Human augmentation use case: Personalizing technology support for all workers

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Human augmentation use case: Personalizing technology support for all workers

⚡The challenge

While AI, robotics, and augmented reality are becoming commonplace in both work and daily life, there’s a gap in making these technologies truly accessible and beneficial for diverse workforce groups, including older workers and people with disabilities.

🎯What we’re addressing

o Machinery and equipment manufacturing sector.
o Assembly, welding, and logistics operations.

Implementation of:

→ Augmented Reality for training.

→ Generative AI and Large Language Models

→ Robotics for task assistance

⚠️Current Gaps

o Limited training solutions for diverse worker groups
o Insufficient understanding of reciprocal learning processes
o Lack of proven training program designs
o Missing policy frameworks for inclusivity and diversity.

💡The Solution

1️⃣ Creating inclusive training solutions that adapt to different worker needs and abilities
2️⃣ Developing smart decision-making systems that support worker growth
3️⃣ Enabling workers to focus on specialized and supervisory roles while automation handles physical tasks

Our aim is to expand the workforce pool by making technology work for everyone, regardless of their background or abilities.