Today’s dynamic and changing manufacturing workforce needs continuous learning and performance support to effectively sustain and deliver effective on-the-job performance.

Continuous learning and workforce development for the industrial frontline workforce

Every day we hear about the growing “Skills Gap” associated with the industrial frontline workforce. The story is that 30% of workers are retiring in the near future and they are taking their 30+ years of tribal knowledge with them, creating the need to quickly upskill their more junior replacements. In an attempt to solve the knowledge gap issues, an entire generation of companies set out to build “Connected Worker” software applications, however, they all relied on the existing training, guidance, and support processes – the only true difference with this approach has been the creation of technology that takes your paper procedures and puts them on glass.

Along with tribal knowledge leaving, today’s workforce is also more dynamic and diverse than previous generations. The 30-year dedicated employees are no longer the norm. The average manufacturing worker tenure is down 17% in the last 5 years and the transient nature of the industrial worker is quickly accelerating. An outgrowth of the COVID pandemic brings forth the Great Resignation, where workers are quitting in record numbers, and worker engagement is down almost 20% in the last 2 years. 

This new workforce is changing in real-time – who shows up, what their skills are, what jobs they need to do, is a constantly moving target. The traditional “one size fits all” approach to training, guidance, and performance support is fundamentally incapable of enabling today’s workers to function at their individual peak of safety, quality and productivity. 

Digitizing work instructions is a great start to helping the skilled workers issue but alone, it won’t help completely solve the problem. We must go a step further to overcome the lack of a skilled and qualified manufacturing workforce. 

Enter the 2nd generation of Connected Worker software, one based on a data-driven, AI-supported approach that helps train, guide, and support today’s dynamic workforces by combining digital work instructions, remote collaboration, and advanced on-the-job training capabilities. 

These 2nd generation connected worker solutions are designed to capture highly granular data streaming from connected frontline workers. These platforms are built from the ground up on an artificial intelligence (AI) foundation. AI algorithms are ideal for analyzing large amounts of data collected from a connected workforce. AI can detect patterns, find outliers, cleanse data and find correlations and patterns that can be used to identify opportunities for improvement and creates a data-driven environment that supports continuous learning and performance support.

This approach aligns perfectly with the dynamic, changing nature of today’s workforce, and is ideally suited to support their 5 Moments of Need, a framework for gaining and sustaining effective on-the-job performance.

For example, Augmentir’s AI-powered connected worker platform leverages anonymized data from millions of job executions to significantly improve and expand its ability to automatically deliver in-app AI insights in the areas of productivity, safety, and workforce development. These insights are central to Augmentir’s True Proficiency™ scoring, which helps to objectively baseline each of your team members for their level of proficiency at every task so organizations can optimize productivity and throughput, intelligently schedule based on proficiency and skill-levels, and personalize the level of guidance and support to meet the needs of each member of the workforce.

This provides significant benefits to Augmentir customers, who leverage Augmentir’s AI in conjunction with the platform’s digital workflow and remote collaboration capabilities, allowing them to deliver continuous improvement initiatives centered on workforce development. These customers are able to utilize the insights generated from Augmentir’s AI to deliver objective performance reviews, automatically identify where productivity is lagging (or has the potential to lag), increase worker engagement, and deliver highly personalized job instructions based on worker proficiency.

Traditionally, there was a clear separation between training and work execution, requiring onboarding training to encompass everything a worker could possibly do, extending training time and leading to inefficiencies. Today, with the ability to deliver training at the moment of need, onboarding can focus on everything a worker will probably do, significantly reducing onboarding time. In one particular case, Bio-Chem Fluidics was able to reduce onboarding time for new employees by up to 80%, while simultaneously achieving a 21% improvement in job productivity across their manufacturing operation.

As workers become more connected, companies have access to a new rich source of activity, execution, and tribal data, and with proper AI tools can gain insights into areas where the largest improvement opportunities exist. Artificial Intelligence lays a data-driven foundation for continuous improvement in the areas of performance support, training, and workforce development, setting the stage to address the needs of today’s constantly changing workforce.

