# Powered By
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* __Alibaba__
  <br>• [Deploy Analytics Zoo in Aliyun EMR](https://partners-intl.aliyun.com/help/doc-detail/93155.htm)
  <br>• [Better Together: Privacy-Preserving Machine Learning](https://www.intel.com/content/www/us/en/artificial-intelligence/posts/alibaba-privacy-preserving-machine-learning.html)
* __AsiaInfo__
  <br>• [Network AI Applications using BigDL and oneAPI toolkit on Intel Xeon](https://www.intel.cn/content/www/cn/zh/customer-spotlight/cases/asiainfo-taps-intelligent-network-applications.html)
* __Baosight__
  <br>• [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)
* __BBVA__
  <br>• [A Graph Convolutional Network Implementation](https://emartinezs44.medium.com/graph-convolutions-networks-ad8295b3ce57)
* __Burger King__
  <br>• [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)
  <br>• [How Intel and Burger King built an order recommendation system that preserves customer privacy](https://venturebeat.com/2021/04/06/how-intel-and-burger-king-built-an-order-recommendation-system-that-preserves-customer-privacy/)
  <br>• [Burger King: Context-Aware Recommendations (video)](https://www.intel.com/content/www/us/en/customer-spotlight/stories/burger-king-ai-customer-story.html)
* __Capgemini__
  <br>• [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)
* __China Unicom__
  <br>• [Cloud Data Center Power Saving using BigDL Chronos in China Unicom](https://www.intel.cn/content/www/cn/zh/customer-spotlight/cases/china-unicom-bigdl-chronos-framework-5gc.html)
* __CERN__
 <br>• [Deep Learning Pipelines for High Energy Physics using Apache Spark with Distributed Keras on Analytics Zoo](https://databricks.com/session_eu19/deep-learning-pipelines-for-high-energy-physics-using-apache-spark-with-distributed-keras-on-analytics-zoo)
 <br>• [Topology classification at CERN's Large Hadron Collider using Analytics Zoo](https://db-blog.web.cern.ch/blog/luca-canali/machine-learning-pipelines-high-energy-physics-using-apache-spark-bigdl)
 <br>• [Deep Learning on Apache Spark at CERN's Large Hadron Collider with Intel Technologies](https://databricks.com/session/deep-learning-on-apache-spark-at-cerns-large-hadron-collider-with-intel-technologies)
* __China Telecom__
 <br>• [Face Recognition Application and Practice Based on Intel Analytics Zoo: Part 1](https://mp.weixin.qq.com/s/FEiXoTDi-yy04PJ2Mlfl4A) (in Chinese)
 <br>• [Face Recognition Application and Practice Based on Intel Analytics Zoo: Part 2](https://mp.weixin.qq.com/s/VIyWRORTAVAAsC4v6Fi0xw) (in Chinese)
* __Cray__ 
<br>• [A deep learning approach for precipitation nowcasting with RNN using Analytics Zoo in Cray](https://conferences.oreilly.com/strata/strata-ny-2018/public/schedule/detail/69413)
* __Dell EMC__
<br>• [AI-assisted Radiology Using Distributed Deep
Learning on Apache Spark and Analytics Zoo](https://www.dellemc.com/resources/en-us/asset/white-papers/solutions/h17686_hornet_wp.pdf)
<br>• [Using Deep Learning on Apache Spark to Diagnose Thoracic Pathology from Chest X-rays](https://databricks.com/session/using-deep-learning-on-apache-spark-to-diagnose-thoracic-pathology-from-chest-x-rays)
* __GoldWind__
<br>• [Goldwind SE: Intelligent Power Prediction Solution](https://www.intel.com/content/www/us/en/customer-spotlight/stories/goldwind-customer-story.html)
<br>• [Intel big data analysis + AI platform helps GoldWind to build a new energy intelligent power prediction solution](https://www.intel.cn/content/www/cn/zh/analytics/artificial-intelligence/create-power-forecasting-solutions.html)
* __Inspur__
<br>• [Inspur E2E Smart Transportation CV application](https://jason-dai.github.io/cvpr2021/slides/Inspur%20E2E%20Smart%20Transportation%20CV%20application%20-CVPR21.pdf)
<br>• [Inspur End-to-End Smart Computing Solution with Intel Analytics Zoo](https://dpgresources.intel.com/asset-library/inspur-end-to-end-smart-computing-solution-with-intel-analytics-zoo/)
* __JD__
<br>• [Object Detection and Image Feature Extraction at JD.com](https://software.intel.com/en-us/articles/building-large-scale-image-feature-extraction-with-bigdl-at-jdcom)
* __MasterCard__
<br>• ["AI at Scale" in Mastercard with BigDL](https://www.intel.com/content/www/us/en/developer/articles/technical/ai-at-scale-in-mastercard-with-bigdl0.html)
<br>• [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)
* __Microsoft Azure__
<br>• [Use Analytics Zoo to Inject AI Into Customer Service Platforms on Microsoft Azure: Part 1](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)
<br>• [Use Analytics Zoo to Inject AI Into Customer Service Platforms on Microsoft Azure: Part 2](https://www.infoq.com/articles/analytics-zoo-qa-module/?from=timeline&isappinstalled=0)
