Computer vision and facial recognition technology raise ethical and privacy concerns. Best practices for handling sensitive data ethically.
Ethical Issues in Computer Vision and Strategies for Success Read More »
Learn How to Prepare for an ML Project, Manage the Training Process, Monitor Batch Results, & Fine Tune the Training Strategy
Best Practices for Training a Machine Learning Model Read More »
The pandemic has highlighted the need for supply chain operations to be agile and efficient in the face of rapidly changing market forces. Read about how business leaders are using AI and ML to revolutionize supply chain operations.
How AI and ML Are Revolutionizing Supply Chain Optimization Read More »
To push autonomous vehicles into gear, ML teams need more than big data – they need smart data. This means investing in sophisticated tools to annotate image, video, and sensor data and acquiring expertise to make critical judgements that inform safe behavior on the road.
Self-Driving Cars Are Stuck In Park Without This… Read More »
What to consider when Developing Your Conversational AI Model
Deterministic Decision Tree Data vs. Probabilistic NLP Training Data Read More »
Over time data has become devalued and overlooked in the AI development process, despite numerous warnings by experts
Your Model Performance Problems are Likely in the Data Read More »
