled extinction event, Mr. Coxon and co. have given us an opportunity to underscore the urgency of the clear and present damage AI companies are doing, the extreme power they wield and the extent to which they hold themselves unaccountable, and the abundance of political capital there is out there for taking them on. Subscribe 1 Purely speculative! I do not know if he did or not.
Bhutan business bets on hazelnuts for farming future
Farmer Pema Dema had never even heard of hazelnuts when she was first recruited to begin growing them on her land in Bhutan's Thimphu region.Pema is one of thousands of Bhutanese growing hazelnuts as part of a social enterprise hoping to help subsistence farmers develop a high-value crop.
Performers’ Circle features Putah Creek Crawdads
The Performers’ Circle will celebrate the beginning of fall as the Putah Creek Crawdads playing folk and bluegrass tunes at 7 p.m. Tuesday, Sept. 22, at Davis Odd Fellows Hall,
Multi-generational business expertise: How legacies in local businesses find sustained success
Join us Sept. 29 for our third Power Breakfast of 2026 as business leaders share how they leverage decades of institutional wisdom. The Greater Fayetteville Business Journal invites you to join us for our third quarterly Power Breakfast, The Family Business Advantage: How Third-Generation Leaders Drive Longevity and Innovation, where business owners, executives and community leaders will come together to explore how multi-generational leadership creates lasting success. We are proud to welcome CEO of Holmes Security Systems, Stephen Wheeler; Director of Communications for Copiers Plus, Drew Smith; Inside Sales at Hubbard Supplyhouse, Mary Grace Hurley; and Managing Partner of Luigi’s Italian Chophouse & Bar, Nate Ernst, as our featured panelists. Representing the third generation of leadership within their family businesses, each brings a unique perspective on honoring decades of tradition while embracing new ideas, technologies and strategies that drive long-term growth. Together, with moderator Lauren Willets, Director of the Family Enterprise Center at UNC’s Kenan-Flagler Business School, they will share the challenges, opportunities and lessons learned from leading established organizations into the future.“Growing up in a family business gave me a unique perspective on what business can be. I saw the pride my grandfather and father took in knowing someone was a Copiers Plus customer, and the deep responsibility they felt to support our employees and the families who depended on the business. Seeing that sense of connection firsthand is what drew me to the business, and the legacy they built continues to drive me today. I’m excited to be part of the conversation about how family businesses can honor what previous generations built while continuing to grow and evolve for the future,” shared panelist Drew Smith. “We are so excited to welcome our panelists highlighting long-standing Fayetteville family businesses. This theme has certainly piqued the interest of the business community even beyond Fayetteville. I’m excited to pass the moderator baton over to Lauren Willets. With her background and expertise in the subject, she’s sure to unlock some great talking points and perspectives that will keep the conversation fresh and interesting to our guests. “We are so excited to welcome our panelists highlighting long-standing Fayetteville family businesses. This theme has certainly piqued the interest of the business community A third-generation family business is quite an impressive accomplishment, and we look forward to examining their secrets to a successful succession at this upcoming Power Breakfast!” shared Greater Fayetteville Business Journal Publisher Faith Hatton. Join us at the Cape Fear Botanical Garden for an inspiring morning of networking, thought-provoking discussion and actionable insights into the power of continuity, strategic evolution and visionary leadership. Whether your organization is family-owned or simply focused on creating a lasting legacy, you’ll leave with ideas that can strengthen your business for generations to come.To learn about becoming a Power Breakfast sponsor, contact the Greater Fayetteville Business Journal at 910.240.9697 or marketing@bizfayetteville.com. Tickets are on sale now. Reserve your seat by going to fayettevillepowerbreakfast.com.
Tribal Launches Campfire, Letting Business and Technical Teams Build on Salesforce Together
NEW YORK, Sept. 10, 2026 (GLOBE NEWSWIRE) -- Tribal’s Campfire is a shared canvas that lets enterprises build and change their own Salesforce or...
