For modern enterprises, there is crucial data waiting to be mined at unexpected places. Artificial intelligence, deep learning, machine learning, and natural language programming can transform these disparate data formats into actionable insights.
Machine learning as a service helps enterprises optimize resource-intensive processes, as well as create new revenue opportunities. Statistical models and custom algorithms applied to big data are resolving complex business challenges, and driving enterprise top and bottom lines in innovative ways.
Srijan teams work closely with enterprise stakeholders to:
Understand the exact business challenges that can be addressed with machine learning
Define the specific capabilities and insights that stakeholders need, and identify the use cases where machine learning can be applied
We undertake exploratory data analysis to:
Understand the kind of data that is required to facilitate machine learning in a given use case, and how to access it
Data cleansing and normalization
Identify and engineer the specific features required for the particular use case
Given the use cases identified, teams decide upon:
The exact machine learning models to be employed, like image recognition, clustering, binary or multiclass classification, or regression models, as applicable
Set up requisite systems to help run these atop enterprise big data
Based on insights derived from advanced analytics, enterprises can leverage:
Recommendation applications that prescribe strategic next steps
Automated workflows for repetitive manual tasks
Machine learning based solutions enable enterprises to:
Automate and speed-up simple decision tasks across the organization
Offer intuitive, contextual customer experience
Mitigate risk of fraud
Save time and resources with intelligent workflow automation
How can machine learning as a service strengthen your enterprise processes and offerings? Start a conversation with our experts, and let's explore how Srijan teams can help.