Schedule: Business & Industry sessions

Whether you work for Tesco, TV or Formula One, data helps you create new opportunities and make better decisions. Hear real-world experience and discover how to make a bigger impact in your organization.

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Location: King's Suite Level: Intermediate
Francine Bennett (Mastodon C)
Average rating: ***..
(3.93, 27 ratings)
The NHS produces an amazing amount of detailed raw data about health, prescribing, doctors, hospitals, and so on. The data's a great resource for data scientists to experiment with and learn on - it's very rich, interesting, and important to society. This session will discuss the available datasets and work through some example analyses of the data from different perspectives. Read more.
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Location: King's Suite - Balmoral Level: Intermediate
Ian Hegerty (Facebook)
Average rating: ***..
(3.67, 9 ratings)
In January Facebook launched Graph Search in the US which allows users to search their social graph. Ian Hegerty will describe how the Graph Search corpus was built from Facebook's entity graph, and how big data is used to understand users queries and provide relevant results, with minimal initial user behavioral data. Read more.
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Location: King's Suite - Balmoral Level: Non-technical
Average rating: ***..
(3.31, 16 ratings)
How Stuff Spreads looks at how two recent memes spread online: Gangnam Style vs Harlem Shake. The talk dissects the memes through the lens of big data to show what made them go viral, what do they have in common, how quantitative and qualitative analysis have to come together to craft insights and tell a story, and finally how to predict future memes and create a data-driven content strategy. Read more.
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Location: King's Suite - Balmoral Level: Non-technical
Average rating: *....
(1.58, 12 ratings)
How do we know what we know? Increasingly discoveries are made from computed data, possibly sourced from the internet. If we are to trust these discoveries, how conclusions are reached is critical. Examples from work in Big Data analytics infrastructure for life sciences and social media analysis will illustrate the key issues. Read more.
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Location: Palace Suite - Blenheim Room Level: Non-technical
Simon Everest (Government Digital Service)
Average rating: ***..
(3.00, 4 ratings)
Farmers in the UK receive subsidies via the Common Agricultural Policy. These form a significant part of their income, approx £2billion/yr total. Changes to the data driving the payments are submitted by farmers as hand drawn imagery. I'll share what the Government Digital Service has learned working with Defra, prototyping ways to capture changes that are sustainable, cheaper and more accurate. Read more.
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Location: Palace Suite - Buckingham Room Level: Intermediate
Mano Marks (Google, Inc. ), Kurt Schwehr (Google, Inc.)
Average rating: **...
(2.30, 10 ratings)
Many big data solutions focus on large data analysis that happens in data centers. Or they focus on data visualization in the browser. When you combine both of these techniques, you get amazing and expressive power. This talk will show how to use the Google Maps API with WebGL and Google Big Query, Cloud Storage, App Engine and Compute Engine to deliver amazing, responsive visualizations. Read more.
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Location: Palace Suite - Blenheim Room Level: Non-technical
Simon Williams (QuantumBlack)
Average rating: ****.
(4.33, 9 ratings)
Crossrail will help deliver a new London. It is one of the largest civil engineering projects -- taking place literally under the feet of Strata London. We'll present how data science is being deployed at Crossrail to fundamentally change the way decisions are made and the operation is being run; from the CEO to the engineers monitoring ground movement in the tunnels. Read more.
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Location: King's Suite - Sandringham Level: Non-technical
Volkmar Uhlig (Adello)
Average rating: ****.
(4.23, 13 ratings)
The value of machine-generated data is highest at the moment it is generated. Operational data, sensor data and video feeds require new automated approaches to maximize the value of these streams of data. In this session, Dr. Volkmar Uhlig will explore how to apply the lessons learned from automated high-frequency trading systems to today’s Big Data problems to monetize information. Read more.
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Location: Palace Suite - Buckingham Room Level: Non-technical
Chris Taggart (OpenCorporates)
Average rating: ***..
(3.50, 4 ratings)
Since it launched just 2 years ago, it has leveraged the open data community to grow to by far the largest open database of companies in the world with over 50 million companies in 70 jurisdictions, and is regularly used by journalists, anti-corruption investigators, civil society, even banks and financial institutions. Read more.
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Location: Palace Suite - Blenheim Room Level: Intermediate
Brett Sargent (LumaSense Technologies Inc.)
Average rating: ****.
(4.00, 1 rating)
The "smart grid" isn't just about smart meters. Every stage of our electrical power infrastructure has to be "smart," including generation, transmission and distribution. Sophisticated sensors connected to software platforms that continuously gather, visualize and analyze massive amounts of data in real time to produce actionable insights are critical to optimizing our energy assets. Read more.
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Location: Palace Suite - Blenheim Room Level: Non-technical
Alistair Croll (Solve For Interesting)
Average rating: ****.
(4.67, 15 ratings)
The Lean Startup model showed a generation of founders how to launch companies smarter and faster. At the core of this model is a constant cycle of building, measuring, and learning. In this session, we'll look at the "measure" part of this cycle, and how organizations of all sizes can use data to build a better business faster. Read more.
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Location: Palace Suite - Blenheim Room Level: Non-technical
Stephen Simpson (Independent)
Average rating: ***..
(3.40, 5 ratings)
Making data work requires that organisations define success for their company, provide clear business goals, & articulate the right business questions. The best approach to overcoming the cognitive pitfalls that lead to failing to ask the right question come from the intelligence services. This seminar outlines what they do, and suggests how to use it effectively inside a typical business. Read more.
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Location: Palace Suite - Blenheim Room Level: Non-technical
Duncan Bloor (BBC)
Average rating: ***..
(3.83, 6 ratings)
Some big organisations love the idea of using data to inform decision making but find the reality a little daunting to say the least. How are we demystifying data in the BBC and overcoming editorial fears about it lessening the view of the trusted human in making content decisions? Read more.
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Location: Palace Suite - Blenheim Room Level: Intermediate
Pascal Clarysse (TomTom)
Average rating: ****.
(4.00, 2 ratings)
Learn how hadoop is helping TomTom to make fresher maps by continuously processing the incoming GPS data and how hbase is used to present that data to an Operator Read more.
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Location: Palace Suite - Buckingham Room Level: Intermediate
Francois Mercier (mgrafit)
Average rating: **...
(2.75, 4 ratings)
To take the right decision, you need the right data. As complexity and abundance of data increase, the communication of data analysis results becomes more challenging. Grounding our talk in the pharma R&D arena, we illustrate how animated and interactive graphics can streamline communication on complex data analysis and inform decision making. Read more.
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Location: Palace Suite - Blenheim Room Level: Non-technical
Sheldon Monteiro (SapientNitro), John Cain (SapientNitro), Thomas John Mcleish (SapientNitro)
Average rating: ***..
(3.00, 2 ratings)
78% of consumers use their smartphone while shopping in-store. What are they doing? More importantly, why? For all the media buzz around showrooming – look in-store, buy online - there is little insight on the issue. SapientNitro explains how key business questions drove hypotheses, data collection using novel instruments, and insights from analytic tools for testing and interpretive analysis. Read more.

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