"dotData offers most of the functionality of better-known vendors, and it frequently surpasses them in valuable enterprise use cases involving time- series, geospatial, and transactional data."
How Automation Will Change Data Science
Watch this video from CEO / Dr. Ryohei Fujimaki, and learn “How Automation Will Change Data Science.” 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:
(Recording Duration: 17 mins)