Presented By
O’Reilly + Cloudera
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
London, UK
Tuesday, 30 April 2019
London, UK
– Alistair Croll, Strata Conference Chair and Findata Day Host
Findata Day
Finance is information. From analyzing risk and detecting fraud to predicting payments and improving customer experience, data technologies are transforming the financial industry. And we're diving deep into this change with a new day of data-meets-finance talks, tailored for Strata Data Conference events in the world's financial hubs. Bringing together bankers, analysts, entrepreneurs, financiers, and technologists, it's a can't-miss day for anyone working in the financial sector.
Tuesday, April 30, 2019 | Location: Capital Suite 13
Tuesday, 30/04/2019
9:00
Secondary topics:
Financial Services
Alistair Croll (Solve For Interesting)
Average rating:
(5.00, 2 ratings)
Welcome to the Findata Day tutorial.
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9:05
Findata
Location: Capital Suite 13
Martin Leijen (Rabobank / Digital Transformation Office)
Average rating:
(4.50, 10 ratings)
Martin Leijen discusses how Rabobank created a data and intelligence lab as an enabler for data and business domains to accelerate in using AI and Advanced Analytics.
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9:50
Charlotte Werger (Van Lanschot Kempen)
Average rating:
(5.00, 12 ratings)
Charlotte Werger outlines the components necessary to transform a traditional wealth manager into a data-driven business, paying special attention to devising and executing a transformation strategy by identifying key business subunits where automation and improved predictive modeling can result in significant gains and synergies.
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11:00
Findata
Location: Capital Suite 13
Daniel First (QuantumBlack)
Average rating:
(4.00, 12 ratings)
Daniel First details QuantumBlack’s innovative methodology for identifying and mitigating risk in the development and deployment of machine learning at scale.
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11:30
Tal Doron (GigaSpaces)
Average rating:
(2.67, 12 ratings)
Tal Doron explains how a leading IT service provider for financial firms leverages NLP to match cases on their CRM system to live service calls via case and subject, helping service agents provide first-call resolution quickly and efficiently to enhance customer experience and reduce time the agent spends on the line, lowering operational costs.
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12:10
Findata
Location: Capital Suite 13
Alistair Croll (Solve For Interesting)
Average rating:
(4.80, 10 ratings)
Strata chair Alistair Croll looks at the changing role of risk and insurance in the on-demand economy. Drawing from examples in car insurance and beyond, Alistair discusses how the prediction of risk and the transient engagement between workers and tasks is changing the industry—and what insurers can do to prepare for it.
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13:30
Findata
Location: Capital Suite 13
Nicolette Bullivant (Santander UK Technology)
Average rating:
(4.44, 9 ratings)
Nicolette Bullivant discusses how Santander has restructured its business around data. Join in to learn about the people, processes, and technology the organization brought together to make it a success and get practical ideas to help you start or progress along your journey with big data.
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14:00
Findata
Location: Capital Suite 13
Jan Novotny (Deutsche Bank)
Average rating:
(3.50, 6 ratings)
Machine Learning and AI are an inevitable part of any workflow, which deals with data. In this talk, I will review several Machine Learning topics, which contributes to the digitalisation of the trading floor and show how the role of quants changes in the Machine Learning era.
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14:30
Yiannis Kanellopoulos (Code4Thought)
Average rating:
(3.86, 7 ratings)
Black box algorithmic systems make decisions that have a great impact in our lives. Thus, the need for their accountability and transparency is growing. Code4Thought created an evaluation model reflecting the state of practice in several organizations. Yiannis Kanellopoulos explores this model and shares lessons learned from its application at a financial corporation.
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15:30
Romi Mahajan (Quantarium)
Average rating:
(3.57, 7 ratings)
Residential real estate is the world's largest asset class, and "dwellings" constitute the single largest purchase for most families around the globe. Still, in the world's largest residential real estate markets, the process of valuing, buying, and selling houses is byzantine, analog, and mysterious. Romi Mahajan explains why sophisticated and real-world AI is the key to democratizing value.
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16:00
Findata
Location: Capital Suite 13
Chris Taggart (OpenCorporates)
Average rating:
(3.67, 6 ratings)
Chris Taggart explains the benefits of white box data and outlines the structural shifts that are moving the data world toward it.
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16:30
Rashed Iqbal (Investment and Development Office)
Average rating:
(3.43, 7 ratings)
Despite fierce challenges, Tesla has upended not only the automotive and technology sectors but also our perception of disruption itself. Tesla and its enigmatic CEO, Elon Musk, have consistently used narratives to support their brand and market valuation. Rashed Iqbal shares a case study in the application of narrative modeling to news and social media content about Tesla since its inception.
Read more.
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