AI Takes the Stage at the Summer Olympics
It might not be obvious from the TV coverage, but the Tokyo 2020 Olympics is infused with big data and AI to an extent never before experienced.
Manually Managed Data Governance To Machine-Automated
Organizations that struggle with outdated systems will find themselves behind those that embrace automation.
Harvard Business Review
AI Doesn’t Have to Be Complicated or Expensive
Given advances in AI tech, organizations should shift their focus from building the right model to focusing on getting good data
The Art and Science of Justifying DataOps
For chief data officers and data scientists, the business case for DataOps can be obvious. But for business executives, not so much.
The Secret To A Data Scientist’s Success Goes Beyond Technical Expertise
What exactly are some of those soft skills that data scientists need to refine, and what should hiring managers look for?
Culture is the secret sauce for ethical data management
The way organizations should approach data privacy isn’t only about compliance with regulations, but also to build trust with customers.
Data architecture vs. information architecture: How do they differ
Designing a Purpose-driven Data Analytics Architecture
Programming language for data science: Python vs Julia vs R
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