Artificial Intelligence (AI) is expected to have a profound impact on the future of digital business.
So, what's the easiest way for traditional companies to take advantage of AI capabilities? Focus on AI-powered cognitive services computer vision, machine learning, natural language processing, speech recognition, and robotics.
Organizations that take this approach will score quick wins, generate value faster, and achieve long-term success four times more than organizations that don't, according to Gartner.
Yes, implementation cost and complexity may hamper adoption in non-tech companies. But that hasn't stopped many organizations from either thinking about AI or experimenting with it.
All you have to do is look around to realize that digital leaders across a variety of industries are moving beyond experimentation to integrate AI into their business operations.
Meanwhile, some of the biggest brands on the planet are placing huge bets on artificial intelligence, betting on everything from face-scanning smartphones and consumer gadgets to computerized health care and self-driving cars.
It's also worth noting that AI has quickly gone mainstream in popular consumer devices such as Apple's Siri, Amazon's Alexa, and Google's Home Assistant. And this trend is happening faster than many could have imagined just a few years ago.
The million dollar question is: Will consumers expect the same level of digital interaction with banks, retailers, airlines, utilities, healthcare providers, and other organizations?
While the emergence of AI has fueled great expectations,critics warn AI will kill jobs and spark a machine-learning apocalypse that will send humanity to its doom.
The good news?
Research shows the opposite is true, that technology has created more jobs than it's displaced over the last 140 years.
More important, technology tends to displace dangerous, routine, jobs with higher-value, knowledge work.
Bottom line? The promise of AI, evidently, outweighs the risk.
Here's the math:
So, should you double down now? Or, wait for the AI hype cycle to peak?
"It takes time to build the infrastructure to support emerging technologies like AI," says Rita McGrath, a globally recognized expert on innovation and growth strategies.
"In 2018, I think we're going to see emergence and disappointment in Artificial Intelligence and Machine Learning," says McGrath, "...What AI and Machine learning can do better than people, is detect rich patterns that underlie massive amounts of data. These technologies are going to change a lot of things, but it's going to take a lot longer than people expect...."
At the MIT Sloan Initiative on the Digital Economy, Principal Research Scientist George Westerman says that many traditional companies are investing in emerging technologies like AI, but that very few are doing it well.
"The ones that are doing it digital well," said Westerman, "... are doing two things better than their competitors. They're not just investing in digital, they're using technology to transform operations and the customer experienceÖ"
Vijay Gurbaxani, Founding Director, The Center for Digital Transformation at the University of California, Irvine, agrees.
"I think Artificial Intelligence and Machine Learning are among the biggest things on the radarÖ. But I would say that the bigger challenge is to think about how all of this comes together," says Gurbaxani. "I think we get caught up in seeing the trees and not the forest. We need to see how the world is changing. Not worry about a specific technology."
Digital businesses are already pairing AI and big data to learn customer browsing patterns, purchase history, and preferences. Then offer personalized recommendations as customers browse online, or chat with merchants via messaging apps.
In the contact center, AI is boosting productivity with applications that can identify customer calling patterns in hours instead of weeks or months.
AI-powered "bots" are being used to handle routine tasks with natural language processing to interpret customer requests, and instantly search back-end systems for answers, without the help of live agents.
AI technologies will be in almost every new software product by 2020, according to Gartner.
The big challenge, though, is cutting through the hype of numerous software vendors, which can make selecting an AI vendor difficult and confusing.
Okay, but what if you're having a "big gulp" moment with disruption, and you want to gear up with AI right now? What's the best approach?
Perhaps it's worth considering what Matt Calkins, founder and CEO of Appian, said about Appian's approach to AI, in a recent Forbes interview.
"To me...general-purpose AI has no context at all. It's just here's the world, you figure it out. ...So AI is, in my opinion, a high-context application, which is to say it needs a lot of context in order to be valuable...It's really a training wheels type of technology at the moment."
Calkins also said that Appian's approach to AI is structured around the idea of serving as a data divination partner to the businesses that use it. He added that the goal is not to eliminate human judgment entirely, but to help guide and inform it.
"... AI is way too difficult right now. Appian makes it easy. You just put your dataset in, you click a button, it gets uploaded to Amazon, and then you can have Amazon as an object giving you advice. You can just include that on the screen. So the screen is like, Here's your decision,' and down below it says, Your AI recommends the following.' That's where AI belongs."
Hmm, combining AI with the Appian Low-Code Platform.
It doesn't get any easier than that.
In the following episode of the Appian Talks podcast, Jorge Sanchez, Appian Director of Product Strategy, and Malcolm Ross, Vice President of Product reveal:
Learn the secret to AI success. Take a listen below.
[podcast id="13106506" text="How the Internet of Things (IoT) is Digitally Transforming Businesses" on Spreaker."]
Want to be an early AI adopter? Check out this on-demand webinar: How to Help Your Business Become an AI Early Adopter
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