Enterprise Mobility Is The Perfect Place For Artificial Intelligence




Artificial Intelligence (AI) is becoming more integrated into everyday life, and most people don’t even realize they’re interacting with virtual assistance. That autocorrect function on their smartphone, or voice aid sitting on end table in the living room answering questions about weather forecasts: that’s AI for daily consumer.

And it’s for those reasons the marriage of AI and enterprise mobility is a beautiful one, where productivity and efficiency are going to reach unprecedented levels in the years to come. Artifical assistance now allows workers to continue their workflow with an assistive functionality that will all but eliminate errors and gaps in the supply chain of any process.

According to a recent CCS Insight survey, IT decision-makers said employees are using an average of 6.1 mobile apps for work purposes daily, and despite the innovative technologies, they’ve actually become a hindrance.

“Part of the reason we’ve seen a lag in macro productivity since the 2008 financial crisis is that we waste a lot of time doing mundane tasks, like searching for data, booking meetings and learning the ins and outs of complex software,” said CCS Vice President Nick McQuire in a blog post.

In that same survey, 58% of respondents said they’re either using, testing, or at least researching AI for their business, with 29% claiming enterprise apps will be “enhanced with AI within the next two years.”

The shift has already begun, and just last month, Amazon – owner of arguably the world’s most consumer-friendly AI technology – announced it was releasing its “Alexa For Business,” which would enable offices to implement the manufacturer’s Echo device to handle some of those aforementioned mundane tasks, including creating calendar appointments, dial in to conference calls, and even give directions around larger offices for newcomers or guests.

Additionally, workers can utilize their personal devices and integrate them with the Alexa For Business device if desired, creating a network of virtual assistants.

See related: 7 Essential AI Terms: What Do They Mean?

Like Amazon, Microsoft has jumped headfirst into the business-first AI game. While Microsoft’s virtual assistant, Cortana, is similar to the Echo, the company has made enormous strides recently in cementing its place in the disruptive technology forefront.

“Artificial Intelligence has become central to Microsoft’s overall strategy over the past 12 months,” McQuire told Enterprise Mobility Exchange earlier this year. “In September 2016, the company set up a dedicated research group … Consisting of 7,500 scientists, researchers and engineers from its product teams, the group aims to speed up the creation of artificial intelligence products and to better promote its efforts against those of Google, IBM and Amazon as well as against the growing influence of Chinese players.”

As previously reported by Enterprise Mobility Exchange, employees continue to have an insatiable appetite for mobility, with the average worker owning a total of 4.8 connected devices for personal or business purposes. And what workers are saying is being heard by the boardroom.

Spending on AI and machine learning is projected to grow from less than $8 billion in 2016 to about $47 billion in 2020 – unprecedented growth. Additionally, AI won’t be replacing workers, just augmenting and enhancing how they’re able to perform in the office or field.

As the technology continues to evolve, solutions like EMMs, MDMs, mobile threat defense, containers and other layers used specifically in the enterprise mobility world will have new and improved functionality to offer mobile users. Add that to the fact that smartphone manufacturers are already implanting AI in their hardware and operating systems, and artificial intelligence will be a mainstay in enterprise mobility before long.

And any technology that will help boost productivity with minimal – if any – disruption should be streamlined for rapid adoption.