| Sumario: | The Strata Data Conference New York 2017 gathered more than 340 of the world's brightest data visionaries, practitioners, and strategists to speak about today's most effective big data technologies, techniques, and business practices. This video compilation gives you a best-in-house seat for each of the conference's 21 keynotes, 22 tutorials, and 189 individual sessions, which covered topics about AI, predictive analytics, security, cloud strategy, data engineering, Hadoop, machine learning, IoT, stream processing, visualization, and more. It includes all of the exclusive programming delivered at the conference's Strata Business Summit (aka, the missing MBA for data-driven business) with 25 sessions specifically tailored for C-suite executives, business leaders, and strategists. You'll hear Microsoft researcher danah boyd's revelations of the unseen ways our data systems are being gamed; author Cathy O'Neil's ( Weapons of Math Destruction ) exposé of the ways mathematical models shape our future; and Tim O'Reilly's (O'Reilly Media) call-to-action on business's role in choosing an AI-centered future that works best for everyone. You'll get to see Evan Levy (SAS) describe the five essential components of a data strategy, Atul Dalmia (American Express) recount how Amex drove enterprise adoption of big data, and Tobi Bosede (John Hopkins) explain Apache Spark's usefulness in futures trading. And you'll also get privileged access to eleven "Executive Briefings" from top attorneys, like Alysa Hutnik (Kelley Drye & Warren LLP) on the best legal practices for making data work and top execs like Bill Schmarzo (Dell EMC) on how to properly determine the economic value of your business data. Every Findata session, Strata's deep dive into the finance world's most disruptive data technologies is part of this compilation. You'll hear insider reports by quants and strategists such as Jason Morton (Ascendant), Robert Passarella (Protégé Partners), Jike Chong (Tsinghua University), Jessica Stauth (Quantopian), Abraham Thomas (Quandl), Tanvi Singh (Credit Suisse), José Ribau (CIBC), and Leigh Drogen (Estimize) on topics ranging from crowd-sourced investment research and algorithms for modeling real estate offerings to big data techniques that detect financially manipulative practices such as spoofing and layering. In addition, you'll gain access to dozens of case studies detailing the story on Spotify's transition from data centers to the cloud; Salesforce's ...
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