Sep 9–12, 2019

AI Business Summit

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

Monday-Tuesday 9-10 September: 2-Day Training (Platinum & Training passes)
Tuesday, September 10: Tutorials (Gold & Silver passes)
Wednesday, September 11: Keynotes & Sessions (Platinum, Gold, Silver & Bronze passes)
9:00 | Location: Auditorium
AI Conference Keynotes
10:45
Morning break
Thursday, September 12: Keynotes & Sessions (Platinum, Gold, Silver & Bronze passes)
9:00 | Location: Auditorium
AI Conference Keynotes
10:45
Morning break
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9:00am - 5:00pm Monday, September 9 & Tuesday, September 10
Location: Market
Secondary topics:  Ethics, Security, and Privacy
Nicholas Cifuentes-Goodbody (The Data Incubator)
Dylan Bargteil and Michael Li lead you through a nontechnical overview of AI and data science. You’ll learn common techniques, how to apply them in your organization, and common pitfalls. You’ll pick up the language and develop a framework to be able to effectively engage with technical experts and use their input and analysis for your business’s strategic priorities and decision making. Read more.
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9:00am12:30pm Tuesday, September 10, 2019
Location: 230 B
Secondary topics:  Machine Learning
Ira Cohen (Anodot)
While the role of the manager doesn't require deep knowledge of ML algorithms, it does require understanding how ML-based products should be developed. Ira Cohen explores what it takes to manage ML-based products, the cycle of developing ML-based capabilities (or entire products), and the role of the (product) manager in each step of the cycle. Read more.
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9:00am5:00pm Tuesday, September 10, 2019
Location: 230 C
Kristian Hammond (Northwestern Computer Science)
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.
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1:30pm5:00pm Tuesday, September 10, 2019
Location: 230 B
Chris Butler (IPsoft)
Purpose, a well-defined problem, and trust 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.
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11:05am11:45am Wednesday, September 11, 2019
Location: LL21 A/B
mayukh bhaowal (Salesforce)
AI product managers (PMs) are rising. With the shift from the digital revolution to the AI revolution, the old product management workflow and frameworks are crumbling down. Mayukh Bhaowal explores new ways to manage AI products and outlines how AI executive roles are different and what toolbox you'll need to succeed in the era of artificial intelligence. Read more.
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11:05am11:45am Wednesday, September 11, 2019
Location: 230 B
Enhao Gong (Subtle Medical), Greg Zaharchuk (Stanford University)
Enhao Gong and Greg Zaharchuk detail AI solutions, cleared by the FDA and powered by industry framework, that deliver 4x–10x faster MRI scans, 4x faster PET scans, and up to 10x dosage reduction. Clinical evaluation at hospitals such as Hoag Hospital, UCSF, and Stanford demonstrates the significant and immediate values of AI to improve the productivity of healthcare workflow. Read more.
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11:55am12:35pm Wednesday, September 11, 2019
Location: LL21 A/B
Michael Chui (McKinsey Global Institute), James Manyika (McKinsey & Company)
AI has the potential to create substantial value for business and the global economy. It's less well understood how it can address some of the world’s biggest societal challenges. Michael Chui and James Manyika examine the ethical implications of AI and how you can leverage the technology for good while considering the wide-reaching repercussions on business and human society alike. Read more.
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11:55am12:35pm Wednesday, September 11, 2019
Location: 230 B
Secondary topics:  Design, Interfaces, and UX
Bahman Bahmani (Rakuten)
Developments in ML and DL provided remarkable advances in the predictive capabilities of AI. However, the black box nature of the modern models creates challenges for those looking to adopt these techniques. Bahman Bahmani examines a framework and presents design and operating principles, recommendations, and best practices for human-AI integration in enterprise workflows, products, and services. Read more.
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1:45pm2:25pm Wednesday, September 11, 2019
Location: LL21 A/B
Yi Zhang (Rulai | University of California, Santa Cruz)
Consumers want everything now, at their fingertips, with very little effort. To meet these demands and compete, companies need to fundamentally rethink how they operate. Yi Zhang explores some predictions on how conversational technology will evolve from its current state in 2019. She outlines some common misunderstandings about the technologies and provides case studies from several industries. Read more.
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2:35pm3:15pm Wednesday, September 11, 2019
Location: LL21 A/B
Secondary topics:  Machine Learning
Peter Bailis (Sisu Data | Stanford University)
Despite a meteoric rise in data volumes within modern enterprises, enabling nontechnical users to put this data to work in diagnostic and predictive tasks remains a fundamental challenge. Peter Bailis details the lessons learned in building new systems to help users leverage the data at their disposal, drawing on production experience from Facebook, Microsoft, and the Stanford DAWN project. Read more.
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2:35pm3:15pm Wednesday, September 11, 2019
Location: 230 B
Bastiane Huang (OSARO)
Machine learning has enabled the move from manually programming robots to allowing machines to learn and adapt to changes in the environment. Bastiane Huang examines how AI-enabled robots are used in warehouse automation, including recent progress in deep reinforcement learning, imitation learning, and real world requirements for various industrial problems. Read more.
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4:00pm4:40pm Wednesday, September 11, 2019
Location: LL21 A/B
Jana Eggers (Nara Logics)
Though Nara Logics doesn't always follow them, it has developed great best practices for designing, developing, and delivering great software. Jana Eggers is here to explore what happens when you start adding AI to great software by covering six key features of software development that are similar when adding AI, six that are different, and how to adjust. Read more.
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4:00pm4:40pm Wednesday, September 11, 2019
Location: 230 B
Dexter Hadley (University of California, San Francisco)
