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update presentations and powerby #2839

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1 change: 1 addition & 0 deletions docs/docs/powered-by.md
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Expand Up @@ -48,6 +48,7 @@ Learning on Apache Spark and Analytics Zoo](https://www.dellemc.com/resources/en
* __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__
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6 changes: 6 additions & 0 deletions docs/docs/presentations.md
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Expand Up @@ -4,6 +4,12 @@

**Talks:**

* 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))
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