AI for Theft Prevention and Process Adherence - with Alan from Everseen

AI for Theft Prevention and Process Adherence – with Alan O’Herlihy from Everseen

Episode summary: In this episode, we speak with Alan O'Herlihy, Founder and CEO of Ireland-based Everseen. Alan speaks to us about how machine vision systems can be used to detect theft or mistakes at a checkout counter (including forgetting to scan items, customers intentionally hiding items, and more). Alan not only explains where these technologies are in use today, but he also breaks down some of his own predictions about what these computer vision systems might make possible in the workplace of tomorrow.

Simple Applications of NLP with Jan Veldsink@2x

Simple Applications of NLP in Banking Compliance – with Jan Veldsink of Rabobank

An operational compliance framework is critical for banks and other financial institutions (FIs). However, it is a tremendous challenge to constantly and uniformly comply with regulations, guidelines, and laws, given the complexity and immensity of legislation.

Artificial Intelligence 
at Abbott@2x

Artificial Intelligence at Abbott – Two Current Use-Cases

Abbott Laboratories (NYSE symbol: ABT) is an American multinational healthcare and medical devices company based in Abbott Park, Illinois. Known for its medical device and pharmaceutical products, the company reported net sales of $43.1 billion in 2021.

Accelerating Lending 
and Underwriting@2x

Accelerating Lending and Underwriting – 3 AI Use Cases

The era of humans serving as sole agents for lending and underwriting is no more. Machine learning and AI are now more ubiquitous within financial institutions and insurance companies, thanks in no small part to the automation of lending and underwriting processes. 

What AI Can Mean for AML and KYCC with Bob Gaines@2x (1)

What AML and KYCC Compliance Will Look Like in the Age of AI – Examining Two Use Cases

In 2020, fines for Anti-Money Laundering (AML) noncompliance reached $2.2 billion, up nearly 400% from 2019, according to Kroll data. The trend continued into 2021. Through June 30, AML fines totaled $994 million, suggesting another year of strict regulatory enforcement action. 

China’s Advantages in the Metaverse 950×540 (1)

China’s Metaverse Advantages: How the West Could Lose its Digital Supremacy

When Facebook bought Oculus in 2014 for over a billion dollars, it was an investment ahead of its time. For years virtual reality remained an interesting novelty and little more.

_Discovering Automation and AI Opportunities in Financial Services – with Christophe Makni of Basler Kantonalbank 950×540

Discovering Automation and AI Opportunities in Financial Services – with Christophe Makni of Basler Kantonalbank

As AI automation (aka, “intelligent automation,” or IA) in financial services quickly becomes mainstream, it attracts increased stakeholder interest as firms explore the possibility of unlocking value via increased efficiency, cost reduction, and enhanced predictive capabilities.

How Financial Services Organizations with Tanvi Singh@2x

How Financial Services Organizations Can Become Truly Data Driven – with Tanvi Singh of UBS

Like many legacy and document-heavy industries in 2022, the entire financial services sector is undergoing a transformation through AI capabilities. These technologies have successfully disrupted many systems and processes once considered sacrosanct: personal financial transactions, collection and analysis of consumer data, personalized offerings of financial products and services, and more.

Artificial Intelligence at Dow Chemical 950×540

Artificial Intelligence at Dow Chemical – Two Use Cases at the World’s Largest Chemical Company

Dow Chemical (NYSE symbol: DOW) is the largest chemical manufacturing company in the United States, the third largest in the world, and has a market cap of $38.2 billion. 

Data Collection and Enhancement Strategies for AI Initiatives in Business

Data Collection and Enhancement Strategies for AI Initiatives in Business

There’s more to successful AI adoption than picking the right technology. Business leaders should be aware of the technical requirements of the initiative they’re undertaking, and few of those requirements are as important as data.