The Future of Healthcare in Large Language Models@2x-min

The Future of Healthcare in Large Language Models – with Ylan Kazi of Blue Cross

In just the last year, rapid advancements in AI technologies, particularly in natural language processing (NLP), have dramatically impacted virtually every industry. Most recently, large language models (LLMs) have become front and center – driven by the overwhelming popularity of OpenAI's ChatGPT. 

How Culture Holds the Key to Building Exceptional AI Teams@2x

How Culture Holds the Key to Building Exceptional AI Teams – Advice from Leaders at Google, PwC, and Quantcast

In today's rapidly evolving world, pursuing AI excellence has become a top priority for organizations across industries. However, the path to building exceptional AI teams is not solely paved with technical expertise and cutting-edge algorithms. The true key to unlocking the full potential of AI lies in ensuring that the teams leading the charge in enterprise digital transformations are working cohesively.

PLUS
Insurance AI Use-Cases 
and Trends@2x

Insurance Use Cases and Trends – An Executive Guide

Insurers have been long aware of the perfect storm of converging market trends pointing to the permanency of digital disruption and change. Yet, the industry – especially the big players – always seemed to move their collective house further away from the shoreline. 

Intelligent Automation for Enhancing RPA in Banking@2x-min

Intelligent Automation for Enhancing RPA in Banking – Two Use Cases

Critical to the definition of robotic process automation (RPA) is the notion that the tasks a 'robotic' software automates are repetitive by nature, with exceptions in rare instances. While RPA cannot independently learn from and adapt to new contexts and workflow problems, it can if the RPA system is imbued with the correct AI capabilities. 

PLUS
_Life Sciences AI Use-Cases and Trends – An Executive Brief 950×540

Life Sciences AI Use Cases and Trends – An Executive Brief

Like many other economic and industrial sectors, AI is beginning to transform operations across life sciences. In a 2021 survey of life science organizations published by the International Data Corporation (IDC), respondents cited a 65% average increase in AI spending in their organizations over the next year.

Artificial Intelligence at Chevron 950×540

Artificial Intelligence at Chevron

Chevron is the second largest producer of oil in the United States (Exxon Mobil). The company is traded on the NYSE (symbol: CVX) and has a market capitalization of approximately $322 billion.  

Clinical Reporting 
and Drug Discovery@2x

Clinical Reporting and Drug Discovery: An Overview of AI’s Impact in the Pandemic

The importance of AI in the pharmaceutical space has grown exponentially over the last few years, spearheaded by global demand for a COVID vaccine at the pandemic’s apex. Moreover, AI has proven helpful throughout the pandemic, all while providing glimpses into the future promise of the technology. 

Artificial Intelligence at UnitedHealth 950×540

Artificial Intelligence at United Health

UnitedHealth Group, Inc. (NYSE: UNH) is an American multinational managed healthcare and insurance company based in Minnetonka, Minnesota. It offers health care products and insurance services. UnitedHealth Group (UHG) is the world's eighth-largest company by revenue, the second-largest healthcare company behind CVS Health by revenue and the largest insurance company by net premiums. 

AI Impact in EMEA@2x

AI Impact in EMEA – Advice from Leaders in Banking, Insurance, Life Sciences and More

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

MfgUCsTs-

Manufacturing AI Use Cases and Trends – An Executive Brief

Almost no other sector is traditionally slower to technological adoption than manufacturing, in no small part due to the countless challenges of relying on data accrued from physical environments. Yet across industries, manufacturing business leaders are finding that data is finally “waking up” to the nuances and fundamentals of their business operations.