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As a leader in the connected worker software market, we have experienced the highs and the lows that the pandemic has brought to the industrial frontline worker market. One area that stands out in particular is the equipment field service space. Equipment OEMs typically support the installation, startup, maintenance, and repair of their products through […]

As a leader in the connected worker software market, we have experienced the highs and the lows that the pandemic has brought to the industrial frontline worker market. One area that stands out in particular is the equipment field service space. Equipment OEMs typically support the installation, startup, maintenance, and repair of their products through some combination of a direct service force, a dealer service network, or their customers. For sophisticated equipment, much of this work has required visits to the customer site, which was made virtually impossible when the COVID pandemic spread.   

This created a real problem, since the “instructions” available to support these services were designed for technicians that already knew how to perform the work.  OEMs had to quickly find a way to project some type of virtual presence, to mimic being on-site as closely as possible. 

This led to a rush to implement either industrial “remote expert” tools, enterprise collaboration products like Cisco Webex and Microsoft Teams, or consumer products like FaceTime.

While these solutions have been good at providing a short term band-aid to relieve the symptom, they don’t really address the underlying problem – the lack of rich, interactive workflows that are able to guide technicians with a wide range of skills to perform these tasks safely, correctly, and at an acceptable level of productivity. It’s a similar scenario to taking aspirin to treat a fever from an infection – aspirin may provide short-term relief, but ultimately it masks the presence and reduces the urgency to treat the underlying cause. Without looking forward and taking the next step in the connected worker journey, OEM’s will forever be required to provide 100%, synchronous, live support to make sure these tasks are done correctly and that customers are satisfied.

Achieving Digital Maturity to Reduce Support Costs and Improve Customer Satisfaction 

At Augmentir, we see “Digitally Mature” organizations as those that are continually moving forward on the digital continuum and have the ability to drive continuous improvement through the adoption of tools that help digitally connect their workforce. 

For equipment OEMs, we see digital maturity happening over four stages of the connected worker journey: 

Connected Worker Journey in Field Service

Step 1 – Remote Assistance

Industrial AR-based remote assistance solutions that provide worker guidance and support are a simple first step in the connected worker journey. Designed to be used by field service technicians or customers, these industrial solutions allow companies to provide rich interactive (chat, voice, video) support to field techs or customers to solve an immediate need.

Step 2 – Augmented, Guided Instructions 

With a connected workforce, equipment OEMs can drive greater efficiency by digitizing paper-based work instructions and maintenance/repair procedures. Digital work instructions help intelligently guide technicians (or customers) of all skill levels to complete these tasks independently and correctly. 

In this scenario, remote assist plays a supporting role (as it should) to ensure customer satisfaction. Customers have higher satisfaction rates because the work is done on their time schedule and OEMs see a reduction in their direct support costs.  

Step 3 – AI Support Bots

OEMs can drive further service optimization through AI support bots that provide autonomous, digital assistance.

Service technicians that require additional support can benefit from AI bots that autonomously deliver answers to questions, digital content such as drawings, pictures and videos, and rich sets of digital work instructions, to help workers resolve issues and complete the work independently. This allows a portion of customer remote assist requests to be handled autonomously, further increasing customer satisfaction and reducing direct support costs.

Augmentir Remote Assist for Field Service Technicians

Step 4 – AI-based Opportunity Insights

As workers become more connected, companies have access to a new rich source of activity, execution, and tribal data, and with proper AI tools, can gain insights into areas where the largest improvement opportunities exist for their service delivery. Artificial Intelligence lays a data-driven foundation for continuous improvement in the areas of productivity, quality, and workforce development, setting the stage to address the needs of a constantly changing workforce.

For example, after Augmentir is deployed for a number of months, our AI engine will start identifying patterns in the data that will allow you to focus your efforts on the areas that have the biggest customer satisfaction, productivity, and field service workforce development opportunities. This will allow you to answer questions such as:

  • Where should I invest to get the biggest improvement in customer satisfaction?
  • What service tasks have the largest productivity or quality opportunity?
  • Where would targeted training give me the biggest return?

