Introduction to Spatial Computing in 2024
Spatial learning in corporate education is the hot tech topic of 2024. Alongside emerging technology drivers like genAI, spatial computing solutions—including AR/VR/MR technologies—are transforming the workplace today. Vendors and solution providers are working closely with enterprise firms to discover new and exciting use cases for immersive technology, such as immersive learning, remote guidance, and simulations.
Why Businesses Should Consider Spatial Computing
Despite the learning curve, the benefits of XR in the enterprise are significant, particularly in learning and training use cases. Companies are retaining knowledge and upskilling workers effectively through spatial learning solutions. Business leaders and workers are busy daily, so getting an established workforce to participate in XR use cases may seem challenging. However, the investment in time is well worth the returns.
A Game-Changer for Enterprise Learning and Training
XR allows for widespread knowledge dissemination and the creation of extensive digital training assets. These solutions are customizable and can fit any working environment, from aviation to retail and healthcare. Virtual, augmented, or mixed reality solutions are molding to suit various sectors…Highly customizable XR learning solutions are agnostic and can fit any working environment.
Enhancing Traditional Training Methods
Immersive learning solutions can enhance or replace traditional training methods, offering repeatable virtual scenarios that save money, meet sustainability goals, and reduce worker risk. Businesses can leverage various emerging technologies such as digital twins, virtual collaboration tools, and smart glasses to provide real-time, interactive, persistent, and synchronous workflows.
Leveraging Emerging Technologies
Businesses can use spatial learning solutions to leverage digital twins, virtual collaboration tools, and smart glasses, enabling real-time, interactive workflows and solving complex problems virtually.
“Technological advancements are enabling businesses to solve increasingly complex problems virtually or via simulation—breaking down traditional barriers and bringing software agility to physical operations.”
The Importance of Data in Spatial Learning
Spatial training data can move between 2D and 3D sets, unifying and consolidating sensitive data into comprehensive digital resources. This provides new value to pre-existing training resources and allows businesses to provide extensive digital catalogues of in-depth virtual hands-on training assets. These assets ensure workers can practice skills year after year.
Enterprise Adoption of Spatial Computing
Businesses with appropriate use cases and an understanding of learner behaviors are likely to succeed in implementing XR solutions. Understanding definitions, data collection, and experiences is crucial for measuring the success of training programs.
“Adopters must understand the importance of analyzing and measuring expected learner outcomes to discover the effectiveness of a virtual environment or asset.”
Education will never be the same.
People are finding some incredible use cases with Apple Vision Pro and spatial computing.
10 wild use cases:
1. Learning how heart workspic.twitter.com/MRvNPMeuCH
— Min Choi (@minchoi) March 24, 2024
Success Stories and Industry Examples
Companies like S&P Global have successfully implemented spatial learning solutions, overcoming monetary and technological barriers to enhance engagement and knowledge transfer among employees. The firm partnered with ARuVR to leverage spatial computing, solving real-world problems and connecting dispersed workers. This led to increased engagement and knowledge transfer across 2,500 workers.
Emerging Opportunities in the XR Market
The market is rapidly growing with multiple hardware vendors like Apple, Lenovo, Meta, Pico, and HTC VIVE offering competitive products. Successful hardware onboarding leads to the adoption of revolutionary spatial applications. “For example, Lenovo is scaling its enterprise-focused ThinkReality VRX headset as a powerful technology that leverages Qualcomm’s Snapdragon XR2+ Gen 1 chipset, providing experiences for VR training, collaboration, and innovation.”
Paving the Way for the Future of Corporate Learning
Immersive learning is gaining usability and effectiveness, offering innovative opportunities for enterprise adopters to shape the future of work. As the technology continues to advance, the options for enterprise-grade spatial learning will only be limited by the imagination and determination of a business. We encourage our readers to share their thoughts and experiences with spatial learning in the comments below. How do you see XR technologies transforming your workplace?
