CognitiveScale's Cortex Enterprise AI Engineering Platform

CognitiveScale pioneered the concept of 'AI Engineering', paving the way to industrialize scalable Enterprise AI development and deployment. Global leaders in banking, insurance, healthcare and digital commerce use our platform to increase user engagement, improve employee expertise and productivity ... Read more »

Business Goal Optimized AI

A key goal of AI Engineering is to drive value from AI solutions. When Gartner says “By 2025, the 10% of enterprises who establish AI Engineering best practices will generate at least three times more value with their AI efforts than the 90% of enterprises who do not,” they mean that organizations w ... Read more »


Profile of One is part of the Cortex AI engineering multi-modal, multi-persona platform that enables organizations to develop enterprise AI applications with observability and operationalization across the full life-cycle. ... Read more »

AI-Powered Personalization

Personalization is a force multiplier—and business necessity—one that more than 70% of consumers now consider a basic expectation. Furthermore, research shows that personalization most often drives 10 to 15% revenue lift (with company-specific lift spanning 5 to 25%, driven by sector and ability to ... Read more »

New Patents Issued - August 2022

Check out the latest patent issued in the month of August 2022 - Robustness score for an opaque model. A method, system and computer-readable storage medium for performing a cognitive information processing operation. ... Read more »

AI Composition

At CognitiveScale, we talk about the key capabilities of our Cortex Enterprise AI platform including AI-powered Personalization, Business Goal Optimized AI, and AI Trust & Governance. But the foundational capability that these offerings are based on is AI Composition: the ability to build and deplo ... Read more »

Composing AI Applications By Connecting People, Data, and Models

To drive business value from AI initiatives, Enterprise AI teams need an open, flexible platform that supports all the roles necessary to create an AI application. Data Engineers, Data Scientists, ML Engineers, Architects, Application Developers, DevOps Engineers, and Business Analysts are all criti ... Read more »

Improving Healthcare Delivery with AI

The United States Healthcare system has challenges with access, delivery, costs, quality, and more. Artificial intelligence (AI) is seen as one of several key technologies to help improve healthcare, and there are numerous clinical, operational and compliance use cases for AI that are driving improv ... Read more »

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