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

AI Business Summit

9-11 October 2018
London, UK

AI Business Summit

AI will have enormous impact on your business.
Don’t get left behind.

Designed specifically for executives, business leaders, and strategists, the AI Business Summit provides concise, high-level executive briefings on the most promising and important developments in AI for business.

You'll get an insider’s look at the AI implementations that will have the most profound impact on your business. Advice on how to mitigate risk and out-innovate your competitors. Detailed case studies of successful AI projects.

You have critical—and urgent—decisions to make about your AI strategy. Get the insight you need at the AI Business Summit.

Featured Speakers

Gold and Silver pass holders have access to AI Business Summit on Tues–Thurs. Platinum and Bronze pass holders have access to AI Business Summit on Wed–Thurs.

Monday-Tuesday 8-9 Oct: 2-Day Training (Platinum & Training passes)
Tuesday 9 Oct: Tutorials (Gold & Silver passes)
Wednesday 10 Oct: Keynotes & Sessions (Platinum, Gold, Silver & Bronze passes)
9:00 | Location: King's Suite
AI Conference Keynotes
10:35
Morning break
Thursday 11 Oct: Keynotes & Sessions (Platinum, Gold, Silver & Bronze passes)
9:00 | Location: King's Suite
AI Conference Keynotes
10:35
Morning break
9:00–17:00 Tuesday, 9 October 2018
Location: King's Suite - Balmoral
Secondary topics:  AI in the Enterprise
Kristian Hammond (Northwestern Computer Science)
Average rating: ****.
(4.50, 2 ratings)
Even as AI technologies move into common use, many enterprise decision makers remain baffled about what the different technologies actually do and how they can be integrated into their businesses. Rather than focusing on the technologies alone, Kristian Hammond provides a practical framework for understanding your role in problem solving and decision making. Read more.
11:05–11:45 Wednesday, 10 October 2018
Location: Blenheim Room - Palace Suite
Secondary topics:  AI in the Enterprise, Financial Services
Ashok Srivastava (Intuit)
Ashok Srivastava explains how to make your organization AI ready, determine the right AI applications for your business and products, and accelerate your AI efforts with speed and scale. Read more.
11:05–11:45 Wednesday, 10 October 2018
Location: Park Suite
Secondary topics:  AI in the Enterprise
Francesca Lazzeri (Microsoft), Jaya Susan Mathew (Microsoft)
With the growing buzz around data science, many professionals want to learn how to become a data scientist—the role Harvard Business Review called the "sexiest job of the 21st century." Francesca Lazzeri and Jaya Mathew explain what it takes to become a data scientist and how artificial intelligence solutions have started to reinvent businesses. Read more.
11:55–12:35 Wednesday, 10 October 2018
Location: Blenheim Room - Palace Suite
Secondary topics:  AI in the Enterprise
Paco Nathan (derwen.ai)
Deep learning works well when you have large labeled datasets, but not every team has those assets. Paco Nathan offers an overview of active learning, an ML variant that incorporates human-in-the-loop computing. Active learning focuses input from human experts, leveraging intelligence already in the system, and provides systematic ways to explore and exploit uncertainty in your data. Read more.
11:55–12:35 Wednesday, 10 October 2018
Location: Park Suite
Secondary topics:  Financial Services
Christine Foster (The Alan Turing Institute), Rakshit Kapoor (HSBC)
In 2016, the Alan Turing Institute, the UK’s new national institute for data science and AI, announced a funded strategic multiyear research partnership with HSBC. Christine Foster and Rakshit Kapoor share insights and use cases that emerged while making this ambitious and innovative cross-sector partnership work. Read more.
13:45–14:25 Wednesday, 10 October 2018
Location: Blenheim Room - Palace Suite
Secondary topics:  AI in the Enterprise
Diego Saenz (Accenture)
What do the world's most innovative and fastest growing companies have in common? They are in industries with a high level of VC funding. Accenture has analyzed five years of VC investment data to discover the AI use cases and technologies that are attracting the most money and will drive enterprise AI innovation. Diego Saenz explains where the top 10 investors in AI are placing big bets. Read more.
