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Professional Services Leaders_ Map a Plan for Cost-Cutting, or Get Cut

Professional Services Leaders: Map an AI Plan for Cost-Cutting, or Get Cut

What to do when your clients want to cut costs?

Help them cut costs, and be part of a bigger vision beyond cost-cutting.

AI for Fraud Detection in Retail

AI for Fraud Detection in Retail – 2 Powerful Use Cases

Leading retailers - like Walmart, Stop & Shop, and Home Depot - are enhancing their payment and fraud detection systems, using artificial intelligence that learns transaction norms and infers risk from the context of each transaction.

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Executive AI Fluency

Executive AI Fluency – Ending the Cycle of Failed AI Proof-of-Concept Projects

Despite the billions of dollars being poured into AI startups and applications - it is common knowledge that most enterprise AI initiatives fail.

AI for Pandemic Response

Artificial Intelligence for Pandemic Response and Outbreak Tracking

The COVID-19 pandemic has caused incredible disruption in healthcare systems across the world, as well as an immediate demand for innovative solutions to the growing number of coronavirus patients. Many AI vendors are already trying to find ways they can serve this demand through augmenting their machine learning-powered products - from diagnostics interfaces to radiology solutions and everything in between. 

Artificial Intelligence at Mitsubishi UFJ Financial - Current Initiatives

Artificial Intelligence at Mitsubishi UFJ Financial – Current Initiatives

Mitsubishi UFJ Financial (MUFG) is a Japanese holdings bank and financial services company ranked 5th on S&P Global’s list of the top 100 banks, and the largest Japanese bank on the list.

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Machine Learning in Payments - an Overview in Disruptive Times

Machine Learning in Payments – an Overview in Disruptive Times

The coronavirus pandemic has ushered in a new era of digital payments; those who once mailed checks and made purchases in person are now paying their bills electronically and shopping online. As the economy is rattled by the coronavirus, there are some AI startups in the payments space that will succeed and others that will fail. All are pivoting rapidly to eCommerce, if that wasn't already their focus to begin with.

AI-Based Enterprise Search for Claims Processing and Fraud Detection

AI-Based Enterprise Search for Claims Processing and Fraud Detection

Large insurance companies have been experimenting with AI since the middle of the 2010s, piloting chatbots and collecting telematics data for future AI projects. The insurance industry more than many others relies on the collection of data to make critical business decisions.  Whether writing policies, or processing claims efficiently the way insurers employ data will determine the lifetime value of the customer.  

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How to Deploy AI for Fraud Detection in Financial Services

How to Deploy AI for Fraud Detection in Financial Services

Fraud, money laundering, and other cyber crimes often increase in times of economic strife, and the pandemic is no different. In light of the coronavirus crisis, we believe that fraud detection applications are among the AI use-cases that are most likely to be adopted and deployed even when funds dry up for other kinds of more long-term, strategic innovation investments.

Artificial Intelligence at Barclays - Current Initiatives

Artificial Intelligence at Barclays – Current Initiatives

Barclays is a UK bank ranked 20th on S&P Global’s list of the top 100 banks. Like other top banks, Barclays has forayed into AI for a variety of use-cases. The bank seems to work with AI vendors more than it builds AI applications in-house, which aligns with the general trend of AI adoption in financial services: 68% of the AI products we researched as part of our AI Opportunity Landscape research in financial services were bought from vendors.

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Artificial Intelligence and the Future of Supply Chain and Logstics

Artificial Intelligence and the Future of Supply Chain and Logistics

Supply chains contain every material, component, product and packaging for the objects that together compose the world we live in. However, there is an often invisible ingredient to successful supply chains: data.