14–17 Oct 2019

Schedule: Sponsored sessions

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9:5510:00 Wednesday, 16 October 2019
Location: King's Suite
Arash Ghazanfari (Dell Technologies)
Average rating: **...
(2.67, 6 ratings)
As we look toward more demanding applications of artificial intelligence to unlock value from data, it's increasingly essential to develop a sustainable big data strategy and to efficiently scale artificial intelligence initiatives. Arash Ghazanfari covers the fundamental principles that need to be considered in order to achieve this goal. Read more.
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11:0511:45 Wednesday, 16 October 2019
Location: Park Suite
Ritika Gunnar explores why you need to focus on your organization’s culture and build a data-first approach to shape a strong, AI-ready organization. Read more.
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11:5512:35 Wednesday, 16 October 2019
Location: Park Suite
Thomas Henson (Dell Technologies)
Average rating: ****.
(4.00, 1 rating)
As machine learning and deep learning techniques reach mainstream adoption, the architectural considerations for platforms that support large-scale production deployments of AI applications change significantly as you mature beyond small-scale sandbox and POC environments. Thomas Henson walks you through eliminating I/O bottlenecks to keep your GPU-powered AI rocket ship fueled with data. Read more.
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11:5512:35 Wednesday, 16 October 2019
Location: Hilton Meeting Room 3-6
Average rating: ****.
(4.50, 2 ratings)
Advances in artificial intelligence have meant that it's now more accessible than ever before—and this accessibility means that it can be both the hunter and the hunted. In the race to ensure cybersecurity, AI is an essential tool to protect your most sensitive assets. Join Matt Armstrong-Barnes to find out how this new dimension is changing the threat landscape and how to make AI your friend. Read more.
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13:4514:25 Wednesday, 16 October 2019
Location: Park Suite
Brett A Phaneuf (Submergence Group (US) and MSubs (UK))
Average rating: *****
(5.00, 2 ratings)
Brett Phaneuf outlines how similar types of AI can fit into your company solutions and how technologies like containers, deep learning, cloud, machine learning, and more all fit together to drive innovation for the "new world" of the future. Read more.
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14:3515:15 Wednesday, 16 October 2019
Location: Park Suite
Sergey Ermolin (Amazon Web Services)
Average rating: ***..
(3.25, 4 ratings)
Sunil Mallya walks you through building complex ML-enabled products using reinforcement learning (RL), explores hardware design challenges and trade-offs, and details real-life examples of how any developer can up-level their RL skills through autonomous driving. Read more.
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14:3515:15 Wednesday, 16 October 2019
Location: Hilton Meeting Room 3-6
Thomas Phelan (HPE BlueData)
Join Thomas Phelan to learn whether the combination of containers with large-scale distributed data analytics and machine learning applications is like combining oil and water or like peanut butter and chocolate. Read more.
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16:0016:40 Wednesday, 16 October 2019
Location: Park Suite
Average rating: ***..
(3.80, 5 ratings)
Lyndon Leggate walks you through a step-by-step demonstration of how you can up level your reinforcement learning (RL) skills through autonomous driving. Read more.
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16:5017:30 Wednesday, 16 October 2019
Location: Park Suite
Average rating: *****
(5.00, 7 ratings)
Your company has a large amount of data locked into thousands or millions of scanned paper documents. You'd like to extract and analyze it, but you first have to prove that your algorithm works and brings business value. Ciprian Tomoiaga explains how to start. Read more.
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11:0511:45 Thursday, 17 October 2019
Location: Park Suite
Carlos Escapa (Amazon Web Services)
Average rating: *****
(5.00, 5 ratings)
Carlos Escapa takes a deep dive into how to identify use cases for ML, acquire cutting-edge best practices to frame problems in a way that key stakeholders and senior management can understand and support, and set the stage for delivering successful ML-based solutions for your business. Read more.

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