What Nobody Tells You About Machine Learning
Machine learning holds the potential of enabling companies to save time and resources on a variety of tasks while achieving better business outcomes.
So why aren’t more organizations adopting machine learning?
Joe DeCosmo, CAO of Enova International and member of the Forbes Technology Council, gives insight into constraints on machine learning adoption:
- Data science talent
- Data access and labeling
- Potential bias
- Deployment resources
“When considering machine learning, it is critical to assess your existing business models and decision-making requirements before hiring a single data scientist or investing in computing resources and infrastructure,” said DeCosmo.