Tag Archives: neil raden

Karl Popper versus Data Science

I’m sure you’ve heard of Big Data and IoT (Internet of Things) by now. There is a current in computing now that is based on the economics of nearly unlimited resources for computational complexity including Cognitive Computing (AI + Machine … Continue reading

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I’m Getting Convinced About Hadoop, sort of

As I sometimes do, I went to Boulder last week to soak up some of Claudia and Dave Imhoff’s hospitality and to sit in on a BBBT (Boulder BI Brain Trust) briefing in person instead of remotely like most of … Continue reading

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New World Order: Hadoop and Relational Databases

By Neil Raden Hired Brains Research  nraden@hiredbrains.com Hadoop “data warehouses” do not resemble the data warehouse/analytics that are common in organizations today. They exist in businesses like Google and Amazon for web log parsing, indexing, and other batch data processing, … Continue reading

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Decision Management on Steroids: Will Big Data Tools Trump Rules?

Decision Management on Steroids:Will Big Data Tools Trump Rules? Can the ability to extract meaning and sentiment from previously unconventional data sources reorient the role of business rules? In a typical customer application, scoring models are created by finding patterns … Continue reading

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NoSQL: What’s the Buzz About Graph Databases?

I attended the NoSQLNow conference in San Jose and had the opportunity to  speak one-on-one with a number of principals of NoSQL database concerns, including Emil Eifrém of Neo Technology. For those of you who aren’t familiar with the concept, … Continue reading

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Decision Services: IBM Tackles the Full Spectrum of Decision Management

Originally posted August 31, 2012) When James Taylor and I wrote the book “Smart (Enough) Systems: How to Gain Competitive Advantage by Automating Hidden Decisions,” we focused mainly on those kinds of decisions that are managed by a “decision service.” … Continue reading

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The Fallacy of the Data Scientist Shortage

There is no question that the USA (in fact, most of the world) would be well-served with more quantitatively capable people to work in business and government. However, the current hysteria over the shortage of data scientists is overblown. To … Continue reading

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YABADaS: Yet Another Blog About Data Science

In a comment to Dan Woods’ article “Amazon’s John Rauser on What Is a Data Scientist?,” (http://www.forbes.com/sites/danwoods/2011/10/07/amazons-john-rauser-on-w… ) “nyhacker” commented: “So far there is a standard obstacle to such work: Business is still organized as it was in Henry Ford’s day … Continue reading

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Data Scientist Title Is a Convention

Daniel Tunkelang is the Chief Data Scientist at LinkedIn and disagrees with my definition of a data scientist, presumably from my blog, “What Is a Data Scientist (and What Isn’t?”). I said that, “the term ‘Data Scientist’ is an over-reaching title.” … Continue reading

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What Is a Data Scientist (And What Isn’t)?

The perception among organizations over the past five years is that more quantitative methods, with or without Big Data, are critical to success. The problem is that most commercial organizations have little to no depth in these disciplines. On the … Continue reading

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