RT @Zai_org: GLM-5.3 ist jetzt auf Amazon Bedrock verfügbar.
mehr auf Arint.info
#AgentCapabilities #AmazonBedrock #CloudComputing #CodingTools #EnterpriseAI #GLM53 #arint_info
#enterprise-ai — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #enterprise-ai, aggregated by home.social.
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Companies are spending time and money on security awareness training, yet there is little evidence it effectively counters social engineering.
Source: SecurityWeek
https://www.securityweek.com/social-engineering-detection-moves-into-the-live-conversation/ -
Agility as a pillar of sovereignty
Bull has cut the ribbon on the first phase of a major overhaul of its Angers factory, where…
#Europe #EU #AIAdoption #Audio #EnterpriseAI #European #Infrastructure
https://www.europesays.com/europe/153126/ -
https://www.europesays.com/3292337/ Agentic AI moves into enterprise execution ##InforVelocity #AgenticAI #AgenticArtificialIntelligence #AI #AIAgents #AIGovernance #ArtificialIntelligence #Automation #DigitalTransformation #EnterpriseAI #EnterpriseSoftware #ERP #IndustryAI #InforCloudSuite #InforVelocitySuite #InforVelocityWeek2026 #InforVelocity26eventpage #ProcessIntelligence #ProcessMining #TheCube
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Meta and Microsoft are working to cut their employees' use of Anthropic's Claude. Microsoft has reduced its planned internal spend on Anthropic's technology by more than a third.
Source: The Information
https://www.theinformation.com/articles/meta-microsoft-work-wean-staff-anthropics-claude -
Most orgs chasing the latest AI model are missing the point entirely.
Sophie Dionnet from Dataiku puts it plainly: the transformation you need today doesn't require the newest model. It requires the hard, unglamorous work of change management.
The real trap? Preferring the new toy over actually putting it to use.
Watch on YouTube: https://youtube.com/shorts/1iSO634q-Lw
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Banks are topping AI spending, and telecom companies are struggling to show returns. Telecoms lead BCG's new AI strategic clarity index but report some of the thinnest returns.
Source: TechCentral
https://techcentral.co.za/banks-top-ai-spending-telcos-struggle-returns/286868/ -
Deutsche Telekom expects AI and automation to generate about EUR2.5 billion in indirect-cost savings by 2030, roughly US$2.8 billion, compared with 2023.
Source: DigiTimes Asia
https://www.digitimes.com/news/a20261005VL210/business-revenue-telecom-automation-infrastructure.html -
Standard Chartered overhauls data and infrastructure to scale AI after fixing foundations.
Source: Digital News Asia
https://www.digitalnewsasia.com/business/standard-chartered-overhauls-data-and-infrastructure-scale-ai -
"Feeding unstructured, siloed data into massive models just scales bad outputs faster." 🧠
Quantexa's Dan Onions highlights why most enterprise AI risks fail due to chronic data inconsistencies. Building a robust context layer is essential to ground AI decisions in trusted data.
Read the interview:
https://www.techfinitive.com/interviews/dan-onions-global-svp-of-data-ai-at-quantexa-feeding-unstructured-siloed-data-into-massive-models-just-scales-bad-outputs-faster/ -
Anthropic's Claude is now available in India via Amazon Bedrock, offering in-country inference. The service includes audit trails and access controls for risk and compliance teams.
Source: BusinessLine
https://www.thehindubusinessline.com/info-tech/anthropics-claude-live-in-india-with-in-country-inference-through-amazon-bedrock/article71545810.ece -
Businesses are using AI to predict what individual customers will pay and what workers will accept being paid.
Source: Startup Daily
https://www.startupdaily.net/topic/artificial-intelligence-machine-learning/businesses-are-using-ai-to-predict-what-individual-customers-will-pay-and-workers-will-accept-being-paid/ -
Are we chasing AI progress—or avoiding change?
In our conversation, Sophie Dionnet of Dataiku argues that most organisations don’t need the latest model. The harder work is change management: turning useful technology into real transformation. The trap is choosing the new toy over putting AI to work.
Watch on YouTube: https://youtube.com/shorts/1iSO634q-Lw
#EnterpriseAI #Dataiku #DigitalTransformation #ChangeManagement
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AI isn’t magic. In our conversation with Sophie Dionnet (Dataiku), she cuts to the real enterprise AI trap: not models, but change management.
“Taking a decision is one hour, implementation is two years.”
