Historians weren’t built for high-volume, high-velocity IIoT data.
#InfluxDB is.
See how at AWS re:Invent 2025, Dec 1–5 — Booth 151.
Stop by and explore your options. https://
buff.ly/KQHRw8b #sponsored #influxdata_iiot #industry40 @InfluxDB @IIoT_World @lucianilie15
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InfluxDB Handles High-Volume IIoT Data at AWS re:Invent
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Top Machine Learning and Deep Learning Researchers to Follow
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Top #MachineLearning, #DeepLearning Researchers to Follow OutSide and On Twitter! by @MirrorReview1
! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless -
GPT Generative AI and LLM Technologies Conference Overview
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GPT, Generative AI, and LLM! @AverConferences #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysOfCode https://
geni.us/Aver-Confer -
90+ Essential Machine Learning Books for Data Science
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90+ ML Books in #MachineLearning. #BigData #Analytics #DataScience #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Mathematics #Programming #Coding #100DaysofCode https://
geni.us/ML-Books-Machi
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In-Memory Computing Advances Machine Learning Performance
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In Memory Computing for Machine Learning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode
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Data Leakage in Recommendation Systems from User Interaction Patterns
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Good point. Btw, you also see a similar leakage trap in recommendation datasets. Most recsys data is built around users interacting with items over time, which means the same user appears dozens or hundreds of times. If you do a plain random split, you accidentally leak the
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Correcting LLM-as-a-Judge Bias Statistical Calibration Method
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How to Properly do LLM-as-a-Judge Raw LLM-as-a-Judge scores are inherently biased due to how LLMs would often make mistakes This paper proposes a simple statistical method to correct the scores and calculate valid confidence intervals via a human-verified calibration set
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Build Full-Stack AI Apps in Databricks Without Data Duplication
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Learn to build a full-stack AI application directly inside your Databricks environment without data duplication or external tools. This tutorial shows how to create a knowledge-testing app using Lakebase, Databricks Apps, and AI-assisted development in your IDE, all within a
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InfluxDB Modernizes Industrial Data Visibility Without Rip-Replace
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Industrial data never sleeps — and neither should your visibility.
— Lucian Fogoros (@fogoros) 29 novembre 2025
See how teams are modernizing without rip-and-replace using #InfluxDB.
See how it works — hands-on. Dec 1–5 | Las Vegas | Booth 151
→ Come experience it live. https://t.co/cDmWLi1h8i #sponsored #influxdata_iiot pic.twitter.com/Gh5lijLxGTIndustrial data never sleeps — and neither should your visibility.
See how teams are modernizing without rip-and-replace using #InfluxDB. See how it works — hands-on. Dec 1–5 | Las Vegas | Booth 151
→ Come experience it live. https://
buff.ly/SXpGv1Z #sponsored #influxdata_iiot -
Factory Data Analytics Prevents Downtime Through Time-Series Measurement
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You can’t predict what you don’t measure.
Most factories still downsample or discard their time-series data — losing patterns that could have prevented downtime.
Here’s how to fix it → https://
buff.ly/T4HsB8i #sponsored #influxdata_iiot #DataAnalytics #IIoT @IIoT_World