Strata Data Conference 2019 - San Francisco, California

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Strata Data Conference 2019 - San Francisco, California
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 7.31 GB
Genre: eLearning | Language: English


We'll make the Keynotes available here as soon as possible after they happen. Video of the sessions andtutorials will be available a few weeks after the end of the conference.
Thousands of the data scientists, analysts, engineers, developers, and executives converged at the StrataData Conference San Francisco in March 2019 to absorb the insights and wisdom of the data world'sbest minds. The conference featured more than 300 speakers, 10 keynotes, 10 tutorials, and 150+technical sessions. This video compilation captures the best from the conference, offering more than100 hours of material to review at your own pace. Highlights include:
The Strata Business Summit - speakers, executive briefings, and tech sessions laserfocused on a central theme: How do the world's leading companies build their successful datastrategies? Learn about recommendation engines, AI-based personalization solutions, datagovernance, ML based customer insight harvesting, and more from data wizards like ZacheryAnderson (Electronic Arts), Eric Bradlow (The Wharton School), David Talby (Pacific AI), Paco Nathan(derwen.ai), Jonathan Francis (Starbucks), and JoLynn Lavin (General Mills).
The Strata Data Ethics Summit - Is your AI really making good decisions or have you built adeceptive black box that reinforces ugly stereotypes? Alistair Croll (Strata Chair), Tim O'Reilly(O'Reilly Media), and Susan Etlinger's (Altimeter Group) eight hour deep dive into the thorny issuesof data and algorithms with help from Jana Eggers (Nara Logics), Rumman Chowdhury (Accenture),Kathy Baxter (Salesforce), Carole Piovesan (McCarthy Tétrault), and more.
Hours of tutorials from the world's top data engineers, such as Francesca Lazzeri (Microsoft) andHolden Karau (Google) on training and deploying models with Kubeflow across different cloudvendors; Dean Wampler (Lightbend) on performing machine learning using Kafka-based streamingpipelines; and Jason Dai (Intel) on the Analytics Zoo, an analytics/AI platform that seamlessly unitesSpark, TensorFlow, Keras, and BigDL programs into an integrated pipeline.
Sessions devoted to Data Science, Machine Learning & AI, including Sharad Goel (StanfordUniversity) on the challenges of "fair machine learning", which aims to ensure that decisions guided by algorithms are equitable; Kelley Rivoire (Stripe) on scaling machine learning using the RailyardAPI; Vinod Vaikuntanathan (MIT) on performing machine learning on encrypted data; and JeremyHoward (platform.ai) on recent advances in deep learning that allow non-engineers to train neuralnetworks from scratch without needing code or pre-existing labels.
Sessions focused on Data Engineering & Architecture, including Karthik Ramasamy (Streamlio) onreducing stream processing complexity using Apache Pulsar Functions; Rachel Warren's (SalesforceEinstein) review of Spark tuning; and Tobias Knaup (Mesosphere) on the critical learning that musttake place before and after you've trained and modeled your deep learning models.
Multiple sessions on Streaming and IoT, Business Analytics, UX and Visualization, plus keynotes fromAI/cryptography expert Shafi Goldwasser (UC Berkeley) and from "Likewar: The Weaponization ofSocial Media" co-author Peter Singer.
The Future of the Firm, A six-session mini-conference within Strata that highlights how leading edgetech companies adapt to the workforce, business, and economic trends shaping the future ofbusiness. Led by Josh Bersin (Founder, Bersin by Deloitte) and executives from Capital One,Bloomberg Beta, Genentech, Publicis Sapient, and more.







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