That gap is where AI succeeds or stalls.
Watch on YouTube: https://youtube.com/shorts/Rh2kZ4P_ib4
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Only 2% of Singapore organisations are confident they can withstand cyberattacks accelerated by frontier artificial intelligence models.
Source: Frontier Enterprise
https://www.frontier-enterprise.com/only-2-of-singapore-firms-recovery-plans-ready-as-frontier-ai-threats-loom/ -
AI is speeding up exploits and vulnerability spreadsheets can't keep up, according to recent analysis.
Source: The New Stack
https://thenewstack.io/cve-vulnerability-risk-management/ -
AI has disrupted software economics because heavy usage of AI products costs vendors money while invoices remain fixed.
Source: The Next Web
https://thenextweb.com/news/vayu-revenue-intelligence-hub-ai-margins-cfo -
A hospital giant and radiology network hired Palantir to streamline scheduling, but nurses and other staff say the new software is causing errors, burnout and frustration.
Source: WIRED
https://www.wired.com/story/healthcare-workers-are-tired-of-cleaning-up-palantirs-mess/ -
BMW announced it will cut 20 percent of senior management positions using artificial intelligence by mid-2027. The company said the reductions will later extend to frontline staff.
Source: DigiTimes Asia
https://www.digitimes.com/news/a20261002PD244/bmw-management-layoffs-2028.html -
Zhou Yuxiang hired food delivery riders from Meituan and Ele.me as salespeople for Black Lake Technologies after traditional software professionals failed to access factories.
Source: Fortune
https://fortune.com/2026/10/02/black-lake-yuxiang-zhou-ai-china-google-moment/ -
Ema підняла 77 мільйонів доларів за раунд, у якому оцінка зросла вчетверо.
23 вересня 2026 року компанія Ema закрила раунд Series B на 77 мільйонів доларів. Раунд очолив фонд Creaegis, до угоди доєднались наявні інвестори Accel, S32 та Prosus, які збільшили свої попередні частки. Загальне фінансування Ema досягло 140 мільйонів доларів, а оцінка зросла більш ніж у чотири рази порівняно з попереднім раундом. Компанія будує платформу автономних AI агентів для HR, IT та фінансових відділів під назвою AI Employee, і позиціонує продукт не як асистента, а як заміну цілих робочих функцій.
Клієнт компанії Wipro обробляє агентами Ema 2,9 мільйона запитів співробітників щороку. Це не інфраструктурний мегараунд на кшталт OpenAI чи Anthropic, де мова йде про десятки мільярдів. Це B2B SaaS сегмент, який заміщує класичні корпоративні інструменти автономними агентами і показує реальну клієнтську тракцію, а не лише презентацію моделі на слайдах. Кошти підуть на експансію в APAC та EMEA і масштабування go to market команди. За останній рік подібні раунди agentic AI стартапів почали закриватись швидше і з більшим кроком оцінки, ніж класичні SaaS раунди того самого розміру річної виручки. Паралельно зростає кількість enterprise клієнтів, які замінюють окремі ліцензії на софт підпискою на агента, що виконує роботу кількох спеціалістів одночасно.
Для фаундера це сигнал. Інвестори зараз платять за кількість оброблених запитів і глибину інтеграції в процес клієнта, а не лише за ARR. Фаундерам B2B SaaS варто рахувати не тільки виручку, а операційний обсяг, який продукт знімає з рук клієнта, і виносити цю метрику на раунд окремим слайдом поруч із фінансовими показниками. Для інвестора чотирикратний стрибок оцінки за рік вимагає окремої перевірки unit economics, а не довіри до заголовної суми раунду. Revenue multiple при agentic AI часто випереджає реальний retention, і хто дивиться лише на ARR, пропускає ризик відтоку, який вже видно на ринку AI продуктів з високим churn серед платних підписників. Ранньостадійний капітал для подібних угод дедалі частіше заходить через SPV і синдикати, а не через прямі чеки на 250 тисяч доларів, і це відкриває участь менших чеків у якісному deal flow. П'ять до п'ятнадцяти відсотків портфеля в такі ризикові угоди лишається питанням особистої толерантності до ризику, а не універсальним правилом для кожного інвестора.
Я б перевіряв не заголовну оцінку, а те, скільки із заявлених мільйонів запитів насправді унікальні і платні, а не повторні виклики тієї самої задачі. Чотирикратний мультиплікатор за рік занадто швидкий для прямого порівняння з класичним SaaS бенчмарком десятирічної давнини. Хто з вас бачив розкриття retention метрик у подібних agentic AI раундах, а не лише суму чека і список фондів?
