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Gartner: Top 10 Strategic Technology Trends for 2018 - Part 2

Gartner highlighted the top strategic technology trends that will impact most organizations in 2018.

Gartner defines a strategic technology trend as one with substantial disruptive potential that is beginning to break out of an emerging state into broader impact and use, or which are rapidly growing trends with a high degree of volatility reaching tipping points over the next five years.

The first two trends listed in Part 2 focus on blending the digital and physical worlds to create an immersive, digitally enhanced environment.

The last three refer to exploiting connections between an expanding set of people and businesses, as well as devices, content and services to deliver digital business outcomes.

Start with Gartner: Top 10 Strategic Technology Trends for 2018 - Part 1

6. Conversational Platforms

Conversational platforms will drive the next big paradigm shift in how humans interact with the digital world. The burden of translating intent shifts from user to computer. The platform takes a question or command from the user and then responds by executing some function, presenting some content or asking for additional input. Over the next few years, conversational interfaces will become a primary design goal for user interaction and be delivered in dedicated hardware, core OS features, platforms and applications.

Conversational platforms will drive the next big paradigm shift in how humans interact with the digital world.

"Conversational platforms have reached a tipping point in terms of understanding language and basic user intent, but they still fall short," said Cearley. "The challenge that conversational platforms face is that users must communicate in a very structured way, and this is often a frustrating experience. A primary differentiator among conversational platforms will be the robustness of their conversational models and the application programming interface (API) and event models used to access, invoke and orchestrate third-party services to deliver complex outcomes." 

7. Immersive Experience

While conversational interfaces are changing how people control the digital world, virtual, augmented and mixed reality are changing the way that people perceive and interact with the digital world. The virtual reality (VR) and augmented reality (AR) market is currently adolescent and fragmented. Interest is high, resulting in many novelty VR applications that deliver little real business value outside of advanced entertainment, such as video games and 360-degree spherical videos. To drive real tangible business benefit, enterprises must examine specific real-life scenarios where VR and AR can be applied to make employees more productive and enhance the design, training and visualization processes.

Mixed reality, a type of immersion that merges and extends the technical functionality of both AR and VR, is emerging as the immersive experience of choice providing a compelling technology that optimizes its interface to better match how people view and interact with their world. Mixed reality exists along a spectrum and includes head-mounted displays (HMDs) for augmented or virtual reality as well as smartphone and tablet-based AR and use of environmental sensors. Mixed reality represents the span of how people perceive and interact with the digital world.

8. Blockchain

Blockchain is evolving from a digital currency infrastructure into a platform for digital transformation. Blockchain technologies offer a radical departure from the current centralized transaction and record-keeping mechanisms and can serve as a foundation of disruptive digital business for both established enterprises and startups. Although the hype surrounding blockchains originally focused on the financial services industry, blockchains have many potential applications, including government, healthcare, manufacturing, media distribution, identity verification, title registry and supply chain. Although it holds long-term promise and will undoubtedly create disruption, blockchain promise outstrips blockchain reality, and many of the associated technologies are immature for the next two to three years.

9. Event Driven

Central to digital business is the idea that the business is always sensing and ready to exploit new digital business moments. Business events could be anything that is noted digitally, reflecting the discovery of notable states or state changes, for example, completion of a purchase order, or an aircraft landing. With the use of event brokers, IoT, cloud computing, blockchain, in-memory data management and AI, business events can be detected faster and analyzed in greater detail. But technology alone without cultural and leadership change does not deliver the full value of the event-driven model. Digital business drives the need for IT leaders, planners and architects to embrace event thinking.

10. Continuous Adaptive Risk and Trust

To securely enable digital business initiatives in a world of advanced, targeted attacks, security and risk management leaders must adopt a continuous adaptive risk and trust assessment (CARTA) approach to allow real-time, risk and trust-based decision making with adaptive responses. Security infrastructure must be adaptive everywhere, to embrace the opportunity — and manage the risks — that comes delivering security that moves at the speed of digital business.

As part of a CARTA approach, organizations must overcome the barriers between security teams and application teams, much as DevOps tools and processes overcome the divide between development and operations. Information security architects must integrate security testing at multiple points into DevOps workflows in a collaborative way that is largely transparent to developers, and preserves the teamwork, agility and speed of DevOps and agile development environments, delivering "DevSecOps." CARTA can also be applied at runtime with approaches such as deception technologies. Advances in technologies such as virtualization and software-defined networking has made it easier to deploy, manage and monitor "adaptive honeypots" — the basic component of network-based deception.

