5.9 KiB
5.9 KiB
Blogs
2022
- "AI at Scale" in Mastercard with BigDL
- BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster
- Project Bose: A smart way to enable sustainable 5G networks in Capgemini
- Intelligent Power Prediction Solution in Goldwind
- 5G Core Network Power Saving using BigDL Chronos Framework in China Unicom (in Chinese)
2021
- From Ray to Chronos: Build end-to-end AI use cases using BigDL on top of Ray
- Scalable AutoXGBoost Using Analytics Zoo AutoML
- Intelligent 5G L2 MAC Scheduler: Powered by Capgemini NetAnticipate 5G on Intel Architecture
- Better Together: Privacy-Preserving Machine Learning Powered by Intel SGX and Intel DL Boost
2020
- SK Telecom, Intel Build AI Pipeline to Improve Network Quality
- Build End-to-End AI Pipelines Using Ray and Apache Spark
- Tencent Cloud Leverages Analytics Zoo to Improve Performance of TI-ONE ML Platform
- Context-Aware Fast Food Recommendation at Burger King with RayOnSpark
- Seamlessly Scaling AI for Distributed Big Data
- Distributed Inference Made Easy with Analytics Zoo Cluster Serving
2019
- BigDL: A Distributed Deep-Learning Framework for Big Data
- Scalable AutoML for Time-Series Prediction Using Ray and BigDL & Analytics Zoo
- RayOnSpark: Run Emerging AI Applications on Big Data Clusters with Ray and BigDL & Analytics Zoo
- Real-time Product Recommendations for Office Depot Using Apache Spark and Analytics Zoo on AWS
- Machine Learning Pipelines for High Energy Physics Using Apache Spark with BigDL and Analytics Zoo
- Deep Learning with Analytic Zoo Optimizes Mastercard Recommender AI Service
- Using Intel Analytics Zoo to Inject AI into Customer Service Platform (Part II)
- Talroo Uses Analytics Zoo and AWS to Leverage Deep Learning for Job Recommendations
2018
- Analytics Zoo: Unified Analytics + AI Platform for Distributed Tensorflow, and BigDL on Apache Spark
- Industrial Inspection Platform in Midea and KUKA: Using Distributed TensorFlow on Analytics Zoo
- Use Analytics Zoo to Inject AI Into Customer Service Platforms on Microsoft Azure
- LSTM-Based Time Series Anomaly Detection Using Analytics Zoo for Apache Spark and BigDL at Baosight
2017