Live and recent posts from across the Fediverse tagged #enterprise-ai, aggregated by home.social.
SAP Connect 2026 – SAP leadership responds to hot AI issues, and explains why “generic models” fall short
SAP’s Christian Klein and Marielle Ehrmann SAP Sapphire is the splashiest SAP show – and few Sapphires were…
#Germany #DE #Europe #EU #Europa #SAP #agenticai #Datamanagement #EnterpriseAI #Governingidentityprivacyandsecurity #sap #Security
https://www.europesays.com/germany/105533/
A quantitative equity incident made one thing clear: AI trust depends on deep model supervision.
With Sophie Dionnet, we explore why tight, centralised governance may work for 2–3 use cases—but blocks scale. Companies that scale AI build the governance environment first.
Watch on YouTube: https://youtube.com/shorts/tnZRW8u5vDQ
#AIGovernance #EnterpriseAI #LLMSecurity #AI #dataiku #aigovernance #llmsecurity #ai #enterpriseai
Backbase has launched Conversational Banking to let customers complete banking tasks through voice or text using AI agents.
Source: Fintech News Singapore
https://fintechnews.sg/138756/ai/backbase-conversational-banking-ai-agents/
Amazon confirmed that it cut a small number of jobs, mainly in its Stores unit. Employees in the US, India and the UK received notices.
Source: Gulf News
https://gulfnews.com/business/retail/amazon-lays-off-retail-staff-across-us-india-and-uk-1.500702876
Zendesk chief executive Tom Eggemeier stated that Meta's Muse saved him $3,105 in five days. Eggemeier also said Zendesk will end the year with about $400m of AI revenue.
Source: The Next Web
https://thenextweb.com/news/tom-eggemeier-zendesk-meta-muse-ai-revenue-tnw-podcast
Goldman Sachs warns that middle managers are at risk because new hires will oversee artificial intelligence.
Source: The Business Times Singapore
https://www.businesstimes.com.sg/companies-markets/banking-finance/goldman-sachs-says-middle-managers-risk-new-hires-oversee-ai
SAP launched the "autonomous enterprise" in Vegas and #CX got a generous 2 minutes of keynote time. Looks like Cinderella didn’t just arrive through the kitchen. She had to do the billing too.
https://www.europesays.com/3296549/ Midwest Wheel builds toward AI agents that fix problems ##InforVelocity #AccoubtsPayableAutomation #AgenticAI #AgenticAIGovernance #AgenticArtificialIntelligence #AI #AIAgents #AIGovernance #AIGuardrails #AlisonKosik #ArtificialIntelligence #ChristopheBertrand #distribution #EnterpriseAI #ERP #HumanInTheLoop #IndustryCloud #InforCloudSuite #InforVelocitySuite #InforVelocity26eventpage #ProcessAutomation #ProcessMining #SteveMcEnany #TheCube
If AI released 30% more capacity in your organization tomorrow, would management know where to redeploy it before reaching for the headcount number? #AITransformation, #CIO, #Leadership, #DigitalTransformation, #ArtificialIntelligence, #EnterpriseAI, #AIStrategy, #FutureOfWork, #BoardGovernance, #Productivity, #WorkforceTransformation, #Automation, #BusinessStrategy
https://stayingalive.in/cataloguing-strategic-innov/ai-roi-why-headcount-cuts.html
Schnieder Electric liked PTC so much, it bought the company! CEO Olivier Pascal Blum explains why it’s making its largest ever acquisition
Back in the 1970s, entrepreneur Victor Kiam told us that: I liked it so much, I bought the…
#France #FR #Europe #EU #SchneiderElectric #audio #Connectedmanufacturing #data-management #EnterpriseAI #IoTanddigitaltwins
https://www.europesays.com/france/90458/
Abu Dhabi launched the AiNative artificial intelligence training programme to equip 20,000 government employees with practical AI skills by the end of 2026.
Source: Gulf News
https://gulfnews.com/uae/abu-dhabi/abu-dhabi-to-train-20000-government-employees-in-ai-by-end-of-2026-1.500701359
Cambridge Heartwear has secured a 184 million pound tender with the UK National Health Service for its HeartSense ECG wearable.
Source: Vietnam Investment Review
https://vir.com.vn/cambridge-heartwear-secures-184-million-pound-nhs-wearable-tender-162332.html
Schneider Electric is acquiring industrial software developer PTC for about US$22.6 billion.
Source: DigiTimes Asia
https://www.digitimes.com/news/a20261007PD232/industrial-software-schneider-electric-acquisition-design.html
Enterprise AI faces a major trust deficit. 📊
While 44% of companies report scaling AI, McKinsey finds only 6% realize significant EBIT impact. Unreliable data and poor workflow design stall progress, highlighting why platforms unifying data quality, governance, and shared metadata are vital.
Read:
https://www.techfinitive.com/enterprise-ais-trust-deficit/
https://www.europesays.com/3295315/ Cognizant Extends Gilead Sciences Partnership For Five Years To Scale AI-Driven DevOps #AgenticAI #AgenticArtificialIntelligence #AI #AIInDevOps #AIDrivenSoftwareDevelopment #AIEnabledDevOps #ArtificialIntelligence #Cognizant #CognizantGileadPartnership #DevOpsAutomation #DevOpsServic #DigitalTransformation #EnterpriseAI #GileadSciences #ITServices #TechnologyPartnership
The SAP Connect 2026 burning questions preview
Lara Albert – CMO of SAP SuccessFactors SAP Connect 2026 moves into high gear Tuesday, October 6. I’m…
#Germany #DE #Europe #EU #Europa #SAP #agenticai #EnterpriseAI #HCMandthedigitalfutureofwork #sap #Skillsandtraining #talentmanagement
https://www.europesays.com/germany/104556/
RT @Zai_org: GLM-5.3 ist jetzt auf Amazon Bedrock verfügbar.
mehr auf Arint.info
#AgentCapabilities #AmazonBedrock #CloudComputing #CodingTools #EnterpriseAI #GLM53 #arint_info
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
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
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
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
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
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
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
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
Oracle announced Fusion Claw, a governed agentic execution runtime for Oracle Fusion Agentic Applications. The runtime combines AI reasoning with deterministic enterprise computation.
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
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
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
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/
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
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
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/
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
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