Quality remains the biggest barrier to production. Making sure agent outputs are reliable is still the hardest part. Factors like cost were cited less frequently as blockers than in previous years, with more orgs focused on making agents work well and fast.
ENTERPRISE AI
-
Customer Service and Research Drive Over Half of Agent Use Cases
By
–
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.
-
GPT-5 Autonomously Optimizes Molecular Cloning Laboratory Protocols
By
–
We’re also testing our models on real world lab experience. We worked with Red Queen Bio to test models to optimize protocols in the lab. GPT-5 proposed, ran (via a controlled framework), and iterated on experiments — increasing a standard molecular cloning protocol's
-
AI Accelerates Molecular Cloning Research Efficiency
By
–
Cloning is a fundamental molecular biology tool, and efficiency improvements have applications throughout biotechnology. This offers a glimpse of how AI could work side-by-side with biologists to speed up research. Improving experimental methods will help human researchers move
-
LLMs Need Clean Industrial Data for Effective Agent Reasoning
By
–
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 -
Vector Databases Limitations: Knowledge Graphs for Better AI Reasoning
By
–
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.
-
Optimizing Data Flow to Prevent Operational Bottlenecks
By
–
When exceptions spike & dashboards slow, it’s not your machines — it’s your data flow.
— Lucian Fogoros (@fogoros) 16 décembre 2025
At #HUG2025, Honeywell’s Claudia Chandra & @adlibsoftware’s Chris Huff explain how to spot weak links in information flow before operations stall https://t.co/fpBDa9LeW7
sponsored #adlib_iiot pic.twitter.com/I3H28fvYYGWhen exceptions spike & dashboards slow, it’s not your machines — it’s your data flow. At #HUG2025, Honeywell’s Claudia Chandra & @adlibsoftware
’s Chris Huff explain how to spot weak links in information flow before operations stall https://
buff.ly/j6Mpbhe sponsored #adlib_iiot -
Databricks Raises $4B, Valued at $134 Billion
By
–
Databricks is raising over $4 billion in Series L funding, valuing the data and AI company at $134 billion. Databricks CEO @alighodsi attributed the company’s revenue run-rate growth, which is up 55% year-over-year, to the idea that businesses are building data intelligent
-
Executives Cash In on AI ROI in 2026
By
–
It's almost 2026, and execs are ready to cash in AI ROI. SAS' Manisha Khanna fills in Fortune.
-
Wayve AI Brings Advanced Driver Assistance to Nissan Vehicles
By
–
Nice to work with some former colleagues on this @CNBC interview with @wayve_ai CEO @alexgkendall
! During the chat, Alex explained why @NissanGlobal chose Wayve's AI-driven approach to bring advanced driver assistance to its vehicles