AI Articles and Analysis about Data collection

Data collection is the process of gathering and measuring information on targeted variables in an established systematic fashion, which then enables one to answer relevant questions and evaluate outcomes.

Driving AI Adoption
in Insurance-1-min

Driving AI Adoption in Insurance – with Ryann Foelker of American Family Insurance Group

As a rule, AI adoption tends to take more time for legacy industries compared to digitally-native sectors. As a profile from June 2021 in Harvard Business Review explains, insurance companies are data-rich but have long relied on actuarial approaches to data and analytics.  The insurance industry has several concerns regarding the integration of AI. Insurance companies obviously have regulatory compliance as a top priority, so any AI solution implemented needs to comply with existing regulations regarding consumer protection and data security, among others. 

Artificial Intelligence at Electric Boat-min

Artificial Intelligence at General Dynamics Electric Boat

General Dynamics Electric Boat, a subsidiary of the General Dynamics Corporation founded in 1899, has set high standards in designing, building, and supporting submarines for the U.S. Navy. Its primary operations include a shipyard in Groton, CT, an automated hull-fabrication facility in Quonset Point, RI, and an engineering building in New London, CT. With over 14,000 employees, Electric Boat maintains a robust workforce dedicated to its mission of "designing, constructing, and providing life cycle support to the world's finest submarines."

The Market and Tech Forces Shaping the Future of Software Development-1

The Market and Tech Forces Shaping the Future of Software Development – with Tsavo Knott of Pieces

This article is sponsored by Pieces and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

Easing Patient Pain Points Between Healthcare and Insurance Workflows – v.3-1-min

Easing Patient Pain Points Between Healthcare and Insurance Workflows – with Tom Hayes and Gareth Dabbs of IQVIA

The applications of AI in the healthcare and life sciences industries are vast, with data-powered algorithms and analytics promising to upend the status quo. Applications, including the use of AI to interpret medical imaging, optimize drug discovery and development, analyze large-scale data sets to identify patterns among patient populations, and streamline provider workflows, are already transforming the industry. 

Financial Services Challenges and Solutions
in the Age of Generative AI-min

Financial Services Challenges and Solutions in the Age of Generative AI – with Fabrizio Burlando of Mastercard

Over the last decade, public introductions of advanced technologies from big tech firms, such as Google Glasses and Meta's (then-Facebook) Metaverse platform, were met with infamous disappointment. In stark contrast, initial iterations of generative AI (GenAI) in large language models and other tools deployed across the global economy by smaller players like OpenAI in the last few years are having a far more lasting impact. A recent report from McKinsey noted that the staying power of GenAI could add $2.6 trillion to 4.4 trillion USD annually to the global economy.

Driving Partnerships and Prioritization Strategies for AI in Financial Services-1-min

Driving Partnerships and Prioritization Strategies for AI in Financial Services – with Julie Winkler of CME Group

Where new, emerging capabilities in AI mean new opportunities for financial institutions – especially those that operate financial exchanges, where data and predictive analytics are paramount – the palpable risk of failure in AI adoption initiatives can prove a significant hurdle. 

Automation and Augmentation in Development Tools

Automation and Augmentation in Development Tools – with Tsavo Knott of Pieces

Whether or not AI will replace humans depends on who you ask. Opinions vary, but part of the difficulty of answering the question has to do with the difficulty of quantifying what even counts as AI from a technology standpoint.

Header graphics – Humana-min

Artificial Intelligence at Humana

Humana Inc. is the fourth most significant health insurance provider in the U.S. Founded in 1961, Humana is based in Louisville, Kentucky. Humana was ranked 42 on the Fortune 500 list in 2023. Humana employs over 67,000 individuals and is one of the most prominent publicly traded managed care companies in the U.S. 

Data collection

Data collection is the process of gathering and measuring information on targeted variables in an established systematic fashion, which then enables one to answer relevant questions and evaluate outcomes.