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Human Digital Twins: Harnessing Human Abilities without Displacing Individuals

Businesses are shelling out wages for workers to dedicate over half their workday on tasks that are lower-tier and susceptible to automation.

Human Digital Twins: Leveraging Technology to Enhance Human Capacities Rather Than Superceding...
Human Digital Twins: Leveraging Technology to Enhance Human Capacities Rather Than Superceding Humans

Human Digital Twins: Harnessing Human Abilities without Displacing Individuals

In the rapidly evolving world of technology, organisations like NTT DATA are pioneering the integration of Agentic AI-based digital twins in manufacturing operations globally. These digital twins orchestrate machines in real-time, optimising processes and enhancing efficiency and productivity.

The city of Wuppertal in Germany, in collaboration with EFTAS and research institutes, is taking this a step further, developing AI-enhanced urban digital twins for real-time city management and planning. This trend is not limited to the manufacturing and urban sectors; companies in finance, such as Jedox, are using Agentic AI-driven solutions to create digital twins of business processes for enhanced financial planning and performance management.

In Austria, specialist AI companies like DAGOPT Optimization Technologies are developing digital twins for industrial and manufacturing process optimisation, working closely with customers to implement these solutions. These examples demonstrate the readiness of various sectors to adopt digital twins powered by Agentic AI.

For businesses, the benefits of digital twins are substantial. By handling operational tasks, digital twins can free up employees' time, allowing them to focus on creative, strategic, and problem-solving activities. Tasks such as scheduling meetings, submitting expenses, and tracking IT tickets can be offloaded to digital twins, reducing the time spent on day-to-day admin work.

According to Asana's recent Anatomy of Work Index, workers spend as much as 60% of their time on tasks unrelated to their primary functions. By offloading these tasks to digital twins, companies can ensure their employees are focusing on work they care about and tasks requiring their specialized expertise.

Moreover, investing in Agentic AI digital twins can lead to faster task resolution, higher employee satisfaction and retention, and reduced operational costs. Rohan Joshi, CEO and co-founder of Wolken Software, a company providing customer service and ESM solutions through AI-backed technologies, echoes this sentiment.

It is important to note that digital twins should not replace high-value tasks handled by employees. Instead, they serve as tools to empower employees, leading to productivity leaps, employee hours saved, and improved morale scores.

In conclusion, the integration of Agentic AI digital twins in various sectors offers a promising future for businesses, cities, and industries, enabling them to optimise processes, reduce operational costs, and empower employees to focus on high-value tasks.

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