Put AI to Work
April 15-18, 2019
New York, NY
New York, NY
AI Business Summit
SPONSORED BY
April 15-18, 2019
New York, NY
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
Platinum pass holders have access to to AI Business Summit Mon–Thurs. Gold and Silver pass holders have access to AI Business Summit on Tues–Thurs. Bronze pass holders have access to AI Business Summit on Wed–Thurs.
| Monday April 15: 2-Day Training (Platinum & Training passes) |
|---|
| Tuesday April 16: Tutorials (Gold & Silver passes) |
|---|
| Wednesday April 17: Keynotes & Sessions (Platinum, Gold, Silver & Bronze passes) |
|---|
| 8:45am | Location: Grand Ballroom West AI Conference Keynotes |
| 10:35am | Location: Expo Hall Morning break |
| Thursday April 18: Keynotes & Sessions (Platinum, Gold, Silver & Bronze passes) |
|---|
| 8:45am | Location: Grand Ballroom West AI Conference Keynotes |
| 10:35am | Location: Expo Hall Morning break |
9:00am - 5:00pm Monday, April 15 & Tuesday, April 16
Location: Rendezvous
Secondary topics:
AI in the EnterpriseSOLD OUT
Average rating:
(2.33, 3 ratings)
Michael Li and Russ Martin offer a nontechnical overview of AI and data science. You’ll learn common techniques and how to apply them as well as common pitfalls to avoid. Along the way, you’ll pick up the language of AI and develop a framework to be able to effectively engage with technical experts and utilize their input and analysis for your business’s strategic priorities and decision making.
Read more.
9:00am–5:15pm Tuesday, April 16, 2019
Location: Sutton North
Secondary topics:
AI in the Enterprise
Kristian Hammond (Northwestern Computer Science)
Average rating:
(4.50, 8 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.
9:00am–12:30pm Tuesday, April 16, 2019
Location: Mercury Ballroom
Secondary topics:
AI in the Enterprise,
Interfaces and UX
Chris Butler (IPsoft)
Average rating:
(4.80, 5 ratings)
Purpose, a well-defined problem, and trust from people are important factors to any system, especially those that employ AI. Chris Butler leads you through exercises that borrow from the principles of design thinking to help you create more impactful solutions and better team alignment.
Read more.
1:45pm–5:15pm Tuesday, April 16, 2019
Location: Beekman
Secondary topics:
AI in the Enterprise,
Financial Services,
Media, Marketing, AdvertisingAverage rating:
(2.50, 2 ratings)
Alex Siegman and Kabir Seth walk you through the steps necessary to appropriately leverage AI in a large organization. This includes ways to identify business opportunities that lend themselves to AI as well as best practices on everything from data intake and manipulation to model selection, output analysis, development, and deployment, all while navigating a complex organizational structure.
Read more.
11:05am–11:45am Wednesday, April 17, 2019
Location: Sutton North/Center
Secondary topics:
AI case studies,
Interfaces and UX,
Media, Marketing, AdvertisingAverage rating:
(5.00, 2 ratings)
As BuzzFeed’s content production and social networks grow, curation becomes increasingly difficult. The company first built publishing tools that let people work more efficiently, then built artificial intelligence tools that let people work more intelligently. Join Lucy Wang and Swara Kantaria to learn more about this evolution.
Read more.
11:05am–11:45am Wednesday, April 17, 2019
Location: Mercury Ballroom
Secondary topics:
AI in the Enterprise,
Data and Data Networks,
Ethics, Privacy, and Security,
Health and Medicine,
Retail and e-commerce
Deepashri Varadharajan (CB Insights)
Average rating:
(3.80, 5 ratings)
CB Insights tracks over 3,000 AI startups across 25+ verticals. While every vertical has benefited from deep learning and better hardware processing, the bottlenecks and opportunities are unique to each sector. Deepashri Varadharajan explores what's driving AI applications in different verticals like healthcare, retail, and security and analyzes emerging business models.
Read more.
1:00pm–1:40pm Wednesday, April 17, 2019
Location: Mercury Ballroom
Secondary topics:
AI in the EnterpriseAverage rating:
(2.44, 9 ratings)
Larry Carin, one of the world’s most published machine learning researchers, discusses the state of the art in machine learning and how it translates to business impact. Along the way, Larry shares examples of how modern machine learning is transforming business in several sectors, including healthcare delivery, security, and back-office business processing.
Read more.
1:50pm–2:30pm Wednesday, April 17, 2019
Location: Sutton North/Center
Secondary topics:
AI case studies,
Text, Language, and Speech
David Talby (Pacific AI)
Average rating:
(3.00, 3 ratings)
New AI solutions in question answering, chatbots, structured data extraction, text generation, and inference all require deep understanding of the nuances of human language. David Talby shares challenges, risks, and best practices for building NLU-based systems, drawing on examples and case studies from products and services built by Fortune 500 companies and startups over the past seven years.
