Presented By O’Reilly and Intel AI
Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA

Schedule: AI in the Enterprise sessions

In order to successfully deploy AI and automation technologies, organizations must work through a series of assessments:

  • What are the key technologies (hardware and software) and what are their limitations?
  • How much data does one need to use these technologies?
  • How does one organize and hire for AI?
  • What types of problems or tasks lend themselves to automation? What are some initial use cases one can consider?
    We’ve assembled trainings, tutorials, and sessions designed to help attendees understand how to move forward with best practices, tools, and technologies used at many leading companies.
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9:00am - 5:00pm Tuesday, September 4 & Wednesday, September 5
Location: Continental 9 Level: Beginner
Michael Li (The Data Incubator), Zachary Glassman (The Data Incubator)
Michael Li and Zachary Glassman offer a nontechnical overview of AI and data science. You'll learn basic concepts and vocabulary and develop a framework that will allow you 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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9:00am–5:00pm Wednesday, September 5, 2018
AI Business Summit
Location: Continental 6 Level: Beginner
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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1:30pm–5:00pm Wednesday, September 5, 2018
AI Business Summit, AI in the Enterprise
Location: Yosemite ABC Level: Beginner
Beth Partridge (milk+honey), Nick Paquin (milk+honey), Annie O'Connor (milk+honey)
Utilizing AI technologies to advance business goals remains one of the most daunting challenges for many business leaders. Beth Partridge, assisted by Nick Paquin and Annie O'Connor, shares a breakthrough approach that bridges the gap between data science and business. Join in to gain a clear understanding of what AI can do for your business and how to go about implementing it. Read more.
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11:55am–12:35pm Thursday, September 6, 2018
AI Business Summit, AI in the Enterprise
Location: Continental 4 Level: Intermediate
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.
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1:45pm–2:25pm Thursday, September 6, 2018
Sponsored
Location: Yosemite A
Ben Taylor (Ziff.ai)
What if you could QA everything and make your best employees 10–100x more efficient? Ben Taylor shares real use cases of business transformation and realized value in production using deep learning and discusses some of the executive conversations and behaviors Dell EMC is seeing in the market. Read more.
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2:35pm–3:15pm Thursday, September 6, 2018
AI Business Summit, AI in the Enterprise
Location: Continental 4 Level: Intermediate
Forrest Iandola (DeepScale)
Now more than ever, success in AI requires expertise in multiple disciplines, including big data, efficient software, and novel models and algorithms. Forrest Iandola shares an approach for developing a full stack AI team that can use all of these diverse skills to execute on industrial-scale AI problems. Read more.
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11:55am–12:35pm Friday, September 7, 2018
Implementing AI, Interacting with AI
Location: Imperial A Level: Beginner
Jason Laska (Clara Labs)
Clara’s human-in-the-loop scheduling service combines the precision of machine intelligence and the judgement of an expert team. Jason Laska explores the trade-offs between text annotations defined for fast data entry and those meant solely for training machine learning models, using the application of DateTime text as it pertains to meeting-attendee availability to guide the discussion. Read more.
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11:55am–12:35pm Friday, September 7, 2018
Mariya Yao (Metamaven)
Executives are often asked to "innovate with AI," but barriers to successful adoption for most enterprises are organizational, not technical. Mariya Yao explains why effective AI requires not only technical talent but extended interdisciplinary coordination between teams, investments in retraining your workforces at all levels, and cultivation of an experimental, data-driven culture. Read more.
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11:55am–12:35pm Friday, September 7, 2018
Jake Saper (Emergence Capital)
Much attention in enterprise AI today is focused on automation. Jake Saper explains why the more interesting applications focus on worker augmentation and offers an overview of coaching networks, which gather data from a distributed network of workers and identify the best techniques for getting things done. Read more.
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1:45pm–2:25pm Friday, September 7, 2018
Mike Tung (Diffbot)
Leveraging structured knowledge will be a critical ingredient in the design of the next wave of intelligent applications. Mike Tung offers an overview of the current open source and commercial knowledge graphs and explains how consumer and business applications are already taking advantage of these to provide intelligent experiences and enhanced business efficiency. Read more.
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2:35pm–3:15pm Friday, September 7, 2018
AI Business Summit, AI in the Enterprise, Impact of AI on Business and Society
Location: Continental 4 Level: Intermediate
Sharad Gupta (Blue Shield of California)
AI-powered chatbots are increasingly becoming viable solutions for customer service use cases. Technology leaders must consider adopting a multichannel chatbot strategy to avoid siloed chatbot solutions. Sharad Gupta shares a framework to ensure long-term strategic investment in chatbots. Read more.
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2:35pm–3:15pm Friday, September 7, 2018
AI Business Summit, Impact of AI on Business and Society
Location: Continental 5 Level: Intermediate
Robin Bordoli (Figure Eight)
AI in the real world is a reality. AI is beginning to do things that are uniquely human, such as seeing things and labeling, but does so without contextual details or any human values. Humans and machines need to work together in AI. Robin Bordoli discusses the importance of training AI so that its application in the real world goes right and explores new ways of using AI. Read more.
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4:50pm–5:30pm Friday, September 7, 2018
AI Business Summit
Location: Continental 4 Level: Beginner
Paco Nathan (derwen.ai)
Deep learning works well when you have large labeled datasets, but not every team has those assets. This talk 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.