Machine Learning (ML) is a new field and there is a competitive advantage to any first adopters. Yet, many companies are buying ML technologies and developing strategies before they have taken the appropriate step to evaluate whether their data is ready or not.
Ted Sfikas, Director for Solutions Consulting, North America and LATAM, recently did a webinar on “Is Your Company’s Data Ready for Machine Learning.”
In this webinar, Ted takes us through the history and background of data science, what ML is, what a data supply chain’s role in an ML environment is and ML use cases. The webinar includes key takeaways such as:
What is Data Science?
Key Common Terms
What is Machine Learning (ML)?
2 Types of Machine Learning
To get more key takeaways and knowledge around all things ML watch the on-demand webinar and learn:
Watch the on-demand webinar and determine if your company’s data is ready for Machine Learning today!