Why Machine Learning Is Crucial to Effective Utilization of Big Data

Posted December 11, 2017 in Business Technology & Digital Transformation Strategies, Data Analytics & Digital Technologies Cutter Business Technology Journal
data growth
data growth

The authors offer some insightful thoughts on how machine learning can help extract value from big data. The authors begin their discussion by “illustrating the limitations of current methods and human intellect across the 4 Vs (volume, velocity, variety, and veracity)” and the barriers that can block the extraction of the 5th V (value). Their article further highlights some excellent ML use cases at cutting-edge companies.

About The Author
Greg Smith
Greg Smith is a Cutter Fellow and Managing Partner of Arthur D Little (ADL). He founded and co-leads ADL’s Digital Problem-Solving practice and is a member of ADL’s Executive Committee, where he has responsibility for ADL’s global innovation strategy. His work focuses on business strategy in the context of digital transformation, and on the application of disruptive information technologies to solving intractable business problems in major… Read More
Michael Papadopoulos
Michael Papadopoulos is a Senior Consultant with Cutter Consortium's Business & Enterprise Architecture practice and Chief Architect of Arthur D. Little’s UK Digital practice. He is passionate about designing the right solutions using smart-stitching approaches, even when elegance and architectural purity are overshadowed by practicality. Mr. Papadopoulos leads the scaling of multidisciplinary organizations by focusing on continuous… Read More
Andreas Macek
Andreas Macek is a Digital Strategy Consultant at Arthur D. Little. He has extensive experience in digital strategy and IT transformation following an Agile approach through management consulting roles in FTSE 250 companies. He can be reached at
Andrea Solda
Andrea Solda is a Data Scientist at Arthur D. Little. He specializes in data analysis, machine learning, and deep learning. He also has experience in software engineering and project management. He can be reached at
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