app comparisons Articles and Reports

Explore head-to-head comparisons of artificial intelligence products and applications, including applications for marketing, finance, and other sectors.

Robo-advisors and Artificial Intelligence - Comparing 5 Current Apps

Robo-advisors and Artificial Intelligence – Comparing 5 Current Apps

Robo-advisors are digital platforms that provide automated, algorithm-based financial planning services with little to no human supervision.

Cybersecurity in Healthcare - Comparing 5 AI-based Vendor Offerings

Cybersecurity in Healthcare – Comparing 5 AI-based Vendor Offerings

The healthcare industry is evolving into an increasingly digital environment, and as a result cybersecurity continues to be a top priority for protecting sensitive data such as financial records and patient medical records.

Chatbots for Travel, Hospita and Tourism - Comparing 5 Current Applications

Chatbots for Travel and Tourism – Comparing 5 Current Applications

A 2017 Nielsen report titled “Young and Ready to Travel (and Shop)” revealed that the millennial generation travels more than any other generation, including Baby Boomers. The report suggests that, unlike previous generations, the travel industry will need to shift in order to cater to the millennial’s unique preferences and “lack of predictability.”

Banking Chatbots - Comparing 5 Current Applications

Banking Chatbots – Comparing 5 Current Applications

Developments in artificial intelligence have had global banks recently integrate online chatbots into their websites and mobile apps. Smaller, newer banks are following this example. The gaining popularity of chatbots could be considered surprising for an industry that handles other people’s wealth and perceives security as top priority.

Restaurant Chatbots – Comparing 5 Current Applications

Restaurant Chatbots – Comparing 5 Current Applications

Just as chatbots are being created for consumers in the hospitality and fast-food industries, technology companies are also serving those restaurants that wish to take advantage of this emerging technology to better their customer service and maximize their productivity—and profitability.

Machine Learning in Email Marketing

Machine Learning in Email Marketing – Comparing 5 Current Applications

Despite the emergence of chat apps and social media over the past decades, email has continued to thrive. A 2017 study from Radicati marketing research claimed that email accounts were expected to reach 4,920 million by the end of 2017, a number that has not changed much since 2013, and that about 100 billion business emails are sent daily.