Read more.
1:50pm–2:30pm Wednesday, April 17, 2019
Location: Mercury Ballroom
Secondary topics:
Ethics, Privacy, and Security,
Financial Services,
Health and Medicine,
Reliability and Safety
Anand Rao (PwC)
Average rating:
(4.00, 4 ratings)
Broader AI adoption and gaining trust from customers requires AI systems to be fair, interpretable, robust, and safe. Anand Rao synthesizes the current research in FAT (fairness, accountability, and transparency) into a step-by-step methodology to address these issues—illustrated with case studies from the financial services and healthcare industries.
Read more.
2:40pm–3:20pm Wednesday, April 17, 2019
Location: Sutton North/Center
Secondary topics:
AI case studies,
Financial ServicesAverage rating:
(5.00, 2 ratings)
Andrew Chin and Celia Chen offer an overview of data science applications within the asset management industry, covering use cases on using ML to derive better investment insights and improve client engagement.
Read more.
2:40pm–3:20pm Wednesday, April 17, 2019
Location: Mercury Ballroom
Secondary topics:
AI in the Enterprise,
Ethics, Privacy, and Security
Anna Gressel (Debevoise & Plimpton LLP),
Jim Pastore (Debevoise & Plimpton LLP),
Anwesa Paul (American Express)
Average rating:
(5.00, 2 ratings)
Anna Gressel, Jim Pastore, and Anwesa Paul lead a crash course on the emerging legal and regulatory frameworks governing AI, including GDPR and the California Consumer Privacy Act. They also explore key lawsuits challenging AI in US courts and unpack the implications for companies going forward, helping you mitigate legal and regulatory risks and position your AI products for success.
Read more.
4:05pm–4:45pm Wednesday, April 17, 2019
Location: Sutton North/Center
Secondary topics:
AI case studies,
AI in the Enterprise,
Financial Services,
Text, Language, and Speech
Using AI to combat financial crime is more than strong fraud detection models monitoring transactions. Banks follow significant anti-money laundering (AML) and "know your customer" (KYC) laws and procedures, wrought with growth chained to cost and requiring auditable automation. Kyle Hoback walks you through a series of case studies that utilize AI-powered RPA that address AML and KYC.
Read more.
4:05pm–4:45pm Wednesday, April 17, 2019
Location: Mercury Ballroom
Secondary topics:
AI in the Enterprise,
Automation in machine learning and AI,
Platforms and infrastructure
Sarah Aerni (Salesforce Einstein)
Average rating:
(5.00, 1 rating)
How does Salesforce make data science an Agile partner to over 100,000 customers? Sarah Aerni shares the nuts and bolts of the platform and details the Agile process behind it. From open source autoML library TransmogrifAI and experimentation to deployment and monitoring, Sarah covers the tools that make it possible for data scientists to rapidly iterate and adopt a truly Agile methodology.
Read more.
4:55pm–5:35pm Wednesday, April 17, 2019
Location: Sutton North/Center
Secondary topics:
AI case studies,
Automation in machine learning and AI,
Financial Services,
Platforms and infrastructureAverage rating:
(2.00, 1 rating)
Companies are increasingly building modeling platforms to empower their researchers to efficiently scale the development and productionalization of their models. Scott Clark and Matt Greenwood share a case study from a leading algorithmic trading firm to illustrate best practices for building these types of platforms in any industry.
Read more.
4:55pm–5:35pm Wednesday, April 17, 2019
Location: Mercury Ballroom
Secondary topics:
Financial Services
Angelo Calvello (Rosetta Analytics)
Average rating:
(5.00, 1 rating)
Angelo Calvello explains why asset managers will inevitably (but slowly and haltingly) incorporate AI into their investment processes in a meaningful manner and argues that this incorporation could be accelerated by the entrance of an external AI-based actor or the success of AI-based investment startups.
Read more.
11:05am–11:45am Thursday, April 18, 2019
Location: Sutton North/Center
Adam Cheyer (Samsung)
Average rating:
(4.50, 2 ratings)
We're entering a new age of software development, where humans and machines work collaboratively together, each doing what they do best. Adam Cheyer offers an overview of a freely downloadable development environment so that you can give this a try yourself and start monetizing your content and services through a new channel that will be backed by more than a billion devices in just a few years.
Read more.
11:05am–11:45am Thursday, April 18, 2019
Location: Mercury Ballroom
Secondary topics:
Data and Data Networks
Thomas Marlow (Black Hills IP)
Average rating:
(5.00, 1 rating)
Three elements will control the AI market: technology, data, and IP rights. Leveraging rich patent data, Thomas Marlow uncovers the companies with the top patent holdings across the world in groundbreaking research and implementation technologies, surfacing insights into the sources and owners of AI technology as well as the hurdles and opportunities that those entering the field today face.
Read more.
