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New August Publications

by Jitendra Subramanyam  |  August 1, 2019  |  Submit a Comment

The Chief Data & Analytics Officer Research Team published the following NEW RESEARCH last month:

Data & Analytics Strategy and Planning:

5 Steps to Get Started with Machine Learning
https://www.gartner.com/doc/3953653
Eager to get started with ML but afraid it will be too technically difficult, expensive, or time consuming? Click here to learn the 5 steps D&A teams from Micron, Iron Mountain, and Avon used to get started with ML.

Data & Analytics Quality and Ethics:

Human Controls for AI Dangers (SignatureValue Bank*)
https://www.gartner.com/doc/3947537
Rather than guarding against AI-based attacked, D&A leaders should collaborate with security leaders to guard against the threats internal AI applications cause. Find out how SignatureValue Bank did so here.

On Demand Problem Solving Teams (McDonalds)
https://www.gartner.com/doc/3947270
Are you frustrated by onerous data governance practices at your organization? Learn how McDonald’s uses rapid response “sand dune teams” to efficiently make data governance decisions.

Exclusion-Based Data Sharing Rights (FirstHarbor*)
https://www.gartner.com/doc/3953614
Do data sharing requests at your organization get bogged down because dozens of stakeholders have to approve them? Find out how FirstHarbor quickly determines which stakeholders should be excluded from reviewing data sharing requests.

Data & Analytics Talent:
Workforcewide Analytics Capability Development (Intel)
https://www.gartner.com/doc/3955817
Click here to learn how Intel’s Financial Shared Services Center used internal data science talent to increase data literacy across the organization through peer-led education and a community of practice.

 

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Jitendra Subramanyam
VP, Team Manager I
2 years at Gartner
16 years IT Industry

Jitendra Subramanyam leads a research team that is focused on how Chief Data Officers manage the Data and Analytics function in their organizations. Jitendra teaches a course on machine learning at Harvard Extension School. The course is a practical introduction meant to help business executives understand key concepts and techniques in data science and immediately apply them to business problems.Read Full Bio




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