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Gartner: 3 Scale Accelerators to Drive Digital Transformation

CIOs trying to lead digital transformation at the speed needed to succeed need a mix of three scale accelerators, according to Gartner, Inc. The three scale accelerators include: digital dexterity, network effect technologies, and an industrialized digital platform.

During the opening keynote today at Gartner Symposium/ITxpo, Gartner analysts emphasized that scale is not just about size, it occurs up, across and out. Scaling Up allows for gaining efficiencies. Scaling Across quickly takes capabilities learned from one organization into another, while Scaling Out interconnects internal and external platforms and ecosystems.

First Scale Accelerator: Digital Dexterity

Digital dexterity is about a new organizational design and a new talent mix for a new working environment – a high-performing digital workplace. Organizations must change internally to change externally.

"To scale, we need people with digital dexterity. People who are collaborative, agile, analytical, innovative and creative," said Tina Nunno, VP and Gartner Fellow. "People who have both the ability and the desire to exploit existing and emerging technologies for better business outcomes."

A digitally dexterous culture requires three building blocks:

■ Technology

■ Engagement

■ Diversity

"It’s time to build your technology for user experience and double down on experiential skills, such as design thinking, guided navigation, and a/b testing. These all become your go-to tools," said Leigh McMullen, Managing VP at Gartner. "Invest in SaaS applications that make it easy for employees to do for themselves – things like data visualization and application integration. Exploit virtual personal assistants to free everyone from low-value tasks."

The second building block is engagement. "Make people and engagement the design center for your technology and your processes," Nunno said. "For that we can use the science of behavioral change. For example, by using peer advocates, trusted influencers, and social norming, we get closer to creating the right employee experience."

The third element to build a culture of digital dexterity is diversity. CIOs should look at exploiting diversity in all forms, such as diverse data, diverse talents, diverse suppliers, diverse backgrounds, and diverse cultures. "Diversity allows us to overcome all forms of bias to harness the power of the crowd and digital," McMullen said.

Second Scale Accelerator: Network Effect Technologies

Network effect technologies transform the CIO’s work from making tactical technology decisions into building strategic platforms. This unique set of technologies creates virtuous patterns of growth, where waves of disruption build upon each other, exponentially. Three network effect technologies to focus on for 2018 include: the Internet of Things (IoT), application programming interfaces (APIs), and artificial intelligence (AI).

"IoT scales the physical world. IoT allows us to sense, measure and mediate everything from oil pipelines to human veins. It allows us to make better decisions faster," Nunno said. "As the number of connected devices grows, you go from no information to abundant data. The network effect of IoT quickly converts individual objects into systems.

Nunno also explained the type of people to get the job done. She said, "Find people who are able and eager to embed all types of intelligence in IoT. Engage data management professionals to ensure you have diverse source data. Leverage the digital dexterity of citizen data scientists."

While IoT scales the physical world, APIs scale relationships into ecosystems. They enable CIOs to easily connect partners, employees, and even competitors into a vibrant, webscale network that unlocks value for everyone.

"Value emerges slowly, and then it accelerates quickly as more participants are added to the ecosystem and new APIs are discovered and used. That is the network effect," said McMullen.

With IoT scaling the physical world, and APIs scaling relationships, think of AI as scaling people. Gartner believes that AI will help people, not replace them. Certain jobs have been lost in every technology revolution, and new jobs have been created. AI is no different. Gartner analysts said the real potential with AI is the augmentation of people.

"AI’s best use today and well into the future will be to augment human capabilities," Nunno said. "A human machine is smarter than either by themselves. The machine scales the person. The person scales the machine."

Third Scale Accelerator: Industrialize the Digital Platform

The industrialized digital platform unleashes the digital dexterity of your workforce, and it unlocks the potential of network effect technology. To industrialize means using a digital platform to create new digital market places.

"The beauty of the industrialized digital platform is that it enables you to create value in all directions at scale: up, across and out," Nunno said. "Value creation used to be one directional: from the organization to customers. Now value creation can scale in all directions, from anyone, anywhere."

Organizations will need to set their digital ambition by determining what kind of organization they want to be. Without digital business ambition, organizations just have a collection of projects.

Next, CIOs should build on their legacy systems. They should combine their modernized legacy applications and their digital platform for massive integration complexity on a massive scale. They should integrate their platforms internally, as well as with external ecosystem partners. Integrating externally is key because top performing CIOs expect to double the number of important ecosystem partners they have during the next two years.

