Artificial intelligence (AI) has been one of the most important technologies throughout the 21st century, and it continues to gain prominence today. In fact, a PwC study of 2,500 U.S. consumers found that 72% of business decision-makers see AI as offering a noticeable business advantage. This indicates that industry leaders are recognizing the value of implementing artificial intelligence into their mobile strategies.
The workplace is becoming increasingly more sophisticated thanks to mobile apps that employ technologies such as artificial intelligence (AI). With AI, machines perform complex human tasks, often in a fraction of the time it requires humans to do so and with higher accuracy.
Class is back in session, and there’s an exciting new kid in the world of academia: artificial intelligence (AI). The technology is changing the way lecturers teach and students learn by enhancing the role of mobile applications in the classroom and creating a more personalized educational experience.
Artificial intelligence (AI) provides actionable solutions to common problems in various industries. It is especially useful in the world of healthcare, as AI is helping to solve a number of roadblocks that the industry has been facing for decades.
The classroom has long been considered a human endeavor that relies on the knowledge and wisdom of trained professionals, but technology is quickly becoming a more integral part of academics. One of the most recent technologies to enter the academic sphere is artificial intelligence (AI), and you can expect this trend to continue over the coming decades.
Artificial intelligence (AI) and machine learning have emerged as two technologies that could dramatically affect blockchain and all the people, organizations and companies that use this technology. But blockchain is essentially a distributed ledger which is known for its reliability and simplicity, so how does machine learning and AI improve this already-innovative technology? Well, to appreciate the potential role of artificial intelligence and machine learning, it’s essential that you understand exactly how these two technologies are used.
It’s common knowledge that security breaches can be costly and downright disastrous for a brand’s public image and trustworthiness. Think of the Starbucks app debacle of May 2017, when hackers accessed the app and loaded money using the credit cards on file for hundreds of different customers. That single incident had coffee drinkers uninstalling the app in droves, while the Starbucks customers who kept the app on their devices had their trust seriously rattled.
The power of machine learning to benefit mobile apps is remarkable. Although machine learning technology was initially conceived by tech pioneer Arthur Samuel while working at IBM in 1959, it has only recently entered the mainstream. An increasing number of app developers are opting to use machine learning in conjunction with other cutting-edge technologies such as artificial intelligence and predictive analytics.
Remember when artificial intelligence (AI) was the stuff of science fiction? Not long ago, AI was a cool and novel technology that seemed to dwell in the distant future. But today, AI is part of the mainstream, with virtual assistants and other AI technology included on nearly every modern mobile device.
When you hear the term “artificial intelligence” or “AI,” a futuristic piece of technology probably comes to mind, such as a highly realistic android like those depicted in the film iRobot. But in reality, artificial intelligence technology spans a much broader realm, and many developers are looking at new, innovative ways to use AI for mobile apps.