Augmentir’s True Opportunity™ engine continuously updates its insights to enable companies to focus on their largest areas of opportunity, enabling you to deliver year over year improvements in key customer service metrics.

What is Your Digital Maturity?

Imagine, as you move forward on your connected worker journey, increasing customer satisfaction while reducing support costs, all while making your service delivery more productive – across your direct staff, dealers, or end customers.

Contact us today to take our digital maturity assessment and start your journey towards a digitally connected enterprise.

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August 16, 2021

Augmentir was once again recognized by Gartner as a key vendor for Connected Factory Worker technology. In Gartner’s latest Hype Cycle for Consumer Goods, Augmentir was highlighted as an important software vendor for Connected Factory Workers and Immersive Experience in Manufacturing. This marks the seventh time in 2021 that Augmentir has been recognized by Gartner for leadership in emerging technologies for manufacturing.

Digital Technology – A Key Priority for Consumer Goods CEOs

This Gartner report identifies technology as a key priority for consumer goods CEOs, and states that “79% of Consumer Goods CEOs plan to increase their investment in digital capabilities.”

According to the hype cycle report, “Investments in long-delayed digital initiatives came to the forefront due to the pandemic.” Digital transformation initiatives were put into focus and brought to the forefront due to the impact of the pandemic, increased remote working, and supply chain disruptions, and many leading consumer goods manufacturers were “jolted to invest in long-delayed digital plans.”

Gartner highlighted Connected Factory Workers and Immersive Experience in Manufacturing as offering transformational benefits for consumer goods manufacturers, and mentions Augmentir as a key software vendor in each category.

  • Connected Factory Worker: Connected factory workers use various digital tools to improve the safety, quality, and productivity of the jobs they perform. In consumer goods manufacturing, this may include enabling digitization of maintenance procedures, changeover procedures, EHS lockout/tagout procedures, quality checklists, and plant walkabouts via digitized step by step instructions or guided workflows. This technology helps connect workers to the “digital fabric” of the business, providing insight into the tasks they perform so that they can be optimized and continually improved on.
  • Immersive Experience in Manufacturing Operations: According to Gartner, immersive experiences refer to enabling the perception of being physically present in a nonphysical world or enriching people’s presence in the physical world with content from the virtual world. Gartner sees using immersive experiences as important for “accelerating problem solving and broadening continuous improvement dialogue through virtual or remote access.” This approach is being use for quality and maintenance tasks, remotely connecting with employees that are not able to be on-site, or wearables for safety management.

These hype cycles and innovation profiles are provided by Gartner to help organizations decide which new innovations and technology to adopt and when, as well as what value they can provide to their manufacturing operations.

Accelerating Your Digital Journey with Augmentir

Many leading consumer goods manufacturers, including Colgate-Palmolive, have adopted Augmentir to connect their frontline workforce and accelerate their digitization efforts. Augmentir’s AI-based connected worker platform offers connected worker technology with augmented work instructions. Equipped with digital devices that could include tablets, mobile phones, or even AR-enabled industrial smart glasses, frontline workers are able to receive fully augmented, guided instructions on any device to improve productivity, quality and allow workers to perform their jobs more independently. These help guide workers with visual aids, AR/MR experiences, and contextual information.

For example, since the selection of Augmentir in November 2020, Colgate has already seen tremendous progress towards their digital transformation goals and has digitized over 1000 workflows across 10 global plants, resulting in significant value and productivity improvements in maintenance tasks, line changeovers, and shift changes.

Optimizing Worker Performance with AI

Gartner further recommends that consumer goods manufacturers: “Make your focus the creation of a “data-driven” culture in manufacturing operations.” This includes not only integrating factory workforces with their virtual and physical surroundings, but also driving a culture change towards data-driven performance optimization and workforce development.

Artificial Intelligence (AI) is a key foundation for data-driven transformation within the manufacturing workforce.

