AI Articles and Analysis about Business intelligence and analytics

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.

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.

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.

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.  

Episode summary: This week, AI in Industry features Dr. David Franke, Chief Scientist at Vast. David talks about how AI can work with scarce transaction data to derive meaningful analytics for big purchases, such as cars and houses. He elaborates on how the AI can glean information from user interaction and marketplace data to provide customers with the relevant product fit, deals and recommendations on big purchases. He also discusses the future trends and business benefits for early adopters of AI for purchase recommendations of high-cost items. 

Episode Summary: This week’s episode covers the medical applications of machine vision for the diagnosis and treatment of cancer. Medical science has integrated AI since the late 90s, and it’s been useful in the fight against cancer. This week’s guest is Dr. Alexandre Le Bouthillier, founder of Imagia. Imagia is a medical imaging company which specializes in using AI and machine learning to detect cancer in its early stages so that oncologists can make quicker, more accurate diagnoses for patients.

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.

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.