Over the last few years, artificial intelligence has helped push the envelope in terms of technological advancements in the financial industry. For example, consumers can use facial recognition to log in to financial apps and use voice commands to check their balances. This year, artificial intelligence is set to disrupt the industry even further.

Dr. Jason Mars, a computer science professor at the University of Michigan and the CEO of Clinc, has first-hand knowledge of how artificial intelligence will evolve in 2018. Using deep neural networks, Clinc has developed a conversational AI platform for financial institutions that is like a more advanced “Siri for your bank account” or a “Google Now for your finances,” but it supports the same natural language flow that you would have with a personal banker. Clinc recently reported $4.5 million in 2017 revenues and hired Helen Yu as chief growth officer, overseeing sales, marketing and customer success teams.

“When we launched our conversational AI platform at a financial conference in 2016, USAA’s Darrius Jones came up to me and asked for a demo. He was struck by our premium capabilities and competencies, completely different than other vendors in the market. But he wanted to do his homework, to be hands-on, and to fully test our solution. He didn’t want a sales pitch,” said Dr. Mars in the interview. “We initiated a pilot on USAA’s Alexa Skill and the overwhelming success proved to Darrius and USAA that Clinc delivers on the promise of conversational AI. The next question wasn’t if we would partner, but how quickly we could get it done!”

Mars told me that there are two kinds of banks out there: banks that have already tried things with artificial intelligence and banks that are now just getting into it and trying to figure out what artificial intelligence can do. The banks that tried it have had issues dealing with vaporware, meaning the tools are not available and are simply just a concept. The financial institutions that are doing artificial intelligence well are focused on the experience rather than the bottom line. And they are working to create the kind of artificial intelligence that is demanded by their customers.

What is holding the future of artificial intelligence back? Mars believes that there are too few companies that are doing “real artificial intelligence.” Many companies are using the banner of artificial intelligence to sell chatbots and products that sound useful, but “there is a lot of overpromising and a lot of vaporware out there.”

So financial institutions must repeatedly test artificial intelligence platforms rather than merely looking at slides or sales pitches. “You have to create experiences that actually deliver on a promise. You’re competing with the best that Google and Amazon have to offer. Which, by the way, is not what they are giving you to build your own skills,” added Mars. “The stuff that Google uses to build its in-house skills is much better. They give developers API.AI, which is from an acquisition and is inferior technology compared to what Google is using in-house. In order to build a great experience on Alexa or Google Home, you can’t depend on the platforms that are offered as APIs. This is a huge misconception in the community.”

Mars believes that that the ability for artificial intelligence to handle voice-first is important as that is how humans interact with each other. Humans have evolved to interact with everything that is considered intelligent with voice. To learn something from an expert, the best thing to do is talk with that expert. And humans are anthropologically designed to interact via voice and via language cues.

What does the future of AI in banking hold? “We are going to continue to see more technology experts innovating in the banking space. It’s becoming clear that the traditional DNA of the kind of companies that do fintech is going to migrate to be the same kind of companies that create the Googles and Facebooks of the world,” Mars explained. “You’re going to get those deep computer science minds applying their talent to the financial space. You’re going to see tons more innovation and advancement.”

Mars also said that Clinc will continue evolving its product. “We’re going to be able to interact with our own personal finances where we just get insights. We’re going to ask questions like, what am I doing in terms of my Amazon spending, and how’s it changing? What should I do next month? We’re going to be able to ask those high level, valuable questions and get the answers using AI applied to the data. That’s what I’m excited about and that’s what’s coming in the next five years,” Mars concluded.

The post How Artificial Intelligence Is Going To Affect The Financial Industry In 2018 appeared first on Artificial Intelligence.

Human financial advisors may keep their jobs for a while, but they would be well advised to start considering a new career. On 7 June, Singapore’s regulatory body, the Monetary Authority of Singapore, released a consultation paper on how it planned to “facilitate the provision of robo-advisory services” in the city-state.

By cutting out the need for human intermediaries, the online, automated portfolio management services, which can often be accessed through mobile applications, have “the potential to improve consumers’ access to low-cost investment advice”. It is the reason given by MAS for promoting such services, though the regulatory body likely has its eye on becoming a leader in an industry that professional services firm Deloitte recently predicted will manage $16 trillion worth of assets by 2025.

However, in the eyes of Shankar Narayanan, co-founder of Singapore-based Active AI, such services are not advanced enough to do away with homo sapiens quite yet: a human analysing the insights of an advanced algorithm was the best option for now, he said.

Narayanan’s company is one of many that have decided to focus their attention on the immediate future by developing artificial intelligence that allows people to communicate with their banks more naturally through a mixture of informal texts and voice recordings, referred to as unstructured micro-conversations. The software powering these companies automatically corrects for spelling errors and is able to respond with contextual chit chat: where computers of yesteryear might have said “affirmative”, these robots might say “cool, no worries”.

“The future of engagement will be in unstructured micro-conversations,” he said. “AI-powered conversational banking will enable banks to have intuitive customer engagement, which will create opportunities for banks to offer creative products and solutions to their customers.”

Narayanan added that the technology has the potential to help the region’s fintech players overcome the challenge of low user adoption by allowing them to ask questions about new technologies in an exchange that more closely resembles a human conversation than perusing an FAQ section or watching a video tutorial.

“AI can power agent-to-institution communication, knowledge access and transactions in a completely unstructured data format,” he said. “This will enable agents to be effective and empowered. Given that this can be done over voice or messaging interfaces in multiple languages it makes the proposition of last mile connection easier.”

The post How artificial intelligence is shaking up the financial industry appeared first on Artificial Intelligence.