The output cannot be a dashboard only data scientists use. Value must integrate directly into the OT team's daily workflow, consumable on their terms, in their environment.
DATA
-
Joint IT-OT Ownership Transforms Industrial Operations Risk Management
By
–
Stop asking for buy-in. Start sharing ownership.
— Lucian Fogoros (@fogoros) 1 avril 2026
The OT Veto exists because you're asking plant teams to endorse risks without changing failure consequences. Real IT-OT alignment means joint ownership of outcomes. Partner content with @InfluxDB. #influxdata_iiot #InfluxDB pic.twitter.com/AiPGguigptStop asking for buy-in. Start sharing ownership.
The OT Veto exists because you're asking plant teams to endorse risks without changing failure consequences. Real IT-OT alignment means joint ownership of outcomes. Partner content with @InfluxDB
. #influxdata_iiot #InfluxDB -

OpenAI’s Internal Data Agent Revealed
By
–
Inside OpenAI's in-house data agent bit.ly/4bqOLLU #AI #MachineLearning #DeepLearning #LLMs #DataScience [Translated from EN to English]
→ View original post on X — @miketamir, 2026-04-01 16:06 UTC
-
Accidental training data leak raises transparency questions
By
–
Accidentally leaking your own pretraining data is a bit alarming TBH. On the other hand, more transparency about training data can only be a good thing for the community.
-

New scalable method for evaluating 15 LLM AI models published
By
–
The current science of evaluating AI models, such as primarily relying on benchmarks, is far from optimal. @Nature today a new scalable way used to assess 15 LLMs with absolute demand scales, enhancing predictor power and expandability nature.com/articles/s41586-0…
→ View original post on X — @erictopol, 2026-04-01 15:13 UTC
-

Beginner Analytics Projects with Databricks Free Edition
By
–
Three beginner-friendly analytics projects you can finish in an afternoon with Databricks Free Edition • Analyze a simulated environment using AI/BI Dashboards and AI_Query()
• Explore sample trends and generate predictions with AI_Forecast()
• Load open data with Python and -
Deep Generative Model for Cell ATACseq and RNAseq Profiling
By
–
A Deep Generative Model for Profiling of cell ATACseq and RNAseq. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Gen-RNASeq -

Alteryx Appoints Sabya Sen as VP for IMEA and APAC Regions
By
–
Alteryx announces Sabya Sen as VP, IMEA & APAC. He will lead growth across India, Middle East, Africa & Asia-Pacific — key AI/data regions — driving customer outcomes and adoption of Alteryx One. Previously VP, UKI & Emerging Markets Europe. https://
ow.ly/JUBA50YBvV9 -
Contra Labs Measures Creative AI Quality With Human Evaluation
By
–
🆕 New AI Tool: Contra Labs
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 1 avril 2026
Most AI benchmarks measure speed & accuracy.
Contra Labs measures something harder – taste.
It's a human data & evaluation lab built to make creative AI actually good:
🔸Creative Arena – AI models battle head-to-head, judged by real creative… pic.twitter.com/hfEeLqd5MzNew AI Tool: Contra Labs Most AI benchmarks measure speed & accuracy. Contra Labs measures something harder – taste. It's a human data & evaluation lab built to make creative AI actually good:
Creative Arena – AI models battle head-to-head, judged by real creative -

Computer Age Statistical Inference: Algorithms, Evidence, Data Science Book
By
–
Computer Age Statistical Inference — Algorithms, Evidence, and Data Science: https://
amzn.to/47zAhar