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: 114
Dylan Bargteil (The Data Incubator), Michael Li (The Data Incubator)
This course is a non-technical overview of AI and data science. You’ll learn common techniques, how to apply them in your organization, and common pitfalls to avoid. Though this course, you’ll pick up the language 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.
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9:00am12:30pm Tuesday, September 10, 2019
Location: 230 B
Ira Cohen (Anodot)
The goal of the tutorial is to learn and experience what it takes to be a manage machine learning (ML ) based products. In the tutorial we will go through the cycle of developing machine learning 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 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.
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11:05am11:45am Wednesday, September 11, 2019
Location: LL21 A/B
mayukh bhaowal (Salesforce)
With the shift from the digital revolution to the AI revolution, the old product management workflow and frameworks are crumbling down. How do you manage AI products, how are AI executive roles different and what toolbox do they 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
Nicole Eagan (Darktrace)
While nearly every firm is impacted by a wide variety of external factors, the most robust businesses are recognizing the need to first learn about themselves. Organizations are increasingly deploying self-learning AI. Able to learn how a company functions from the inside, and evolve with changes, this AI is enabling businesses to detect vulnerabilities, improve processes, and continue to grow. 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 potential to create substantial value for business and the global economy. What’s less well understood is how it can be used to address some of the world’s biggest societal challenges. Michael Chui will discuss the ethical implications of AI and how executives can leverage the technology for good while considering its 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
Bahman Bahmani (Rakuten)
We will provide a framework and present 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)
This talk will present the predictions represent our thoughts on how conversational technology will evolve from its current state in 2019. Common misunderstandings about the technologies and case studies in several industries will be presented and discussed.  Read more.
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1:45pm2:25pm Wednesday, September 11, 2019
Location: 230 B
Haixun Wang (WeWork)
The AI advancements in the cyber world far surpass those in the physical world. This discussion will outline how WeWork aims to change this by discussing the approaches the company is taking to bring AI to the real world, ranging from modeling a neighborhood to creating digital twins of a building, and how AI can make businesses more efficient and improve people’s quality of life. Read more.
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2:35pm3:15pm Wednesday, September 11, 2019
Location: LL21 A/B
Peter Bailis (Stanford University)
Despite a meteoric rise in data volumes within modern enterprises, enabling non-technical users to put this data to work in diagnostic and predictive tasks remains a fundamental challenge. Peter Bailis details 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 inc)
Machine learning has enabled a move away from manually programming robots to allowing machines to learn/adapt to changes in the environment. We will discuss how AI-enabled robots are currently used in warehouse automation. We will describe recent progress in DRL, imitation learning, etc. and discuss real world requirements for various industrial problems, pipelined versus end to end systems. Read more.
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4:00pm4:40pm Wednesday, September 11, 2019
Location: LL21 A/B
Jana Eggers (Nara Logics)
Though we don’t always follow them, we have developed great best practices for designing, developing and delivering great software. What changes when we start adding AI to that great software? This talk will cover six key features of software dev that are similar when adding AI, and six that are different, and how to adjust for those. Read more.
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4:00pm4:40pm Wednesday, September 11, 2019
Location: 230 B
Dexter Hadley (University of California, San Francisco)
We will demonstrate how we use natural language processing techniques to curate routine clinical data for over 1M mammograms, and how we use deep learning, blockchain, and other approaches to realize AI that translates this valuable data into precision oncology to better characterize breast cancer and improve patient outcomes. Read more.
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4:50pm5:30pm Wednesday, September 11, 2019
Location: LL21 A/B
Mazin Gilbert (AT&T Research)
This presentation will provide a technical and a market landscape overview of how AI is creating the 5G world. It will highlight how recent developments in AI are helping to accelerate widespread adoption of 5G-based applications for consumers and enterprises. We will discuss the roles of open source and open platforms as key ingredients of this 5G AI transformation. Read more.
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11:05am11:45am Thursday, September 12, 2019
Location: LL21 A/B
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 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.
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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. Unity then invited the public to attempt to solve the challenge. Find out what the company learned from the contest and understand the real-world impact that can result from observing 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
The use of AI is growing rapidly and expanding into applications that impact people’s lives. Researchers have an obligation to consider the impact of intelligent applications. Assumptions made in the design process can be based on subjective value judgments. PARC is therefore leading an industry initiative to build ethical frameworks into the research and design of decision-making processes in AI. Read more.
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11:55am12:35pm Thursday, September 12, 2019
Location: 230 B
Michael Radwin (Intuit)
Design thinking is a methodology for creative problem solving developed at Stanford University 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. In this session, Michael Radwin, VP of Data Science at Intuit, will offer a recipe for how to apply design thinking to the development of AI/ML products. Read more.
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1:45pm2:25pm Thursday, September 12, 2019
Location: LL21 A/B
Yael Gozin (Pfizer)
The process of matching and verifying a data point in a table cell with its accurate source(s) is one of the main challenges associated with automating data quality checks. Pfizer in partnership with Beaconcure developed 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
Enhao Gong (Subtle Medical), Greg Zaharchuk (Stanford University)
Subtle Medical provides AI solutions, cleared by FDA and powered by industry framework, such as Intel OpenVINO, to 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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2:35pm3:15pm Thursday, September 12, 2019
Location: LL21 A/B
David Castillo (Capital One)
This talk will review Capital One's approach to explainable AI, with particular focus on fairness in automated decisioning. I will share our key learnings on best practices in implementing fair and responsible AI systems, as well as the challenges we have faced along the way and the research efforts we’ve initiated to overcome them. Read more.
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2:35pm3:15pm Thursday, September 12, 2019
Location: 230 B
This session is a result of lessons learnt from productizing enterprise ML services across Vision, Language, Recommendations, Anomaly Detection over the last 5+ years. You will walk away with an actionable framework to bootstrap & scale a machine learning function. We highlight this via a real product journey involving deep learning that we productized in record speed in-spite of no dataset. Read more.
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4:00pm4:40pm Thursday, September 12, 2019
Location: LL21 A/B
Shelley Zhuang (11.2 Capital)
How is 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 1000 projects delivered and a broad view across real use cases in multiple industries, I will present a organizational and technical framework for using AI to drive true business impact regardless of where an organization is starting 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. This talk, geared towards management and executives, will describe 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)
The session will discuss a machine learning solution that is enabling the Puerto Rico Science, Technology and Research Trust to identify and classify disease-carrying mosquitoes. The presenter will outline the challenges, strategy and technologies utilized, the results achieved to date and implications of the AI project in helping to address a global threat. Read more.

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