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25:32

Validation Methodology of Large Unstructured Unsupervised Learning Systems

Posted by  on  Nov 26, 2016

Lawrence Chernin describes best practices and validation methods used to deal with large unstructured data, including a suite of unit tests covering the implementations of algorithmic equations.

38:53

Developing a Machine Learning Based Predictive Analytics Engine for Big Data Analytics

Posted by  on  Oct 16, 2016

Ali Jalali presents how to develop a machine learning predictive analytics engine for big data analytics.

30:06

The Joy of Analysis Development

Posted by  on  Sep 06, 2016

Hilary Parker discusses the history of the analysis development tools, the current state of the art, and the importance for data scientists and analysts to understand programming principles.

38:06

Structuring Data for Self-Serve Customer Insights

Posted by  on  Aug 12, 2016

Jim Porzak discusses creating an analyst ready data mart that is complete at different levels of abstraction and models customer decision points in order to be able to understand customers.

42:50

Applying Big Data

Posted by  on  Aug 07, 2016

Graeme Seaton discusses the drivers behind Big Data initiatives and how to approach them using the vast amounts of data available.

26:58

Creating Customer-Centric Products Using Big Data

Posted by  on  Jul 15, 2016

Kriti Sharma talks about how Barclays is solving some of the toughest big data challenges in financial services using scalable, open source technology.

40:09

Building a Predictive Intelligence Engine

Posted by  on  Jun 24, 2016

Viral Bajaria explains a formula for reaching the B2B buyer early in the sales cycle by tying together billions of rows of customer data and overlaying predictive intelligence technology.

27:42

Hypermedia Web API as a Network of Data

Posted by  on  Jun 14, 2016 1

Todd Brackley discusses accessing the “network of data” through a RESTful hypermedia API, exposing it to developers, testers, analysts and clients.

35:44

Big-Data Analytics Misconceptions

Posted by  on  May 03, 2016

Irad Ben-Gal discusses Big Data analytics misconceptions, presenting a technology predicting consumer behavior patterns that can be translated into wins, revenue gains, and localized assortments.

47:32

Understanding Real-time Conversations on Facebook

Posted by  on  Apr 17, 2016

Janet Wiener discusses using a data pipeline and graphic visualizations to extract and analyze the Chorus – the aggregated, anonymized voice of the people communicating on Facebook - in real time.

47:25

Real-time Stream Computing & Analytics @Uber

Posted by  on  Apr 09, 2016

Sudhir Tonse discusses using stream processing at Uber: indexing and querying of geospatial data, aggregation and computing of streaming data, extracting patterns, TimeSeries analyses and predictions.

43:44

Rethinking Streaming Analytics for Scale

Posted by  on  Apr 03, 2016

Helena Edelson addresses new architectures emerging for large scale streaming analytics based on Spark, Mesos, Akka, Cassandra and Kafka (SMACK) or Apache Flink or GearPump.

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