
From Dashboards to Decisions: The Evolution of Analytics (and the Role of AI)
Explore how businesses move from raw data and dashboards to AI-powered analytics that drive smarter decisions
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.
Explore how businesses move from raw data and dashboards to AI-powered analytics that drive smarter decisions
Learn the six key dimensions of reliable data, the risks of poor input, and best practices for ensuring accurate insights.
Whether you use a data mart or query data directly from APIs, a hybrid strategy often delivers the best balance.
When evaluating the best ways to manage and store their data, the decision between on-premises and Azure data assets is crucial, as it impacts performance, security, cost, and scalability.