# Presentations
---

**Tutorial:**
- Seamlessly Scaling out Big Data AI on Ray and Apache Spark, [CVPR 2021](https://cvpr2021.thecvf.com/program) [tutorial](https://jason-dai.github.io/cvpr2021/), June 2021 ([slides](https://jason-dai.github.io/cvpr2021/slides/End-to-End%20Big%20Data%20AI%20Pipeline%20using%20Analytics%20Zoo%20-%20CVPR21.pdf))

- Automated Machine Learning Workflow for Distributed Big Data Using Analytics Zoo,  [CVPR 2020](https://cvpr2020.thecvf.com/program/tutorials) [tutorial](https://jason-dai.github.io/cvpr2020/), June 2020 ([slides](https://jason-dai.github.io/cvpr2020/slides/AIonBigData_cvpr20.pdf))

- Building Deep Learning Applications for Big Data, [AAAI 2019]( https://aaai.org/Conferences/AAAI-19/aaai19tutorials/#sp2) [tutorial](https://jason-dai.github.io/aaai2019/), January 2019 ([slides](https://jason-dai.github.io/aaai2019/slides/AI%20on%20Big%20Data%20(Jason%20Dai).pdf))

- Analytics Zoo: Distributed TensorFlow and Keras on Apache Spark, [AI conference](https://conferences.oreilly.com/artificial-intelligence/ai-ca-2019/public/schedule/detail/77069), Sep 2019, San Jose ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/Tutorial%20Analytics%20ZOO.pdf))

- Building Deep Learning Applications on Big Data Platforms, [CVPR 2018](https://cvpr2018.thecvf.com/) [tutorial](https://jason-dai.github.io/cvpr2018/), June 2018 ([slides](https://jason-dai.github.io/cvpr2018/slides/BigData_DL_Jason-CVPR.pdf))

**Talks:**
- BigDL 2.0: Seamlessly scaling end-to-end AI pipelines, [Ray Summit 2022](https://www.anyscale.com/ray-summit-2022/agenda/sessions/174), August 2022 ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/BigDL-2.0-Seamlessly-scaling-end-to-end-AI-pipelines.pdf))

- Exploration on Confidential Computing for Big Data & AI, [oneAPI DevSummit for AI 2022](https://www.oneapi.io/event-sessions/exploration-on-confidential-computing-for-big-data-ai-ai-2022/), July 2022 ([slides](https://simplecore.intel.com/oneapi-io/wp-content/uploads/sites/98/Qiyuan-Gong-and-Chunyang-Hui-Exploration-on-Confidential-Computing-for-Big-Data-AI.pdf))

- Privacy Preserving Machine Learning and Big Data Analytics Using Apache Spark, [Data + AI Summit 2022](https://www.databricks.com/dataaisummit/session/privacy-preserving-machine-learning-and-big-data-analytics-using-apache-spark), June 2022 ([slides](https://microsites.databricks.com/sites/default/files/2022-07/Privacy-Preserving-Machine-Learning-and-Big-Data-Analytics-Using-Apache-Spark.pdf))

- E2E Smart Transportation CV application in Inspur (using Insight Data-Intelligence platform), [CVPR 2021](https://jason-dai.github.io/cvpr2021/), July 2021 ([slides](https://jason-dai.github.io/cvpr2021/slides/Inspur%20E2E%20Smart%20Transportation%20CV%20application%20-CVPR21.pdf))

- Mobile Order Click-Through Rate (CTR) Recommendation with Ray on Apache Spark at Burger King, [Ray Summit 2021](https://www.anyscale.com/events/2021/06/22/mobile-order-click-through-rate-ctr-recommendation-with-ray-on-apache-spark-at-burger-king), June 2021 ([slides](https://files.speakerdeck.com/presentations/1870110b5adf4bfc8f0c76255a417f09/Kai_Huang_and_Luyang_Wang.pdf))

- Deep Reinforcement Learning Recommenders using RayOnSpark, *Data + AI Summit 2021*, May 2021 ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/210527DeepReinforcementLearningRecommendersUsingRayOnSpark2.pdf))

- Cluster Serving: Deep Learning Model Serving for Big Data, *Data + AI Summit 2021*, May 2021 ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/210526Cluster-Serving.pdf))

- Offer Recommendation System with Apache Spark at Burger King, [Data + AI Summit 2021](https://databricks.com/session_na21/offer-recommendation-system-with-apache-spark-at-burger-king), May 2021 ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/20210526Offer%20Recommendation.pdf))

