Latest AI Articles:

The en masse shift to online shopping that transpired during and post-COVID appears as if it's destined to last. According to the Brookings Institute, one third of US adults have used delivery apps to order from a restaurant or store in the last year. 

AI and machine learning are increasingly used across use cases throughout the insurance industry. Examples include automating underwriting, streamlining claims processing, improving customer service, and predicting customer risk.

A cyber attack on a large-scale government IT services provider, SolarWinds, in 2019 allowed the hackers behind it to gain access to various high-profile entities, including email access to the US Departments of Treasury and Justice. The case highlighted that a cyber attack on one company could have drastic ripple effects across vital network systems. 

Many of today's most popular digital products — from video games to social media and beyond — owe their popularity (and profitability) directly to their addictive potential. 

Banks and banking AI vendors turn to Emerj to help them maximize ROI by allocating their funds to the most high-need areas. Our research also helps them make smarter decisions by identifying the projects that are more accessible and have the highest chance of resulting in near-term financial returns. 

‘Know Your Customer (KYC)’ compliance is what is commonly referred to by a legally-mandated, globally developed set of guidelines to ensure that banks, financial institutions (FIs), and other related enterprises perform due diligence on potential customers. The purpose is to verify customer identity as well as the legitimacy and risk involved with developing and maintaining a business relationship.

It is exceptionally difficult to get started, much less succeed, in AI adoption if one does not have at least a foundational education, particularly in those “modules” pertaining to AI capabilities, requirements, and organizational readiness. A business wanting to implement AI must understand the current state of adoption and how this current state matches up against AI readiness requirements.

Like other legacy and document-dominated sectors, insurance is experiencing a digital transformation with AI as the main driver. AI and machine learning are enhancing everyday insurance processes, including quote generation, claims processing, personalized policy recommendations, claims fraud detection and prevention, and various customer-facing tasks.

While the steel industry may not be synonymous with AI adoption, steel manufacturers are not different from any other business in ensuring efficiency in their output and throughput. There are almost certainly opportunities for AI implementation across an industry worth hundreds of billions of dollars that currently lags behind in adopting AI technology.

Among financial cybercrime, money laundering is among the top concerns of global authorities today. In a poll for INTERPOL's inaugural Global Crime Trend report released earlier this year, 67 percent of nations ranked money laundering as their number one crime threat.