Harnessing the Intelligent Digital Mesh: Modern App Development for CIOs – Part 1

CIOs charting IoT strategies should note a key insight from Gartner’s 2018 Top 10 Strategic Technology Trends. As Clare Grant, General Manager at Red Hat Mobile, explains, Gartner defines the “intelligent digital mesh” as the seamless intertwining of people, devices, content and services—powered by digital models, business platforms and a rich suite of intelligent services that enable true digital business.

This convergence of IoT, analytics, edge computing and AI delivers real‑time insights that empower organizations to craft immersive experiences.

When combined with mobile, these technologies reshape application development, integration and lifecycle management, driving the need for apps that span traditional, mobile and stateless environments.

CIOs must balance the cost‑effective maintenance of core systems with continuous updates, robust security and scalable deployments—ensuring agility to meet evolving user and market demands.

So how can they navigate change with limited resources, and how can they extend existing applications to mobile and other digital touchpoints?

Modern App Development

Software development has shifted from a purely IT‑centric approach to a user‑centric model. Demand for new features and services is now often sparked by customers engaging across multiple digital channels.

Today, applications need to be built faster, updated more frequently and seamlessly integrated across business functions and engagement channels—mobile, messaging, web, and social media.

While the industry has mastered connecting back‑end systems to mobile apps, the next frontier is integrating connected devices, analytics and AI into the same ecosystem.

Organizations that can deliver applications that adapt quickly to changing conditions across diverse channels gain a competitive edge over those locked in lengthy review cycles and rigid architectures.

Gartner’s Top 10 Strategic Technology Trends of 2018 include:

• AI foundation
• Intelligent apps and analytics
• Intelligent things
• Digital twins
• Cloud to the edge
• Conversational platforms
• Immersive experiences
• Blockchain
• Event‑driven
• Continuous adaptive risk and trust

Build on Successes

The notion of an “intelligent digital mesh” may sound like sci‑fi, but in practice it translates into either new applications or extensions of existing ones.

CIOs working with constrained budgets and tight timelines should avoid reinventing the wheel and instead leverage proven models and infrastructure where feasible. Many challenges that surface when integrating AI and IoT echo the hurdles mobile developers faced during the early days of enterprise mobility.

Some organizations have moved beyond treating mobile as a standalone project; instead, they view it as an integral part of their enterprise application portfolio and digital transformation strategy. The same strategic mindset will drive maturity in AI and IoT adoption.

Collaborating with the open‑source community can accelerate experimentation with IoT and AI. By sharing solutions to common challenges, teams can then select enterprise‑ready, productized versions of community‑built innovations that are designed for scale.

Author: Clare Grant, General Manager at Red Hat Mobile