Data Science Real Applications

What is Data Management Applications & Funding Strategy? (Part I, with Scott Taylor "The Data Whisperer")

Listen in on a delightful perspective on how to implement Data Science starting from a Data Management strategy standpoint. Scott Taylor, the “Data Whisperer” and a public speaker and published author in Data Management, has helped multinational and global executives obtain funding for their data science and data management projects from senior leaders and investors in their enterprises. We introduce his powerful approach on storytelling, including Scott's technique of bringing vocabulary, voice, and vision as a prelude to successful data management and data science real applications.

Real Examples of Data Science Experiments (Part II, with Dr. Singson, Head of Data Science Mastech Info Trellis)

In this podcast, we provide three topics of value: 1. How professionals can enter into the data science field, 2. Real examples on data monetization using data sciences, and 3. An understanding of the current challenge and current hiring trends.

How Data Science Can Monetize Data for Clients (Part I, with Dr. Singson. Head of Data Science Mastech Info Trellis))

In this podcast, we introduce Dr. Maria Singson, Data Science General Manager at Mastech Info Trellis, a US based Data Intelligence and Data Science company providing solutions to a diverse portfolio of clients in multiple industries. You’ll listen to how her company delivers value through data and will be introduced to the topic of data monetization, after learning about Dr. Singson’s fascinating background.

How Data Projects Work in Investment Banking (Part I with Kurt Nielsen, Global Leader Enterprise Applications)

Kurt Nielsen, Data and Systems Leader based in New York City, has more than 30 years of experience working at some of the top investment banks and FinTechs in the world. Tune into this two part series where he shares his knowledge of the role of data today and in the future.

Ethics in Data Science (Part III, with Marc Paradis)

Marc shares with us his perspective in managing the ethics of Data Science. He explains how to overcome ethical issues, as we use data to shape policy and decision making, while also offering a non-bias, realistic perspective on how we can best manage disagreements and arrive to logical solutions.