Data Legends Podcast: Differentiate or Drown: Managing Modern-Day Data

What are the top three mega trends for data leaders this year (and beyond)? In this episode, we tackle cloud data platforms, the five sub disciplines of observability, and real-time machine learning. Listen to our conversation with Kevin Petrie, Vice President of Research at Eckerson Group. Hear the Answers to these Questions: Why a cloud data platform is a common destination with many routes? Which tools to standardize the different classes of observability? How the interrelationship between model observability and ML works?

Interview With Director of Data Science, Michael Chang

For our latest expert interview on our blog, we’ve welcomed the Director of Data Science and Machine Learning at Included, Michael Chang. Michael helps measure and optimize workforce diversity and inclusion efforts through data. Prior to Included, Michael worked in various data capacities at Facebook, Teach for America, Interactive Corp, and eBay. Michael also enjoys teaching and is an adjunct instructor for data science at UCLA Extension and Harvard FAS.

The Secrets Behind Personalization: The Customer 360 view

In the era of hyper-personalization, your customers expect you to tailor your products and services to a market of one (aka, them). This is hard to do when the majority of big corporations are built for the masses, not for the hyper-niche markets. So how do you move from addressing the “male or female between 20 and 65 years” segment to having personalized conversations? With the Customer 360 view.

Three Ways Active Intelligence Can Support the CFO

Finance has been at the forefront of enterprise analytics for decades. Over the years, these analytics have evolved from reactive, descriptive analytics related to financial performance, treasury holdings, and inventory management to predictive and prescriptive analytics for risk, credit, and financial business modeling.