All Hands on Data #54
Our articles this week are looking at the data space at a higher level. If you are looking to build a data team or improve your team, these articles can help elevate your understanding of that process
Data Scientist: the most ambiguous role of the 21st century
While data scientists may have a relatively poorly defined or ambiguous role in their organization, the author offers up some quantifiable advice for effectively navigating these scenarios. Specifically, he provides a quadrant layout showing the types of tasks these teammates may be handling and ways to go about tackling them. I love articles with pictures. - John Forstmeier
4 pillars of modern data quality
The need for accurate and reliable data to make informed decisions, the importance of having comprehensive and complete datasets that cover all relevant aspects, the need for data to be consistent across different sources and time periods, and the need for data to be up-to-date and relevant to the current context all ensure the reliability and effectiveness of an organization's data-driven initiatives. By focusing on data accuracy, completeness, consistency, and timeliness, organizations can enhance their decision-making processes, improve operational efficiency, and derive meaningful insights from their data. - Reed Cowan
Bridging the gap between data scientists and engineers in machine learning workflows
In my short experience in the data world, I've noticed a big gap between teams across the data space. It can be hard to collaborate between the engineers, scientists, and analysts that are across the organization. This article takes a look at how you help solve that problem and take a peek at the vision behind the team over at Quix. - Steven Johnson
Paralyzed Man Walks Again Thanks To AI-Powered Tool
A thought decoder? Apparently the missing element in allowing paralyzed people to walk again. It is part of a brain-spine interface which was trained off of people in MRIs listening to podcasts! It is incredible (in all the connotations of the word) to be witnessing so much science fiction transition into reality. - Katt Baum
5 Considerations for Migrating Data to the Cloud
This article does a good job at painting a picture of a common pain point for a lot of prospective customers - Angel Catalan
The Future of Data
Pedram consolidates his views on where data is going and how we cross some of the hurdles. The area that I find the most fascinating is how data teams can help influence ops because "everyone is a data person". What happens if your ops team has a bit more engineering rigor and a lot more data? As someone passionate about using data to automate various processes, I'm excited to see how this particular trend develops. - Blake Burch