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:
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.
Before getting into this report, we have to inform readers that none of the companies discussed below claim to offer software that provides diagnostics, except Cognoa, which has FDA approval to call itself a diagnostic tool. We suspect this is because these companies are not legally allowed to do so. We usually don't refer to a dictionary to determine what constitutes a concept, preferring to create our own informed definitions, such as in our What is Machine Learning? piece, but Merriam Webster defines "diagnosis" as the following: "the art or act of identifying a disease from its signs and symptoms."
The banking and financial sectors are among the top five applications for artificial intelligence across the globe. With India seeming to have woken up to the potential of AI, we decided to cover the developments in the Indian artificial intelligence sector. We then researched the use of AI in the Indian financial services market to better understand where AI comes into play and to answer the following questions:
MicKinsey estimated that by 2030, up to 15% of cars sold will be autonomous vehicles. We detailed our own timeline for self-driving cars, pooling quotes and insights from executives at the top 11 global automakers.
In 2017, Equifax’s systems were compromised by hackers, and the data of over 143 million Americans was exposed. Other incidents, such as the WannaCry and Petya ransomware scams, have highlighted the vulnerabilities in financial cybersecurity globally. According to the Global Banking and Finance Review, such cyber attacks have cost nearly USD 360 billion per year in losses for each of the last three years.