Presented By O’Reilly and Intel AI
Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK

Schedule: Retail and e-commerce sessions

Add to your personal schedule
13:45–14:25 Wednesday, 10 October 2018
Implementing AI
Location: King's Suite - Balmoral
Rupert Steffner (WUNDER)
Average rating: ***..
(3.00, 1 rating)
The increase in automated decision making, along with doubts in the quality of algorithmic decisions, has driven demand for transparency and accountability in AI. Rupert Steffner explains why the shift from black box to white box is a great opportunity to build AI models that create trust with the user and shares Sense-Infer-Act-Learn, a logical AI execution model to enable a more trustworthy AI. Read more.
Add to your personal schedule
14:35–15:15 Wednesday, 10 October 2018
James Crawford (Orbital Insight)
By some estimates, soon it will require eight million people doing nothing but looking at satellite imagery 24/7 in order to ensure every photo taken on a daily basis is viewed. James Crawford explains how artificial intelligence solves this problem of scale, allowing us to accurately analyze reams of satellite imagery and detect patterns of socioeconomic change in a timely fashion. Read more.
Add to your personal schedule
16:00–16:40 Wednesday, 10 October 2018
Models and Methods
Location: King's Suite - Sandringham
Pin-Yu Chen (IBM Research AI)
Average rating: *****
(5.00, 1 rating)
Neural networks are particularly vulnerable to adversarial inputs. Carefully designed perturbations can lead a well-trained model to misbehave, raising new concerns about safety-critical and security-critical applications. Pin-Yu Chen offers an overview of CLEVER, a comprehensive robustness measure that can be used to assess the robustness of any neural network classifiers. Read more.
Add to your personal schedule
16:50–17:30 Wednesday, 10 October 2018
Implementing AI
Location: Windsor Suite
Alan Nichol (Rasa)
Average rating: ****.
(4.50, 2 ratings)
Alan Nichol walks you through building fully machine learning-based voice and chatbots with the open source Rasa stack. Read more.
Add to your personal schedule
11:05–11:45 Thursday, 11 October 2018
Implementing AI
Location: King's Suite - Sandringham
Mikio Braun (Zalando SE)
Mikio Braun looks back on the past 20 years of machine learning research to explore aspects of artificial intelligence. He then turns to current examples like autonomous cars and chatbots, putting together a mental model for a reference architecture for artificial intelligence systems. Read more.
Add to your personal schedule
11:55–12:35 Thursday, 11 October 2018
Models and Methods
Location: King's Suite - Sandringham
Dafna Shahaf (The Hebrew University of Jerusalem)
Average rating: ****.
(4.00, 1 rating)
The availability of large idea repositories (e.g., patents) could significantly accelerate innovation and discovery by providing people inspiration from solutions to analogous problems. Dafna Shahaf presents an algorithm that automatically discovers analogies in unstructured data and demonstrates how these analogies significantly increased people's likelihood of generating creative ideas. Read more.
Add to your personal schedule
13:45–14:25 Thursday, 11 October 2018
Implementing AI, Models and Methods
Location: Windsor Suite
Florian Wilhelm (inovex GmbH)
Average rating: *****
(5.00, 1 rating)
Even in the age of big data, labeled data is a scarce resource in many machine learning use cases. Florian Wilhelm evaluates generative adversarial networks (GANs) when used to extract information from vehicle registrations under a varying amount of labeled data, compares the performance with supervised learning techniques, and demonstrates a significant improvement when using unlabeled data. Read more.
Add to your personal schedule
14:35–15:15 Thursday, 11 October 2018
AI Business Summit
Location: Blenheim Room - Palace Suite
Bessie Lee (Withinlink), Ching Law (Tencent)
Advertising in China is on the frontline of AI adoption and innovation. Join Bessie Lee and Ching Law for a conversation on how AI is changing advertising. You'll hear how China's white-hot AI advertising applications can serve as roadmaps and spark ideas in other industries and how companies like Tencent are improving performance by leveraging AI technology. Read more.
Add to your personal schedule
16:00–16:40 Thursday, 11 October 2018
Implementing AI, Models and Methods
Location: King's Suite - Balmoral
Dr. Sid J Reddy (Conversica)
Sid Reddy shows you how to avoid the hype and decide which use cases are the best for deep reinforcement learning. You'll explore the Markov decision process with conversational AI and learn how to set up the environment, states, agent actions, transition probabilities, reward functions, and end states. You'll also discover when to use end-to-end reinforcement learning. Read more.