Upside


3 Priorities for Your Next AI Initiative

Leaders should focus on these three priorities to ensure their AI initiatives provide business value and do so ethically.

Q&A: The Revival of the Column-Oriented Database

In this Q&A, Edgemesh CEO Jake Loveless talks about column-oriented databases and the advantages they hold over ordinary row-oriented versions.

Data Digest: Training for Data Analysts, Data Scientists, and Data Engineers

Approaching a career as a data analyst, planning to take a data science bootcamp, and requirements for moving into data engineering.

Data Stories: Explaining Visualizations, Choosing a Color Scale, Early Data Visualization Training

How to explain data visualizations, select the right colors for a new visualization, and learn from earlier visualization methods.

Five Ways No-code Will Make Your Data Engineering Career Skyrocket

The no-code trend is growing dramatically, and no-code tools are the key weapon in your arsenal to set you apart from the crowd and accelerate your career.

Data Digest: AI and ML Basics and Advances

Understanding artificial intelligence and machine learning, the latest advances in AI, and new uses for AI in healthcare.

Executive Q&A: Applications of AI and Computer Vision in Retail

Computer vision takes sensor analytics a step further using AI. Rohan Sanil, CEO and co-founder of Deep North, an intelligent video analytics company, explains.

Data Digest: Data Governance and Stewardship

Implementing initial data governance for BI, today’s data governance guidelines, and the value of data stewardship.

Data: The Key to Helping Retailers Survive and Thrive

The pandemic forced many retailers and B2C companies to get online or fail. As we move into the post-pandemic landscape, how will these companies respond to the new reality?