Kris Hammond

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Opinions expressed by ICN authors are their own.

As Chief Scientist and co-founder, Kris focuses on R&D at Narrative Science. His main priority is to define the future of Advanced NLG, the democratization of data rich information and how language will drive both interactive communications and access to the Internet of Things (IoT).

In addition to being Chief Scientist, Kris is a professor of Computer Science at Northwestern University. Prior to Northwestern, Kris founded the University of Chicago’s Artificial Intelligence Laboratory. His research has always been focused on artificial intelligence, machine-generated content and context-driven information systems.

Kris previously sat on a United Nations policy committee run by the United Nations Institute for Disarmament Research (UNIDIR). Kris received his PhD from Yale.

The opinions expressed in this blog are those of Kris Hammond and do not necessarily represent those of IDG Communications, Inc., its parent, subsidiary or affiliated companies.

Why this company will help change the future of artificial intelligence

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There is a growing realization that we cannot start deploying and using artificial intelligence technologies if their reasoning is opaque. We need to know what they are thinking.

ArtificiaI intelligence, APIs and the transformation of computer science

ArtificiaI intelligence, APIs and the transformation of computer science

An overview of the rise of APIs in the world of artificial intelligence technology development and the impact on software design.

Conversation as interface: The 5 types of chatbots

Conversation as interface: The 5 types of chatbots

What are the different types of chatbots? Which ones are here now and which ones are coming in the future? How will we use them in our day-to-day lives?

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Hiring people solely based on programming skills without considering their other skill sets is a recipe for disaster. Here's why.

Stop drowning your data scientists in drudgery

Stop drowning your data scientists in drudgery

The data scientist, a person who understands both business goals and technology, can translate business problems into algorithmic solutions. So why is this person spending time reporting - explaining what is known - rather than...

Why I’ll never visit the gym without a data scientist

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As the use of connected devices grow, how are we working to ensure that the data produced can even be used?

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A look at the re-emergence of A.I. and why the technology is poised to succeed given today's environment.

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The A.I. ecosystem

The A.I. ecosystem

AI systems have been with us for quite some time. Because many of these systems are narrowly focused, often times they are not thought of as being A.I.

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