A small number of cutting-edge companies have effectively exploited big data’s potential. These companies have a strong focus on data gathering, recognize the potential value locked in their data, and effectively use machine learning to convert potential value into real, measurable business value. In this Advisor, we outline examples of three such companies and the way in which they utilize ML in practice.
Advisor
Value from Applying ML to Big Data
Posted January 23, 2018 | Technology |
About The Author
Greg Smith is a Partner at Arthur D. Little (ADL), based in London. 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 as well as the application of disruptive information technologies in solving intractable business problems in major enterprises… Read More
Michael Papadopoulos is a Cutter Expert, Chief Architect of Arthur D. Little’s (ADL's) UK Digital Problem Solving practice, and a member of ADL's AMP open consulting network. 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 improvement,… Read More
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 Macek.Andreas@adlittle.com.
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