Just like at the doctor's, this app asks you questions about what you're feeling. Afterwards, the Ada app creates a report that you can share with your doctor. The more you interact with it, the more it becomes familiar with your medical history. As you tell it more about yourself, the more data it will be able to work with. This allows Ada to change, making it a more "personalized" doctor as you go along and more accurate at finding out what is wrong.

It would be a bit of an understatement to simply say that technology has rapidly been improving our lives. This, of course, can be felt not only in our personal lives -- where we all now have a tiny computer in our pocket -- but also in our business. We took a look at some of the biggest UC trends for 2017, and it's pretty safe to say that all new trends are based off of new technologies. If there is one UC industry in particular that benefits directly from technology improvements, it has to be contact centers. Previously, we focused on the omnichannel experience for 2017, but modern tech looks like it will help push our centers even further.

The word "trust" pops up a lot in conversations about human-robot interactions. In recent years, it's crossed an important threshold from the philosophical fodder of sci-fi novels into real-world concern. Robots have begun to play an increasing role in life and death scenarios, from rescue missions to complex surgical procedures. But the question of trust has largely been a one-way street. Should we trust robots with our lives?

Longer term, who knows the fate of the human agent. There is certainly plenty of impetus for automation, but for now it can seem like a cool gimmick (see the Henn na Hotel). If used on any scale, AI has to be proven to definitively ease the customer journey and ultimately grow revenue.

On Thursday, March 9th, the Federal Trade Commission (FTC) hosted a forum on the consumer implications of recent developments in artificial intelligence (AI) and blockchain technologies. This was the FTC's third forum on issues in FinTech. Previous FinTech Forums covered marketplace lending and crowdfunding and peer-to-peer payments. In opening remarks, the FTC acknowledged the benefits of technological developments in AI and blockchain technologies: AI promises better decision-making and personalized consumer technologies, while blockchain technologies would increase the efficiency of financial transactions and eliminate the need for the middleman, among other benefits. But, the FTC stressed that advancements in these technologies must be coupled with an awareness of and active engagement in identifying and minimizing associated risks.

When I first heard of predictive analytics, machine learning, and cognitive security, I was skeptical. I am an engineer at heart and condition-based maintenance was the only way, I thought, to effectively look at predictive maintenance. You start with the physical asset, you deploy sensors to monitor critical components, and you analyze the data. The thing is, this approach is expensive and time-consuming. Sensors need to be deployed and installed on existing equipment, software to collect, store, and process the data needs to be integrated, O&M teams need to be trained on the technology, and the software needs to be constantly updated.

Finding a job can often prove to be a full-time responsibility in and of itself. Whether you're seeking employment or recruiting workers to join your ranks, the time lost finding the ideal candidate can often translate to reduced productivity, which can also mean less money in your pocket and more stress. To level the playing field in a time when virtually everything else is already being automated, startup Opportunity has become the first networking site to integrate artificial intelligence into its platform. Utilizing the advanced technology to streamline many filters companies often search for, the hiring platform screens for personality, previous work, skill sets, location and other such requirements, refining the way companies and prospective employees connect. To understand how radically new hiring practices might emerge due to these powerful algorithms, PSFK sat down in an exclusive interview with the company's CEO and Co-founder Janis Krums.

Once limited to the realm of fiction, AI is now the technology shaping our world more than ever before. Montreal is at the center of this movement, with some saying it could become the Silicon Valley of AI. This may come as a surprise with all the other tech research and startup hubs out there. What does Montreal have that they don't? As it turns out, the largest concentration of independent AI researchers in the world.

Today, 38% of enterprises are already using artificial intelligence (AI), growing to 62% by 2018.

Turns out, machines can learn. And while that may mean the fall of man, it also means self-driving cars and better Netflix recommendations. Machine learning is a type of artificial intelligence (AI) that gives computers the ability to learn without being explicitly programmed. The implications of that are pretty massive: it means that a developer doesn't need to know, for example, how to program a computer to drive a car. But that developer can use a series of complex algorithms to program the computer to teach itself how to drive a car.