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Put AI to work
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 (Northwestern Computer Science)
09:0017:00 Wednesday, April 11, 2018
英文讲话 (Presented in English)
Location: 多功能厅8A+B(Function Room 8A+B)
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)
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必要预备知识 (Prerequisite Knowledge)

与会者应该有一些他们感兴趣要解决的业务问题的想法。
An understanding of the business problems that you are interested in solving

您将学到什么 (What you'll learn)

Learn a practical framework for bringing AI into your company

描述 (Description)

本教程将以英语授课。不会有同声传译,但您的问题会有翻译。

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.

Outline:

  • 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

尽管AI技术已经进入常用阶段,很多企业的决策人依然困扰于这一异样的技术能做什么,以及如何才能把AI技术集成进他们的业务里去。从好的方面看,我们过去认为还需要几十年才能实现的技术已经以更快的频率出现。但不好的方面是,只有很少的精力被放在清晰地解释这些技术的价值和它们真正的商业用途上。


这个研讨会不是去只关注于技术,而是提供了一个实用的框架去帮助理解AI技术在解决问题和决策里的角色。我们关注于这些技术如何被使用,使用所需要的条件,以及对它们有效性的期望。特别是,这一框架将会帮助参会者在构建、评估和比较不同的系统时,能理解和解释清楚这些技术如何工作的和它们的效果如何。

本教程包括3个主要阶段:

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

Northwestern Computer Science

Kristian Hammond is Narrative Science’s chief scientist and a professor of computer science and journalism at Northwestern University. 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.