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Why it's time for CIOs to invest in machine learning

#artificialintelligence

To Olley, machine learning fills a gap in technology that has existed for a long time: solving complex problems with pattern recognition. "With the majority of Elsevier's revenue coming from technology-based products and services, we started using machine learning in our commercial products, but it's equally applicable to internal IT platforms," Olley says. As part of the executive teams within RBI and Elsevier, Dan continues to drive organic online product growth across the portfolio. Prior to RELX Group, Dan held technology and product management leadership roles with GM Financial, Wunderman Cato Johnson, and IBM, as well as a number of software organizations in the United Kingdom and other international locales.


Report 83-51.pdf

Classics (Collection 2)

Reprinted by permission of MacMillan Journals Ltd. Published in the Bio/Technology, September 1983. Millions of base pairs worth of DNA sequences are now known and must be analyzed: hundreds of restriction enzymes and cloning vectors must be kept track of to carry out work in genetic engineering. Computational systems have become a necessary tool to acquire, retrieve, manipulate, and analyze this information. A myth of the early days of computing was that computers were excellent number manipulators, but poor at working with other forms of information.


Report 82-29.pdf

Classics (Collection 2)

The state of Al after 25 years of work in the field is reviewed, as are the views of its practitioners about its relation to cognate disciplines. The report concludes with a discussion of some possible effects on our scientific work of emerging commercial applications of Al technology, that is, machines that can know and can take part in human cognitive activities. Artificial intelligence is the part of computer science concerned with creating and studying computer programs that exhibit behavioral characteristics we identify as intelligent in human behavior--knowing, reasoning, learning, problem solving, language understanding, and so on. Al researchers have developed dozens of programs and programming techniques that support some sort of "intelligent" behavior. Although there are many attitudes expressed by researchers in the field, most of these people are motivated in their work on intelligent computer programs by the thought that this work may lead to a new understanding of mind: Al has also embraced the larger scientific goal of constructing an information-processing theory of intelligence.