How Digital Transformation Redefines IT and Operations Value in the Age of Intelligent Everything

This article is based on Peng Huasheng’s talk at GOPS 2021 Shenzhen, focusing on the evolution of digital transformation and its impact on IT and operations value.

1. The Age of Intelligent Everything

The speaker illustrates five concrete examples of digital twins and intelligent services:

The industrial 4.0 digital twin, where sensor data creates a virtual model of equipment, originally pioneered by NASA and the U.S. Department of Defense.

Digital dentistry, where a 3‑D oral model is scanned and printed within an hour, dramatically reducing patient wait time.

Digital city initiatives, such as Shenzhen Longgang’s smart brain that aggregates city data into a 3‑D decision‑making platform.

Didi’s platform that digitizes passengers, drivers, and vehicles using GIS sensors, enabling massive driver management through a platform‑plus‑feedback model.

MBank, a Polish digital bank that grew from a subsidiary to replace its parent company, exemplifying a digital‑first brand transformation.

These cases demonstrate that the digital world is already pervasive.

Common buzzwords such as digital assistant, digital employee, digital robot, and digital human are clarified to help distinguish genuine project value from hype.

Digital assistant – a tool like Microsoft Cortana for scheduling and time management.

Digital employee – RPA that simulates keyboard and mouse actions to automate standard processes.

Digital robot – physical robots, e.g., a hotel‑delivered toothbrush robot.

Digital human – 3‑D avatars used as AI presenters, first proposed by SPDB and Baidu.

Understanding these terms helps focus on solving real pain points rather than chasing technology for its own sake.

2. IT Value Transmission

Value transmission is a recursive process: corporate value → IT value → operations value. The three corporate values in digital transformation are:

Enhancing customer experience and creating customer value.

Accelerating business innovation and reshaping business models.

Improving operational efficiency and effectiveness.

These translate into IT capabilities of security, stability, rapid delivery, and technology leadership.

Key IT capabilities include:

IT risk assurance : data‑driven business continuity and risk control.

Customer service : perception‑decision‑execution centered on the customer.

Rapid delivery : agile and design‑thinking methods to support fast product and service rollout.

Ecology expansion : open scenario integration and ecosystem building.

IT service : flexible, secure, reliable technical resource delivery.

Operational collaboration : efficient digital workspaces and resource optimization.

From IT, value passes to operations as:

Enhanced IT risk assurance.

Accelerated business delivery.

Improved customer experience.

Higher IT service quality.

3. Operations Value Creation

Operations face eight major complexities:

Technical architecture : rapid business iteration, new business models, and emerging technologies demand evaluation of maturity, cost, and impact on existing stacks.

Application logic : increasingly granular services and regulatory risk controls raise requirements for knowledge, design, performance, and rapid fault recovery.

Change delivery : faster product innovation, shorter review cycles, and complex version management require new collaborative delivery models.

Massive connections : IoT, mobile, and open platforms generate huge data, connection, and endpoint volumes, expanding continuity assurance scope.

Operational risk : external attacks, regulatory demands, and increased manual workload introduce new risks and automation challenges.

Collaboration mechanisms : DevOps, “everything‑as‑service”, and application‑centric operations demand coordinated processes.

Skills and culture : new technologies require a learning‑oriented culture and role reshaping.

External factors : stricter policies and online supervision push for finer‑grained operational capabilities.

To address these, four digital key concepts are highlighted:

Collaborative Network

Build a real‑time, multi‑role network (people, software, hardware, robots) with data‑driven analytics to manage connections, sense efficiency, and mitigate operational risk.

Data Intelligence

Leverage operational data for insight, decision‑making, and execution—transforming logs, performance metrics, and network traces into actionable business intelligence.

Employee Empowerment

Use robots with tireless computation and expert knowledge to create human‑machine collaborative emergency response, enhancing speed and reducing errors.

Everything‑as‑Service

Standardize services to lower communication costs, enable automated emergency robots, self‑service dashboards, and seamless incident handling.

By integrating these concepts, organizations can evolve from static stability to an adaptive system that continuously supports digital transformation, accelerates innovation, and sustains high‑quality service.