Sharon Moran

Sharon is a former Senior Functional Analyst at a major global consulting firm. Previously, she worked as a machine learning engineer customizing OCR models for a learning platform in the EdTech space.

Articles by Sharon

12 articles
Machine Learning and Large Language Models in Healthcare – with Dr. Arta Bakshandeh of Alignment Health@1x

Machine Learning and Large Language Models in Healthcare – with Dr. Arta Bakshandeh of Alignment Health

AI and machine learning have promising potential in the field of healthcare. However, there is one significant hurdle healthcare companies often encounter when trying to implement AI and machine learning. The data architecture of current legacy systems in healthcare settings prevents implementing many use cases and limits a company’s ability to benefit from these technologies fully.

The Essentials of Wireless Technology Infrastructure for Automotive Manufacturers – with Don McGuire of Qualcomm@2x-min

The Essentials of Wireless Technology Infrastructure for Automotive Manufacturers – with Don McGuire of Qualcomm

Due to technological advancements, automakers are uniquely positioned to benefit from an industry-wide transformation. Technology now allows a direct connection between car manufacturers and the customers who purchase those cars. Such a relationship has never before been possible in the history of the automotive industry.

AI at McKesson@2x-min

Artificial Intelligence at McKesson – Three Use Cases

Founded in 1833 and headquartered in Irving, Texas, since 2019, McKesson is a leading distributor of pharmaceuticals and medical supplies. They also provide health information technology and care management tools.

AI at Cigna@2x-min

Artificial Intelligence at Cigna – Four Use Cases

Founded in 1982, Cigna is a healthcare and insurance company based in Bloomfield, Connecticut. Cigna is a Fortune 15 global company and employs over 70,000 individuals. Cigna offers health, life, and accident insurance. They also offer Medicare and Medicaid products.

AI at Morgan Stanley@2x-min

Artificial Intelligence at Morgan Stanley – Three Use Cases

Morgan Stanley was founded in 1935 and is headquartered in New York City. They are an American multinational investment bank and financial services company recognized as a leader in wealth management. With over $1.19 billion in assets, Morgan Stanley is among the top 15 biggest banks in the world.

The Future of Patient Experiences in Healthcare – with Dr. Nele Jessel of Athenahealth@2x

The Future of Patient Experience in Healthcare – with Dr. Nele Jessel of Athenahealth

The healthcare industry has experienced several changes in recent decades. The Health Insurance Portability and Accountability Act (HIPAA), signed into law in 1996, represents one such change. HIPAA was initially intended to simplify how healthcare is administered. However, the law also contributed to the increased administrative burden for healthcare practitioners. 

Fighting Retail Fraud with Personalization and Classification AI Tools@2x-min (2)

Fighting Retail Fraud with Personalization and Classification AI Tools – with Experts from Instacart, Etsy, and Gap Inc.

This article is sponsored by Riskified, and was written, edited and published in alignment with our transparent Emerj sponsored content guidelines.

001 – Finding _Ground Truth_ In Accounting Workflows – with Michael Hitchcock of Intuit

Finding “Ground Truth” In Accounting Workflows – with Michael Hitchcock of Intuit

While accounting as a discipline has roots going back to the 13th century, current-day accounting software is still based on manual record-keeping just as it was in the 1990s, only with digital checks in a digital checkbook register, allowing users to keep track of their finances on a computer.

002 – Creating Insurance Policies for AI Applications – with Munich Re’s Michael Berger

Creating Insurance Policies for AI Applications – with Munich Re’s Michael Berger

As AI becomes increasingly interwoven in the fabric of our everyday lives, the insurance sector is finding new business challenges and opportunities in all of the ways these emerging technologies bring increased risk - and security - to our lives.

001 – Market Surveillance and AI – Two Use Cases-min

Market Surveillance and AI – Two Use Cases

Market surveillance refers to activity authorities conduct to ensure that products available to consumers adhere to applicable laws and regulations. Additionally, market surveillance in banking and finance takes a somewhat specific form.