Advancing Analytics to Decision Intelligence
Traditional big data and intelligence tools only give you historical information
Now, with predictive analytics, you can look ahead and test different what-if scenarios to determine the best possible plan.
BigBear.ai AI/ML solutions provide advanced analytics for process simulation, forecasting, and discrete event simulation using a risk-free digital twin. Get the most accurate view of your operations and production to streamline and optimize results.
Why Use a Digital Twin?
Digital twins are risk-free environments where you can understand current state of operations, test new ideas, and see the impact of your processes and design.
A digital twin is a virtual replica of a physical object or system. Digital twins can be automatically updated from the electronic medical records or other information systems as patients move through the hospital or items move throughout your factory. Track information that is critical to your operations like:
- Exam rooms
- Hospital beds
- Factory equipment and machinery
- Conveyor belts
With the Power of Digital Twins, You Can:
- Get a global view of your operations
- Understand flow of material or people
- Replicate, test and create in a safe, virtual environment
- Experiment with different designs for facility expansion, operating strategies or new production lines
- Run, test, and re-run multiple “what-if” scenarios
Predictive Analytics: Look Ahead and Know What's Coming
Predictive analytics is a form of artificial intelligence that continually takes raw, historical data and applies it to machine learning algorithms to provide actionable intelligence that can be used for planning and process design. The more information the system ingests, the smarter it becomes—and the more accurate the recommendations it provides.
Pair predictive analytics with digital twin technology and get a powerful view of your facility’s current and future state.
Discrete Event Simulation: The Right Method for Complex Operations with Multiple Interdependencies
Discrete event simulation (DES) is a process used to replicate and simulate real-life operational behavior patterns. DES takes events that occur at specific times and in a complex environment—like a hospital or factory floor—and uses that information to determine what is likely to happen next with high accuracy.
DES can be instrumental in giving decision makers (like nurse managers, patient flow administrators, factory production directors) strong insights into how patients and objects are likely to progress throughout their facilities.
"What-if" Scenarios: Experiment and Test New Ideas and Processes to Understand Impact Before Implementation
“What-if” Scenario Analysis shows potential outcomes and views of how operation will change. They are used to determine how different variables and processes can impact operations. You can also run multiple “what-if” scenarios at once and compare outcomes, and/or save and re-run models for future use.
“There were times when we brought people into the room and showed them the actual model. It got people excited about it. They could see it happening and believed it was going to happen. The model helped us understand we could pull off the move safely.”
Andy McNerney, MBA Special Project Analyst, Northwest Hospital
“BigBear.ai has accelerated the time it takes us to create a critical mass of support for changes to complicated businesses. This single fact has provided MILLIONS of dollars in bottom line benefits.”
Peter Kalish, GE
“Running the BigBear.ai simulation showed that we were nowhere near capacity…we didn’t really need to build three additional exam rooms.”
Angela Roberts, VP, Facility Development & Management, AltaMed
“I’ve already learned more in one day with BigBear.ai than I have in the previous year!"
Audrey Onweller, Unified Platform Program Management Office
“There were certain very sophisticated things I was trying to do, that the consultant showed me how to do much more simply.”
Bob Koci, Cost & Process Improvement Manager
“BigBear.ai is flexible, powerful, and the size of the problems you can solve is amazing.”
Gene Lesinski, Operations Research Analyst, US Army
“BigBear.ai enabled us to improve our on-time project completion rate to over 90%, exceeding our goal of 80%. In addition, our recent resourcing decisions have saved us over $1 million dollars.”
Leonard Yip, IT Director
“Using the BigBear.ai Decision Support Tool that Army Sustainment Command runs out of Rock Island Arsenal, Ill., "for the first time in my career, we can really see ourselves, and so we know where every single piece of equipment in the Army is, whether you are in the active component, the Reserve component or the National Guard. It's never been that way; it's very powerful.”
General Gus Perna, Materiel Command, US Army
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