As workers become more connected, companies have access to a new rich source of activity, execution, and tribal data, and with proper AI tools can gain insights into areas where the largest improvement opportunities exist. Artificial Intelligence lays a data-driven foundation for continuous improvement in the areas of productivity, quality, and workforce development, setting the stage to address the needs of a constantly changing workforce.

Our view at Augmentir is that the purpose of a connected worker platform isn’t simply to deliver instructions and remote support to a frontline worker, but rather to continually optimize the performance of the connected worker ecosystem. AI is uniquely able to address the fundamental macrotrends of skills variability and the loss of tribal knowledge in the workforce. With an ecosystem of content authors, frontline workers, subject matter experts, operations managers, continuous improvement engineers, and quality specialists, there are dozens of opportunities to improve performance.

Interested in learning more?

If you’d like to learn more about Augmentir and see how our AI-Powered connected worker platform improves safety, quality, and productivity across your workforce, schedule a demo with one of our product experts.

 

 

 

 

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August 13, 2021

Augmentir Recognized in Gartner Hype Cycles Manufacturing Digital Transformation

Augmentir was recently recognized by Gartner in four separate Hype Cycle reports that cover technology innovation in manufacturing. These four reports include:

  • Hype Cycle for Manufacturing Digital Transformation and Innovation, 2021
  • Hype Cycle for Manufacturing Operations Strategy, 2021
  • Hype Cycle for Manufacturing Digital Optimization and Modernization, 2021
  • Hype Cycle for Frontline Worker Technologies, 2021

In these reports, Gartner highlights Augmentir as a key software vendor in the Connected Factory Worker and Immersive Experiences in Manufacturing Operations categories.

  • Connected Factory Worker: Connected factory workers use various digital tools to improve the safety, quality, and productivity of the jobs they perform. This technology helps connect workers to the “digital fabric” of the business, providing insight into the tasks they perform so that they can be optimized and continually improved on.
  • Immersive Experiences in Manufacturing Operations: According to Gartner, immersive experiences refer to enabling the perception of being physically present in a nonphysical world or enriching people’s presence in the physical world with content from the virtual world. Gartner sees using immersive experiences for quality and maintenance tasks, remotely connecting and collaborating with employees that are not able to be on-site, or wearables for safety management.

These hype cycles and innovation profiles are provided by Gartner to help organizations decide which new innovations and technology to adopt, as well as what value they can provide to their manufacturing operations.

Digital Transformation in Manufacturing

According to Gartner, the manufacturing industry is being transformed by new business models and strategic, innovative technologies that fit within Industrie 4.0. Manufacturers can capitalize on advancements made in artificial intelligence (AI), visualization, collaboration, and greater connectivity across enterprises.

This was the focus in Gartner’s recently published reports, which revealed opportunities for manufacturing leaders to gain business advantages through concepts and technologies that improve productivity and decision making. Besides adding value to manufacturing businesses, they increase windows of competitive advantage.

The Connected Worker – A first step for Digital Transformation in Manufacturing

Manufacturers are beginning to recognize just how integral frontline workers are to their company’s digital fabric and that overlooking these workers has caused their digital transformation efforts to fall short of their objectives.

These same industry leaders are now investing in an integrated approach – empowering their frontline teams with connected worker solutions that utilize technology such as mobile and wearable devices, augmented and mixed reality (AR/MR), remote collaboration tools, and artificial intelligence (AI). Connected worker solutions that bring together these technologies are helping to connect a new class of workers and are allowing organizations to proactively and continually deliver the right level of training, support, guidance, and improvement.

Optimizing Worker Performance with AI

As workers become more connected, companies have access to a new rich source of activity, execution, and tribal data, and with proper AI tools can gain insights into areas where the largest improvement opportunities exist. Artificial Intelligence lays a data-driven foundation for continuous improvement in the areas of productivity, quality, and workforce development, setting the stage to address the needs of a constantly changing workforce.

Our view at Augmentir is that the purpose of a connected worker platform isn’t simply to deliver instructions and remote support to a frontline worker, but rather to continually optimize the performance of the connected worker ecosystem. Artificial intelligence is uniquely able to address the fundamental macrotrends of skills variability and the loss of tribal knowledge in the workforce, and creates a foundation for data-driven improvements to operational performance and continuous improvement.

