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7 sins of digital transformation

CIO Business Intelligence

But perhaps more importantly, they must learn from their previous big digital wins — and avoid repeating all-too-frequent mistakes that cause transformations to fail or lag behind expectations. Even as the drivers for each digital era evolve, CIOs can still derail transformation by customizing solutions or prioritizing too many KPIs.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. In conferences and research publications, there is a lot of excitement these days about machine learning methods and forecast automation that can scale across many time series.

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Combined, it has come to a point where data analytics is your safety net first, and business driver second. These industries accumulate ridiculous amounts of data on a daily basis. Predictive Analytics: Predictive analytics is the most talked about topic of the decade in the field of data science.

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3 ways CIOs should drive the future of work

CIO Business Intelligence

But taking this kind of butler approach to the organization’s future of work mission and waiting for business drivers can be shortsighted. CIOs should define a citizen development governance model and govern citizen data science so that no-code apps and dashboards developed today don’t become tomorrow’s technical debt.

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The year of the data catalog

Alation

Key analyst firms like Forrester, Gartner, and 451 Research have cited “ soaring demands from data catalogs ”, pondered whether data catalogs are the “ most important breakthrough in analytics to have emerged in the last decade ,” and heralded the arrival of a brand new market: Machine Learning Data Catalogs.