Typically, large healthcare institutions have large-scale quantities of clinical data to facilitate precision medicine through an AI paradigm. However, this hardly translates into improved care. Dexter Hadley details how UCSF uses NLP to curate clinical data for over 1M mammograms and how deep learning, blockchain, and other approaches translates this into precision oncology. Read more.
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4:50pm5:30pm Wednesday, September 11, 2019
Location: LL21 A/B
Mazin Gilbert (AT&T Research)
5G promises to change our lives in a big way. Mazin Gilbert provides a technical- and market-landscape overview of how AI creates the 5G world, highlighting how recent developments in AI help accelerate widespread adoption of 5G-based applications for consumers and enterprises. He explores the roles of open source and open platforms as key ingredients of this 5G AI transformation. Read more.
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4:50pm5:30pm Wednesday, September 11, 2019
Location: 230 B
Juby Jose (Intel), Rohit Israni (Intel)
Across segments, enterprises are exploring novel ways of providing stellar customer service. Conversational AI is delivering just that—high-quality customer service, available 24-7, and in a geography-agnostic manner. Juby Jose and Rohit Israni explore how enterprise customer service is being reimagined with the power of conversational AI. Read more.
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11:05am11:45am Thursday, September 12, 2019
Location: LL21 A/B
Secondary topics:  Text, Language, and Speech
David Talby (Pacific AI)
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 outlines 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.
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11:05am11:45am Thursday, September 12, 2019
Location: 230 B
Danny Lange (Unity Technologies)
This year, Unity introduced Obstacle Tower, a procedurally generated game environment designed to test the capabilities of AI-trained agents. Then, they invited the public to try to solve the challenge. Danny Lange reveals what Unity learned from the contest and the real-world impact of observing the behaviors of multiple AI agents in a simulated virtual environment. Read more.
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11:55am12:35pm Thursday, September 12, 2019
Location: LL21 A/B
Secondary topics:  Ethics, Security, and Privacy
Raj Minhas (PARC, a Xerox Company)
The use of AI is growing rapidly and expanding into applications that impact people’s lives. Raj Minhas explores how, while researchers are driven by enthusiasm to harness the power of AI, they also have an obligation to consider the impact of intelligent applications. Read more.
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11:55am12:35pm Thursday, September 12, 2019
Location: 230 B
Madhura Dudhgaonkar details lessons learned from productizing enterprise ML services across vision, language, recommendations, and anomaly detection over the last 5+ years. You'll walk away with an actionable framework to bootstrap and scale a machine learning function via a real product journey, involving deep learning that was productized in record speed, in spite of having no dataset. Read more.
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1:45pm2:25pm Thursday, September 12, 2019
Location: LL21 A/B
Yael Gozin (Pfizer)
The size and the complexity of regulatory submissions to health authorities consistently increases, ut the process hasn't changed. The process of matching and verifying a data point in a table cell with its accurate source(s) is one of the main challenges of automating data quality checks. Yael Gozin details an an innovative, highly accurate, and efficient structured data verification method. Read more.
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1:45pm2:25pm Thursday, September 12, 2019
Location: 230 B
Secondary topics:  Ethics, Security, and Privacy
Eloy Avila (Darktrace)
While nearly every firm is impacted by a wide variety of external factors, the most robust businesses recognize the need to first learn about themselves. Nicole Eagan explores how a self-learning AI is able to learn how a company functions from the inside, and evolve with changes; this AI enables businesses to detect vulnerabilities, improve processes, and continue to grow. Read more.
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2:35pm3:15pm Thursday, September 12, 2019
Location: 230 B
Secondary topics:  Design, Interfaces, and UX
Michael Radwin (Intuit)
Design thinking is a methodology for creative problem-solving developed at the Stanford d.school. The methodology is used by world-class design firms like IDEO and many of the world's leading brands like Apple, Google, Samsung, and GE. Michael Radwin prepares a recipe for how to apply design thinking to the development of AI/ML products. Read more.
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4:00pm4:40pm Thursday, September 12, 2019
Location: LL21 A/B
Shelley Zhuang (11.2 Capital)
According to the 2015 Tufts Center for the Study of Drug Development, it now costs $2.6B to get a new drug to market. This figure represents the average cost of total research and development dollars spent divided by the total number of drugs approved. Shelley Zhuang explores how artificial intelligence is transforming drug discovery and development. Read more.
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4:00pm4:40pm Thursday, September 12, 2019
Location: 230 B
Debo Olaosebikan (Gigster)
As the gap between technology giants and the rest of the enterprise widens, AI-driven transformation has become essential and urgent. From the lens of over 1,000 projects delivered and a broad view across real use cases in multiple industries, Debo Olaosebikan examines an organizational and technical framework for using AI to drive business impact regardless of where an organization starts from. Read more.
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4:50pm5:30pm Thursday, September 12, 2019
Location: LL21 A/B
Mayank Kejriwal (USC Information Sciences Institute)
Embeddings have emerged as an exciting by-product of the deep neural revolution and now apply universally to images, words, documents, and graphs. Many algorithms only require unlabeled datasets, which are plentiful in businesses. Mayank Kejriwal examines what these embeddings really are and how businesses can use them to bolster their AI strategy. Read more.
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4:50pm5:30pm Thursday, September 12, 2019
Location: 230 B
Leslie De Jesus (Wovenware)
Leslie De Jesus examines a machine learning solution enabling the Puerto Rico Science, Technology & Research Trust to identify and classify mosquitoes that may be carrying diseases such as Zika and dengue fever. She outlines the challenges, strategy, and technologies used, the results achieved to date, and the implications of the AI project in helping to address a global threat. Read more.

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