Strata Data Conference 2017 - New York, New York

[TheCornor]

Strata Data Conference 2017 - New York, New York

MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 1 Hour | 1.86 GB

Genre: eLearning | Language: English

 

We'll 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.

 

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.

 

We'll 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 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 Einstein AI platform; geospatial big data analysis at Uber; Comcast's use of Apache Avro for end-to-end data governance; Danske Bank's use of AI to fight financial fraud; the Portland Trail Blazers use of Azure machine learning to boost ticket sales; FINRA's implementation of a data lake in the AWS cloud; Cloudera's 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 data's emerging technologies. Get this compilation and you'll be one of the first to learn about Apache Parquet, TimescaleDB, Stanford University's Weld, Twitter Heron, relational storage, Prophet probabilistic programming, PyTextRank natural language processing, the Elastic Data Platform, and much more.

 

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