Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA

Emerging Technologies conference sessions

Tuesday, March 29

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9:05am–9:30am Tuesday, 03/29/2016
Location: Hilton, Almaden Ballroom
Arno Candel (H2O.ai)
Average rating: ****.
(4.00, 3 ratings)
In recent years, deep learning has taken the lead in predictive accuracy in many fields of machine learning, and companies are struggling to keep up with the speed of innovation. Arno Candel demonstrates how successful enterprises can augment simple statistical models with more accurate data-driven models to gain a competitive edge. Read more.
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9:30am–10:00am Tuesday, 03/29/2016
Location: Hilton, Almaden Ballroom
Keith Bigelow (3D Robotics)
Average rating: ****.
(4.67, 3 ratings)
Keith Bigelow outlines the industry use cases driving drone adoption, the sensors they demand, and the data and analytics that this next wave of automation will bring. Read more.
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10:00am–10:30am Tuesday, 03/29/2016
Location: Hilton, Almaden Ballroom
James Crawford (Orbital Insight)
Average rating: ****.
(4.00, 4 ratings)
Big data is exploding in space. Constellations of satellites are being launched to monitor the world in all wavelengths—tracking everything from ships to corn harvests. James Crawford explains how machine vision lets us see vast areas at once, while machine learning lets us analyze these images trillions of pixels at a time to recognize patterns that can help with world-changing projects Read more.
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11:00am–11:30am Tuesday, 03/29/2016
Location: Hilton, Almaden Ballroom
Kanu Gulati (Zetta Venture Partners)
Average rating: *....
(1.67, 6 ratings)
Hardware-accelerated solutions are ready to meet challenges in data analytics with regard to data I/O, computational capacity, and interactive visualization. Data analytics and HPC evolution must go hand in hand. Kanu Gulati offers an overview of the advances in hardware acceleration and discusses the HPC applications enabling the next major wave of analytics innovation. Read more.
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11:30am–12:00pm Tuesday, 03/29/2016
Location: Hilton, Almaden Ballroom
Naveen Rao (Intel)
Average rating: ***..
(3.33, 6 ratings)
Naveen Rao discusses deep learning, a form of machine learning loosely inspired by the brain. Naveen explores the benefits of deep learning over other machine-learning techniques, recent advances in the field, the deep learning workflow, challenges in developing and deploying deep learning-based solutions, and the need for standardized tools for building and scaling deep learning solutions. Read more.
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12:00pm–12:30pm Tuesday, 03/29/2016
Location: Hilton, Almaden Ballroom
Timoni West (Unity Labs)
Average rating: ***..
(3.86, 7 ratings)
In 2016, the first powerful, fully tracked VR headsets will hit the market. Timoni West covers current hardware and software options, explains the pipeline for creating in VR, and offers an overview of related cognitive and physical issues. Timoni also touches on interesting companies, academics, and individuals working on some of the first new data projects in VR. Read more.
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1:30pm–2:00pm Tuesday, 03/29/2016
Location: Hilton, Almaden Ballroom
Michael Conover (LinkedIn)
Average rating: **...
(2.50, 2 ratings)
Michael Conover details the structure and dynamics of LinkedIn's Economic Graph in all its exquisite detail, exploring breathtaking visualizations, sophisticated machine-learning algorithms, and actionable insights that will improve the quality of your professional network. Read more.
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2:00pm–2:30pm Tuesday, 03/29/2016
Location: Hilton, Almaden Ballroom
Tags: ai
Faisal Farooq (IBM Watson Health), Balaji Krishnapuram (IBM Watson Health)
Average rating: *....
(1.75, 4 ratings)
Faisal Farooq and Balaji Krishnapuram explore how data science 3.0 is empowering domain experts in industry verticals—due to the industrialized division of labor with standardized processes and user tools—and offer an example from the healthcare industry that substantially reduced costs for a healthcare entity and improved clinical outcomes in patients. Read more.
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2:30pm–3:00pm Tuesday, 03/29/2016
Location: Hilton, Almaden Ballroom
Mr Prabhat (Berkeley Lab)
Average rating: ****.
(4.50, 2 ratings)
Prabhat reviews the top data analytics problems in modern science—covering problems at all scales, from full-scale astronomy surveys to subatomic physics—and outlines Berkeley Lab's hardware and software strategy for dealing with these daunting challenges. Read more.
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3:30pm–4:00pm Tuesday, 03/29/2016
Location: Hilton, Almaden Ballroom
Renee DiResta (Haven)
Average rating: ****.
(4.50, 2 ratings)
Renee DiResta explores the ways that data and technology are beginning to transform the logistics industry and advocates for the introduction of an exchange model to enable effective price discovery, as well as faster execution and clearing by decreasing counterparty risk. Read more.
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4:00pm–4:30pm Tuesday, 03/29/2016
Location: Hilton, Almaden Ballroom
Matt Butner (Stride Health)
Average rating: *....
(1.00, 1 rating)
Matt Butner shares real-world data, methods, and outcomes from helping consumers make smarter health decisions at scale. Read more.
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4:30pm–5:00pm Tuesday, 03/29/2016
Location: Hilton, Almaden Ballroom
Joshua Hoffman (Zymergen)
Joshua Hoffman explores engineering industrial biology with data. Read more.