Incorporating Decision Science into Data Science

Machine Learning and mathematical rigor are tools at data scientists’ disposal. But we all know that having a better calculator won’t exactly result in better test scores, and having a more powerful computer won’t necessarily make you a better programmer. To develop a strategy that doesn’t underperform, a data scientist …

Going from MLOps Level 0 to Level 1

Evolving past local Jupyter Notebooks to Autonomous Systems: Industry Data Science has diverged into a few dominant verticals as the field has matured, but the primary specialty has been Enterprise Machine Learning (with Product-centric Data Science as a close second). Going from MLOps Level 0 to Level 1

What Companies Look for When Hiring Data Scientists

Hiring in data science has become very competitive for both companies and professionals in recent years. Fueled by the Great Reshuffle, data science positions are in high demand which can greatly benefit new and seasoned data science professionals alike. But in order to get hired in such a competitive landscape, …

How To Manage Your Team’s WFH Data Analysis Gap

One thing we’ve all learned in the last year is how to work without our colleagues being steps away. When it comes to data analysis, and specifically to measuring the impact of changes to the business, the physical distance between staff requires granting more trust and latitude down the organization, …

How GPU Computing Can Boost Data Science Capabilities

GPU technology is an innovative option that can improve the speed of certain types of processes, namely those that can be performed using parallel processing which require computer systems to “think” and “learn” while processing data as quickly and efficiently as possible. For example, GPUs are used in everyday technology …

Three Emerging Data Science Trends You Need to Know

Data science has become a necessity for companies looking for innovative and efficient ways of solving complex business problems. As the world becomes more data-centric, trends in data science technologies and practices continue to emerge and evolve. Continual education on cutting edge data science applications can help optimize an organization’s …

A System for Evaluating Business Program Improvement

If your organization is like most, you have to balance meeting customer expectations for delivering high quality products or services with the hard reality of needing to keep costs in line to maintain profitability. Often, organizations will implement “interventions” aimed to improve business, such as to reduce costs, increase revenue, …