Schedule: Data-Driven Business sessions

Location: 118-119.
Simon Wardley (Leading Edge Forum)
Average rating: ****.
(4.64, 14 ratings)
Big Data in a time of wonder and disruption. Industry is going through upheaval and Big data is having an impact. In some cases it threatens industries, in other cases it promotes new ways of working and new opportunities. In this track we will explore these themes. Read more.
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Location: 118-119
Average rating: ****.
(4.14, 7 ratings)
In a day of thought-provoking presentations and fast-paced panels, we’ll tackle how big data is challenging some of the underlying models of business strategy. Read more.
Location: 118-119.
Liam Maxwell (HM Government)
Average rating: ****.
(4.11, 9 ratings)
Liam Maxwell will share insights and details of the progress government has made in turning around technology in government from something that was a by-word for terrible to something which will deliver great digital services. Read more.
Location: 118-119.
Edd Wilder-James (Google)
Average rating: **...
(2.75, 8 ratings)
Creating value from data needs a new mindset. To fully exploit new big data tools and architectures, we need a new way of thinking: data as the raw material of growth. Unfortunately, the way industry typically thinks about data is exactly the opposite: controlling and governing. This talk will show how to rewire your company's brain and think about data in a different light. Read more.
Location: 118-119.
Average rating: **...
(2.67, 3 ratings)
Break located in P1 Foyer Read more.
Location: 118-119.
Francine Bennett (Mastodon C)
Average rating: ***..
(3.12, 8 ratings)
Exploiting big data and analytics through the whole organization is now business as usual for retail and online businesses. But cities and buildings also create a whole lot of data. The way that our places and spaces operate and are managed affects millions of lives. And intelligent use of data in cities and buildings isn’t yet routine. Why not? This talk explores what’s happening right now in... Read more.
Location: 118-119.
Average rating: ****.
(4.00, 1 rating)
Speakers will discuss the morning's content, and will take time for Q&A. Read more.
Location: 118-119.
Roger Magoulas (O'Reilly Media), r0ml Lefkowitz (Retired)
Average rating: ***..
(3.70, 10 ratings)
Roger Magoulas, Research Director, O'Reilly Media, and Robert "r0ml" Lefkowitz, CTO, Sharewave, debate. Read more.
Location: 118-119.
Sharon Biggar (Social Point)
Average rating: ***..
(3.50, 8 ratings)
Sharon Biggar, Head of Analytics, Social Point Read more.
Location: 118-119.
Lunch is located in rooms 114, 115, 116 Read more.
Location: 118-119.
Vince Darley (King Digital Entertainment)
Average rating: ****.
(4.80, 10 ratings)
Vince will look at how we manage, use and draw insight from 10-20 billion data points a day to improve our games for a network of 350+ million monthly players. Read more.
Location: 118-119.
Amy Heineike (Primer)
Average rating: ****.
(4.00, 10 ratings)
*Moving from the Tactical to the Strategic: Why Visualization Lets Us Move Beyond Optimization* Most big data applications are for tactical uses - they help us optimize our products, our marketing and our operations. Many of the most complex and biggest strategic questions, however, require taking a leap ahead - investing in new technologies or creating new narratives around our products... Read more.
Location: 118-119.
Mounia Lalmas (Spotify)
Average rating: ***..
(3.60, 10 ratings)
This talk will present various efforts aiming at combining approaches to measure engagement and seeking to provide insights into what questions to ask when measuring engagement. A particular focus will be the role of Big Data in measuring user engagement, and what these measurements can tell us and not tell us. Read more.
Location: 118-119.
Speakers recap the days content, and take time for Q&A. Read more.
Location: 118-119.
Foster Provost ( NYU | Stern )
Average rating: ****.
(4.00, 8 ratings)
For predictive analytics, a major source of the value of big data comes from incorporating massive, fine-grained data. We see this in applications ranging from analyzing banking customers to fraud detection to online ad targeting to finding similar users on their mobile devices to predicting people's personality traits from Facebook Likes...and more. Read more.
Location: 118-119.
Steven Willmott (3scale networks)
Average rating: ***..
(3.38, 8 ratings)
Data and the inferences which can be drawn from it have been crucial to success for organizations today. For this data to be useful however, it needs to reach its intended audience in a timely and well structured fashion. Read more.
Location: 118-119.
carme artigas (Synergic Partners)
Average rating: ****.
(4.25, 12 ratings)
The first step most organizations need to take to realize the benefits of big data is to invest in a new solution infrastructure. The decision process is not simple: CAPEX vs. OPEX, on-premise vs. on cloud, reutilize existing DWH&BI investments vs start from scratch, purpose-built appliances vs. open-source distributions. Read more.
Location: 118-119.
Marcelo Soria-Rodriguez (BBVA Data & Analytics)
Average rating: ****.
(4.17, 6 ratings)
Data will save the world. Or not. This is a story on focusing on what’s important, after all, about data. That Read more.