#інвестиції #стартапи #венчур #фаундер #аналітика #ринок #startups #venture #VC #SaaS #fundraising #virgroup #SeriesB #EnterpriseAI
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Most companies lock down AI governance so tight they can only run 2-3 use cases. Then they wonder why they can't scale.
Sophie Dionnet explains the critical mistake: supervising the model itself, not just the outputs. Watch how one quantitative equity incident revealed why enterprise AI trust starts with governance architecture.
Watch on YouTube: https://youtube.com/shorts/tnZRW8u5vDQ
#AIGovernance #EnterpriseAI #LLMSecurity #Dataiku #dataiku #aigovernance #llmsecurity #ai #enterpriseai
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Gemini 4 Argon: the new frontier AI model transforming enterprise security and performance
https://gadgetflux.eu/gemini-4-argon-ai-avansat-pentru-securitate/
#Gemini4Argon #GoogleAI #AIsecurity #CyberDefense #MachineLearning #TechNews #EnterpriseAI #GadgetFlux #ArtificialIntelligence #DeepLearning
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BMW will cut 20% of senior management roles and use AI to streamline its leadership structure.
Source: Business Today
https://www.businesstoday.in/jobs/story/bmw-to-cut-20-of-senior-management-roles-with-ai-as-it-pushes-for-cost-savings-559029-2026-10-01?utm_source=rssfeed -
Oracle announced Fusion Claw, a governed agentic execution runtime for Oracle Fusion Agentic Applications. The runtime combines AI reasoning with deterministic enterprise computation.
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OpenClaw Enterprise is a game-changer: enterprise AI agents with total security
https://gadgetflux.eu/openclaw-enterprise-platforma-ai-pentru-agenti/
#OpenClaw #AI #EnterpriseAI #AIAgents #OpenSource #TechNews #CyberSecurity #Automation #GadgetFlux
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ICYMI: MongoDB loses its CEO of 10 months to Meta's new enterprise AI unit: Muse, Business Agent, Muse API and Muse Code are the first tools Meta will package for firms and developers, with no price or date. Where do advertisers fit? https://ppc.land/mongodb-loses-its-ceo-of-10-months-to-metas-new-enterprise-ai-unit/ #MongoDB #Meta #AI #EnterpriseAI #TechNews
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AI isn’t magic. In our conversation with Sophie Dionnet (Dataiku), she cuts to the real enterprise AI trap: not models, but change management.
“Taking a decision is one hour, implementation is two years.”
That gap is where AI succeeds or stalls.
Watch on YouTube: https://youtube.com/shorts/Rh2kZ4P_ib4
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An overhaul led by Apple CEO John Ternus could bring faster product development, fewer management layers, and job cuts.
Source: Gadgets 360
https://www.gadgets360.com/ai/news/apple-ceo-john-ternus-push-fatster-launch-job-cuts-mark-gurman-report-12119250#rss-gadgets-all -
One point I did not want to lose in the shorter version: the same controls that appear to slow AI deployment may ultimately be what allows organizations to scale it safely. Trust is not just a compliance outcome; it can become an adoption advantage. The full argument is here: https://technologytrends60.wordpress.com
#AIGovernance, #AI, #AISecurity, #AIAgents, #CyberSecurity, #RiskManagement, #EnterpriseAI, #BoardGovernance, #Leadership, #CIO, #DigitalTransformation, #TechnologyLeadership, #BusinessResilience
https://stayingalive.in/cataloguing-strategic-innov/the-ai-security-paradox.html -
The AI Security Paradox.
AI risk is not just about smarter models. Boards must govern autonomy, access, accountability, and resilience before AI agents scale across the enterprise.https://technologytrends60.wordpress.com/2026/09/30/the-ai-security-paradox/
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MongoDB loses its CEO of 10 months to Meta's new enterprise AI unit: Muse, Business Agent, Muse API and Muse Code are the first tools Meta will package for firms and developers, with no price or date. Where do advertisers fit? https://ppc.land/mongodb-loses-its-ceo-of-10-months-to-metas-new-enterprise-ai-unit/ #MongoDB #Meta #AI #EnterpriseAI #TechNews
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Meta announced that its new enterprise platform will be led by the outgoing MongoDB chief.