Build business apps with Copilot Cowork and Copilot Studio
Build full-stack business apps through conversation in Copilot Cowork and Copilot Studio, grounded in enterprise data.
SOPRIS TECHNOLOGIES Launches Moneytoring® on Google Cloud Marketplace, Offering Comprehensive Business Observability
CORAL GABLES, Fla., Sept. 10, 2026 (GLOBE NEWSWIRE) -- SOPRIS TECHNOLOGIES today announced that its flagship service, Moneytoring: Business Observability as a Service, is now available on Google Cloud Marketplace. This milestone enables Google Cloud customers to procure, deploy, and scale Moneytoring directly through their existing cloud accounts. By utilizing consolidated billing through Google Cloud, enterprises streamline procurement and leverage their committed cloud spend to protect revenue
Morpholio Trace for Business Brings a New Way for Firms to Buy and Deploy at Scale
New Enterprise Offering Connects Trace to the Vectorworks Customer Portal, Enabling Centralized Purchasing, Licensing, and Managed Deployment, With Early Access to Upcoming Trace Ultra Tier. Morpholio Trace for Business Now Available Morpholio Trace for Business Brings Firms a New Way to Centralize Purchasing, Licensing, and Manage Deployment Columbia, MD, Sept. 10, 2026 (GLOBE NEWSWIRE) -- Morpholio from Vectorworks launches Trace for Business, a new enterprise tier that gives organizations str
Stop Automating Your CRM, Start Orchestrating Your Business
Why CRM must evolve into an AI-powered operating system that unifies agents, workflows, governance, and customer experience across the enterprise.
Future of Health Asia 2026 to connect policy, finance and care for sustainable health systems
Economist Enterprise will host the 6th Future of Health Asia on September 29th at the Grand Hyatt Singapore. This premier event convenes over 500 industry, medical and government leaders to address the structural forces reshaping healthcare across the region.
Viewpoint: Unlocking Europe’s wildfire data
Europe is already investing in the science, technology and infrastructure needed to understand, prevent and fight wildfires. Copernicus provides satellite-based Earth observation and environmental information, while the European Forest Fire Information System provides information on fire danger and forest fires across Europe. Weather and climate systems add forecasts of heat, drought, wind and humidity; historical fire databases show where fires have occurred; and researchers generate increasingly detailed knowledge about fuels, fire behaviour, forecasting, modelling and risk management. Meanwhile, new European research projects are adding digital twins and other tools to this growing ecosystem.However, these data do not necessarily sit together, nor are they necessarily described, structured or governed in ways that allow them to be used together. Much of the information is public, but some is commercially held. Some is sensitive. Some is subject to legal, security or operational restrictions. Even when data can be legally accessed, different systems may use different formats, terminology and rules.Europe therefore faces an unusual paradox: we have vast amounts of relevant information to respond to the wildfire challenge, but not the means to bring it together. For example, a wildfire researcher or emergency service might need to ask whether a particular combination of vegetation, drought, wind and topography has historically been associated with rapid fire spread. The relevant information may exist in several institutions, using different systems and subject to different conditions of access.The challenge is to conduct an authorised analysis that interacts with these sources, combines the results and respects the rules imposed by each data custodian.An important part of the answer can be found in the Fair principles, the idea that data should be findable, accessible, interoperable and reusable. Developed more than a decade ago, these principles have become a central reference point for modern data stewardship, making it easier for people and machines to find data, understand what it means and determine whether it can be reused.Readability by machines is essential, since AI systems will be key to meeting the data challenge. Bring analysis to the dataThe proposition is not to give an AI system unrestricted access to sensitive databases. Quite the opposite. The goal is to make it possible for approved algorithms to go to the data, rather than requiring sensitive data or large datasets to be copied to wherever the analysis happens.Imagine an analysis asking a series of questions of different data stations. At one station it might examine weather and climate data; at another, historical fire records; at another, experimental measurements of fire behaviour. The algorithm does not need to download everything. It can operate within the environment permitted by each data custodian and return only the results that the rules allow to leave.This is sometimes described as data visiting, and related approaches already exist in areas such as federated analysis and federated learning.Sensitive data should therefore not be treated as a free-for-all for machines. This requires appropriate governance at multiple levels. Access needs to be authenticated and authorised. The purpose of an analysis should be defined. The code or model being run should be