* __Midea__
<br>• [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) 
<br>• [Ability to add "eyes" and "brains" to smart manufacturing](https://www.intel.cn/content/www/cn/zh/analytics/artificial-intelligence/midea-case-study.html) (in Chinese)
* __MLSListings__
<br>• [Image Similarity-Based House Recommendations and Search](https://www.intel.com/content/www/us/en/developer/articles/technical/using-bigdl-to-build-image-similarity-based-house-recommendations.html)
* __NeuSoft/BMW__
<br>• [Neusoft RealSight APM partners with Intel to create an application performance management platform with active defense capabilities](https://platform.neusoft.com/2020/01/17/xw-intel.html) (in Chinese)
* __NeuSoft/Mazda__
<br>• [JD, Neusoft and Intel Jointly Building Intelligent and Connected Vehicle Cloud for HaiMa(former Hainan Mazda)](https://www.neusoft.com/Products/Platforms/2472/4735110231.html)
<br>• [JD, Neusoft and Intel Jointly Building Intelligent and Connected Vehicle Cloud for Hainan-Mazda](https://platform.neusoft.com/2020/06/11/jjfa-haimaqiche.html) (in Chinese)
* __Office Depot__
<br>• [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)
<br>• [Office Depot product recommender using Analytics Zoo on AWS](https://conferences.oreilly.com/strata/strata-ca/public/schedule/detail/73079)
* __SK Telecom__
<br>• [Reference Architecture for Confidential Computing on SKT 5G MEC](https://networkbuilders.intel.com/solutionslibrary/reference-architecture-for-confidential-computing-on-skt-5g-mec)
<br>• [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)
<br>• [Vectorized Deep Learning Acceleration from Preprocessing to Inference and Training on Apache Spark in SK Telecom](https://databricks.com/session_na20/vectorized-deep-learning-acceleration-from-preprocessing-to-inference-and-training-on-apache-spark-in-sk-telecom)
<br>• [Apache Spark AI Use Case in Telco: Network Quality Analysis and Prediction with Geospatial Visualization](https://databricks.com/session_eu19/apache-spark-ai-use-case-in-telco-network-quality-analysis-and-prediction-with-geospatial-visualization)
 * __Talroo__
<br>• [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)
<br>• [Job recommendations leveraging deep learning using Analytics Zoo on Apache Spark and BigDL](https://conferences.oreilly.com/strata/strata-ny-2018/public/schedule/detail/69113)
* __Telefonica__
 <br>• [Running Analytics Zoo jobs on Telefónica Open Cloud’s MRS Service](https://medium.com/@fernando.delaiglesia/running-analytics-zoo-jobs-on-telef%C3%B3nica-open-clouds-mrs-service-2e64bc823c50)
* __Tencent__
<br>• [Analytics Zoo helps Tencent Cloud improve the performance of its intelligent titanium machine learning platform](https://www.intel.cn/content/www/cn/zh/service-providers/analytics-zoo-helps-tencent-cloud-improve-ti-ml-platform-performance.html)
<br>• [Tencent Cloud Leverages Analytics Zoo to Improve Performance of TI-ONE ML Platform](https://software.intel.com/content/www/us/en/develop/articles/tencent-cloud-leverages-analytics-zoo-to-improve-performance-of-ti-one-ml-platform.html)
<br>• [Enhance Tencent's TUSI Identity Practice with Intel Analytics Zoo](https://mp.weixin.qq.com/s?__biz=MzAwNzc5NzM5Mw==&mid=2651030944&idx=1&sn=d6e06c6e14a7355971953a501689b232&chksm=808f8a5eb7f80348fc8e88c4c9e415341bf43ef6bdf3fd4f3001da89e2c9ba7fa2ed5deeb09a&mpshare=1&scene=1&srcid=0412WxM3eWdsLLoO2TYJGWbS&pass_ticket=E6l%2FfOZNKjhr05lsU7inAVCi7mAy5LFEehvEJOS2ZGdHg6%2FH%2BeBQisHA9sfXDOoy#rd) (in Chinese)
* __UC Berkeley RISELab__
<br>• [RayOnSpark: Running Emerging AI Applications on Big Data Clusters with Ray and Analytics Zoo](https://medium.com/riselab/rayonspark-running-emerging-ai-applications-on-big-data-clusters-with-ray-and-analytics-zoo-923e0136ed6a)
<br>• [Scalable AutoML for Time Series Prediction Using Ray and Analytics Zoo](https://medium.com/riselab/scalable-automl-for-time-series-prediction-using-ray-and-analytics-zoo-b79a6fd08139)
* __UnionPay__
<br>• [Technical Verification of SGX and BigDL Based Privacy Computing for Multi Source Financial Big Data](https://www.intel.cn/content/www/cn/zh/now/data-centric/sgx-bigdl-financial-big-data.html) (in Chinese)
* __World Bank__
<br>• [Using Crowdsourced Images to Create Image Recognition Models with Analytics Zoo using BigDL](https://databricks.com/session/using-crowdsourced-images-to-create-image-recognition-models-with-bigdl)
* __Yunda__
<br>• [Intelligent transformation brings "quality change" to the express delivery industry](https://www.intel.cn/content/www/cn/zh/analytics/artificial-intelligence/yunda-brings-quality-change-to-the-express-delivery-industry.html) (in Chinese)
