We all have preconceived notions based on our life experiences, which can sometimes create a flawed sense of intuition. Such human bias can negatively impact our decisions, especially in professional settings such as a college admissions office or a job recruitment company.
Machine learning (ML) is one of the most important technologies of the last decade, and it shows no signs of slowing down. This technology can gather vast amounts of data and then identify patterns in that data, thereby providing valuable insights for businesses.
Businesses of all sizes know that the key to successfully selling a product or service is how you market it, who you market it to and when you do so. Machine learning and predictive analytics (PA) play an important role in marketing campaigns by using clusters of data to determine factors regarding consumer behavior.
A surprising number of apps are starting to use machine learning and artificial intelligence (AI) technology to do everything from predicting purchase behaviors to adjusting a home’s thermostat to the resident’s ideal temperature for a particular time of day. But what else can this technology do? Well, machine learning and AI can combine to transform many of the experiences you encounter throughout the course of everyday life. Read More
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.
Machine learning powers many of today’s most innovative technologies, from the predictive analytics engines that generate shopping recommendations on Amazon to the artificial intelligence technology used in countless security and antivirus applications worldwide. But like any form of technology, it’s not entirely perfect. So, let’s examine the pros and cons of machine learning and how they may impact you and your company’s goals.
Machine learning algorithms have gone a long way toward transforming our digital experience, whether we’re online, using a mobile app, interacting with a piece of desktop software or leveraging the tools within an enterprise app. And while few people really appreciate the machine learning algorithm—or even realize it exists—it’s a remarkable piece of technology that is unique in terms of its adaptation capabilities and overall efficiency. As more and more mobile apps are built each month, an increasing number of developers are leveraging the many advantages of machine learning algorithms. But what are these benefits and how do they affect your mobile app, its budget and its overall capabilities?
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.