Continuous Intelligence empowers enterprises with real-time data and insights to increase productivity and enhance security. Bhadra Graph is a Continuous intelligence platform uniquely tuned to gather signals from the enterprise,
model the best practices and provide the information in the form of API calls.
A greater need to shorten the journey from Onboarding to productivity for new hires. As the current work environment drives remote work culture with diminished personal interactions, reducing the cycles to get new sellers and support
teams to productive is requiring a more modern software approach. Continuous Intelligence engine replays the successful practices helping the sellers in real-time and in context by learning from the enterprise behaviors.
Need to secure the enterprise information as the demand for remote access grows. Limiting the remote users with the appropriate 360-degree view of the relevant information to complete a task in hand while avoiding exposure of the
rest of the enterprise information on an insecure network. Continuous intelligence engine can render blocks of information from functional applications to help a workflow eliminate a need to open the application.
Need for a solution that will help organizations deliver an integrated employee experience by giving employees a single place to manage their work needs, experiences, and transitions while shielding them from back-end systems and
complexity. Over the last several years, the proliferation of new technologies has brought complexity to most employees' workdays. Continuous Intelligence consolidates silos of information across applications to present a uniform
view of the information needed for a task in hand.
A need to create smart Digital Workloads - Enhance employee productivity by creating Digital Workloads, which can become part of a workflow or a micro-application. Continuous Intelligence learns from enterprise activities and bundles
most often used repetitive functions into a Digital smart workflow. .
Events and information from functional applications platforms like CRM, ERP, HRMS, productivity applications by Office 365, Google Docs, collaboration applications like Zoom, WebEx, and cloud content repositories like BOX are modeled
continuously in the Enterprise Knowledge Graph. An example of a data model for an upcoming calendar event with a customer would include consolidated information about the customer from Salesforce, ServiceNow, with a history
of interactions gathered from collaboration platforms like Slack and Zoom.
Bhadra Graph enables administrators to deliver better outcomes from a broad range of device and security operational data with more relevant, real-time information for decision-making. Bhadra-Graph leverages multiple technologies
such as event stream processing, optimization, business rule management, augmented analytics, and ML.
It is getting a consolidated view of the network of connectivity to the intended colleague or a partner. The best path to reach is always thru a network that is most often exercised and currently active. API will return the connectivity
network with relative strengths measured across Emails, Slack Channel, Team Channels, and content shares across cloud repositories.
Graph API returns a list of people that I should consider working with for an upcoming task. Based on activity signals, like working on similar projects like an RFP or writing a case-study or a contract. Bhadra-Graph can group
colleagues as people of similar interests. People's recommendations are also based on similar profiles that are extracted from HRMS and IdP resources.
API built on content analytics would identify the organization's trending content by gathering enterprise collaboration signals across all applications. Trending content would help a seller effectively use content to help in a
sales conversation or support services to find a solution to a pending issue.
Information Graph is a collection of discrete points of information from application signals for an enterprise user modeled into a behavior pattern. The information graph learns from user collaborations and interactions. Signals
from O365, interactions in Email, collaborations over Slack, and Teams become signals to build this Graph. Information Graph can model meetings, applications, and content consumption patterns.