×

AI Engineering
Articles
Articles on our Artificial Intelligence Platform & Hyper-personalization

Articles

Articles
Articles | Wednesday, March 4, 2020
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 to trust these dynamically evolving digital systems . . .
Learn more »

Articles
Articles | Friday, February 7, 2020
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 . . .
Learn more »

Articles
Articles | Wednesday, February 5, 2020
Implementing AI Trust in Customer Experience

In 2019, Ovum conducted a market survey and analysis among customer experience (CX) managers and customer-facing employees regarding the current state of their company AI strategies as well as future plans and visions . . .
Learn more »

Articles
Articles | Wednesday, November 13, 2019
Global AI Award for Responsible AI and Ethics

We are so excited to announce that CognitiveScale has won Global AI Awards 2019-2020 in the Award for Responsible AI and Ethics category! Certifai is the world's first AI Risk Scanner application that detects and scores vulnerabilities in any black-box AI model . . .
Learn more »

Articles
Articles | Tuesday, September 24, 2019
AI in Healthcare: Cognitive Payment Integrity

Payment integrity is a main focus area for a number of compelling AI use cases.  From the algorithms and models that can help detect fraud, waste and abuse (FWA) to data aggregation and analytics tools, AI is positioned to improve detection, investigation and recovery processes . . .
Learn more »

Tags for this resource
Share this page