“AI will play a critical role in the long-term success of connected factory workers. As more information is curated and made available, algorithms must be continually trained in alignment with continuous improvement initiatives, creating the potential for enhanced root cause analysis.”

Gartner

With an ecosystem of content authors, frontline workers, subject matter experts, operations managers, continuous improvement engineers, and quality specialists, there are dozens of opportunities to improve performance using AI. For example, after Augmentir is deployed for a number of months, our AI engine will start identifying patterns in the data that will allow you to focus your efforts on the areas that have the biggest customer satisfaction, productivity, and workforce development opportunities. This will allow you to answer questions such as:

  • Where should I invest to get the biggest improvement in operational performance?
  • What manufacturing tasks have the largest productivity or quality opportunity?
  • Where would targeted training give me the biggest return?

Augmentir’s AI continuously updates its insights to enable companies to focus on their largest areas of opportunity, enabling you to deliver year over year improvements in key operational metrics.

Interested in learning more?

If you’d like to learn more about Augmentir and see how our AI-Powered connected worker platform improves safety, quality, and productivity across your workforce, schedule a demo with one of our product experts.

 

 

 

 

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The impact of COVID-19 has changed the manufacturing landscape permanently, and clear changes are necessary for manufacturing leaders in order to stay competitive and succeed in this new normal. This was the focus in Gartner’s recently published annual Hype Cycle for Manufacturing Operations Strategy, which focused on a portfolio of enabling capabilities and technologies, and […]

The impact of COVID-19 has changed the manufacturing landscape permanently, and clear changes are necessary for manufacturing leaders in order to stay competitive and succeed in this new normal. This was the focus in Gartner’s recently published annual Hype Cycle for Manufacturing Operations Strategy, which focused on a portfolio of enabling capabilities and technologies, and their potential business impacts. The goal of this Hype Cycle report was to provide a holistic view of key concepts that can guide manufacturers when defining both short-term and long-term strategies for growth.

Augmentir was recognized as an important player for Connected Factory Worker technology and Immersive Experiences in Manufacturing.

Emerging Technologies in Manufacturing

According to Gartner, “a dynamic and volatile market environment is changing the face of manufacturing operations. This Hype Cycle will help manufacturing operations leaders shape future strategies, create roadmaps, align investments and educate peers.”

It is not business as usual in 2020. The impact of COVID-19, and changes in how factories are located, staffed, managed and digitized are placing pressure on manufacturing operations leaders. Technologies such as artificial intelligence (AI) and augmented reality (AR) based remote collaboration are central now to the corporate innovation portfolio of any business leader and crucial to boosting productivity at a time when enterprises most need it. This hype cycle highlights these, as well as other key mature and emerging technologies, including the following:

  • Connected Factory Worker: Connected factory workers use various digital tools to improve the safety, quality, and productivity of the jobs they perform. This technology helps connect workers to the “digital fabric” of the business, providing insight into the tasks they perform so that they can be optimized and continually improved on.
  • Immersive Experiences in Manufacturing Operations: According to Gartner, immersive experiences refer to enabling the perception of being physically present in a nonphysical world or enriching people’s presence in the physical world with content from the virtual world. Gartner sees using immersive experiences for quality and maintenance tasks, connecting with employees that are not able to be on-site, or wearables for safety management.

Augmentir is recognized in the context of Connected Factory Workers and Immersive Experiences in Manufacturing Operations as a software and solution provider.

Augmentir’s Approach to Connected Factory Workers and Immersive Experiences in Manufacturing

Augmentir sits at the intersection of these innovation profiles, using artificial intelligence and machine learning (AI/ML) to amplify the value that digital technologies bring to the connected worker.

 

Digitized workflows and augmented work instructions help guide connected workers with visual aids and contextual information. AI is used to personalize the instructions to each worker’s proficiency level, which helps intelligently close the skills gap and enable workers to perform at their best.