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Gartner: 3 Scale Accelerators to Drive Digital Transformation

CIOs trying to lead digital transformation at the speed needed to succeed need a mix of three scale accelerators, according to Gartner, Inc. The three scale accelerators include: digital dexterity, network effect technologies, and an industrialized digital platform.

During the opening keynote today at Gartner Symposium/ITxpo, Gartner analysts emphasized that scale is not just about size, it occurs up, across and out. Scaling Up allows for gaining efficiencies. Scaling Across quickly takes capabilities learned from one organization into another, while Scaling Out interconnects internal and external platforms and ecosystems.

First Scale Accelerator: Digital Dexterity

Digital dexterity is about a new organizational design and a new talent mix for a new working environment – a high-performing digital workplace. Organizations must change internally to change externally.

"To scale, we need people with digital dexterity. People who are collaborative, agile, analytical, innovative and creative," said Tina Nunno, VP and Gartner Fellow. "People who have both the ability and the desire to exploit existing and emerging technologies for better business outcomes."

A digitally dexterous culture requires three building blocks:

■ Technology

■ Engagement

■ Diversity

"It’s time to build your technology for user experience and double down on experiential skills, such as design thinking, guided navigation, and a/b testing. These all become your go-to tools," said Leigh McMullen, Managing VP at Gartner. "Invest in SaaS applications that make it easy for employees to do for themselves – things like data visualization and application integration. Exploit virtual personal assistants to free everyone from low-value tasks."

The second building block is engagement. "Make people and engagement the design center for your technology and your processes," Nunno said. "For that we can use the science of behavioral change. For example, by using peer advocates, trusted influencers, and social norming, we get closer to creating the right employee experience."

The third element to build a culture of digital dexterity is diversity. CIOs should look at exploiting diversity in all forms, such as diverse data, diverse talents, diverse suppliers, diverse backgrounds, and diverse cultures. "Diversity allows us to overcome all forms of bias to harness the power of the crowd and digital," McMullen said.

Second Scale Accelerator: Network Effect Technologies

Network effect technologies transform the CIO’s work from making tactical technology decisions into building strategic platforms. This unique set of technologies creates virtuous patterns of growth, where waves of disruption build upon each other, exponentially. Three network effect technologies to focus on for 2018 include: the Internet of Things (IoT), application programming interfaces (APIs), and artificial intelligence (AI).

"IoT scales the physical world. IoT allows us to sense, measure and mediate everything from oil pipelines to human veins. It allows us to make better decisions faster," Nunno said. "As the number of connected devices grows, you go from no information to abundant data. The network effect of IoT quickly converts individual objects into systems.

Nunno also explained the type of people to get the job done. She said, "Find people who are able and eager to embed all types of intelligence in IoT. Engage data management professionals to ensure you have diverse source data. Leverage the digital dexterity of citizen data scientists."

While IoT scales the physical world, APIs scale relationships into ecosystems. They enable CIOs to easily connect partners, employees, and even competitors into a vibrant, webscale network that unlocks value for everyone.

"Value emerges slowly, and then it accelerates quickly as more participants are added to the ecosystem and new APIs are discovered and used. That is the network effect," said McMullen.

With IoT scaling the physical world, and APIs scaling relationships, think of AI as scaling people. Gartner believes that AI will help people, not replace them. Certain jobs have been lost in every technology revolution, and new jobs have been created. AI is no different. Gartner analysts said the real potential with AI is the augmentation of people.

"AI’s best use today and well into the future will be to augment human capabilities," Nunno said. "A human machine is smarter than either by themselves. The machine scales the person. The person scales the machine."

Third Scale Accelerator: Industrialize the Digital Platform

The industrialized digital platform unleashes the digital dexterity of your workforce, and it unlocks the potential of network effect technology. To industrialize means using a digital platform to create new digital market places.

"The beauty of the industrialized digital platform is that it enables you to create value in all directions at scale: up, across and out," Nunno said. "Value creation used to be one directional: from the organization to customers. Now value creation can scale in all directions, from anyone, anywhere."

Organizations will need to set their digital ambition by determining what kind of organization they want to be. Without digital business ambition, organizations just have a collection of projects.

Next, CIOs should build on their legacy systems. They should combine their modernized legacy applications and their digital platform for massive integration complexity on a massive scale. They should integrate their platforms internally, as well as with external ecosystem partners. Integrating externally is key because top performing CIOs expect to double the number of important ecosystem partners they have during the next two years.

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 ...