controlled. Data custodians should be able to specify what can be queried and what results can leave their environment. Activities should be auditable and human oversight should remain where the consequences require it.In other words, the objective is not to trust AI with the data. It is to design systems in which AI never has more access than it needs.As open as possible, as closed as necessaryFair data should also not be confused with open data. Some wildfire data should be openly available. Other information may legitimately need to remain restricted because it concerns critical infrastructure, security, commercial interests, privacy or operational capabilities. The principle should be: as open as possible, as closed as necessary.The important point is that restricted data should not automatically become unusable data. If machines can discover what information exists, understand its meaning, establish where it came from and determine the conditions under which it can be used, authorised analyses can potentially be carried out without the underlying data ever leaving the environment in which it is protected.Restricted data can still be Fair and machine-actionable.This is also an important question of data sovereignty. European institutions should not have to surrender control of their data to a handful of technology platforms in order to benefit from AI. Nor does Europe need to start again by building one giant repository for every piece of wildfire information. The better approach is to connect what already exists.This is the principle behind emerging approaches such as Tryangle, developed through the Leiden Initiative for Fair and Equitable Science. Rather than creating another centralised data warehouse, the approach seeks to provide an interoperable layer through which approved algorithms can visit distributed data sources while respecting the rules of their custodians.In this way, a data station can remain where it is. Its custodians can retain control. Existing databases and applications do not have to be abandoned. What changes is their ability to communicate with other systems through common, machine-readable descriptions, access rules and interoperability mechanisms.But approaches like this need data that meets the Fair principles. Only then can an interoperable ecosystem safely begin to turn fragmented information into collective intelligence.Data infrastructure is wildfire infrastructureThe implications of this approach are entirely practical. Firefighters could gain better intelligence about local and evolving risks. Land managers could test prevention strategies using more comprehensive information about fuels, weather and past fires. Researchers could compare evidence across ecosystems without repeatedly moving huge datasets between institutions. Smaller regions and resource-constrained teams could access analytical capabilities without having to build large data infrastructures themselves.Europe is already investing heavily in satellites, databases, research programmes, forecasting systems and scientific expertise. The question is whether we will connect those investments well enough to turn them into actionable intelligence.That requires policymakers and funders to treat data infrastructure as seriously as physical infrastructure. Data generated or supported through European public funding should be Fair, verifiable and machine actionable by design, wherever legally and ethically possible.Related articlesData Corner: Europe’s burning need for wildfire mitigation researchClimate monitoring must remain a global enterprise, experts sayIn practice, that means funding not only the production of data, but also the infrastructure that makes data usable across systems: metadata, provenance, interoperability, access mechanisms and governance. Where data must remain restricted, we should ensure that it can still be securely discovered, verified and used for authorised analysis.Initiatives such as the European Open Science Cloud offer an existing framework through which these principles can be put into practice. What is needed now is to accelerate implementation and make them a standard part of how Europe funds and builds research and innovation systems.We do not need another generation of disconnected databases. The data is already there. The opportunity is to make it work together, securely, responsibly and quickly enough to help prevent the next fire, rather than simply document the last one.Jean-Claude Burgelman is professor emeritus at the Free University of Brussels (VUB) and editor-in-chief at Frontiers Policy Lab. For more than 20 years he held leading roles in research and innovation policy at the European Commission.
Cleveland Clinic Partners with Luminai to Transform Health System Operations
Collaboration applies AI automation to complex administrative processes at enterprise scale – with fax referral transcription as the first use case
BBH Launches a New Technology Business, Braid, Solving for Intelligent Data Transformation
BOSTON, September 09, 2026--Brown Brothers Harriman (BBH) today announced the launch of a new technology affiliate, Braid LLC, focused on solving enterprise data transformation for financial services. Braid offers an AI-native data transformation platform that gives firms a scale solution to transform, connect, and manage their data with confidence.
