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Discover a new approach to leveraging AR and AI that will allow you to continually improve the productivity of your frontline workforce

Frontline workers have been largely underserved for the past 20 years, as it comes to using new technology to helping them be more productive. This is due to the fact that most new technology offers are complicated to implement, expensive, and don’t provide room for continuous improvement.

When applied correctly though, the emergence of AI and AR, as well as a new trend towards the consumerization of software have the potential to change the fate of the frontline worker.

Download this white paper and learn:

  • How to guide frontline workers to new levels of efficiency with augmented procedures that are powered by AR and AI
  • How AI can provide rich insights into human behavior that ultimately unlocks the value of AR and wearable tech
  • How the “consumerization of enterprise software” is paving the way for companies to easily try, buy, and own new technology solutions

In a global business environment characterized by disruption, change, and volatility, the digital transformation of industrial operations is much more than a well-established trend. Industrial Transformation (IX) is the strategic approach manufacturers and other industrial organizations increasingly rely on for competitive differentiation and ultimately sustainable, profitable growth.

Industrial organizations are shifting to a more holistic view of Connected Operations that digitally integrates frontline workers into the overall operational management system – the Connected Worker. Use cases in the initial wave of IX investment focused on using asset-related data and advanced analytics to drive improvement in areas such as asset reliability, energy management, and product quality. Now, there is a strong trend towards an integrated approach that incorporates workforce considerations into IX initiatives and using people-related data to drive improvement in the overall operational management system.

Nearly half of industrial organizations are already well underway with implementing or piloting a wide range of IX initiatives to digitally connect their operations. However, not all is going smoothly. Despite significant levels of IX investment, there is considerable disparity in organizational achievement of business value and targeted results. LNS Research has categorized companies based on where they are in their IX journey: “Leaders” (the top 30% experiencing real success), early-stage “Followers” (54%), and those that are “Stuck” in pilot stages (15%). The rise of the digitally Connected Worker reflects the conventional wisdom that improvement, whether incremental or step-change, calls for holistic alignment of the right people, process, and technology capabilities.

The research presented by LNS in this eBook explores:

  • Why Connected Worker initiatives are strategic as well as their role in IX programs
  • Frameworks for conceptualizing and formulating Connected Worker solutions
  • The selection and implementation of Connected Worker use cases, and evidence of business value
  • Actionable recommendations

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Harbor Research was recently given the opportunity to examine a new software platform that takes a refreshingly new approach to integrating augmented reality (AR) and artificial intelligence (AI) in a comprehensive offering that better enables manufacturing and services industry workers to perform their jobs.

Augmentir leapfrogs the current Enterprise AR market’s noise, clutter, and failures by cleverly unifying core work- instruction and process-development tools with AI and machine learning in a single, scalable solution. In so doing, Augmentir is re-defining the concept of augmented reality for the enterprise and creating a new market meta-category.

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With the growing skills gap and aging workforce causing increased pressures, and workplace dynamics forcing remote and independent work, manufacturing and service companies are turning to emerging digital technologies to empower their workforces with the tools and knowledge needed to perform at higher levels of safety, quality, and productivity.