Interesting connection between addressing fears and accessing data quality. Do you find that security concerns or job security fears create bigger barriers to getting the data needed for ROI demonstrations?
ENTERPRISE AI
-
Building AI Trust: Security, Jobs, and Enterprise ROI Strategy
By
–
Building trust is essential for a successful AI deployment. Sundeep Ahluwalia, CPO at TDK SensEI, explains that by addressing security and job security fears, companies can finally access the data needed to show real value and clear ROI. Partner content with TDK SensEI. #tdk_iiot pic.twitter.com/Dqqliv8zTU
— Lucian Fogoros (@fogoros) 18 avril 2026Building trust is essential for a successful AI deployment. Sundeep Ahluwalia, CPO at TDK SensEI, explains that by addressing security and job security fears, companies can finally access the data needed to show real value and clear ROI. Partner content with TDK SensEI. #tdk_iiot
-
Sensor Origin Impact on IoT Procurement Strategies in 2026
By
–
Will sensor origin still matter to your procurement team in two years? @IIoT_World @CRudinschi @agentic_factory @paul_wertz @ThyGat @kai_at_ProSyst
-
Procurement Teams Evaluate AI Solutions Amid Market Uncertainty
By
–
Dr. Filipe is measured about the forecast: 'It's difficult to predict the future. Let's see. It could change.' But procurement teams are evaluating now.
-
AI Potato Counting on Assembly Lines with Minimal Training
By
–
#AI on the Assembly Line: Instant Potato Counting with Minimal Training
— Ronald van Loon (@Ronald_vanLoon) 18 avril 2026
by @IlirAliu_
#ArtificialIntelligence #MachineLearning #ML #MI pic.twitter.com/Z0HPxgGqY6#AI on the Assembly Line: Instant Potato Counting with Minimal Training
by @IlirAliu_ #ArtificialIntelligence #MachineLearning #ML #MI -
Reluctant Commercial AI Adoption and Market Pressures
By
–
He's not interested in commercial AI. He's just been dragged into it.
-
Infrastructure foundations critical before advancing energy AI models
By
–
The models will follow, but only if the ground they stand on is solid. Infrastructure problems come before model problems in energy AI.
-
Prefill-as-Service Enables Cross-Datacenter LLM Serving
By
–
new paper from Kimi! "Prefill-as-a-Service makes long-context LLM serving cross-datacenter" Main idea: smaller KV Cache turns prefill into a scalable remote service. Prefill is compute-bound, decode is memory-bandwidth-bound, but KV cache transfer keeps them trapped in the
-
Data Foundation and Orchestration: Keys to Real AI Progress
By
–
Organizations making real progress started with the foundation: normalized data, semantic context, edge compute, and orchestration to manage it all over time.