Accenture and Google Cloud establish Gemini Enterprise Business Group
The partnership aims to accelerate enterprise adoption of agentic AI, offering expanded industry expertise and technical resources.
DMTC gets mysterious and spooky
Whether it’s new love, enduring love, misunderstood love, or even love for the moon, it seems that every kind of love has a place in “The Addams Family.”
Accenture and Google Cloud are creating a joint unit to embed AI engineers in enterprises
The Accenture Gemini Enterprise Business Group will train and deploy forward-deployed engineers to help enterprises build and scale agentic AI applications
AI Factories Turn Infrastructure Into a Business Advantage
AI factories are an industry must as enterprises move from experimentation to scaled agentic workloads, says Penguin Solutions’ Aaron Johnson.
William Shatner reveals truth behind 'Star Trek' Tribbles scene, sliding doors
LOS ANGELES ― While still helming the U.S.S. Enterprise as rugged Captain James T.
Factory Entertainment Announces New STRANGE NEW WORLDS, VOYAGER, and STAR TREK IV Prop Replicas
Factory Entertainment has several new prop replicas to reveal for today’s STAR TREK DAY, including new recreations from STRANGE NEW WORLDS, VOYAGER, and STAR TREK IV — plus the new classic USS Enterprise cutaway poster, coming in October!
Six decades of politics (but little government)
The first aired episode of “Star Trek,” entitled “The Man Trap,” premiered on September 8, 1966 — 60 years ago today. I’m actually editing a political science fiction issue of The Forum right now, and it’s prompted to me think a lot about the ways that Trek deals with politics and government and what it’s offered us as commentary. The @smotus report is a reader-supported publication. To support this work, please become a paid subscriber. Subscribe The original TV series ran from 1966 to 1969. It had a loyal but modest following, but the audience grew substantially with the series in syndication for years after that. The franchise developed its first motion picture in 1979, followed by five sequels, and then a whole other series of films built around the “Next Generation” series that first aired in 1987. In recent decades, several more TV series have built up around it, including the current “Strange New Worlds,” now in its fourth season. Throughout the past six decades, the franchise has offered us a good many insights into US politics and international relations, although often disguised as science fiction yarns. The original series was largely a Cold War fable, with the United Federation of Planets (a stand-in for the US) perpetually at odds with the Klingon Empire (a stand-in for the USSR). The “Let That Be Your Last Battlefield” episode (1969) posited a planet divided into two races, largely indistinguishable to outsiders, but nonetheless constituting a brutal racial hierarchy. “Patterns of Force” (1968) showed a struggling planet where the leader had attempted to construct a benevolent dictatorship — literally Nazism without bigotry — and found that authoritarianism could not exist apart from hierarchy and oppression. (Relatedly, I’d put “Star Trek VI: The Undiscovered Country,” high on a list of dad films about the end of the Cold War, near “The Hunt for Red October.”) Get 20% off for 1 year Indeed, the original series itself was something of a political statement, with a multi-racial crew running the Enterprise, a diverse and largely peaceful Federation mostly free from want and oppression, and protected by Starfleet, an armed force whose scientific mission was at least as important as its military one. Famously, when Nichelle Nichols wanted to walk away from the role of Uhura on the original series, none other than Martin Luther King, Jr. met with her and urged her to remain on the show, discussing the importance of viewers seeing an intelligent Black woman as part of the command team three centuries hence. Later series in the Trek franchise offered a good deal of political commentary on their own, but probably none as explicitly and incisively as “Deep Space Nine,” which ran from 1993 to 1999. The episodes surrounding the Dominion War, especially the “In The Pale Moonlight” (1998), showed the compromises, sacrifices, and moral rot associated with winning even a just war — probably better than any series would until “Andor” (2022-25). In “Far Beyond The Stars” (1998), Captain Benjamin Sisko is somehow transplanted to the role of a science