ON-DEMAND WEBINAR
Artificial intelligence and machine learning, however dazzling, fails without the right inputs. Nearly half of companies say they lack data quality and governance controls to support their AI/ML projects, and only one third say their models usually make it to production.
To overcome such challenges, data teams must train, feed, and tune their AI/ML models with refined datasets that bring together diverse sources on a real-time basis. They must ensure these algorithms assimilate the right knowledge and thereby make the right inferences.
Our on-demand webinar 'Diverse, Integrated, and Real-Time: Delivering the Right Data for AI/ML Success' with Kevin Petrie, BARC VP of Research at BARC, and Nick Golovin, CData SVP, Enterprise Data Platform, explores how to make this happen with a multi-faceted approach to data integration, including Change Data Capture (CDC), real-time streaming, and virtualization of distributed datasets.
Such a data management foundation also enables data scientists and engineers alike to spend more time optimizing their AI/ML models and less time preparing data inputs.
Key takeaways:
- Data management challenges in AI/ML initiatives to look out for
- Data integration as a crucial element in AI/ML initiatives
- Real-life customer use cases
Fill out the form to watch the on-demand webinar.
