AI Articles and Analysis about Business intelligence and analytics

Explore articles and reports related to artificial intelligence for business intelligence and analytics, including applications in forecasting, predictive analytics, text analysis, and more.

Cultivating ‘Value Driven Data’ in Insurance-1-min

Cultivating ‘Value Driven Data’ in Insurance – with Edosa Odaro of Tawuniya

Business processes are defined in large part by the data within an organization. Value-driven data, by definition, represents higher-quality data. The importance of high-quality data cannot be overlooked. Research from MIT, even from before the pandemic AI boom, showed that insufficient data can cost as much as 25% of the revenue for most companies.

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. 

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.

AI Adoption in Storytelling and Procurement – v.1-1-min

AI Adoption in Storytelling and Procurement – with Edmund Zagorin of Arkestro and Len DeCandia of Johnson & Johnson

This interview analysis is sponsored by Arkestro 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.

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. 

Overcoming Cultural and Technological Hurdles for AI Integration in Life Sciences-1-min

Overcoming Cultural and Technological Hurdles for AI Integration in Life Sciences – with Daniel Ferrante of Deloitte

Far beyond surface-level 'chatbot' software, and other customer-facing support systems, the same generative AI (GenAI) capabilities having direct impacts across language workflows in front-office tasks in financial and legal services is also having a direct impact on how research teams in the life sciences space are targeting solutions for rare diseases and novel treatments. 

Driving Patient Access and Decreasing Tech Debt in Healthcare with AI-1-min

Driving Patient Access and Decreasing Tech Debt in Healthcare with AI – with Aaron Chamberlain of Intermountain Health

Headquartered in Salt Lake City, Utah, Intermountain Health is a not-for-profit healthcare system comprised of 385 clinics and 33 hospitals dedicated to creating healthier communities and helping patients thrive. Intermountain Health merged with SCL Health in 2022 and now employs more than 58,000 people. They serve patients in Kansas, Colorado, Utah, Nevada, Wyoming, Idaho, and Montana.

Business intelligence and analytics

Explore articles and reports related to artificial intelligence for business intelligence and analytics, including applications in forecasting, predictive analytics, text analysis, and more.