New Webcast! Your AI and ML Projects Are Failing – Key Steps to Get Them Back on Track
Syncsort has released a webcast titled, Your AI and ML Projects Are Failing – Key Steps to Get Them Back on Track.
With recent studies indicating that 80% of AI and machine learning projects are failing due to data quality related issues, it’s critical to think holistically about this fact. This is not a simple topic – issues in data quality can occur throughout from starting the project through to model implementation and usage.
View this webcast on-demand, where we start with four foundational data steps to get your Artificial Intelligence and Machine Learning projects grounded and underway, specifically:
- Framing the business problem
- Identifying the “right” data to collect and work with
- Establishing baselines of data quality through data profiling and business rules
- Assessing fitness for purpose for training and evaluating the subsequent models and algorithms