- Context-aware Fast Food Recommendation with Ray on Apache Spark at Burger King, [Data + AI Summit Europe 2020](https://databricks.com/session_eu20/context-aware-fast-food-recommendation-with-ray-on-apache-spark-at-burger-king), November 2020 ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/1118%20Context-aware%20Fast%20Food%20Recommendation%20with%20Ray%20on%20Apache%20Spark%20at%20Burger%20King.pdf))

- Cluster Serving: Distributed Model Inference using Apache Flink in Analytics Zoo, [Flink Forward 2020](https://www.flink-forward.org/global-2020/conference-program#cluster-serving--distributed-model-inference-using-apache-flink-in-analytics-zoo), October 2020 ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/1020%20Cluster%20Serving%20Distributed%20Model%20Inference%20using%20Apache%20Flink%20in%20Analytics%20Zoo%20.pdf))

- Project Zouwu: Scalable AutoML for Telco Time Series Analysis using Ray and Analytics Zoo, [Ray Summit Connect 2020](https://anyscale.com/blog/videos-and-slides-for-the-fourth-ray-summit-connect-august-12-2020/), August 2020 ([slides](https://anyscale.com/wp-content/uploads/2020/08/Ding-Ding-Connect-slides.pdf))

- Cluster Serving: Distributed Model Inference using Big Data Streaming in Analytics Zoo, [OpML 2020](https://www.usenix.org/conference/opml20/presentation/song), July 2020 ([slides](https://www.usenix.org/sites/default/files/conference/protected-files/opml20_talks_43_slides_song.pdf))

- Scalable AutoML for Time Series Forecasting using Ray, [OpML 2020](https://www.usenix.org/conference/opml20/presentation/huang), July 2020 ([slides](https://www.usenix.org/sites/default/files/conference/protected-files/opml20_talks_84_slides_huang.pdf))

- Scalable AutoML for Time Series Forecasting using Ray, [Spark + AI Summit 2020](https://databricks.com/session_na20/scalable-automl-for-time-series-forecasting-using-ray), June 2020 ([slides](https://www.slideshare.net/databricks/scalable-automl-for-time-series-forecasting-using-ray))

- Running Emerging AI Applications on Big Data Platforms with Ray On Apache Spark, [Spark + AI Summit 2020](https://databricks.com/session_na20/running-emerging-ai-applications-on-big-data-platforms-with-ray-on-apache-spark), June 2020 ([slides](https://www.slideshare.net/databricks/running-emerging-ai-applications-on-big-data-platforms-with-ray-on-apache-spark))

- Vectorized Deep Learning Acceleration from Preprocessing to Inference and Training on Apache Spark in SK Telecom, [Spark + AI Summit 2020](https://databricks.com/session_na20/vectorized-deep-learning-acceleration-from-preprocessing-to-inference-and-training-on-apache-spark-in-sk-telecom), June 2020 ([slides](https://www.slideshare.net/databricks/vectorized-deep-learning-acceleration-from-preprocessing-to-inference-and-training-on-apache-spark-in-sk-telecom?from_action=save))

- Architecture and practice of big data analysis and deep learning model inference using Analytics Zoo on Flink, [Flink Forward Asia 2019](https://developer.aliyun.com/special/ffa2019-conference?spm=a2c6h.13239638.0.0.21f27955PCNMUB#), Nov 2019, Beijing ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/Architecture%20and%20practice%20of%20big%20data%20analysis%20and%20deep%20learning%20model%20inference%20using%20Analytics%20Zoo%20on%20Flink(FFA2019)%20.pdf))

- Data analysis + AI platform technology and case studies, [AICon BJ 2019](https://aicon.infoq.cn/2019/beijing/), Nov 2019, Beijing ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/AICON%20AZ%20Cluster%20Serving%20Beijing%20Qiyuan_v5.pdf))

- Architectural practices for building a unified big data AI application with Analytics-Zoo, [QCon SH 2019](https://qcon.infoq.cn/2019/shanghai/presentation/1921), Oct 2019, Shanghai ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/Architectural%20practices%20for%20building%20a%20unified%20big%20data%20AI%20application%20with%20Analytics-Zoo.pdf))

- Building AI to play the FIFA video game using distributed TensorFlow, [TensorFlow World](https://conferences.oreilly.com/tensorflow/tf-ca/public/schedule/detail/78309), Oct 2019, Santa Clara ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/Building%20AI%20to%20play%20the%20FIFA%20video%20game%20using%20distributed%20TensorFlow.pdf))

