WOW I didn't see this one coming. Enterprise AI teams are spending months building internal infrastructure that Santander just open-sourced FOR FREE The @Santander_es AI Lab just dropped 11 repos under Apache-2.0. And you don't have to be a bank to use these. They released
ENTERPRISE AI
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Rocket Close Optimizes Title Operations Using Agentic AI
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How Rocket Close Optimized Title Operations with Agentic AI! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming
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LinkedIn’s evolution into AI information source changes content value
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AI ARR triples to $500M, Firefly reaches $300M
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Their AI-focused ARR tripled year over year to surpass $500 million. Very few enterprise software companies report this level of direct, paid AI adoption. The engine of this breakthrough is Firefly, which now reaches $300 million.
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Enterprise AI shifts from chat to action with Action Fabric
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Enterprise AI is moving from chat to action. ServiceNow’s new Action Fabric matters because it gives AI agents governed ways to execute workflows, not just read data. That is the real test for 2026:
Can your agents act with permissions, auditability, and policy guardrails? -
Why industrial AI fails in the field, not in the model
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Today, we publish an exclusive interview with Geir Engdahl, co-founder and CTO of AI at @CogniteData. A very relevant conversation about why industrial AI generally fails not at the model level, but in the field of
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The gap between pilot and scaling blocks AI strategies
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The gap between "we launched a pilot" and "we know how to scale this" is where most corporate AI strategies are quietly blocked.
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AI failures stem from infrastructure, not models
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Traditional manufacturing software vs AI-generated: bespoke in a week
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Traditional manufacturing software: buy standard package, customize for months, vendor teams build features. AI-generated software: bespoke from day one, one week to production, any operator builds through prompts. Partner content with Cybus. #cybus_iiot pic.twitter.com/zkVkJWYcAZ
— Lucian Fogoros (@fogoros) 20 juin 2026Traditional manufacturing software: buy standard package, customize for months, vendor teams build features. AI-generated software: bespoke from day one, one week to production, any operator builds through prompts. Partner content with Cybus. #cybus_iiot
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Meta limits internal use of AI amid exploding token costs
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No more tokenmaxxing at Meta Meta is preparing to limit internal use of AI after employee token consumption surged so much that the company now expects internal AI costs alone to reach billions of dollars in