1:00pm–1:40pm Thursday, April 18, 2019
Location: Sutton North/Center
Secondary topics:
Ethics, Privacy, and Security
Joanna Bryson (University of Bath)
Although not a universally held goal, maintaining human-centric artificial intelligence is necessary for society’s long-term stability. Joanna Bryson discusses why this is so and explores both the technological and policy mechanisms by which it can be achieved.
Read more.
1:00pm–1:40pm Thursday, April 18, 2019
Location: Mercury Ballroom
Secondary topics:
AI in the Enterprise
Vinay Mohta (Manifold)
Average rating:
(4.00, 4 ratings)
The significant hype bubble building up around AI has convinced many executives that if they’re not already tech savvy, they might not be ready for AI’s “transformative power.” However, the reality is that AI is just another tool that can help your business, and you’re probably not that far behind. Vinay Seth Mohta explains how to evaluate AI as you would any other strategic investment.
Read more.
1:50pm–2:30pm Thursday, April 18, 2019
Location: Sutton North/Center
Secondary topics:
AI case studies,
Computer Vision,
Health and MedicineAverage rating:
(5.00, 1 rating)
There's significant interest in applying deep learning-based solutions to problems in medicine and healthcare. Eric Oermann and Katie Link identify actionable medical problems, recast them as tractable deep learning problems, and discuss techniques to solve them.
Read more.
1:50pm–2:30pm Thursday, April 18, 2019
Location: Mercury Ballroom
Jana Eggers (Nara Logics)
Average rating:
(4.67, 3 ratings)
Jana Eggers explores explainability and transparency as both required and unachievable goals for AI, with a focus on helping teams structure discussions about levels of explainability possible and needed for both user trust and regulatory requirements.
Read more.
2:40pm–3:20pm Thursday, April 18, 2019
Location: Sutton North/Center
Secondary topics:
AI case studies,
Computer Vision,
Health and Medicine
Clinical radiology currently faces several clinical issues: improving imaging efficiency, reducing risks, and developing higher imaging quality. Enhao Gong and Greg Zaharchuk explain how Subtle Medical's deep learning/AI solution addresses these problems by enabling faster MRI and faster PET and low-dose scans, providing real clinical and financial benefit to hospitals.
Read more.
2:40pm–3:20pm Thursday, April 18, 2019
Location: Mercury Ballroom
Average rating:
(4.80, 5 ratings)
Hilary Mason shares a process for repeatedly creating effective AI products, from idea through process to specific design considerations, and explains how architecture and algorithmic choices can support or hinder this process.
Read more.
4:05pm–4:45pm Thursday, April 18, 2019
Location: Sutton North/Center
Secondary topics:
AI case studies,
Data and Data Networks,
Text, Language, and Speech
Tammy Bilitzky (DCL)
Tammy Bilitzky shares a case study that details lights-out automation and explains how DCL uses AI to transform massive volumes of confidential disparate data into searchable and structured information. Along the way, she outlines considerations for architecting a solution that processes a continuous flow of 5M+ “pages” of complex work units.
Read more.
4:05pm–4:45pm Thursday, April 18, 2019
Location: Mercury Ballroom
Secondary topics:
AI in the Enterprise,
Automation in machine learning and AI,
Data and Data Networks
Paco Nathan (derwen.ai)
Average rating:
(4.33, 3 ratings)
Effective data governance is foundational for AI adoption in enterprise, but it's an almost overwhelming topic. Paco Nathan offers an overview of its history, themes, tools, process, standards, and more. Join in to learn what impact machine learning has on data governance and vice versa.
Read more.
4:55pm–5:35pm Thursday, April 18, 2019
Location: Sutton North/Center
Sheldon Fernandez (DarwinAI)
Sheldon Fernandez draws on his degrees in both engineering and theology to separate fact from fad in ensuring that artificial systems behave ethically.
Read more.
4:55pm–5:35pm Thursday, April 18, 2019
Location: Mercury Ballroom
Secondary topics:
Edge computing and Hardware
Jennifer Fernick (NCC Group )
Quantum computers will enable us to efficiently compute things never thought possible, but how will this impact artificial intelligence? Jennifer Fernick explains how to filter signal from noise in discussions surrounding quantum machine learning by exploring how quantum computers work, what types of AI problems they may be good at, and which industries and use cases will (and won't) benefit.
Read more.
Presented by
Elite Sponsors
Strategic Sponsors
Contributing Sponsors
Business Summit Sponsor
Exabyte Sponsors
Diversity and Inclusion Sponsor
Impact Sponsors
Community Partners
Sponsorship Opportunities
For exhibition and sponsorship opportunities, email aisponsorships@oreilly.com
Partner Opportunities
For information on trade opportunities with O'Reilly conferences, email partners@oreilly.com
Contact Us
View a complete list of AI contacts
Twitter
Facebook
LinkedIn
YouTube©2019, O'Reilly Media, Inc. • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • confreg@oreilly.com