AI Sector Overviews Articles and Reports

Artificial intelligence “sector overview” reports are designed to help business leaders explore the possibilities and important AI trends across industries. Search our sector overview reports below:

Artificial Intelligence in Home Robots – Current and Future Use-Cases

Artificial Intelligence in Home Robots – Current and Future Use-Cases

The International Federation of Robotics reports that the U.S. service robot industry, which includes both industrial and domestic sectors, is a $5.2 billion market. It also estimates that home robots or domestic robots will contribute $11 billion in revenue by 2020.

How AI and IoT Are Gradually Entering Indian Telecom Companies

How AI and IoT Are Gradually Entering Indian Telecom Companies

The Indian telecom sector has been going through consolidation phase with the major players vying for the lucrative data services market, which is estimated to be worth 950 billion rupees by 2020, growing at a compounded annual rate of 21 percent, as per a report from Business Line. Bharti Airtel has consolidated its position as the No. 1 player with its acquisition of Tata Teleservices’ mobile business and Vodafone’s acquisition of Idea will really change the pecking order, the report suggested.

Diagnosing and Treating Depression Using AI/ML

Diagnosing and Treating Depression with AI and Machine Learning

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.

Artificial Intellgience in Security 950×540 (1)

AI in Biometrics and Security – Current Business Applications

Biometric solutions are typically used for security and access control across businesses and government organizations. The U.S. government has taken keen interest in biometric applications and has been aggressively funding advanced research programs in businesses that offer biometrics.

Artificial Intelligence Applications for Treating Heart Disease

Artificial Intelligence Applications for Treating Heart Disease – 6 Current Use Cases

Heart disease is the leading cause of death in the United States and currently affects an estimated 28.4 million Americans. According to a report published by the American Heart Association, in 2016, the economic burden of cardiovascular diseases (category of heart and blood vessel diseases) totalled $555 billion and is projected to reach $1 trillion by 2035.  

Machine Learning for Managing Diabetes: 5 Current Use Cases

Machine Learning for Managing Diabetes: 5 Current Use Cases

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).

AI in Medical Devices - Three Emerging Industry Applications

AI in Medical Devices – Three Emerging Industry Applications

Medical devices sector, part of the $3 trillion healthcare industry in the United States, is an area of growth and innovation where researchers and manufacturers are seeking to integrate accuracy with automation. According to the most recent data reported by SelectUSA, (a program within the International Trade Administration at the U.S. Department of Commerce), the United States held 40 percent of the $140 billion global medical device market in 2015.

Machine Learning for Healthcare Operations Software -

Machine Learning for Healthcare Operations Software – Risk Management, Clinical Care, and More

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.