Cortex 6
CognitiveScale is making the development of AI systems less of a raw engineering chore and more of a creative and operational task for the business itself — across data scientists, AI developers, and business analysts.
Client
CognitiveScale (acquired by Tecnotree)
Role
Design Director
Awards
Red Dot
UX Design Awards
Press
PR Newswire
How it works
Healthcare use case
For members of a specific health insurance, designate specific cohorts (e.g. location, demographics, comorbidity) to deploy high-confidence interventions that ethically support members in making proactive choices for their care before going to the emergency room. Data is then used in a feedback loop to improve future interventions.
Outcomes
Increase positive health outcomes in high risk populations
Reduce strain and cost to healthcare system
Reduce per-member cost to health insurance companies
Generating campaigns to positively affect human behavior
Workflow process overview
A more approachable AI
The work Cortex 6 does computationally has historically been done by business analysts, an audience with little-to-no code familiarity. The interface and overall user experience are therefore of vital importance—it must be sophisticated enough to manipulate thousands of complex factors yet simple enough to use effectively. Now subject matter and line-of-business experts can design AI campaigns that model and solve business problems, then disseminate the resulting data-driven decision intelligence throughout the company.
Enables business managers to model goals and cohorts in a language and construct they are familiar with.
Robust, transparent, and fair AI systems that reduce business risk.
Cortex 6 gives users unprecedented access to monitor and refine their AI orchestrations, solving a critical problem that’s bedeviled the industry for years. Certifai, Cortex’s model intelligence tool, evaluates campaigns for robustness, fairness, and explainability, allowing users to compare models and uncover and detect unintended bias.
Visually string together a series of steps that compose an AI campaign, as well as the individual decision points and variables that drive how the AI behaves.
Simulate and refine goals, leveraging the code and sophistication of the IT team without having to share that deep knowledge.
Deploy resulting plans and further structure, monitor, and refine as needed.
Monitor campaign performance over time from multiple altitudes
Business analysts recieve a status email after data scientists & AI developers have completed their work
Significant real-world impact
Automotive manufacturers can predict when machines will break and determine the lowest-cost maintenance schedule
Healthcare companies can now develop individualized plans through modeling to help keep patients out of the emergency room, offering a level of care that is otherwise impossible
“
argo worked closely with our engineering team to digest complex and abstract technical ideas, and helped transform them into tangible constructs. They essentially translated all the complexity of augmented intelligence into a beautiful visual toolbox that makes AI accessible to everyone.
— Matt Sanchez, Founder & CTO