Remote Expert guidance helps workers resolve issues faster by leveraging collaboration with remote subject matter experts. Integrated chat allows one expert to support multiple workers. Multi-level escalation helps connected workers solve problems faster.

Augmentir’s AI-based “True Opportunity” system uses granular data to identify the largest opportunities in improving the skills of the frontline workforce and helps to drive continuous improvement throughout the organization.

At Augmentir, our AI identifies patterns and generates insights based on analyzing data from connected workers. These insights improve worker performance as well as provide positive impact on training, operational workflows, and quality. According to Gartner, “The possibility of predicting performance is extremely attractive for manufacturers. This is driving the strong interest in ML. ML is an essential enabler of artificial intelligence (AI), smart factories and intelligent automation”.

Our view at Augmentir is that the purpose of a connected worker platform isn’t simply to deliver instructions and remote support to a frontline worker, but rather to optimize the performance of the connected worker ecosystem. Artificial intelligence is uniquely able to address the fundamental macrotrends of growing skills gaps and the loss of tribal knowledge. With an ecosystem of content authors, frontline workers, subject matter experts, operations managers, continuous improvement engineers, and quality specialists, there are were dozens of opportunities to improve performance.

If you’d like to see how our AI is able to uncover and rank “True Opportunities” across your workforce and improve overall worker performance or drive continuous improvement, schedule a demo today.

 

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Gartner recently published their annual Hype Cycle for Frontline Worker Technology, and Augmentir was recognized as an important player and solution provider. The report covers emerging tech categories for frontline workers including Connected Factory Workers, Remote Expert Guidance solutions, and Augmented Reality. Digital Technologies for Frontline Workers This Hype Cycle focuses on the leading-edge technologies […]

Gartner recently published their annual Hype Cycle for Frontline Worker Technology, and Augmentir was recognized as an important player and solution provider. The report covers emerging tech categories for frontline workers including Connected Factory Workers, Remote Expert Guidance solutions, and Augmented Reality.

Digital Technologies for Frontline Workers

This Hype Cycle focuses on the leading-edge technologies that are transforming the workflows in which frontline workers participate, while also improving the safety, quality, and productivity of the activities they perform.

According to the report, “The COVID-19 crisis has led organizations to ask frontline workers to work in new ways or to perform new tasks. To optimize efficiency, organizations are investing in mobile technology, including wearable technologies for frontline workers. These technologies transform the workflows in which these workers participate. Gartner predicts that up to 70% of new mobile and endpoint investments over the next five years will be for frontline workers”.

This Hype Cycle highlights several key mature and emerging technologies that are focused on helping frontline worker productivity, including the following:

  • Remote Expert Guidance Solutions: Remote expert guidance solutions provide industrial-level collaboration between subject matter experts and remote workers or customers utilizing mobile or wearable devices. Typical features include chat, live video, file sharing, and annotations, which provide visual cues that overlay the worker’s view. These tools help guide remote workers as they perform tasks, and are used across a variety of use cases – maintenance and repair procedures, remote factory acceptance tests, post-task audits, or training.
  • Connected Factory Worker: Connected factory workers use various digital tools to improve the safety, quality, and productivity of the jobs they perform. This technology helps connect workers to the “digital fabric” of the business, providing insight into the tasks they perform so that they can be optimized and continually improved on.
  • Augmented Reality and Mixed Reality (AR/MR): Connected workers use augmented and mixed reality technologies to improve and integrate their interactions with both physical and virtual surroundings. Through the use of digital work instructions, as well as augmented/mixed reality delivered through mobile and wearable devices, they are able to make faster and better decisions that optimize and improve a process or workflow that they participate in.

Augmentir’s Approach to the Connected Frontline Worker

Augmentir sits on the intersection of these innovation profiles, using artificial intelligence and machine learning (AI/ML) to amplify the value that digital technologies bring to the connected worker.

Augmented Work Instructions and digitized workflows help guide connected workers with visual aids while AI-driven insights provide contextual information that enable workers to perform at their best.

Remote Expert Guidance helps companies virtually connect and collaborate with their frontline workforce and their customers to provide remote guidance and support.

