Articles

There’s no doubt artificial intelligence (AI) is finding a permanent home in several industries. Whether we’re using face ID to unlock our phones, a web mapping platform to find the optimal route back home, or built-in text editor software to make sure our emails are error free, AI technology is at play. It is revolutionizing the way that we work and how we go about our daily lives. 

Artificial intelligence (AI) has proven useful to financial services institutions in multiple ways. From detecting potentially fraudulent charges to automating complex credit and loan processes, AI-powered fintech has proven invaluable when it comes to internally engineering value for financial services institutions.

Artificial intelligence (AI) has become the hottest topic in technology. Its use in the age of digital transformation spans the commercial and public sectors, fueling debate among businesses, lawmakers, and the public. I have been putting pen to paper on the subject for a few years now; having recently joined G2 to nurture the expansion of our AI categories (as well as our analytics, cloud, and security categories), I would like to sum up some of my views, while setting the scene for a more detailed exploration of the technologies, business challenges, and trends shaping AI. 

For decades, researchers and experts have mulled over how artificial intelligence can turn tables for the tech industry.

“Alexa, list all of the hot technology trends for 2019.”

Automation and artificial intelligence (AI) are important, interrelated tools that help organizations streamline their processes and add intelligence to their workflows. They allow businesses to reach organizational goals by automating business processes, whereby they can increase efficiency and adapt to new business procedures. 

More and more businesses today are looking to extract insight out of their systems using data analytics.

With the heavy emphasis on digital transformation, software buyers are actively seeking out products that have artificial intelligence embedded within the applications for a number of reasons.

I’ll let you in on a (poorly kept) secret: The use of advanced analytics and other AI-powered capabilities that help users manage and interrogate data isn't new. The practice has been around far longer than the current bubble of hype surrounding AI has been inflating.

It takes on many names. Chatbots, interactive agents, virtual assistants, and conversational interfaces are just a few.