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:
Chronic Kidney Disease (CKD) affects approximately 1 in 7 adults or an estimated 30 million Americans. CKD is characterized by kidney damage which impedes proper filtration of the blood. As a result, other health problems may occur due to excess fluid and waste in the body. According to the American Society of Nephrology, annual health care costs associated with treating kidney (renal) failure are estimated at over 32 billion.
Agriculture plays a vital role in India’s economy. Over 58 percent of the rural households depend on agriculture as their principal means of livelihood, according to an IBEF report. Agricultural exports constitute 10 percent of the country’s exports and is the fourth-largest exported principal commodity category in India.
To stay competitive and relevant in the fast-changing world led by digital, India’s leading IT services companies, well-known for their cost-competitiveness, have begun leveraging more artificial intelligence (AI) initiatives as the technology has continued to gain traction.
Dementia (a severe decline in mental ability) is ranked as the sixth leading cause of death in the United States and impacts an estimated 5 million Americans. According to the Alzheimer’s Association, health care costs associated with dementia totaled $259 billion in 2017 and are projected to reach $1.1 trillion by 2050.
The number of persons aged 60 or above is expected to grow from 962 million globally in 2017 to 2.1 billion in 2050 and 3.1 billion in 2100, according to a United Nations report. In the United states alone, the healthcare industry employs over 4.5 million nursing aides and orderlies and home health aides and personal care aides.
In a white paper about the digitalization of the chemistry and advanced materials sector published by the World Economic Forum and Accenture, total global chemical sales in 2014 amounted to $3.5 trillion and is expected to rise to $6.9 trillion by 2030.
The transportation domain is beginning to apply Artificial Intelligence (AI) in mission-critical tasks (for example, self-driving vehicles carrying passengers) where the reliability and safety of an AI system will be under question from the general public. Major challenges in the transportation industry like capacity problems, safety, reliability, environmental pollution, and wasted energy are providing ample opportunity (and potential for high ROI) for AI innovation.
After a presentation at the Shop!Association’s national conference late last year, I had plenty of time to chat with retail business people about their own ideas about AI’s uses, and the trends that matter most. This prompted me to gather my thoughts and combine the ideas of retailers with the AI-in-retail research we’ve done, and put together a piece to help retail vendors make sense of the next 2-3 years of AI’s influence in retail.