AI-based Operational Insights help companies identify the largest opportunities in improving the skills of the frontline workforce, and helps to drive continuous improvement throughout the organization.

At Augmentir, our AI identifies patterns and generates insights based on analyzing data from connected workers. These insights improve worker performance as well as provide positive impact on training, operational workflows, and quality. According to Gartner, “The possibility of predicting performance is extremely attractive for manufacturers. This is driving the strong interest in ML. ML is an essential enabler of artificial intelligence (AI), smart factories and intelligent automation.”

Our view at Augmentir is that the purpose of a connected worker platform isn’t simply to deliver instructions and remote support to a frontline worker, but rather to continually optimize the performance of the connected worker ecosystem. Artificial intelligence is uniquely able to address the fundamental macrotrends of skills variability and the loss of tribal knowledge in the workforce. With an ecosystem of content authors, frontline workers, subject matter experts, operations managers, continuous improvement engineers, and quality specialists, there are dozens of opportunities to improve performance.

If you’d like to see how our AI-Powered Connected Worker platform improves safety, quality, and productivity across your workforce, schedule a demo with one of our product experts.

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Gartner recently published their annual Hype Cycle for Manufacturing Operations Strategy and Innovation in Manufacturing Industries. These two Hype Cycles focus on the leading-edge technologies and methodologies that will significantly change how manufacturers innovate, deliver and support products and services. Augmentir was recognized as an important player in both Hype Cycle reports. Emerging Technologies in […]

Gartner recently published their annual Hype Cycle for Manufacturing Operations Strategy and Innovation in Manufacturing Industries. These two Hype Cycles focus on the leading-edge technologies and methodologies that will significantly change how manufacturers innovate, deliver and support products and services.

Augmentir was recognized as an important player in both Hype Cycle reports.

Emerging Technologies in Manufacturing

According to the report, “manufacturers that adopt the breakthrough opportunities presented as innovation profiles on this Hype Cycle will accelerate digitalization that increases the agility and ability to innovate products and business operations”.

These Hype Cycles, which reflect the convergence of the physical and virtual worlds, present several key mature and emerging technologies, including the following:

  • Connected Worker: Connected workers use digital technologies to improve and integrate their interactions with both physical and virtual surroundings. Through the use of digital work instructions, as well as augmented/mixed reality delivered through mobile/wearable devices, they are able to make faster and better decisions that optimize and improve a process or workflow that they participate in.
  • Immersive Experiences – Manufacturing Operations: According to Gartner, immersive experiences refer to enabling the perception of being physically present in a nonphysical world or enriching people’s presence in the physical world with content from the virtual world. The report covers three kinds of immersive experiences: Augmented Reality (AR), Mixed Reality (MR), and Virtual Reality (VR).
  • Machine Learning: Machine learning is a technical discipline that identifies patterns and generates predictions based on analyzing large sets of data. According to Gartner’s research: “In manufacturing operations, machine learning (ML) can take advantage of available data and rely on the algorithms to identify patterns and correlations. It can also use them to predict outcomes, to find the best course(s) of action and to control processes. Typical use cases include eliminating unplanned downtime and stoppages, increasing yield optimization, reducing energy usage, improving product quality or stabilizing production processes.”

Augmentir is mentioned in the context of Connected Workers and Immersive Experiences in Manufacturing Operations as software and solution provider.

Augmentir’s Approach to Connected Workers and Immersive Experiences in Manufacturing

Augmentir sits and the intersection of these innovation profiles, using artificial intelligence and machine learning (AI/ML) to amplify the value that digital technologies bring to the connected worker.

Digital Work Instructions help guide connected workers with visual aids and augmented with AI-driven insights and contextual information enable workers to perform at their best.

Integrated Remote Expert assistance helps workers resolve issues faster using insights from Augmentir’s AI and information from the guided procedure.

Augmentir’s AI uses granular data  to identify the largest opportunities in improving the skills of the frontline workforce, and helps to drive continuous improvement throughout the organization.

