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:
Forrester surveyed call center business leaders and found that 46% of them expect their business to grow by 5%-10% in 2019. To make this happen, Forrester reports that companies will increasingly explore the use of AI-driven chatbots and voice services.
International Data Corporation reports that the global wearables market continued to grow in the second quarter of 2018 as shipments reached 27.9 million units, an increase of 5.5% year-on-year. This growth translated to $4.8 billion year-on-year for the quarter. Smartwatches continued to be the most popular wearables.
Reuters referenced a Stratistics MRC figure estimating the size of the business intelligence industry around $15.64 billion in 2016. It follows that AI would find its way into the business intelligence world. In our previous report, we covered 6 use-cases for AI in business intelligence. As of now, numerous companies claim to assist business leaders in the finance domain, specifically, in aspects of their roles using AI.
Several factors have contributed to the advancement of AI in the pharmaceutical industry. These factors include the increase in the size of and the greater variety of types of biomedical datasets, as a result of the increased usage of electronic health records.
The clinical trial is a foundational pillar of the pharmaceutical drug discovery process. Essentially, clinical trials are research studies which seek to determine if a medical treatment or device is safe and effective for humans. While the pharmaceutical drug industry has experienced some fluctuations it remains a profitable market. Global prescription drug expenditures are estimated to reach nearly $1.5 trillion by 2021 according to Quintiles IMS Holding.
In our previous report, we covered the current use cases for AI in construction and building. As of now, numerous companies claim to assist building maintenance managers in aspects of their roles from optimizing energy usage in building to improving the comfort of building occupants.
With the entrance of artificial intelligence and its capabilities of recognizing temperature, vibration, and other factors from sensors pre-built into machinery and vehicles, business leaders in heavy industry might be interested in the possible opportunities of predictive and preventative maintenance applications.