AI Is Popular, But Cloud Is Still King In The Enterprise

Technology is a funny thing, when one considers its past, present, and future. It may seem cliché, but in today’s enterprise mobility landscape, the past and future are meeting right now, and IT pros are figuring out ways to innovate yesterday’s results for tomorrow’s success.

As shown in a recent survey fielded by Enterprise Mobility Exchange jointly with VDC Research, CIOs, directors of IT, and leaders of mobility claimed one older technology and one on the cusp of breaking through were the top priorities leading in to 2018.

When asked what technologies will have the greatest impact over the next three years, the survey compared 2017’s answers to those from 2016, and showed cloud – which had 28% of the vote in 2016, and was the clear leader – increased by three percent to 31% overall. Additionally, survey respondents said Artificial Intelligence (AI) was going to have a dramatic increase, moving from four percent to 16% year over year – the largest increase of any technology.


“While the term digital transformation is overused, digitization trends are forcing businesses to invest in new technologies,” said David Krebs, analyst with VDC Research. “The cloud is just one of several inter-related trends that have forever changed the IT landscape – mobile applications and social networks are contributing to the explosive growth of data, and big data trends are contributing to and exacerbating the move into the cloud as companies seek more agile ways to scale up quickly and to experiment with new apps and analytical approaches.”

Cloud is here. It’s agile, scalable, and most importantly, has some variation to meet every enterprise’s needs in some form or another. Moreover, cloud is becoming more diversified and multiple migrations to take advantage of different service providers is a thing of the past. Learn more about the multicloud and diversification here.

As previously reported by Enterprise Mobility Exchange, the AI tools market value is going to explode in the next half decade, surpassing $10 billion. That increasing demand for AI-based solutions is borne from a new approach to data generation and a desire for intelligent business processes and growing innovation.

More than half of survey respondents – 58% - in a recent CCS Insight questionnaire said they’re either using, testing, or at least researching AI for their business, with another 29% claiming enterprise apps will be enhanced with AI in the next two years.

The VDC survey pushed the data even further, showing a 20% uptick from respondents who said their organization bettered their ability to provide the right or best tools required to do the job. Additionally, the adoption of mobile apps increased, as well as the pace of the company’s mobile initiatives.

AI’s implementation is coming, but it will be a while before its advantages can be fully realized. Some of the world’s biggest tech manufacturers are starting, albeit slowly, to make their mark on the industry (see: Amazon’s Alexa For Business). Soon enterprises will be relying on AI to secure its mobile devices, conduct mundane or administrative work tasks, and even lend insight into business challenges that may require an additional opinion.

With those innovations will come challenges, of course, but the technology will soon assist the human work day, and production levels will be at all-time highs. Managing those changes will be difficult; ensuring the enterprise environment that disruption is fine as a means to a future will be paramount. But as is the case with any new technology, change is good, and necessary.