Search Results for: Natural Language Processing – Business Applications

Depression is a leading mental disorder impacting about 16 million Americans. According to the World Health Organization, the annual global economic impact of depression is estimated at $1 trillion and is projected to be the leading cause of disability by 2020.

Diabetes is a leading chronic disease that affects more than 30 million people in the United States. The disease results from high blood glucose (blood sugar) due to an inability to properly derive energy from food, primarily in the form of glucose. Insulin is a hormone that normally helps process glucose in the body. However, in the case of diabetes, insulin is inadequate (Type 2 diabetes) or obsolete (Type 1 diabetes).

The healthcare analytics market continues to gain traction as the healthcare industry transitions to a value-based care model. Value-based care focuses on quality of care delivery as opposed to volume of patients served. There are great opportunities for data analytics due to the high volume of information that must be routinely collected, tracked and interpreted, particularly in the hospital setting. Examples of value-based care programs in the hospital setting include the Hospital Value-Based Purchasing (HVBP) Program and the Hospital Readmission Reduction (HRR) Program.

The amount of data companies have on customers and the number of channels customers are using to interact with businesses have grown significantly in the past decade. Artificial intelligence may hold great promise in optimizing customer and client interactions.

Episode summary: In this episode, we talk to Murali Aravamudan, Founder and CEO of AI-driven drug discovery startup Qrativ, a joint venture by the Mayo Clinic and biotech/data science firm nference. Murali and I discuss the surge of medical information and data in the medical industry, the role of artificial intelligence in developing drugs for treatments to various diseases, and the future of AI in drug discovery.

eCommerce is a bustling segment of the retail industry representing an estimated $102.7 billion or 8.3 percent of total U.S. retail sales in 2016. Total retail trade was approximated at 5.9 percent of the national GDP in 2016. As digital transactions become the standard method of purchasing goods and services, leading eCommerce firms are exploring how AI can enhance brand competitiveness and customer loyalty.

The insurance industry is a competitive sector representing an estimated $507 billion or 2.7 percent of the US Gross Domestic Product. As customers become increasingly selective about tailoring their insurance purchases to their unique needs, leading insurers are exploring how machine learning (ML) can improve business operations and customer satisfaction.

The applications of AI in pharma are building momentum, but we wanted to look beyond the hype and find the underlying trends that matter in business.

Smartphone manufacturers are trend-setters for innovations in the mobile and consumer electronics space at large. The convenience and integral role of mobile technology in the everyday lives of consumers have contributed to the estimated 77 percent of Americans who own a smartphone. It's no wonder so many of the smartphone applications we use every day leverage artificial intelligence to improve the user experience.

Despite the massive venture investments going into healthcare AI applications, there's little evidence of hospitals using machine learning in real-world applications. We decided that this topic is worth covering in depth since any changes to the healthcare system directly impact business leaders in multiple facets such as employee insurance coverage or hospital administration policies.