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RESOURCES
Industry: Banking
AI Engineering Platform articles and resources

Banking AI Engineering Resources

Reports
Reports | Wednesday, September 28, 2022
CB Insights: Game Changers 2022

CognitiveScale is featured in a CB Insights report on "Game Changers 2022." We are listed as one of the nine technologies that could change the world. In addition, we are listed as one of the top three AI auditors that are helping create safer, more accurate AI models. . . .
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Video
Video | Thursday, September 15, 2022
Profile-of-One

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. . . .
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Articles
Articles | Wednesday, July 13, 2022
AI-Powered Personalization Drives Improved Customer Engagement

According to McKinsey research, shoppers have a strong point of view on personalization. 72% said they expect the businesses they buy from to recognize them as individuals and know their interests. Furthermore, over 76% of consumers said that receiving personalized communications was a key factor in prompting their consideration of a brand, and 78% said such content made them more likely to repurchase. Personalization is especially effective at driving repeat engagement and loyalty over time. . . .
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WhitePaper
WhitePaper | Friday, June 3, 2022
Enhance Customer Data Initiatives with AI-Powered Personalization

Most organizations are looking to leverage their customer data and the insights generated from it in order to improve customer experience and drive value. Customer Data Platforms (CDPs) can be a key component of these initiatives, enabling clients to aggregate client data and make it available to solutions that generate client insights. . . .
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WhitePaper
WhitePaper | Tuesday, May 31, 2022
AI-powered Personalization Across the Customer Journey

Leveraging Artificial Intelligence (AI) will improve the customer journey across the enterprise, from personalized shopping experiences and customer acquisition use cases to contextualized customer engagement and customer service. . . .
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Articles
Articles | Thursday, July 16, 2020
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 distrust to their algorithms . . .
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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 . . .
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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 . . .
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Articles
Articles | Wednesday, April 3, 2019
3 Critical Questions About Augmented Intelligence

the real power of AI is not about replacing what humans do, but rather augmenting it. We call this Augmented Intelligence (AI), i.e. pairing humans with machines, to help them do their jobs better—and more efficiently . . .
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CaseStudy
CaseStudy | Tuesday, April 17, 2018
Trading Insights Case Study

Learn how a global financial services company used augmented intelligence from CognitiveScale to drive new trading insights . . .
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CaseStudy
CaseStudy | Tuesday, April 17, 2018
Shopper Engagement and Conversion Case Study

Learn how a research team at a global bank used augmented intelligence from CognitiveScale to automate the smart push of insights to replace the manual pull of external news and easy-to-miss internal data . . .
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