Power of big data and data science in service of excellent customer experience
summary
Built a Big Data pipeline called IPI solution using Hadoop/HBase/Hive/Kudu, MapReduce and Spark ingesting up to 40–50 TB to monitor HFC and Wi‑Fi devices. Machine learning (neural nets, XGBoost, random forests) powers predictive maintenance and channel‑allocation suggestions for Wi‑Fi. System predicts degradations two hours ahead (>95% accuracy, 24h ~70%), cuts customer complaints by 10% and repeat complaints by 40%, and surfaces near‑real‑time root causes so operators act before users notice.
AI-written summary · about
chapters (5)
- 0:00Start
- 2:23Customer Experience
- 5:38The Problem with the Telco Industries
- 8:54What To Do with the Data
- 14:18The Monitoring of the Wi-Fi Network
related talks
30mHitachi applying AI in Industry 4.0 digital transformation projects
37mBig Data Analytics, Machine Learning, Real Time Processing
47mSolving Real & Big (Data) Problems Using Hadoop
20mAutomating Data Science for the IOT
11mData Science and Smart Systems: Creating the Digital Brain
38mElectrifying Big Issues Through Analytics
29mIntegrating AI-Driven Analytics for Enhanced Enterprise Decision-Making
11mTransforming Problem-Solving with Data-Driven Insights