Blogs
---

**2022**
- ["AI at Scale" in Mastercard with BigDL](https://www.intel.com/content/www/us/en/developer/articles/technical/ai-at-scale-in-mastercard-with-bigdl.html)
- [BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster](https://arxiv.org/abs/2204.01715)
- [Project Bose: A smart way to enable sustainable 5G networks in Capgemini](https://www.capgemini.com/insights/expert-perspectives/project-bose-a-smart-way-to-enable-sustainable-5g-networks/)
- [Intelligent Power Prediction Solution in Goldwind](https://www.intel.com/content/www/us/en/customer-spotlight/stories/goldwind-customer-story.html)
- [5G Core Network Power Saving using BigDL Chronos Framework in China Unicom](https://www.intel.cn/content/www/cn/zh/customer-spotlight/cases/china-unicom-bigdl-chronos-framework-5gc.html) (in Chinese)

**2021**
- [From Ray to Chronos: Build end-to-end AI use cases using BigDL on top of Ray](https://www.anyscale.com/blog/from-ray-to-chronos-build-end-to-end-ai-use-cases-using-bigdl-on-top-of-ray)
- [Scalable AutoXGBoost Using Analytics Zoo AutoML](https://medium.com/intel-analytics-software/scalable-autoxgboost-using-analytics-zoo-automl-30d576cb138a)
- [Intelligent 5G L2 MAC Scheduler: Powered by Capgemini NetAnticipate 5G on Intel Architecture](https://networkbuilders.intel.com/solutionslibrary/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](https://www.intel.com/content/www/us/en/artificial-intelligence/posts/alibaba-privacy-preserving-machine-learning.html)

**2020**
- [SK Telecom, Intel Build AI Pipeline to Improve Network Quality](https://networkbuilders.intel.com/solutionslibrary/sk-telecom-intel-build-ai-pipeline-to-improve-network-quality)
- [Build End-to-End AI Pipelines Using Ray and Apache Spark](https://medium.com/distributed-computing-with-ray/build-end-to-end-ai-pipeline-using-ray-and-apache-spark-23f70f36115e)
- [Tencent Cloud Leverages Analytics Zoo to Improve Performance of TI-ONE ML Platform](https://www.intel.com/content/www/us/en/developer/articles/technical/tencent-cloud-leverages-analytics-zoo-to-improve-performance-of-ti-one-ml-platform.html)
- [Context-Aware Fast Food Recommendation at Burger King with RayOnSpark](https://medium.com/riselab/context-aware-fast-food-recommendation-at-burger-king-with-rayonspark-2e7a6009dd2d)
- [Seamlessly Scaling AI for Distributed Big Data](https://medium.com/swlh/seamlessly-scaling-ai-for-distributed-big-data-5b589ead2434)
- [Distributed Inference Made Easy with Analytics Zoo Cluster Serving](https://www.intel.com/content/www/us/en/developer/articles/technical/distributed-inference-made-easy-with-analytics-zoo-cluster-serving.html)

**2019**
- [BigDL: A Distributed Deep-Learning Framework for Big Data](https://arxiv.org/abs/1804.05839)
- [Scalable AutoML for Time-Series Prediction Using Ray and BigDL & Analytics Zoo](https://medium.com/riselab/scalable-automl-for-time-series-prediction-using-ray-and-analytics-zoo-b79a6fd08139)
- [RayOnSpark: Run Emerging AI Applications on Big Data Clusters with Ray and BigDL & Analytics Zoo](https://medium.com/riselab/rayonspark-running-emerging-ai-applications-on-big-data-clusters-with-ray-and-analytics-zoo-923e0136ed6a)
- [Real-time Product Recommendations for Office Depot Using Apache Spark and Analytics Zoo on AWS](https://www.intel.com/content/www/us/en/developer/articles/technical/real-time-product-recommendations-for-office-depot-using-apache-spark-and-analytics-zoo-on.html)
- [Machine Learning Pipelines for High Energy Physics Using Apache Spark with BigDL and Analytics Zoo](https://db-blog.web.cern.ch/blog/luca-canali/machine-learning-pipelines-high-energy-physics-using-apache-spark-bigdl)
- [Deep Learning with Analytic Zoo Optimizes Mastercard Recommender AI Service](https://www.intel.com/content/www/us/en/developer/articles/technical/deep-learning-with-analytic-zoo-optimizes-mastercard-recommender-ai-service.html)
- [Using Intel Analytics Zoo to Inject AI into Customer Service Platform (Part II)](https://www.infoq.com/articles/analytics-zoo-qa-module/)
- [Talroo Uses Analytics Zoo and AWS to Leverage Deep Learning for Job Recommendations](https://www.intel.com/content/www/us/en/developer/articles/technical/talroo-uses-analytics-zoo-and-aws-to-leverage-deep-learning-for-job-recommendations.html)

**2018**
- [Analytics Zoo: Unified Analytics + AI Platform for Distributed Tensorflow, and BigDL on Apache Spark](https://www.infoq.com/articles/analytics-zoo/)
- [Industrial Inspection Platform in Midea and KUKA: Using Distributed TensorFlow on Analytics Zoo](https://www.intel.com/content/www/us/en/developer/articles/technical/industrial-inspection-platform-in-midea-and-kuka-using-distributed-tensorflow-on-analytics.html)
- [Use Analytics Zoo to Inject AI Into Customer Service Platforms on Microsoft Azure](https://www.intel.com/content/www/us/en/developer/articles/technical/use-analytics-zoo-to-inject-ai-into-customer-service-platforms-on-microsoft-azure-part-1.html)
- [LSTM-Based Time Series Anomaly Detection Using Analytics Zoo for Apache Spark and BigDL at Baosight](https://www.intel.com/content/www/us/en/developer/articles/technical/lstm-based-time-series-anomaly-detection-using-analytics-zoo-for-apache-spark-and-bigdl.html)

**2017**
- [Accelerating Deep-Learning Training with BigDL and Drizzle on Apache Spark](https://rise.cs.berkeley.edu/blog/accelerating-deep-learning-training-with-bigdl-and-drizzle-on-apache-spark)
- [Using BigDL to Build Image Similarity-Based House Recommendations](https://www.intel.com/content/www/us/en/developer/articles/technical/using-bigdl-to-build-image-similarity-based-house-recommendations.html)
- [Building Large-Scale Image Feature Extraction with BigDL at JD.com](https://www.intel.com/content/www/us/en/developer/articles/technical/building-large-scale-image-feature-extraction-with-bigdl-at-jdcom.html)