If you ever wanted to start an EASY business with AI: Just find customers with a lot of paperwork (HOAs, municipalities, law firms) and use @doctlyai to convert their PDFs into useable JSON data so they or their customers can query it with a chatbot, and charge $500-5k/mo.
DATA
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Databricks CEO discusses AI future and Series L funding round
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Databricks CEO @alighodsi joined CNBC’s @jonfortt to discuss the future of AI, how organizations are using data-intelligent applications to automate work, and how our Series L funding round will accelerate our development of product innovation. “We’re putting [our investments]
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AI Predictive Analytics Reduces Pediatric Hospital No-Show Rates
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SAS + Pinnacle Solutions = improved pediatric care.🤝
— SAS Software (@SASsoftware) 16 décembre 2025
Children’s Specialized Hospital reduced missed appointments using Pinnacle’s Predictive Health Solutions Patient No-Show Predictor, powered by SAS Viya and hosted on AWS. https://t.co/litERGcYIE pic.twitter.com/tWsfmiH9ObSAS + Pinnacle Solutions = improved pediatric care. Children’s Specialized Hospital reduced missed appointments using Pinnacle’s Predictive Health Solutions Patient No-Show Predictor, powered by SAS Viya and hosted on AWS. http://
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Industrial AI Evolution: Conversational Analysts and Automated Knowledge Systems
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2028:
• Operators = conversational analysts
• Logs = generated automatically
• Knowledge = unified and searchable
• Alerts = come with explanations
This is the direction major industrial vendors are already building toward. https://
buff.ly/JlWa24i #sponsored #adlib_iiot #AI -
Organizations Still Early in Adoption of Evaluation Methods for LLMs
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Meanwhile, orgs are earlier in their evals usage, with around half of respondents running offline evals on test sets and just over one-third running online evals on production data.
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Customer Service and Research Drive Over Half of Agent Use Cases
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Customer service and research & data analysis account for over half of agent use cases. Agents are most valuable today where work is repetitive, knowledge-heavy, or customer-facing.
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AI reveals stark urban inequality in disaster recovery patterns
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Stanford researchers used AI to analyze Google Street View images across 16 states, revealing a troubling pattern: 37% of damaged buildings in poor areas became empty lots for years, while 82% in wealthy areas were rebuilt bigger and better.
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LLMs Need Clean Industrial Data for Effective Agent Reasoning
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LLMs have grammar. Industrial data doesn’t.
That’s why your agents can’t reason.
Context is the difference between “cool pilot” and “enterprise value.” https://
buff.ly/mmPXQr4 #sponsored #cognite_iiot #Industry40 #IndustrialAI -
Core Memory Actions for AI Agents: Retain, Recall, Reflect
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The magic lies in 3 core actions: Retain: Store memories naturally (e.g., "User prefers functional programming"). Recall: Query with context and time awareness. Reflect: Get a synthesised perspective, not just a raw data dump.
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Vector Databases Limitations: Knowledge Graphs for Better AI Reasoning
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Why isn't a vector DB enough? If you tell your AI "Alice works at Google" and "Google is in Mountain View," a standard retrieval might miss the connection. Hindsight links these facts, so it can answer "Where does Alice work?" even if you never explicitly stated the location.