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Neil Raden

Neil Raden is an author, consultant, speaker and analyst with Wikibon. With a mixture of research and advisory work infused with experience working with clients on real projects to provide context to the industry, Neil assists both providers and consumers of technology. He focuses on the needs of organizations and capabilities of technology by providing context to the often-bewildering choices facing organizations and guides them through a process that stresses value and realistic planning. He welcomes your comments neil.raden@wikibon.com.

Latest from Neil Raden

Data for good, or good for nothing?

BIG DATA By NEIL RADEN8 YEARS AGO

You might have noticed the recent surge in “Data for Good” programs, where organizations devote some resources to doing something perceived to be good for people, or the environment or other causes that aren’t in the scope of their normal business strategy. …

Machine learning and AI: Is it live or is it Memorex?

EMERGING TECH By NEIL RADEN8 YEARS AGO

If you were watching television (or even alive) in the late 1970s, you would be familiar with a rather brilliant advertising campaign by Memorex, touting the quality of its recording tapes by comparing the sound coming from a TV and the real …

Performance management: Can you really manage what you measure?

BIG DATA By NEIL RADEN8 YEARS AGO

This is not an article about technology. It’s about Enterprise Performance Management, or EPM, an entire discipline concerning strategy, planning and forecasting and measuring results from operations, human resources and many other aspects of the organization. The issues of measurement in performance …

All of us: Digital twinning from the National Institutes of Health

BIG DATA By NEIL RADEN8 YEARS AGO

In a previous article, Digital twins for personalized medicine: promising with caveats, we examined the pros and cons of digital twin technology applied to medicine at a personal level. Digital twin technology was devised to model physical objects, both their elements as …

Digital Twins for personalized medicine: promising, with caveats

EMERGING TECH By NEIL RADEN8 YEARS AGO

In 2018, there is finally sufficient computing, storage and network resources, as well as tools and skills for creating complex models that mimic reality to the extent that they can stand in for actual objects, processes and even people. These “Digital Twins” …

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