13:45–14:25 Wednesday, 10 October 2018
Location: Park Suite
Secondary topics:  Financial Services
Martin Goodson (Evolution AI), Mark Qualter (RBS)
Martin Goodson and Mark St. John Qualter share the results of a yearlong feasibility study on the introduction of AI into the onboarding process at the Royal Bank of Scotland (RBS). Along the way, Martin and Mark share their experiences in translating this complex business process into a high-performance computational system. Read more.
14:35–15:15 Wednesday, 10 October 2018
Location: Blenheim Room - Palace Suite
Secondary topics:  AI in the Enterprise
Mariya Yao (Metamaven)
Executives are being asked to "innovate with AI,” but the barriers to successful adoption for most enterprises are organizational, not technical. Mariya Yao explains why effective application of AI requires extended interdisciplinary coordination between executive and functional teams, investments in retraining your workforce, and the cultivation of an open, experimental, data-driven culture. Read more.
14:35–15:15 Wednesday, 10 October 2018
Location: Park Suite
Secondary topics:  Financial Services, Retail and e-commerce
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.
16:00–16:40 Wednesday, 10 October 2018
Location: Blenheim Room - Palace Suite
Secondary topics:  Computer Vision, Data Networks and Data Markets
Daeil Kim (AI.Reverie)
Daeil Kim delineates the advantages of synthetic data and explains how to avoid traps that lead to dead zones and false positives. He also reviews work on simulations for synthetic data in application verticals in which it is traditionally difficult to manually acquire significant datasets. Read more.
16:00–16:40 Wednesday, 10 October 2018
Location: Park Suite
Secondary topics:  Interfaces and UX
Alice Zimmermann (Google)
Average rating: ***..
(3.00, 1 rating)
Fueled by the growth of messaging apps, conversational interfaces are quickly becoming an essential component of every service and product. Join Alice Zimmermann to learn how Google approaches the emerging UX challenges in its conversational agent platform. Along the way, Alice discusses the opportunities in this space and the future of conversation agents. Read more.
16:50–17:30 Wednesday, 10 October 2018
Location: Blenheim Room - Palace Suite
Secondary topics:  AI in the Enterprise
Simon Greenman (Best Practice AI)
We're experiencing an AI gold rush. Tech giants, corporations, startups, and governments are investing billions, and headlines about AI have reached fever pitch. It's dizzying to keep track of the latest AI developments and claims. Join Simon Greenman to learn who can and who will make money in this gold rush—and who will become economic casualties along the way. Read more.
9:05–9:15 Thursday, 11 October 2018
Location: King's Suite
Kristian Hammond (Northwestern Computer Science)
Kristian Hammond walks you through an approach to bring AI into the enterprise, based on the functional, business aspects of AI technologies. Kristian maps out simple rules, useful metrics, and where AI should live in the org chart, laying out the route you should follow to make good on the promise of the technologies of intelligence. Read more.
11:05–11:45 Thursday, 11 October 2018
Location: Blenheim Room - Palace Suite
Secondary topics:  Ethics, Privacy, and Security
Susan Etlinger (Altimeter Group)
Average rating: *****
(5.00, 2 ratings)
Susan Etlinger explores how AI fundamentally changes the relationship between people and businesses, lays out its risks and opportunities, and demonstrates emerging best practices for designing customer-centric and ethical products and services. Read more.
11:05–11:45 Thursday, 11 October 2018
Location: Park Suite
Secondary topics:  Computer Vision, Ethics, Privacy, and Security
Marc Warner (ASI)
Average rating: ****.
(4.00, 1 rating)
How can AI impact national security? Collaborating with the UK Home Office Counterterrorism Unit, ASI Data Science built a tool that removes extremist propaganda from the web. Drawing on this experience, Marc Warner discusses the role of AI in the fight against terror and explains how shared access to this technology may be part of the answer. Read more.
