Our AI blog is intended to educate business leaders looking to implement AI in the enterprise. Many of the tips and insights here are from first-hand experience working in AI (as scientists) and outside AI (as consultants, advisors, and coaches).
Latest Articles
Even if AI is Your Goal, Why Starting Without AI Improves Outcomes
4 Business AI Predictions for 2022-2023
AI as a field, especially in the context of real-world applications, has been progressing at a rapid pace. This has been further accelerated by the onset of the COVID-19 pandemic. In fact, AI was found…
Will AI Kill Your Job?
15 Common AI Problem Types
AI in Manufacturing: 4 Real-World Examples
How to Generate Quality Training Data For Your Machine Learning Projects (even if you’re data starved)
Build Your AI Foundation
What is ML Model Monitoring, and Why is It Important?
Once an ML model is deployed, its performance must be monitored continuously. That’s because model performance can degrade over time, which needs to be detected and addressed promptly. Why Do …
What is ML Model Monitoring, and Why is It Important? Read More »
What is precision and recall in machine learning?
Precision and recall are commonly used terms to assess machine learning model performance. Learn what precision and recall are from a business perspective.
What is Labeled Data When it Comes to ML?
A quick tutorial that explains what labeled data or labeled examples is in the context of Machine Learning and AI. Build your AI foundations.
What is ML Model Deployment?
Deployment of machine learning (ML) models means operationalizing your trained model to fulfill its intended business use case. If your model detects spam emails, operationalizing this model means integrating it …