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New Data and Analytics Research: Infonomics and Data Security, and Data Science/ML project Success

by Andrew White  |  December 1, 2017  |  Comments Off on New Data and Analytics Research: Infonomics and Data Security, and Data Science/ML project Success

Nigel Shen and colleagues just published Six Pitfalls to Avoid When Planning Data Science and Machine Learning Projects.

Organizational and process pitfalls in data science and machine learning projects could inadvertently derail success and destroy organization-wide confidence in these techniques. Data and analytics leaders should use this checklist to avoid six planning pitfalls for those projects.

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Brian Lowans and Doug Laney just published Use Infonomics to Reset Data Security Budgets.

Use infonomics to provide a financial analysis of the assets and liabilities for the portfolio of data-sets. Security and risk management leaders responsible for data security as well as data and analytics, must evaluate how the business exploits each dataset by prioritizing an appropriate budget.

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Category: data-science  data-security  gartner-research  infonomics  information-value  information-yield-curve  machine-learning  

Andrew White
Research VP
8 years at Gartner
22 years IT industry

Andrew White is a Distinguished Analyst and VP. His roles include Chief of Research and Content Lead for Data and Analytics. His main research focus is data and analytics strategy, platforms, and governance. Read Full Bio




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