6 Key Players That Should Be Involved in Every AI Decision If you want to develop a Trusted AI solution that solves a business challenge, you need human input. Or, to be more precise, you need human input from a
3 Sessions on Responsible AI You Won’t Want to Miss At ODSC West 2021 The first-ever hybrid Open Data Science Conference (ODSC) West event is next week and our team can’t wait to join hundreds of other data scientists to
From Aerospace Manufacturing to Data Science: Bob Wood Shares His Story Two boys grew up in Saudi Arabia. Both boys lived in the same town, both moved to the United States, both attended Case Western University, and both studied engineering.
Meet the Newest Data Scientist at Pandata: Merilys Huhn, JD For as long as she can remember, Merilys Huhn has loved solving problems. She has always been deeply intrigued by how people work and act together—her background in law and
From Anthropologist to Data Scientist: Julie Novic Shares Her Journey Julie Novic knew at the age of eight that she wanted to be an archeologist when she grew up. Even at that young age, she wanted to understand human culture
By Hannah Arnson & Joseph Homrocky Data science is often thought of as a black box – in goes data, outcomes actionable information. Inside that black box lives a complex mix of programming, mathematics, statistics, hardware, and software, each
There is no doubt that data science is revolutionizing the business world and the companies that aren’t investing in it are being left behind. With all the hype around the data scientist, with skills that span advanced mathematics, database manipulation, statistical
Creating a data science team requires painstaking precision. We believe that it should be multifaceted. Not only should it consist of data scientists, with different specializations and disciplines, but it also requires a strong support system to round it out.
Cal Al-Dhubaib, Pandata’s chief data scientist, expounds on data science as a career.
The data revolution of the 2010’s is very similar to the IT revolution of the 1990’s. Just as the workforce required more computer literate professionals in the 90’s, today’s workforce increasingly calls for professionals that are comfortable making informed decisions