White Papers
B2B Sales & Marketing Machine Learning
This whitepaper reviews an approach for applying machine learning and predictive analytics in a B2B sales & marketing environment.
Mosaic Data Science’s whitepapers are authored by our AI/ML experts, diving into groundbreaking research, meticulous analysis, and forward-thinking in AI and machine learning. Whether you’re seeking to comprehend the latest trends, demystify intricate technologies, or grasp the far-reaching implications of these innovations, our whitepapers are your gateway to informed decision-making.
This whitepaper reviews an approach for applying machine learning and predictive analytics in a B2B sales & marketing environment.
Applying statistical inference is a great way for businesses to get more value out of there email marketing programs.
We examine how businesses can apply machine learning to propensity modeling, CLV, segmentation, attribution, and churn.
In this whitepaper, we examine how different companies can attack the dispatch routing optimization problem using ML & AI.
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.
Applying AI for scoring marketing content effectiveness is a great use case for businesses.
This white paper examines a machine learning approach to predicting employee churn and optimizing for retention.
Our paper focuses on why enterprise data warehouse projects fail and what to do about it.
This white paper explores how traditional models of the value of information (VoI) can be extended effectively to account for uncertainties presently inherent in gathering and analyzing big data.
We’ve developed an entire guide on how to stand up a successful data science group.