14–17 Oct 2019
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Schedule: Case Studies sessions

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11:0511:45 Wednesday, 16 October 2019
Location: Westminster Suite
Adithya Hrushikesh (Vodafone)
Average rating: ****.
(4.00, 4 ratings)
Every day, millions of Vodafone Germany customers reach out through various social media channels about issues related to mobile, internet, signal issues, etc. Adithya Hrushikesh details how to build and deploy an ensemble model to classify 26 (originally 56) complaint classes using machine learning over deep learning. He also touches on the business case, data product development, and GDPR. Read more.
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11:5512:35 Wednesday, 16 October 2019
Location: King's Suite - Balmoral
Konrad Wawruch (7bulls.com)
Average rating: ****.
(4.00, 2 ratings)
Real business usage of most advanced methods for financial time series forecasting (based on winning methods from M4 competition) and assets portfolio optimization (based on Monte Carlo Tree Search with neural networks - Alpha Zero approach). Complete investments platform with the AI workflow and real time integration with the brokers. Real usage demo. Read more.
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14:3515:15 Wednesday, 16 October 2019
Location: Windsor Suite
Secondary topics:  Design, Interfaces, and UX
Tim Daines (QuantumBlack), Philip Pilgerstorfer (QuantumBlack)
Data scientists feel naturally comfortable with the language of mathematics, while designers think in the language of human empathy. Creating a bridge between the two was essential to the success of a recent project at an energy company. Tim Daines and Philip Pilgerstorfer detail what they learned while creating these bridges, showcasing techniques through a series of “aha” moments. Read more.
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16:0016:40 Wednesday, 16 October 2019
Location: Westminster Suite
Danielle Deibler (MarvelousAI)
Average rating: ****.
(4.57, 7 ratings)
Danielle Deibler examines an approach to detecting bias, fine-grained emotional sentiment, and misinformation through the detection of political narratives in online media. As building blocks, the methodology uses human-in-the-loop, alongside other natural language processing and computational linguistics techniques, with examples focused on the 2020 US presidential election. Read more.
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13:4514:25 Thursday, 17 October 2019
Location: Buckingham Room - Palace Suite
Cam Buscaron (Amazon Web Services)
As robots and AI systems become more prevalent in enterprise, industrial, and home settings, there's an increasing need for well-maintained, reliable, and secure development tools and frameworks for the next-generation production-grade robots and systems. Cam Buscaron explains how to leverage large-scale cloud simulation and the Robot Operating System (ROS) to build such systems. Read more.
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16:0016:40 Thursday, 17 October 2019
Location: Westminster Suite
Secondary topics:  Ethics, Security, and Privacy
Walter Riviera (Intel)
What are the essentials steps to take in order to develop an AI solution? How long would this process would take? As machine learning is teaching us, the answers can be learned from previous experience. Walter Riviera walks you through a collection of real-life stories, looking for successful and misleading behavioral patterns. Read more.
  • Intel AI
  • O'Reilly
  • Amazon Web Services
  • IBM Watson
  • Dell Technologies
  • Hewlett Packard Enterprise
  • AXA

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