fiction writer in 1950s New York. The writer is frequently sidelined and his ideas stolen because publishers don’t want to credit a Black writer. Several series have depicted the secretive Section 31 — an unacknowledged black ops security force operating within Starfleet. These episodes often end up using Section 31 as a foil to show the dangers of a lawless group within a lawful society, even (especially) when that group posits itself as essential for everyone else’s freedom to continue. The current “Strange New Worlds” has played with a few political themes. I found the first two seasons of this show among the best that the Trek franchise has produced in decades, but this season and the last have really been struggling for ideas. Yet one interesting thread is the idea that the diplomatic and enlightened leadership style of Captain Christopher Pike will not work in all situations. “A Quality of Mercy” (2022), which I wrote about here, puts Pike in the middle of a battle with a Romulan vessel in an alternate timeline, and finds that Pike’s conciliatory style would actually make a lengthy and deadly war more likely, while a quick and more violent approach might have prevented the war. This season’s opener, “Valles Marineris,” shows a pre-lightspeed civilization locked in a war to the death with a neighboring planet. The idea of an alliance or a federation hasn’t even occurred to them — their ship’s commander is curious but doesn’t see it as an option. For a franchise as political as “Star Trek,” one thing we almost never see is the government. We get occasional glimpses of Starfleet’s council — mostly uniformed people at a rectangular table — but almost no sense of how the Federation is governed. Are there elections? Who is in the legislature? How much power does the president have? What kind of factional divisions do they wrestle with and how? The shows and films are pretty silent on this. We’ve seen a few military tribunals within Starfleet, but little about how civilians deal with crime and injustice. With recent years seeing some of the franchise’s more interesting plot lines and casts, it seems clear that Star Trek is still full of energy and ideas. Given the erosion of American democracy and the reshuffling of the international order, there’s no shortage of material for future shows to comment on. I’m not sure we should toast to 60 more years, but cheers to a show that continues to teach us about ourselves. Share
Qualderm and Parakeet Health Partner to Expand Patient Access Across National Dermatology Network
/PRNewswire/ -- Parakeet Health, a healthcare AI company that is transforming patient engagement at enterprise scale, and Qualderm, a management services...
Qualderm and Parakeet Health Partner to Expand Patient Access Across National Dermatology Network
Parakeet Health, a healthcare AI company that is transforming patient engagement at enterprise scale, and Qualderm, a management services organization for a national physician-led skin care network, today announced a collaboration to expand patient access, strengthen care continuity and reconnect patients following cancellations, missed visits, and overdue follow-ups.
Accenture and Google Cloud Deepen Partnership with Formation of New Accenture Gemini Enterprise Business Group
Accenture and Google Cloud today launched the Accenture Gemini Enterprise Business Group, a global group designed to help clients scale Gemini Enterprise outcomes in the agentic AI era.
Business Rules Management System Market to Reach $4.20 Billion by 2035 as AI-Driven Decision Automation Accelerates
The U.S. Business Rules Management System Market is Projected to Grow from $0.47 Billion in 2025 to $1.09 Billion by 2035, While Europe is Expected to Expand from $0.54 Billion to $1.36 Billion, Driven by Real-Time Decision-Making, Regulatory Compliance, Enterprise Automation, and Rising Adoption of AI- and Machine Learning-Enabled Business Rules PlatformsAustin, United States, Sept. 07, 2026 (GLOBE NEWSWIRE) -- The Business Rules Management System Market was valued at USD 1.79 Billion in 2025 a
Physitrack Wins Deal with Large US Healthcare System Following Competitive Process
Three-year enterprise agreement with a total contract value of approximately US$390,000 (approximately EUR 336,000) in total, subject to signing of the software services agreement.New York City, September 7, 2026Physitrack PLC (Nasdaq First North Premier Growth Market: PTRK), a global provider of d…