Your data and AI tools are important, and outcomes are critical, but with today’s data-driven world, businesses must accelerate outcomes while improving IT cost efficiency. But how do you achieve this?
First, Data and AI initiatives must have intelligent workflows where the data lifecycle can work
When planning for a day of business, how do you calculate the numerous factors that may affect your bottom-line revenue? For Serco, a company which operates a bike-sharing service throughout London, the answer was in their data.
The data science market is evolving rapidly. Businesses need to respond to a volatile climate and be able to scale cost-efficiently by automating AI lifecycle management. A key phase in the AI lifecycle is model selection, training, and deployment. Many data scientists and developers today want to