- Deep Learning Pipelines for High Energy Physics using Apache Spark with Distributed Keras on Analytics Zoo, [Spark+AI Summit](https://databricks.com/session_eu19/deep-learning-pipelines-for-high-energy-physics-using-apache-spark-with-distributed-keras-on-analytics-zoo), Oct 2019, Amsterdam ([slides](https://www.slideshare.net/databricks/deep-learning-pipelines-for-high-energy-physics-using-apache-spark-with-distributed-keras-on-analytics-zoo))

- Apache Spark AI Use Case in Telco: Network Quality Analysis and Prediction with Geospatial Visualization, [Spark+AI Summit](https://databricks.com/session_eu19/apache-spark-ai-use-case-in-telco-network-quality-analysis-and-prediction-with-geospatial-visualization), Oct 2019, Amsterdam ([slides](https://www.slideshare.net/databricks/apache-spark-ai-use-case-in-telco-network-quality-analysis-and-prediction-with-geospatial-visualization))

- LSTM-based time series anomaly detection using Analytics Zoo for Spark and BigDL, [Strata Data conference](https://conferences.oreilly.com/strata/strata-eu/public/schedule/detail/74077), May 2019, London ([slides](https://cdn.oreillystatic.com/en/assets/1/event/292/LSTM-based%20time%20series%20anomaly%20detection%20using%20Analytics%20Zoo%20for%20Spark%20and%20BigDL%20Presentation.pptx))

- Game Playing Using AI on Apache Spark, [Spark+AI Summit](https://databricks.com/session/game-playing-using-ai-on-apache-spark), April 2019, San Francisco ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/game-playing-using-ai-on-apache-spark.pdf))

- Using Deep Learning on Apache Spark to Diagnose Thoracic Pathology from Chest X-rays in DELL EMC, [Spark+AI Summit](https://databricks.com/session/using-deep-learning-on-apache-spark-to-diagnose-thoracic-pathology-from-chest-x-rays), April 2019, San Francisco ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/Using%20Deep%20Learning%20on%20Apache%20Spark%20to%20diagnose%20thoracic%20pathology%20from%20.._.pdf))

- Leveraging NLP and Deep Learning for Document Recommendation in the Cloud, [Spark+AI Summit](https://databricks.com/session/leveraging-nlp-and-deep-learning-for-document-recommendations-in-the-cloud), April 2019, San Francisco ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/Leveraging%20NLP%20and%20Deep%20Learning%20for%20Document%20Recommendation%20in%20the%20Cloud.pdf))

- Analytics Zoo: Distributed Tensorflow, Keras and BigDL in production on Apache Spark, [Strata Data conference](https://conferences.oreilly.com/strata/strata-ca/public/schedule/detail/72802), March 2019, San Francisco ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/Analytics%20Zoo-Distributed%20Tensorflow%2C%20Keras%20and%20BigDL%20in%20production%20on%20Apache%20Spark.pdf))

- User-based real-time product recommendations leveraging deep learning using Analytics Zoo on Apache Spark in Office Depot, [Strata Data conference](https://conferences.oreilly.com/strata/strata-ca/public/schedule/detail/73079), March 2019, San Francisco ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/User-based%20real-time%20product%20recommendations%20leveraging%20deep%20learning%20using%20Analytics%20Zoo%20on%20Apache%20Spark%20and%20BigDL%20Presentation.pdf))

- Analytics Zoo: Unifying Big Data Analytics and AI for Apache Spark, [Shanghai Apache Spark + AI meetup](https://www.meetup.com/Shanghai-Apache-Spark-AI-Meetup/events/255788956/), Nov 2018, Shanghai ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/Analytics%20Zoo-Unifying%20Big%20Data%20Analytics%20and%20AI%20for%20Apache%20Spark.pdf))

- Use Intel Analytics Zoo to build an intelligent QA Bot for Microsoft Azure, [Shanghai Apache Spark + AI meetup](https://www.meetup.com/Shanghai-Apache-Spark-AI-Meetup/events/255788956/), Nov 2018, Shanghai ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/Use%20Intel%20Analytics%20Zoo%20to%20build%20an%20intelligent%20QA%20Bot%20for%20Microsoft%20Azure.pdf))

- A deep learning approach for precipitation nowcasting with RNN using Analytics Zoo in Cray, [Strata Data conference](https://conferences.oreilly.com/strata/strata-ny-2018/public/schedule/detail/69413), Sep 2018, New York ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/A%20deep%20learning%20approach%20for%20precipitation%20nowcasting%20with%20RNN%20using%20Analytics%20Zoo%20on%20BigDL.pdf))

