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).
The 4 Must-Do’s in Building a Text Classifier— For The Real World
How to Hire Help for Your NLP Projects?
Do you need cost-effective help for your NLP projects? While big tech companies have fully staffed Natural Language Processing (NLP) and Machine Learning engineers, your company may be new to AI. At this stage, you…
HCAHPS Survey: 10 Frequently Asked Questions
5 Ideas for Using NLP in Customer Service
How to Improve the Patient Experience with AI?
How to Build Production Ready NLP Solutions?
A vast majority of NLP solutions developed at the workplace just don’t scale! And by scale, we mean handling real-world uses cases, ability to handle large amounts of data, and ease of deployment in a…
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 …