
An Explanation of Data Strategy
Data Strategy brings agnostic technologies and techniques together to align what often seem like IT topics to business needs.
Deliverables: Visualizations, Statistical Outputs, Recommendations Report
In a lot of circumstances building your own Artificial Intelligence model isn’t cost effective. If your Data Science use-case involves object classification, natural language processing, image annotation or other common AI tasks, then using Microsoft Azure Cognitive Services is likely the fastest, cheapest, and highest accuracy solution for you. Let our experts rapidly build a deployment that harvests insight using Microsoft’s vast AI resources.
Data Strategy brings agnostic technologies and techniques together to align what often seem like IT topics to business needs.
Data debt – it might not be as heart-pounding as a security breach or system outage, but think of it as the sneaky, slow leak in your digital boat that can eventually lead to a full-on flood.
The next generation of developers are going to drive the industry with enthusiasm to learn and unique perspectives.
Data science service offerings are here to help you harvest the value of your data.