Source: Silicon Republic
https://www.siliconrepublic.com/business/meta-enterprise-platform-to-be-led-by-outgoing-mongodb-boss-ai -
Meta Platforms announced the formation of a new business unit focused on increasing the use of AI by enterprises. Chirantan Desai will run the operation as chief enterprise platform officer.
Source: TahawulTech
https://www.tahawultech.com/home-slide/meta-unveils-new-ai-enterprise-unit/ -
https://www.europesays.com/people/247108/ Meet Chirantan Desai, MangoDB CEO poached by Mark Zuckerberg to build Meta AI business #AIInfrastructure #ChirantanDesai #DevelopersAndBusinesses #EnterpriseAI #IndianOriginExecutive #MarkZuckerberg #MetaBusinessAgent #MetaEnterprisePlatform #MongoDB #MuseAiAgent
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Meta announced it is creating a new enterprise AI business and hired MongoDB CEO CJ Desai to lead it as Chief Enterprise Platform Officer reporting to Mark Zuckerberg.
Source: The New Stack
https://thenewstack.io/meta-enterprise-platform-desai/ -
New episode with @Dataiku's Sophie Dionnet: The 3 ingredients that turn AI into value are people, orchestration, and governance as fuel, not a brake.
Most failures are change management problems, not tech problems. So, where's the real work? Watch on YouTube for the full talk.
#AIAnalytics #EnterpriseAI #Dataiku #AnalysePodcast
https://youtu.be/Dt2ZvjxlRCg?ref=analysepodcast.com -
Most orgs chasing the latest AI model are missing the point entirely.
Sophie Dionnet from Dataiku puts it plainly: the transformation you need today doesn't require the newest model. It requires the hard, unglamorous work of change management.
The real trap? Preferring the new toy over actually putting it to use.
Watch on YouTube: https://youtube.com/shorts/1iSO634q-Lw
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Building the real stuff at Siemens
Roland Busch German industrial giant Siemens has seen a lot in its 180 years in business, but there’s…
#Germany #DE #Europe #EU #Europa #Siemens #agenticai #AIadoption #Connectedmanufacturing #CRMandcustomerexperience #EnterpriseAI #IoTanddigitaltwins #SalesandRevOps #siemens
https://www.europesays.com/germany/99455/ -
https://www.europesays.com/3275269/ KT Unveils Agentic On, Platform Linking AI Agents to Company Systems #AgenticAI #AgenticAIPlatform #AgenticArtificialIntelligence #AgenticOn #AI #AIAgents #AISecurity #ArtificialIntelligence #BusinessAutomation #EnterpriseAI #kt
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Most orgs chasing the latest AI model are missing the point entirely.
Sophie Dionnet from Dataiku puts it plainly: the transformation you need today doesn't require the newest model. It requires the hard, unglamorous work of change management.
The real trap? Preferring the new toy over actually putting it to use.
Watch on YouTube: https://youtube.com/shorts/1iSO634q-Lw
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https://www.europesays.com/people/242677/ Anthropic Seeks 50.1% Founder Voting Control Ahead of IPO #AI #AICloud&Data #Anthropic #california #CorporateGovernance #DarioAmodei #EnterpriseAI #GenAI #IPO #Leadership #SanFrancisco #TechInvestment #Technology #UnitedStates
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Organisations rarely lack knowledge. They lack a reliable way to find and use it.
Could one secure corporate AI assistant connect documents, systems, processes and expertise across the enterprise?
https://www.penportal.com/@chribonn/the-organisation-that-knows-what-it-knows
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Generic ERP was built to standardise baseline enterprise functions, but vertical AI is exposing where that broad-brush model falls short.
While basic AI assistants can summarise purchase orders or flag unpaid invoices, true operational value comes from AI that understands industry context, like machine stoppage causes, batch compliance, or service-level risks.
Read the full analysis on TechFinitive:
https://www.techfinitive.com/features/vertical-ai-will-expose-the-limits-of-generic-erp/ -
The Most Dangerous AI KPI Is Headcount Reduction.
