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Cortex Inclusion Advocacy
Helping Healthcare organizations manage the risk associated with potential bias, fairness, and explainability in AI solutions. ... Read more »
Cortex Trust and Governance
Cortex Certifai provides explainability, fairness, robustness, and compliance to your applications—the anchors of trustworthy Artificial Intelligence ... Read more »
AI Composition
CognitiveScale's Award Winning AI Engineering Platform offers a faster, more reliable way to connect data and AI models with trusted outcomes. Scale, streamline and industrialize your AI development to drive greater value across the enterprise ... Read more »
AI Engineering Platform
Build and manage trusted Artificial Intelligence platform solutions that integrate with existing systems, data and your cloud with our Award Winning platform ... Read more »
AI Application Development is a Team Sport
Enterprise AI is a team sport that requires various roles and functions to collaborate in order to deliver resilient, repeatable AI-powered solutions at scale. ... Read more »
Systemic Bias in Financial Services_ Fixing a Growing AI/ML Problem
As computational analytics, including Artificial Intelligence and Machine Learning (AI/ML), gain greater traction and an almost essential status in the processing of massive volumes of data, their ubiquity and often inherent predilection for incorrect outcomes have brought both skepticism and distru ... Read more »
PPP Distribution Inequities: How AI Solutions Can Eliminate Bias
No doubt, given the COVID-19 pandemic, there are tough times for everyone, both personally and professionally. Enough said. Those businesses deemed non-essential and already operating on a fiscal shoestring remain in more dire straits than ever. ... Read more »
AI In Model Risk Management Insurance: AI’s Unique Characteristics and Operating Model Impacts
Banks will need to evolve and industrialize their MRM functions in the world of big data and AI since AI based models pose unique challenges in terms of business risk management. ... Read more »
Trusted AI in Healthcare: Avoiding the Risks of Black Box AI Solutions
Spending on Artificial Intelligence (AI) is expected to more than double from $35 billion in 2019 to $79 billion in 2022, according to IDC forecasts, reflecting the enormous potential societal benefits of AI. Yet broad adoption of AI systems will not come from the benefits alone but from the ability ... Read more »
Consumer Lending and Credit: Tackle Business Risks from AI
The key regulatory issues in consumer lending and credit – fair lending, consumer notification and reporting, and unfair, discriminatory or abusive acts or practices – have implications for various AI business risks. Institutions should get ahead of the issue and tackle AI business risks head-on ... Read more »