QuantHub selected as finalist in National Artificial Intelligence Institute Tech Sprint

We are excited to announce QuantHub has been selected as a finalist at the VA National Artificial Intelligence Institute (NAII) AI Tech Sprint! The NAII 2022 AI Tech Sprint brings together competitors to create prototypes based on AI-enabled tools, to introduce and enhance technologies and practices within the U.S. government. AI Tech Sprints are three-month […]

How do you Future Proof Learning?

QuantHub Learning 101 is a series that explores the learning science behind what makes our product effective. This post discusses our unique approach to content curation and how we future proof learning.  “Future Proof” has become quite the buzzword. Being future proof means the ability to not need replacing or updating as technology advances. Technological […]

Data Science Isn’t for Everyone

I don’t believe in “data science for all.” Just as I don’t believe everyone should be a surgeon, or an opera singer, or a pilot. I think that, like these other occupations, data science is a specialized job that requires expertise and high-level skills. To me, the campaign for “data science for everyone,” is an […]

QuantHub Learning 101: Spaced Repetition

QuantHub Learning 101 is a series that explores the learning science behind what makes our product effective. This post discusses spaced repetition learning as the solution to the forgetting curve. Or, in plain language, we discuss in this post how to stop forgetting important information! Recently, I was asked to recall my best and worst […]

10 Data Literacy Skills to Become a Data Citizen

Data literacy skills are increasingly top-of-mind for corporate learning and development initiatives. A recent webinar guest, Daryl D’Cruz, shared, “data literacy skills are the building blocks of digital transformation.” Who needs Data Literacy Skills? The definitions of “data literacy” vary. At QuantHub, we know that the level of data skills needed in some roles is greater […]

What is Data Stewardship and Why is it Important?

Data stewardship is described by DAMA International (a global data management community) as the accountability and responsibility for data and processes that ensure effective management and use of data assets. According to DAMA, the stewardship of data “can be formalized through job titles and descriptions, or it can be a less formal function driven by […]