Companies don’t always need a team of data scientists to be able to utilize AI capabilities. When is it appropriate to bring in a data science team and when can you use Microsoft Cognitive Services?
Data Science
Maturity Assessment
Access your organization’s data science maturity. This assessment covers these areas:
Data readiness | Organizational strategy | Data infrastructure |
MLOps (Machine Learning, DevOps and Engineering)
Data readiness
Organizational strategy
Data infrastructure
MLOps (Machine Learning, DevOps and Engineering)
What do you get?
- Detailed report with 8+ pages of rich insights and customized recommendations
- Score assessing your readiness in each category
- Industry-standard best practices to help you improve
- A roadmap for your organization’s data science journey
Learn about our data science solutions
When Blueprint Technologies’ data science team set out to optimize a travel and hospitality company’s online advertising spend with machine learning, we found an almost uncountable number of ways the problem could be approached.
Leveraging Azure Databricks and Power BI to deploy advanced analytics to retail inventory
Need quick tips?
Download our checklist of Data Science Best Practices
Get our recommendations to build out and optimize your data science team.