The world of data science, machine learning, and artificial intelligence is enormous and complex. Today, companies are building exciting and intense data science initiatives leveraging these technologies, but it can also be daunting to approach and difficult to gain leadership buy in.
Utilizing an incremental approach that demonstrates value along the way can help companies make the shift toward solving problems with a data science framework. While the argument to build this kind of programming is enticing, what should you do if your organization is not convinced of its benefits yet? This session explored case studies and showed how to properly implement an incremental approach to building your data value chain and position your business for growth in this changing economy.
Watch the recording of this webinar to learn how to recognize organizational frameworks for data maturity and identify how to leverage a proof-of-concept project.
Mary Willcock, Data Scientist