At Augmentir, our AI identifies patterns and generates insights based on analyzing data from connected workers. These insights improve worker performance as well as provide positive impact on training, operational workflows, and quality. According to Gartner, “The possibility of predicting performance is extremely attractive for manufacturers. This is driving the strong interest in ML. ML is an essential enabler of artificial intelligence (AI), smart factories and intelligent automation”.

Our view at Augmentir is that the purpose of a connected worker platform isn’t simply to deliver instructions and remote support to a frontline worker, but rather to optimize the performance of the connected worker ecosystem. Artificial intelligence is uniquely able to address the fundamental macrotrends of growing skills gaps and the loss of tribal knowledge. With an ecosystem of content authors, frontline workers, subject matter experts, operations managers, continuous improvement engineers, and quality specialists, there are were dozens of opportunities to improve performance.

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By now, most of us have heard the phrase – “the global pandemic has changed the way we work”. This has proven to be true for all industrial companies, where the changing workplace dynamics, increased safety, and supply chain disruptions have forced companies to rethink how they support their workforce and empower them to perform […]

AR-based remote assistance for frontline workers - start your digital journey with Augmentir

By now, most of us have heard the phrase – “the global pandemic has changed the way we work”. This has proven to be true for all industrial companies, where the changing workplace dynamics, increased safety, and supply chain disruptions have forced companies to rethink how they support their workforce and empower them to perform at high levels of safety, quality, and productivity.

Many companies have shifted and adopted remote work policies to offset travel limitations and ensure safety. Despite the shift to remote work, there are still nearly 2 billion frontline or field workers in the global workforce. Most of these frontline jobs cannot be done remotely, yet these workers still need access to digital information, guidance, training, and support, which was previously given in person.

Bringing Remote Assistance Tools to the Frontline

Unfortunately, typical office videoconferencing and virtual collaboration tools (e.g. Zoom, Microsoft Teams), which are designed for desktop-based knowledge workers, are not always appropriate for the workplace of the frontline – workers on factory floors or healthcare facilities, engineers on oil rigs, or field service technicians out in the field.

Industrial connected worker solutions that include augmented reality (AR) based remote assistance are uniquely suited for the operating environments that frontline workers participate in, and for the mobile and wearable devices they use. These industrial solutions combine live video streaming with augmented reality to create a powerful collaboration tool for frontline teams.

Value Across a Range of Industrial Use Cases

  • Remote Support for Direct or Dealer Field Technicians – Remote expert guidance and assistance tools now enable support for service teams, allowing technicians that are on-site to perform maintenance and repair procedures with improved safety, quality and efficiency with the help from virtual subject matter experts.
  • Remote Support for Customers –  For companies that are unable to offer on-site service technicians, remote assistance tools provide the ability for customers to be more self sufficient and provide an improved level of self-service. Remote assist tools allow customers to connect with subject matter experts to safely and efficiently perform routine service and maintenance routines.
  • Remote assistance tools are also being used for internal manufacturing collaboration, where many companies are using remote assistance tools to virtually connect frontline workers in factories with remote subject matter experts (SMEs) to improve troubleshooting and support workers during changeover, maintenance, or other operational processes.
  • Manufacturers are also extending remote assistance tools out to OEMs and 3rd party SMEs for remote equipment maintenance, virtual factory and site acceptance tests, and troubleshooting when they are unable to travel onsite.

A Digitally Connected Workforce

Now is the time to consider remote assistance and collaboration solutions, and to begin on your journey towards digitizing and connecting your frontline workforce. In addition, with integrated digital workflows, frontline workers can be guided to independently complete jobs safely and correctly. AI & Human Feedback capture tribal knowledge, while AI is used for continuous improvement efforts. These technologies are proving to be practical and effective ways to close skill gaps and transform training efforts – allowing your frontline workers to work safely and efficiently in today’s new normal.


Learn more about how connected worker solutions that include augmented reality (AR) based remote assistance are uniquely suited for the frontline workforce. Check out our comprehensive guide and checklist of requirements for evaluating and selecting augmented reality (AR) based industrial Remote Assistance solutions.

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