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Gartner: Organizations Must Master 2 Dimensions of Mobility

With the convergence of devices, bots, things and people, organizations will need to master two dimensions of mobility, according to Gartner.

CIOs and IT leaders will need to excel at mainstream mobility and to prepare for the post-app era.

"The future of mobile will provide ubiquitous services delivered anywhere, by any person or thing, to any person or thing," said David Willis, VP and Distinguished Analyst at Gartner. "While users are constantly looking for new and compelling app experiences, the importance of apps in delivering services will diminish and the emergence of virtual personal assistants (VPAs) and bots will replace some of the functions performed by apps today. Alternative approaches to interaction and service delivery will arise, and code will move from traditional mobile devices and apps to the cloud."

Mobile Becomes "Business As Usual"

"The mobile landscape has changed dramatically during the past few years; mobile is no longer a novel technology, but business as usual, for most organizations," said Willis.

In 2016, Gartner forecasts the shipment of 2.37 billion devices (PCs, tablets, ultramobiles and mobile phones), and that 293 million wearables will be sold in the same year. In 2017, Gartner estimates that 2.38 billion devices will be shipped and 342 million wearables will be sold.

"The proliferation of mobile devices means that phones, tablets, laptops and wearables are now omnipresent within the business environment, reinventing the way people interact and work," he added.

Today's tech users are smart and savvy, demanding better features and experiences. The traditional forms of bring your own (that is, devices and applications) will continue to grow, making bring your own device and bring your own application the norm for the majority of organizations. "Moreover, the arrival of wearables and bring your own "thing" (such as smart kettles, smart power sockets or smart light bulbs) in the workplace will introduce new interaction techniques and new platforms, diluting the need for specific mobile app experiences," said Mr. Willis.

Much of the innovation in the mobile space isn't taking place inside the smartphones themselves, but in the things that communicate with them. Gartner predicts that by 2018, 25 percent of new mobile apps will talk to Internet of Things (IoT) devices.

Most IoT devices that talk to smartphones do so via an app or the browser. "Through 2018, the app will be the preferred mechanism, because it provides a better experience and allows more sophisticated interactions and data analysis, with low-level networking and background processing," said Willis.

However, the current dominance of apps is challenged by several trends that, together, Gartner labels the "post-app era".

"As new technologies grow in importance as a way to control and interact with things, app interfaces will fade," he added.

Prepare for the Post-App Era Today

New ways to interact with things will deliver pervasive services, and emerging technologies — such as artificial intelligence, natural-language processing and bots integrated into messaging apps,open new opportunities to interact with users seamlessly.

A number of global players are enabling businesses and consumers to "chat" with users on their messaging platform evolving APIs and services so that developers can create their own bots. This concept allows users to chat with organizations to get information, answer questions and transact through messaging or VPAs.

"This means that instead of going into a system and filling out complicated forms with checkboxes, users can ask a bot a question, and it will answer or negotiate on our behalf, based on rules and knowledge in the system," said Willis. "It will then move to those systems that allow interactions with customers — from marketing to sales."

"Apps are not going away and code isn't vanishing," he continued. "The post-app era means that there will be more data and code in the cloud and less on the device, thanks to the continuous improvement of cellular network performance."

"The post-app era will be an evolving process through 2020 and beyond," concluded Willis. "It has, however, already begun, and organizations should prepare for it by being agile and tactical, planning for new skills, assessing the new opportunities created by the post-app era, and developing a digital business strategy that integrates many different technologies."

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Gartner: Organizations Must Master 2 Dimensions of Mobility

With the convergence of devices, bots, things and people, organizations will need to master two dimensions of mobility, according to Gartner.

CIOs and IT leaders will need to excel at mainstream mobility and to prepare for the post-app era.

"The future of mobile will provide ubiquitous services delivered anywhere, by any person or thing, to any person or thing," said David Willis, VP and Distinguished Analyst at Gartner. "While users are constantly looking for new and compelling app experiences, the importance of apps in delivering services will diminish and the emergence of virtual personal assistants (VPAs) and bots will replace some of the functions performed by apps today. Alternative approaches to interaction and service delivery will arise, and code will move from traditional mobile devices and apps to the cloud."

Mobile Becomes "Business As Usual"

"The mobile landscape has changed dramatically during the past few years; mobile is no longer a novel technology, but business as usual, for most organizations," said Willis.

In 2016, Gartner forecasts the shipment of 2.37 billion devices (PCs, tablets, ultramobiles and mobile phones), and that 293 million wearables will be sold in the same year. In 2017, Gartner estimates that 2.38 billion devices will be shipped and 342 million wearables will be sold.

"The proliferation of mobile devices means that phones, tablets, laptops and wearables are now omnipresent within the business environment, reinventing the way people interact and work," he added.

Today's tech users are smart and savvy, demanding better features and experiences. The traditional forms of bring your own (that is, devices and applications) will continue to grow, making bring your own device and bring your own application the norm for the majority of organizations. "Moreover, the arrival of wearables and bring your own "thing" (such as smart kettles, smart power sockets or smart light bulbs) in the workplace will introduce new interaction techniques and new platforms, diluting the need for specific mobile app experiences," said Mr. Willis.

Much of the innovation in the mobile space isn't taking place inside the smartphones themselves, but in the things that communicate with them. Gartner predicts that by 2018, 25 percent of new mobile apps will talk to Internet of Things (IoT) devices.

Most IoT devices that talk to smartphones do so via an app or the browser. "Through 2018, the app will be the preferred mechanism, because it provides a better experience and allows more sophisticated interactions and data analysis, with low-level networking and background processing," said Willis.

However, the current dominance of apps is challenged by several trends that, together, Gartner labels the "post-app era".

"As new technologies grow in importance as a way to control and interact with things, app interfaces will fade," he added.

Prepare for the Post-App Era Today

New ways to interact with things will deliver pervasive services, and emerging technologies — such as artificial intelligence, natural-language processing and bots integrated into messaging apps,open new opportunities to interact with users seamlessly.

A number of global players are enabling businesses and consumers to "chat" with users on their messaging platform evolving APIs and services so that developers can create their own bots. This concept allows users to chat with organizations to get information, answer questions and transact through messaging or VPAs.

"This means that instead of going into a system and filling out complicated forms with checkboxes, users can ask a bot a question, and it will answer or negotiate on our behalf, based on rules and knowledge in the system," said Willis. "It will then move to those systems that allow interactions with customers — from marketing to sales."

"Apps are not going away and code isn't vanishing," he continued. "The post-app era means that there will be more data and code in the cloud and less on the device, thanks to the continuous improvement of cellular network performance."

"The post-app era will be an evolving process through 2020 and beyond," concluded Willis. "It has, however, already begun, and organizations should prepare for it by being agile and tactical, planning for new skills, assessing the new opportunities created by the post-app era, and developing a digital business strategy that integrates many different technologies."

Hot Topics

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...