AI News, Hardcore Data Science: 2015California

Hardcore Data Science: 2015California

Tara Sainath of @google opens Hardcore Data Science at #stratahadoop: towards New Architectures for Deep Learning http://t.co/uI0q5hgviE Michael Jordan of @amplab at #stratahadoop: theoretical tradeoffs - statistical risk, amount of data, externalities http://t.co/N1Lh1J7EFD Maya Gupta of @google at #stratahadoop: on monotonicity, smoothness, and semantically-meaningful inputs/outputs http://t.co/p3FQAkfI8S Alyosha Efros of @UCB_EECS is giving a great talk on visual data mining at #stratahadoop http://t.co/4dk68F2FmV Eamonn Keogh of @UCRiverside on why he's interested in repeated pattern discovery in time series #StrataHadoop http://t.co/DZqobhYu26 .@AnimaAnandkumar of @UCIrvine makes a strong case for tensors at #stratahadoop http://t.co/Y6BJbh2p50 John Canny of @UCB_EECS sharing BIDMach's impressive performance numbers at #stratahadoop #machinelearning http://t.co/ASnIbqbBbU Fei-Fei Li, Director of @Stanford Artificial Intelligence Lab on large scale object recognition at #StrataHadoop http://t.co/LuuqrjCwzt .@davidandrzej of @sumologic on using Graph mining for log/event data #StrataHadoop http://t.co/BSeIlrUkWA .@johnmyleswhite of @facebook on Why #julialang is important for Data Science #StrataHadoop http://t.co/OC6S3rAWSd Features not algorithms: Chris Re of @stanford on DeepDive, open source, #bigdata knowledge databases #StrataHadoop http://t.co/7D3lmBB5eU

Special programs: Strata Business Summit, Findata Day, and one-day intensive training courses.

You'll get a first look at the emerging trends that will rock the data industry—and the insight you need to prepare your career and business for the future.

You'll get an insider's perspective on data's latest tools and technologies—and the technical expertise and detailed case studies you need to make your data strategies and implementations work today.

And you'll share ideas and best practices with thousands of the leading minds in technology and business: data scientists, AI researchers, developers, analysts, engineers, and executives from a wide range of industries, including speakers like Jacob Ward, Amanda Pustilnik, and Julia Angwin.

Five Talks for Solving Big Data Challenges at Strata+Hadoop World

Strata+Hadoop World in San Jose kicks-off next week on March 14, offering data engineers and business intelligence professionals a place to gather and learn about the most challenging problems, engaging use cases, and enticing opportunities in data today.

See everything we have planned for Strata+Hadoop World including customer talks, events, demos, and giveaways at: memsql.com/strata With over 250 speaking sessions to choose from, deciding the right session to check out at Strata can be a bit overwhelming.

Burkhart, technical lead on real-time data infrastructure at Uber, will showcase how Uber is supporting millions of analytical queries daily across realtime data.

These datasets are both massive and product facing—they directly affect the customer’s personalized experience—which means that the impact is high and tolerance for failure is low.

Gwen Shapira offers an overview of several use cases, including real-time analytics and payment processing, that may require multicluster solutions and discusses real-world examples with their specific requirements.

Burkhart, technical lead on real-time data infrastructure at Uber, will showcase how Uber is supporting millions of analytical queries daily across realtime data.

Frenkiel, cofounder and CEO of MemSQL, will walk through advanced tools including TensorFlow, Spark, and Kafka, as well as compelling use cases demonstrating the power of machine learning to effect positive change.

Strata+Hadoop World 2016: Dell EMC Makes Data Work in the City that Never Sleeps

Location: 1B 01/02 In the age of big data analytics, smart monitoring and predicting abnormal behavior of corporation mission-critical systems can save large amounts of time and money.

Drawing on a real-world case study from EMC, Amihai Savir, a seasoned data scientist currently leading a team of data scientists in Dell EMC, offers an overview of the team’s remarkable journey, discussing the multiple phases and development stages as well as the many questions and doubts that arose along the way.

Amihai will share the team’s experience and insights, which will provide value and a solid knowledge foundation for managers, data scientists, analytics professionals, and IT operations to leverage in order to drive and build data-driven processes.

Location: Javits North It is clear that we’re at a critical inflection point in the industry – organizations are realizing that they must quickly adapt in order to keep pace in today’s ever-changing digital economy.

Darryl Smith, chief data platform architect and distinguished engineer at Dell Technologies, shares tested principles for streaming architectures so you can navigate solution options quickly.

Location: 1B 01/02 Defining the challenges, outlining the goals, identifying the use cases, and tracking ROI are always important considerations when building a big data strategy, but what about greater behind-the-scenes challenges like security, consumer privacy, fraud detection, governance, and financial investment?

Mastercard’s Nick Curcuru hosts an interactive fireside chat with Anthony Dina from Dell EMC to explore how the flexibility, scalability, and agility of Hadoop big data solutions allow one of the world’s leading organizations to innovate, enable, and enhance the customer experience while still expanding emerging opportunities.

Holden Karau, IBM - #BigDataSV 2016 - #theCUBE

01. Holden Karau, IBM, Visits #theCUBE!. (00:21) 02. Give Us An Update On Spark. (00:43) 03. Do The Hardcore Spark Developers Have To Main Stream It.

Big Data Analyst Panel - #BigDataSV 2016 - #theCUBE

01. Big Data Analyst Panel Visits #theCUBE!. (00:20) 02. Tony Baer, Ovum, Visits #theCUBE!. (00:44) 03. Mike Gulatierri, Forrester, Visits #theCUBE!. (01:04) 04.

Chris Devaney, DataRobot - #BigDataSV 2016 - #theCUBE

01. Chris Devaney, DataRobot, Visits #theCUBE. (00:14) 02. Automated Machine Learning Platform. (00:34) 03. Scaling Data Science. (01:45) 04. DataRobot ...

Tendu Yogurtcu, Syncsort - #BigDataSV 2016 - #theCUBE

01. Tendu Yogurtcu, Syncsort, Visits #theCUBE. (00:15) 02. The Next Generation Data Warehouse. (00:38) 03. Data Cleansing Trends and Challenges. (02:34) ...

Bill Schmarzo, EMC - #BigDataSV 2016 - #theCUBE

01. Bill Schmarzo, EMC, Visits #theCUBE!. (00:20) 02. Give Us An Update On What You're Doing. (00:45) 03. How Do You Talk To Customers About What They ...

Steven Sit, IBM - #BigDataSV 2016 - #theCUBE

01. Steven Sit, IBM, visits #theCUBE!. (00:14) 02. The Hadoop and Spark Relationship. (01:04) 03. The Secret to Spark's Success and the Role of Speed. (04:43) ...

Live from #StrataHadoop - Nitin Motgi, Cask

Ritika Gunnar & David Richards - #BigDataSV 2016 - #theCUBE

01. Ritika Gunner, IBM, visits #theCUBE!. (00:15) 02. David Richards, WANdisco, visits #theCUBE!. (00:30) 03. WANdisco and IBM at BigDataSV. (00:39) 04.