On-Demand Webinar with Founder and CEO / Dr. Ryohei Fujimaki. Answer the question: “Can Automation Save Your Data Science Project?”
Data Science is core to business today. Whether its:
- Trends in Automation and Data Science;
- How to apply data insights to develop new products and services;
- Predictive Analytics of product demands to optimize the supply chain; and/or
- Risk analysis to predict failures for energy plants.
Data Science and Machine Learning is one of the most important technologies for any enterprise to innovate its business. Approximately 96% of organizations run into problems with their AI/ML projects. Why is machine learning hard and what makes it fail?
Four Pillars of Data Science Automation:
- Accelerate
- Democratize
- Augment
- Operationalize
(Recording Duration: 17 mins)
Learn more about dotData, and discover why Forrester said that “dotData is AutoML’s best kept secret,” and should make enterprise shortlists for comprehensive AutoML solutions – download your free copy today.