Machine Learning & AI
AI and ML enable combining various data across several industrial data sources. It rapidly identifies problems, discovers root causes, predicts future performances, and automates actions. This whole process improves quality, productivity, utilization, and proper delivery of operations. Actionable insights get created and these get turned into intelligent experiences. It improves products and increases customer engagement while boosting employee productivity & efficiency.
AI takes over repetitive activities and allows people to focus on strategic responsibilities. A well-defined master data model, as well as a data-driven decision culture, forms the pre-requisites for starting any AI project.
In general, an enterprise-level ML and AI ecosystem consist of an infrastructure that enables data scientists for designing and operating ML/AI models with apt tools & services. On top of that, the DevOps services & tools ensure the authenticity, security, and scalability of all ML/AI models.
Benefit of Services
We help our clients with the below-recommended architecture that includes:
- Microsoft Azure Data Lake Storage for raw data storage.
- Microsoft Azure Data Factory is used for creating, scheduling, and orchestrating workflows.
- Microsoft Azure Data-bricks to prep and train machine learning models.
- Microsoft Azure Auto ML for forecasting capabilities.
- Microsoft Azure Analysis Services to store and scale data in the cloud.
- Microsoft Power BI for end-users to consume packaged data.
With ML and AI showcasing many facilities that enable automation and authenticity of processes, they are very significant concerning the Data Analytics Process. Contact us to know more.