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

Gartner: Top 10 Strategic Technology Trends for 2018 - Part 2

Gartner highlighted the top strategic technology trends that will impact most organizations in 2018.

Gartner defines a strategic technology trend as one with substantial disruptive potential that is beginning to break out of an emerging state into broader impact and use, or which are rapidly growing trends with a high degree of volatility reaching tipping points over the next five years.

The first two trends listed in Part 2 focus on blending the digital and physical worlds to create an immersive, digitally enhanced environment.

The last three refer to exploiting connections between an expanding set of people and businesses, as well as devices, content and services to deliver digital business outcomes.

Start with Gartner: Top 10 Strategic Technology Trends for 2018 - Part 1

6. Conversational Platforms

Conversational platforms will drive the next big paradigm shift in how humans interact with the digital world. The burden of translating intent shifts from user to computer. The platform takes a question or command from the user and then responds by executing some function, presenting some content or asking for additional input. Over the next few years, conversational interfaces will become a primary design goal for user interaction and be delivered in dedicated hardware, core OS features, platforms and applications.

Conversational platforms will drive the next big paradigm shift in how humans interact with the digital world.

"Conversational platforms have reached a tipping point in terms of understanding language and basic user intent, but they still fall short," said Cearley. "The challenge that conversational platforms face is that users must communicate in a very structured way, and this is often a frustrating experience. A primary differentiator among conversational platforms will be the robustness of their conversational models and the application programming interface (API) and event models used to access, invoke and orchestrate third-party services to deliver complex outcomes." 

7. Immersive Experience

While conversational interfaces are changing how people control the digital world, virtual, augmented and mixed reality are changing the way that people perceive and interact with the digital world. The virtual reality (VR) and augmented reality (AR) market is currently adolescent and fragmented. Interest is high, resulting in many novelty VR applications that deliver little real business value outside of advanced entertainment, such as video games and 360-degree spherical videos. To drive real tangible business benefit, enterprises must examine specific real-life scenarios where VR and AR can be applied to make employees more productive and enhance the design, training and visualization processes.

Mixed reality, a type of immersion that merges and extends the technical functionality of both AR and VR, is emerging as the immersive experience of choice providing a compelling technology that optimizes its interface to better match how people view and interact with their world. Mixed reality exists along a spectrum and includes head-mounted displays (HMDs) for augmented or virtual reality as well as smartphone and tablet-based AR and use of environmental sensors. Mixed reality represents the span of how people perceive and interact with the digital world.

8. Blockchain

Blockchain is evolving from a digital currency infrastructure into a platform for digital transformation. Blockchain technologies offer a radical departure from the current centralized transaction and record-keeping mechanisms and can serve as a foundation of disruptive digital business for both established enterprises and startups. Although the hype surrounding blockchains originally focused on the financial services industry, blockchains have many potential applications, including government, healthcare, manufacturing, media distribution, identity verification, title registry and supply chain. Although it holds long-term promise and will undoubtedly create disruption, blockchain promise outstrips blockchain reality, and many of the associated technologies are immature for the next two to three years.

9. Event Driven

Central to digital business is the idea that the business is always sensing and ready to exploit new digital business moments. Business events could be anything that is noted digitally, reflecting the discovery of notable states or state changes, for example, completion of a purchase order, or an aircraft landing. With the use of event brokers, IoT, cloud computing, blockchain, in-memory data management and AI, business events can be detected faster and analyzed in greater detail. But technology alone without cultural and leadership change does not deliver the full value of the event-driven model. Digital business drives the need for IT leaders, planners and architects to embrace event thinking.

10. Continuous Adaptive Risk and Trust

To securely enable digital business initiatives in a world of advanced, targeted attacks, security and risk management leaders must adopt a continuous adaptive risk and trust assessment (CARTA) approach to allow real-time, risk and trust-based decision making with adaptive responses. Security infrastructure must be adaptive everywhere, to embrace the opportunity — and manage the risks — that comes delivering security that moves at the speed of digital business.

As part of a CARTA approach, organizations must overcome the barriers between security teams and application teams, much as DevOps tools and processes overcome the divide between development and operations. Information security architects must integrate security testing at multiple points into DevOps workflows in a collaborative way that is largely transparent to developers, and preserves the teamwork, agility and speed of DevOps and agile development environments, delivering "DevSecOps." CARTA can also be applied at runtime with approaches such as deception technologies. Advances in technologies such as virtualization and software-defined networking has made it easier to deploy, manage and monitor "adaptive honeypots" — the basic component of network-based deception.

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...