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Gartner Says At Least 60 Percent of Information Workers Will Interact With Content Applications via a Mobile Device by 2015

The consumption of video on mobile devices for work-related purposes is on the rise, according to Gartner, Inc., bringing organizations under increasing pressure to support and manage it.

Gartner predicts that by 2015, at least 60 percent of information workers will interact with content applications via a mobile device.

"Developing and supporting new content management applications and uses is a daunting task for enterprises, which justifiably fear dissatisfaction and low adoption," said Whit Andrews, VP and distinguished analyst at Gartner. "But the growing use of mobile devices for work demands that they support video on such equipment for internal and external uses. The challenge is more than just mobility. It also concerns heterogeneity, as Gartner predicts that, by 2014, 90 percent of organizations will support corporate applications on a variety of personal devices, from conventional laptop PCs, media tablets and mobile phones to hybrid or other kinds of devices that have yet to be made widely available."

Gartner says that companies and governments must respond with strategies for supporting video on such equipment, whether it is owned by them or by their workers or customers.

"Engaging mobile workers means encouraging them to use the devices they have chosen," says Andrews. "However, by the end of 2016, we expect 50 percent of content and collaboration initiatives will fail because of low levels of engagement with the information workers directly affected by them. There will be many aspects to this, including a failure to respect the importance of preferred devices for business consumers. Even though mobile devices represent an inconvenient way to deliver video in many respects, they must be part of any enterprise video strategy."

Mobility means that business consumers may sometimes find themselves using different devices in different places, sometimes on weak networks. Enterprises must therefore plan for adaptive delivery that allows for variable bandwidth as well as allowing for time-shifted consumption, as users that rely on mobile devices will not always have sufficient access to network resources to consume video live.

Time-shifting video is an important benefit that many executives resist because they dislike the psychological dilution that arises when not all workers share the experience of watching a video together. Nevertheless, consumption of a given video stream increases significantly when its targets can choose their own time to consume the video, and that consumption rises even more when they can consume individual shorter segments with particular messages that are crisp and concise.

Gartner recommends selecting vendors that support all the video formats the organization requires. While it's true that the growth in OS centers on iOS and Android, other OSs are important to particular enterprises or viewer segments. Enterprises should analyze viewership to determine what devices consumers are using, which are growing in usage, and which are declining.

"Enterprises have mainly relied on their enterprise video content management vendors to supply reliable facilities for managing video content in a way that results in interoperability," says Andrews. "Large-scale transcoding is beyond most companies and governments without vendor support, and we expect to see more adoption of cloud transcoding to accommodate scale. Use of a video player alleviates some challenges, but players are not popular in all situations for architectural reasons. Nor are standards to be expected to solve everything for a majority of users in the short term."

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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 ...

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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 ...

Gartner Says At Least 60 Percent of Information Workers Will Interact With Content Applications via a Mobile Device by 2015

The consumption of video on mobile devices for work-related purposes is on the rise, according to Gartner, Inc., bringing organizations under increasing pressure to support and manage it.

Gartner predicts that by 2015, at least 60 percent of information workers will interact with content applications via a mobile device.

"Developing and supporting new content management applications and uses is a daunting task for enterprises, which justifiably fear dissatisfaction and low adoption," said Whit Andrews, VP and distinguished analyst at Gartner. "But the growing use of mobile devices for work demands that they support video on such equipment for internal and external uses. The challenge is more than just mobility. It also concerns heterogeneity, as Gartner predicts that, by 2014, 90 percent of organizations will support corporate applications on a variety of personal devices, from conventional laptop PCs, media tablets and mobile phones to hybrid or other kinds of devices that have yet to be made widely available."

Gartner says that companies and governments must respond with strategies for supporting video on such equipment, whether it is owned by them or by their workers or customers.

"Engaging mobile workers means encouraging them to use the devices they have chosen," says Andrews. "However, by the end of 2016, we expect 50 percent of content and collaboration initiatives will fail because of low levels of engagement with the information workers directly affected by them. There will be many aspects to this, including a failure to respect the importance of preferred devices for business consumers. Even though mobile devices represent an inconvenient way to deliver video in many respects, they must be part of any enterprise video strategy."

Mobility means that business consumers may sometimes find themselves using different devices in different places, sometimes on weak networks. Enterprises must therefore plan for adaptive delivery that allows for variable bandwidth as well as allowing for time-shifted consumption, as users that rely on mobile devices will not always have sufficient access to network resources to consume video live.

Time-shifting video is an important benefit that many executives resist because they dislike the psychological dilution that arises when not all workers share the experience of watching a video together. Nevertheless, consumption of a given video stream increases significantly when its targets can choose their own time to consume the video, and that consumption rises even more when they can consume individual shorter segments with particular messages that are crisp and concise.

Gartner recommends selecting vendors that support all the video formats the organization requires. While it's true that the growth in OS centers on iOS and Android, other OSs are important to particular enterprises or viewer segments. Enterprises should analyze viewership to determine what devices consumers are using, which are growing in usage, and which are declining.

"Enterprises have mainly relied on their enterprise video content management vendors to supply reliable facilities for managing video content in a way that results in interoperability," says Andrews. "Large-scale transcoding is beyond most companies and governments without vendor support, and we expect to see more adoption of cloud transcoding to accommodate scale. Use of a video player alleviates some challenges, but players are not popular in all situations for architectural reasons. Nor are standards to be expected to solve everything for a majority of users in the short term."

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 ...