New decision intelligence software launched to drive better organizational decision making
- Published: Thursday, 19 May 2022 09:12
AI firm, Faculty, has launched Frontier, a new technology offering that can show executives what will happen in their organization in various scenarios and why these occurrences will take place.
Frontier is decision intelligence software that describes what is happening in an organization, predicts what will happen, and proposes what the organization should do next.
Commenting on Frontier’s launch, Faculty CEO Marc Warner said:
“The ways decisions are made today are out of date, prone to error, and not fit for purpose.
“Decision intelligence is a new category of technology, helping organizations see the best course of action and drive high performance.
“The world is increasingly uncertain and complex, which is why now is the perfect time to launch this product and help organizations make better decisions.”
Frontier brings together both human and machine intelligence, as well as internal and external data, and existing software and systems to provide a complete view of an organization from top to bottom.
Faculty Frontier is the culmination of years of research and development in the Faculty Research Lab, and hundreds of custom builds for customers.
The company has worked with one of the world’s largest food manufacturers and a global medical device company, among others, to forecast supply chain demands and mitigate disruption.
Frontier is already being used in the UK NHS to forecast and manage demand for both elective care and in A&E, and Faculty believes now is the right time to launch the product to help firms deal with the current supply chain crisis and global volatility.
Frontier integrates into existing systems and processes, and the results are clear and easy for users at all levels to interpret. Frontier is cloud-agnostic, enabled via Faculty’s partnerships with AWS, Microsoft Azure and Google Cloud, and is able to integrate seamlessly with existing data and software platforms such as Snowflake, Salesforce, Oracle, Databricks, and more.
It brings a robust scientific approach to decision-making, helping an organization observe, understand, decide and act.
It also allows organisations to scenario-plan without disrupting their day to day operations, so they can see the likelihood of the outcome before making a decision.