Capability Development Archives

Capability Development

Mosaic can help your team grow through our cutting-edge machine learning and predictive & prescriptive analytics capability development services. We have designed and carried out comprehensive analytics assessments for customers in all industries, helping them identify gaps in people, process, technology, data, and use cases.

Our data scientists then use the insights we have gained to design and conduct hands-on training, integrating our customers’ use cases into classroom examples. Mosaic can train your data science team to translate business cases into ML projects.

Blogs

Filling Predictive Modeling Gaps with Anomaly Detection

Anomaly detection is a great technique to use in supervised machine learning and AI applications.

By Drew Clancy, 8 yearsOctober 31, 2016 ago

Blogs

Finding External Data Sources: Data is Everywhere!

Sometimes in ML & AI development, a data scientist will need to go and find external data sources to complement the modeling efforts.

By Drew Clancy, 9 yearsSeptember 28, 2016 ago

White Papers

Data Science for Utilities

The Energy industry holds multiple predictive analytics and data science opportunities. One large utility hired a management consulting firm to study their data process. The management consultants identified over $300 Million of value by utilizing the data this utility had already collected over many years.

By Drew Clancy, 9 yearsJuly 20, 2016 ago

Blogs

Data Science for Manufacturing

Manufacturing companies have a large opportunity to apply data science techniques like AI & ML to optimize their business processes.

By Drew Clancy, 9 yearsJuly 18, 2016 ago

Case Studies

Data Science Readiness Training

Mosaic built and delivered a custom data science training program for a leading oil & gas firm.

By Drew Clancy, 10 yearsSeptember 1, 2015 ago

Blogs

How to Make the Most of Your Data-Science Dollar

Data scientists are a scarce commodity, and are likely to remain so for years to come. At the same time, data science can create a substantial competitive advantage for early adopters who make the best use of their scarce data-science resources.

By Drew Clancy, 11 yearsJune 26, 2014 ago

Blogs

The Role of Industry Experience in Data Science

In this post we explain why the assumption about industry experience is outdated—why often industry experience detracts from the best possible application of data science.

By Drew Clancy, 11 yearsApril 10, 2014 ago