Search Results for: Natural Language Processing – Business Applications

Athenahealth is a private healthcare company specializing in providing network-powered health services and point-of-care mobile apps. The company’s products and services are designed primarily to enhance patient care, improve operational efficiency and streamline administrative processes.

The introduction of GenAI tools in the enterprise signifies a significant shift in how businesses operate in the current technological landscape. These tools enhance various aspects of daily operations, from data analysis to decision-making processes. 

Cardinal Health is a global healthcare services company with a rich history and a strong focus on providing integrated solutions to the healthcare industry. Established in 1971, the company has become a leading player in the healthcare sector, offering a wide range of products, services, and technologies to enhance patient care, optimize supply chain efficiency, and drive value-based outcomes.

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. 

Although not often regarded as a technological first-mover, the insurance industry has recently seen robust, even rapid, adoption and deployment of AI capabilities, particularly in those related to natural language processing (NLP). 

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.

Voice of the customer (VoC) is a term used in modern business practices to describe customers' feedback about their experience with the products and services both inside and outside any official business channels to make their opinions known. Businesses capture the voice of the customer data to provide the best possible customer experiences. The process needs to be proactive and innovative to capture the customers' changing requirements with time. 

Around five years ago, the promise of chatbots and conversational interface (CI) vendors to significantly enhance operations and customer satisfaction led to a bubble in investment from financial institutions (FIs) and many observers — including us at Emerj — to slap vendors with the "hype" label.

It is not hyperbolic to state that the autoregressive language model known as GPT-3 (short for ‘Generative Pre-trained Transformer 3’) is an unparalleled evolutionary step in content creation. In fact, the potential outputs the model can produce are so advanced that many academics have cited GPT-3 as Exhibit A in calling universities to reconsider what constitutes academic plagiarism. 

The finance industry has evolved quite a long way since the days of the SAC scandal and after being diagnosed with an insider trading epidemic in 2014 by academic studies from McGill and New York University – learning countless lessons along the way.