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April 10-11, 2018: Training
April 11-13, 2018: Tutorials & Conference
Beijing, CN

Bringing AI into the enterprise

This will be presented in English.

Kristian Hammond (Narrative Science)
09:0017:00 Wednesday, April 11, 2018
英文讲话 (Presented in English)
Location: 多功能厅8A+8B(Function Room 8A+8B) Level: Intermediate
Secondary topics:  传媒、广告、娱乐 (Media, Advertising, Entertainment), 制造业与工业自动化 (Manufacturing and Industrial Automation), 设计AI平台(Designing AI platforms), 金融服务 (Financial Services)

必要预备知识 (Prerequisite Knowledge)

An understanding of the business problems that you are interested in solving

您将学到什么 (What you'll learn)

Learn a a practical framework for bringing AI into your company

描述 (Description)


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. On the plus side, the technologies we thought were decades away seem to be showing up at our doorstep with increasing frequency. However, little effort has been made to clearly explain their value and genuine business utility.

Kristian Hammond provides a practical framework for understanding your role in problem solving and decision making, focusing on how these technologies can be used, the requirements for doing so, and the expectations for their effectiveness. Rather than focusing on the technologies alone, this framework ensures that as you build, evaluate, and compare different systems, you’ll understand and be able to articulate how they work and the resulting impact.


  • An overview of the current AI ecosystem, focused on the reason why the intelligent technologies of today are different than what we have seen in the past
  • A deep dive into specific technologies from a functional perspective, which unpacks the requirements for each and how to evaluate opportunities
  • A look at how enterprises can develop a value-driven cognitive computing strategy, detailing how organizations can grow their skills and organization in parallel with the introduction of the technologies they are deploying and how to ramp into the solutions by defining a growth path that starts with definable tasks, well-understood technologies, and clear ROI and leads them through a process that results in the data awareness and skills needed to bring even the most sophisticated and complex technologies into play




1. 对现有AI生态系统的概述。重点关注为什么现在的智能技术和我们过去所见的不一样。这一阶段会铺垫出上下文,关注数据可获得性的变迁是如何提供了一系列的挑战和机遇。

2. 从功能性的方面深度挖掘特定的技术。解读每个技术所需的条件,和如何评估各种机遇。本阶段的目标是为观众提供一套具体的指标和原则来识别什么问题可以被现有的技术所解决,如何使用这些技术,以及在此过程中应该注意什么。

3. 关于企业如何能发展出价值驱动的“认知计算”战略的方法。这一方法组合了技术本身和对技能、团队和人员配置的观点。我们列出了企业如何能在部署技术的同时,同步发展出他们的技能和组织架构。我们会展示如何通过从可定义的任务、广为理解的技术和清晰的ROI开始定义一个发展路线来形成解决方案。并展示如何通过一个过程引导企业产生出数据意识和能把最精细复杂的技术引入业务的技能。

Photo of Kristian Hammond

Kristian Hammond

Narrative Science

Kristian Hammond is Narrative Science’s chief scientist and a professor of computer science and journalism at Northwestern University. Previously, Kris founded the University of Chicago’s Artificial Intelligence Laboratory. His research has been primarily focused on artificial intelligence, machine-generated content, and context-driven information systems. He currently sits on a United Nations policy committee run by the United Nations Institute for Disarmament Research (UNIDIR). Kris was also named 2014 innovator of the year by the Best in Biz Awards. He holds a PhD from Yale.