When AI frees 30% of a team’s capacity, should the default response be cost reduction or reinvestment? What determines that decision in your organization? #AI, #ArtificialIntelligence, #EnterpriseAI, #AITransformation, #AgenticAI, #AIStrategy, #AIGovernance, #Leadership, #CIO, #DigitalTransformation, #FutureOfWork, #WorkforceTransformation, #CorporateGovernance, #BusinessStrategy -
When AI frees 30% of a team’s capacity, should the default response be cost reduction or reinvestment? What determines that decision in your organization? #AI, #ArtificialIntelligence, #EnterpriseAI, #AITransformation, #AgenticAI, #AIStrategy, #AIGovernance, #Leadership, #CIO, #DigitalTransformation, #FutureOfWork, #WorkforceTransformation, #CorporateGovernance, #BusinessStrategy
https://stayingalive.in/cataloguing-strategic-innov/the-most-dangerous-ai-kpi.html -
Where would you draw the line between AI-assisted analysis and AI-made judgment in your organization? More importantly, who is accountable for that line? #ArtificialIntelligence #AIGovernance #CIO #BoardGovernance #Leadership #DigitalTransformation #EnterpriseAI #GenerativeAI #AIStrategy #FutureOfWork #DecisionMaking #TechnologyLeadership
https://stayingalive.in/cataloguing-strategic-innov/the-real-ai-risk-outsourcin.html -
Alibaba Cloud plans 20GW AI infrastructure expansion by 2032 https://www.cloudcomputing-news.net/news/alibaba-cloud-ai-infrastructure-20gw-2032/?utm_source=dlvr.it&utm_medium=mastodon #Cloud #Automation #Data #CTO #DataArchitecture #DataScience #DigitalTransformation #EnterpriseAI
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Copilot saving time for individuals does not mean Copilot saves time for organisations
I thought this was a really interesting finding from Microsoft’s own research on Copilot 365 using usage data from 6000 trial licenses across 56 firms:
The introduction of Copilot has led to significant changes in email-related behaviors among workers. The average worker in the control group spent 2.8 hours each week reading email and licensees spent 12 fewer minutes reading emails each week, a 7% decrease. This time savings reflects a combination of fewer individual emails read each week, 9 fewer per week, and an increase in reading efficiency, as workers with Copilot spend a few seconds less reading each email on average. Copilot users spent 18% less time reading email, saving more than half an hour each week. We hypothesize that some combination of Outlook Summarize and searching for email content in M365 Copilot Chat allows users to spend less time with individual emails.
If individuals are saving time by reading fewer e-mails and reading existing e-mails more quickly, this plausibly increases the likelihood they will take action which causes more work to be accumulated downstream of the ‘saving’. The authors have an optimistic reading based on Copilot users replying to the same number of e-mails, but the point where ‘more effective triage’ becomes ‘inattention’ is rather ambiguous at best. This doesn’t mean that more time spent reading e-mail is necessarily good, only that less time spent on e-mail is plausibly going to create problems just as much as it represents an efficiency gain. If you just measure efficiency in terms of individualised effects then you’re just not going to pick up on the second-order consequences of AI-generated efficiency savings within organisations. The same point holds true for individuals making documents more quickly:
We expect that the generative capacities of M365 Copilot may help workers produce Word documents more quickly. That speed can have additional ripple effects on how people work. They may have time to contribute to more documents; they may finish rough drafts earlier and take the time to elicit feedback from more colleagues; alternatively, they may co-write less often with colleagues, using Copilot as a substitute writing partner.
This is an interesting finding but there’s absolutely no reason to assume it’s intrinsically a positive thing. People producing documents more quickly can just as easily mean the proliferation of ‘workslop’ in which low quality documents circulate which require more downstream work to address their deficiencies. The social costs only show up in this research design when it comes to meetings:
We looked at Copilot’s effect on the number of Teams meetings attended and total time spent in meetings each week. We find that receiving a Copilot license leads to small and statistically insignificant increases in both metrics, but also a (statistically significant) decrease in the proportion of scheduled meeting time during which people actually met, i.e., Copilot licensees are likelier to join meetings later and leave meetings earlier.
Again not all meetings are valuable. But if Copilot users are likelier to join meetings later and leave earlier it suggest that the AI is being leveraged to support personal time saving, on the assumption the automated features will protect against any determinant to the shared work. It’s not clear to me why this would be the case.
#AI #copilot #efficiency #enterpriseAI #higherEducation #microsoft #university -
DraftKings reportedly built an AI model to identify and target users who are likely to lose money, raising questions about AI's role in gambling platforms. The story highlights how companies are using AI for customer targeting in the gaming industry. https://gizmodo.com/draftkings-built-an-ai-model-to-target-profitable-losers-report-claims-2000814536 #AIagent #AI #GenAI #EnterpriseAI