11:55–12:35 Thursday, 11 October 2018
Location: Blenheim Room - Palace Suite
Secondary topics:  Ethics, Privacy, and Security, Interfaces and UX
Max Gadney (After the flood), Sabih Ali (After the Flood)
Max Gadney and Sabih Ali explore some of the ways designers and product teams are designing systems with transparency, trust, and privacy in mind. Read more.
11:55–12:35 Thursday, 11 October 2018
Location: Park Suite
Secondary topics:  Deep Learning models, Platforms and infrastructure
The common perception of applying deep learning is that you take an open source or research model, train it on raw data, and deploy the result as a fully self-contained artifact. The reality is far more complex. Nick Pentreath shares lessons learned building a deep learning model exchange and discusses the future of standardized cross-framework deep learning model training and deployment. Read more.
13:45–14:25 Thursday, 11 October 2018
Location: Blenheim Room - Palace Suite
Secondary topics:  AI in the Enterprise
AI is a key innovation accelerator for digital business transformation. To help you with your strategic roadmap, Philip Carnelley shares IDC's research into the AI market across hundreds of European organizations and explains why organizations should establish a digital platform based on big data, AI, and cloud technologies, with an intelligent core, as part of their transformation strategy. Read more.
13:45–14:25 Thursday, 11 October 2018
Location: Park Suite
Chris Boyd (The Wall Street Journal), John Wiley (The Wall Street Journal)
Chris Boyd and John Wiley explain how the Wall Street Journal uses machine learning and a proprietary algorithm to predict the likelihood for someone subscribing, which in turn dictates the paywall experience that customer receives. Read more.
14:35–15:15 Thursday, 11 October 2018
Location: Blenheim Room - Palace Suite
Secondary topics:  Media, Marketing, Advertising, Retail and e-commerce
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.
14:35–15:15 Thursday, 11 October 2018
Location: Park Suite
Secondary topics:  Ethics, Privacy, and Security
Aileen Nielsen (Skillman Consulting)
We're in the year of the AI fake out. "Fake news" is the order of the day, as nebulous chatbots have become significant political actors. Startups peddle robotically handwritten notes and algorithmically personalized gifts for our loved ones. Soon we won't even be able to tell if a customer service agent is a real person. Aileen Nielsen asks, How should we redefine intelligence as fakes flourish? Read more.
16:00–16:40 Thursday, 11 October 2018
Location: Blenheim Room - Palace Suite
Secondary topics:  Ethics, Privacy, and Security, Interfaces and UX
Marie Johnson (Centre for Digital Business Pty Ltd)
What does a workforce augmented by digital humans look like? Marie Johnson shares the story of the creation of Nadia, the world’s first digital human for service delivery. Drawing on her experience developing the concept and leading the delivery, Marie presents a framework to help leaders meet exponential changes across industries augmented by digital humans, including healthcare. Read more.
16:00–16:40 Thursday, 11 October 2018
Location: Park Suite
Secondary topics:  Temporal data and time-series
Ira Cohen (Anodot)
With the more applications of machine learning-based applications, the complex algorithms that automate behaviors can get out of control. Ira Cohen explains how to catch problems and glitches early on by using machine learning algorithms to monitor these algorithms for anomalous behavior. Read more.
16:50–17:30 Thursday, 11 October 2018
Location: Blenheim Room - Palace Suite
Secondary topics:  AI in the Enterprise
Benjamin Wright-Jones (Microsoft), Simon Lidberg (Microsoft)
As organizations turn to data-driven strategies, there's been increasing interest in creating AI centers of excellence (COEs). Benjamin Wright-Jones and Simon Lidberg take you through the building blocks of a center of excellence and describe the value for organizations embarking on data-driven strategies. Read more.