- Job recommendations leveraging deep learning using Analytics Zoo on Apache Spark in Talroo, [Strata Data conference](https://conferences.oreilly.com/strata/strata-ny-2018/public/schedule/detail/69113), Sep 2018, New York ([slides](https://cdn.oreillystatic.com/en/assets/1/event/278/Job%20recommendations%20leveraging%20deep%20learning%20using%20Analytics%20Zoo%20on%20Apache%20Spark%20and%20BigDL%20Presentation.pdf))

- Accelerating Deep Learning Training with BigDL and Drizzle on Apache Spark, [Spark + AI Summit](https://databricks.com/session/accelerating-deep-learning-training-with-bigdl-and-drizzle-on-apache-spark), June 2018, San Francisco ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/Accelerating%20deep%20learning%20on%20apache%20spark%20Using%20BigDL%20with%20coarse-grained%20scheduling.pdf))

- Using Crowdsourced Images to Create Image Recognition Models with Analytics Zoo in World Bank, [Spark + AI Summit](https://databricks.com/session/using-crowdsourced-images-to-create-image-recognition-models-with-bigdl), June 2018, San Francisco ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/Using%20Crowdsourced%20Images%20to%20Create%20Image%20Recognition%20Models%20with%20Analytics%20Zoo%20using%20BigDL.pdf))

- Building Deep Reinforcement Learning Applications on Apache Spark with Analytics Zoo using BigDL, [Spark + AI Summit](https://databricks.com/session/building-deep-reinforcement-learning-applications-on-apache-spark-using-bigdl), June 2018, San Francisco ([slides](https://github.com/analytics-zoo/analytics-zoo.github.io/blob/master/presentations/Building%20Deep%20Reinforcement%20Learning%20Applications%20on%20Apache%20Spark%20with%20Analytics%20Zoo%20using%20BigDL.pdf))

- Using BigDL on Apache Spark to Improve the MLS Real Estate Search Experience at Scale, [Spark + AI Summit](https://databricks.com/session/using-bigdl-on-apache-spark-to-improve-the-mls-real-estate-search-experience-at-scale), June 2018, San Francisco

- Analytics Zoo: Building Analytics and AI Pipeline for Apache Spark and BigDL, [Spark + AI Summit](https://databricks.com/session/analytics-zoo-building-analytics-and-ai-pipeline-for-apache-spark-and-bigdl), June 2018, San Francisco

- Using Siamese CNNs for removing duplicate entries from real estate listing databases, [Strata Data conference](https://conferences.oreilly.com/strata/strata-eu-2018/public/schedule/detail/65518), May 2018, London ([slides](https://cdn.oreillystatic.com/en/assets/1/event/267/Using%20Siamese%20CNNs%20for%20removing%20duplicate%20entries%20from%20real%20estate%20listing%20databases%20Presentation.pdf))

- Classifying images on Spark in World Bank, [AI conference](https://conferences.oreilly.com/artificial-intelligence/ai-ny-2018/public/schedule/detail/64939), May 2018, New York ([slides](https://cdn.oreillystatic.com/en/assets/1/event/280/Classifying%20images%20in%20Spark%20Presentation.pdf))

- Improving user-merchant propensity modeling using neural collaborative filtering and wide and deep models on Spark BigDL in Mastercard, [Strata Data conference](https://conferences.oreilly.com/strata/strata-ca-2018/public/schedule/detail/63897), March 2018, San Jose ([slides](https://cdn.oreillystatic.com/en/assets/1/event/269/Improving%20user-merchant%20propensity%20modeling%20using%20neural%20collaborative%20filtering%20and%20wide%20and%20deep%20models%20on%20Spark%20BigDL%20at%20scale%20Presentation.pdf))

- Accelerating deep learning on Apache Spark using BigDL with coarse-grained scheduling, [Strata Data conference](https://conferences.oreilly.com/strata/strata-ca-2018/public/schedule/detail/63960), March 2018, San Jose ([slides](https://cdn.oreillystatic.com/en/assets/1/event/269/Accelerating%20deep%20learning%20on%20Apache%20Spark%20using%20BigDL%20with%20coarse-grained%20scheduling%20Presentation.pptx))

- Automatic 3D MRI knee damage classification with 3D CNN using BigDL on Spark in UCSF, [Strata Data conference](https://conferences.oreilly.com/strata/strata-ca-2018/public/schedule/detail/64023), March 2018, San Jose ([slides](https://cdn.oreillystatic.com/en/assets/1/event/269/Automatic%203D%20MRI%20knee%20damage%20classification%20with%203D%20CNN%20using%20BigDL%20on%20Spark%20Presentation.pdf))

