ML, AI, and Data Science

Businesses across the globe are in a race to leverage their true potential by tapping into their most valuable asset: Data. We live in a generation that has fully evolved predictive systems( ML) based and cognitive intelligence(AI). The technological trio is en route to becoming the cornerstone of all data-rich businesses of the future.

Business managers can no longer rely on intuition to make mission-critical decisions. For them to make reliable and quick business decisions, they must be backed by data and intelligence. Businesses must be proactive in anticipating the change and be ready to face disruption rather than wait for the disruption to happen and formulate a strategy to adapt to the new reality.

The transformative power of Artificial Intelligence combined with reliable data enables businesses to be adept at adopting themselves to the changing environment and achieve sustainable competitive advantage. Our cross-functional team of data & AI engineers, industry specialists, and business experts help businesses achieve the maximum from their data and transform themselves into a data-centric organization.

Data Science in businesses

Triviti's data management service is capable of handling massive unstructured data using supervised learning that includes virtual agents, intelligent robotics, Caseload analytics, Video analytics, Text Analytics, Unique identity, etc., to draw value from the data that helps facilitate business processes.


AI in businesses

For businesses, AI is the base of business automation, communicating with employees, building rapport with customers, and gaining insights from processed data.AI tethered with ML helps the financial sector, predict and assess loan risks by improving loan underwriting.

ML in businesses

ML is the backbone of business intelligence: It assists the process of BI and completely transforms the way it gets shared among various departments. ML helps organisations enhance their business offerings by providing data-driven intelligence to decision-makers, and stakeholders for making actionable decisions.