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:
Historically, space has been an industry only governments and heavyweight airspace corporations (such as Boeing) could handle. Uses of AI in space technology might be expected to be even more expensive, but the last decade of innovation has made space more accessible - and thanks to AI - data from space is becoming much more useful for businesses and governments.
As a business leader, you know the essential role of telecommunications in running a business. In the digital era, the telecom industry has shifted from basic phone and Internet service to a sector that is going high-tech and constantly evolving into a more mobile, wearable and automated environment.
Real estate is a cost for nearly every business, whether leasing, owning or managing.
Process automation from AI offers a tremendous opportunity to lower costs associated with commercial real estate, especially those associated property management.
While tech giants tend to hog the limelight on the cutting-edge of technology, AI in banking and other facets of the financial sector is showing signs of interest and adoption even among the banking incumbents.
High costs and technical limitations kept the uses of drones relatively limited until recently. After significant excitement starting around 2012, the FAA's 2016 adoption of regulations - combined with the drop in price - has made drones an economically viable option for a broad range of commercial functions.
Burger flipping is often used as derogatory shorthand for low-skilled, low-tech work, but fast food companies have been making major investments in automation, apps, analytics, artificial intelligence, and robotics. We set out to ask the questions that business leaders would need to know:
There’s a lot of buzz about artificial intelligence shaking up enterprise procurement over the next five years. Procurement leaders wonder what elements of their jobs will be augmented - or even fully automated - by the intelligent systems. Which roles are secure from full automation, and how will more “automate-able” jobs have to adapt in the years ahead?