Put AI to Work
April 15-18, 2019
New York, NY

Schedule: AI in the Enterprise sessions

9:00am - 5:00pm Monday, April 15 & Tuesday, April 16
AI Business Summit
Location: Rendezvous
Michael Li (The Data Incubator), Russell Martin (The Data Incubator)
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.
9:00am12:30pm Tuesday, April 16, 2019
AI Business Summit
Location: Mercury Ballroom
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.
9:00am5:15pm Tuesday, April 16, 2019
AI Business Summit
Location: Sutton North
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.
1:45pm5:15pm Tuesday, April 16, 2019
AI Business Summit
Location: Beekman
Alex Siegman (Dow Jones), Kabir Seth (Wall Street Journal)
Average 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.
11:05am11:45am Wednesday, April 17, 2019
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.
1:00pm1:40pm Wednesday, April 17, 2019
Larry Carin (Infinia ML), Michael Eagan (Korn Ferry)
Average 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.
1:50pm2:30pm Wednesday, April 17, 2019
Case Studies, Machine Learning
Location: Sutton South
Maryam Jahanshahi (TapRecruit)
Average rating: *****
(5.00, 6 ratings)
Word embeddings such as word2vec have revolutionized language modeling. Maryam Jahanshahi discusses exponential family embeddings, which apply probabilistic embedding models to other data types. Join in to learn how TapRecruit implemented a dynamic embedding model to understand how tech skill sets have changed over three years. Read more.
2:40pm3:20pm Wednesday, April 17, 2019
Implementing AI
Location: Rendezvous
Sumeet Vij (Booz Allen Hamilton), Matt Speck (Booz Allen Hamilton)
Average rating: ***..
(3.50, 2 ratings)
Sumeet Vij and Matt Speck showcase an innovative application of deep learning to power cognitive conversational agents. You'll learn how chatbots can overcome the limitations of limited training datasets by leveraging transfer learning and deep pretrained models for NLP and how machine learning can advance robotic process automation (RPA) from “robotic” to “cognitive” automation. Read more.
2:40pm3:20pm Wednesday, April 17, 2019
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.
4:05pm4:45pm Wednesday, April 17, 2019
AI Business Summit, Case Studies
Location: Sutton North/Center
Kyle Hoback (WorkFusion), James Lawson (WorkFusion)
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.
4:05pm4:45pm Wednesday, April 17, 2019
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.
11:05am11:45am Thursday, April 18, 2019
Implementing AI
Location: Rendezvous
Diego Oppenheimer (Algorithmia), Brendan Collins (Algorithmia)
Average rating: ****.
(4.00, 1 rating)
Diego Oppenheimer draws upon his work with thousands of developers across hundreds of organizations to discuss the tools and processes every business needs to automate model deployment and management so they can optimize model performance, control compute costs, maintain governance, and keep data scientists doing data science. Read more.
1:00pm1:40pm Thursday, April 18, 2019
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.
4:05pm4:45pm Thursday, April 18, 2019
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.
4:55pm5:35pm Thursday, April 18, 2019
Machine Learning, Models and Methods
Location: Grand Ballroom West
Maja Vukovic (IBM)
AI planning offers an opportunity to drive reasoning about action trajectories to help build automation. Maja Vukovic demos an application of AI planning for the migration of legacy infrastructure to the cloud, based on real-world examples and data, and discusses challenges in adopting AI planning solutions in the enterprise. Read more.