Strata Data Conference 2017 – New York, New York

$40.00

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Strata Data Conference 2017 – New York, New York

$40.00

Well make the Keynotes available here as soon as possible after they happen. Video of the sessions and tutorials will be available a few weeks after the end of the conference.

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Purchase Strata Data Conference 2017 – New York, New York Course at Brainet. You will get full course. Downloads are quick and at no extra cost.

Well make the Keynotes available here as soon as possible after they happen. Video of the sessions and tutorials will be available a few weeks after the end of the conference.

The Strata Data Conference New York 2017 gathered more than 340 of the worlds brightest data visionaries, practitioners, and strategists to speak about todays most effective big data technologies, techniques, and business practices. This video compilation gives you a best-in-house seat for each of the conferences 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 conferences Strata Business Summit (aka, the missing MBA for data-driven business) with 25 sessions specifically tailored for C-suite executives, business leaders, and strategists. Youll hear Microsoft researcher danah boyds revelations of the unseen ways our data systems are being gamed; author Cathy ONeils (Weapons of Math Destruction) exposé of the ways mathematical models shape our future; and Tim OReillys (OReilly Media) call-to-action on businesss role in choosing an AI-centered future that works best for everyone.

Youll 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 Sparks usefulness in futures trading. And youll 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, Stratas deep dive into the finance worlds most disruptive data technologies is part of this compilation. Youll 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, youll gain access to dozens of case studies detailing the story on Spotifys transition from data centers to the cloud;

Salesforces Einstein AI platform; geospatial big data analysis at Uber; Comcasts use of Apache Avro for end-to-end data governance; Danske Banks use of AI to fight financial fraud; the Portland Trail Blazers use of Azure machine learning to boost ticket sales; FINRAs implementation of a data lake in the AWS cloud; Clouderas guide to using Hadoop and machine learning to spot cybersecurity incidents at scale; and a HIPPA-friendly online doctor marketplace and booking tool called Zocdoc.

And, like all Strata video compilations, this one is packed with revelations about big datas emerging technologies. Get this compilation and youll be one of the first to learn about Apache Parquet, TimescaleDB, Stanford Universitys Weld, Twitter Heron, relational storage, Prophet probabilistic programming, PyTextRank natural language processing, the Elastic Data Platform, and much more.

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Purchase Strata Data Conference 2017 – New York, New York Course at Brainet. You will get full course. Downloads are quick and at no extra cost.

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