How remote assistance technology can transform manufacturing

Manufacturing Digital speaks with Niclas Elvgren, Head of Imint’s Professional Solutions Business Unit on the role of remote assistance in manufacturing In this interview with Manufacturing Digital, Niclas Elvgren, Head of the Professional Solutions Business Unit at Swedish software company Imint, speaks about his career journey, the company’s offerings and the role of remote assistance devices in…

Manufacturing Digital speaks with Niclas Elvgren, Head of Imint’s Professional Solutions Business Unit on the role of remote assistance in manufacturing

In this interview with Manufacturing Digital, Niclas Elvgren, Head of the Professional Solutions Business Unit at Swedish software company Imint, speaks about his career journey, the company’s offerings and the role of remote assistance devices in the manufacturing sector.

Please introduce yourself and your role.

“My name is Niclas Elvgren and I am the head of the professional solutions business unit at Imint, which includes our remote assistance technologies unit. I have been with the company for seven years, taking part in our journey of introducing new products, leading our entrance into the remote assistance category and expanding our offerings into new applications and markets.”

What led you to this industry?

“When I started at Imint seven years ago, we were targeting the top smartphone vendors of the world. After establishing strong relationships with most of the big Android-based brands, we started broadening our perspective. It was then natural to expand our focus to the remote assistance market, since it was rapidly growing and we saw great potential in leveraging our expertise and fine-tuning our products to fit this segment. My background running our customer service team and managing all presales at the time gave me the experience needed to help Vidhance evolve and address new areas of video usage.”

What is Imint?

“Founded in 2007, Imint is a listed Swedish software company with world-leading expertise in real-time video stabilisation and enhancement based on motion sensor data analysis. Imint’s Vidhance suite of video enhancement solutions is the culmination of 15 years of R&D and has to date been integrated into more than 850 million camera devices, across consumer and industrial markets.”

What is Vidhance for Remote Assistance?

“Vidhance for Remote Assistance is a new suite of tools designed to transform the quality of video content captured by remote assistance devices used in the manufacturing industry. It consists of the Vidhance Premium Video Stabilization feature and Vidhance Click & Lock feature.

“The Vidhance Premium Video Stabilization feature efficiently eliminates shakiness by keeping the frame stable and the horizon level for video captured on handheld, head-mounted or body-worn cameras, while also correcting for lens distortions.

“In addition to stabilising and levelling the video stream, the Vidhance for Remote Assistance solution also provides remote viewers direct control over the video’s focus point through the all-new Vidhance Click & Lock feature. With a simple click, remote viewers can select an object on the live feed to lock onto it as the camera’s focus point, using automatic tracking and zooming to centre the object regardless of how it or the camera wearer moves.

“Vidhance for Remote Assistance is offered through a subscription model where solution providers that integrate the software suite can provide a free trial period for users, then offer a monthly or annual subscription for full-time adoption.”

How has COVID-19 impacted the manufacturing sector?

“Clearly, the pandemic fueled a major increase in the use of remote assistance technology, simply because it became a necessity in order to maintain operations when travelling was not possible. The ability to support manufacturing plants remotely significantly reduced the impact of COVID-19 in those environments. Had the pandemic come 10 years earlier, when remote assistance technology was not readily available, the situation could have been very different.

“The onset of the pandemic sped up the adoption and development of remote assistance solutions, but the trend has flattened out since. In order to continue the growth of remote assistance adoption, we must address one of its biggest challenges, which is to make it easier and more natural to use. This is a challenge we are certain the Vidhance for Remote Assistance suite will help solve.”

Why have remote assistance devices struggled to gain widespread adoption in manufacturing?

“Remote assistance is still in the early phase of its evolution within the complex manufacturing ecosystem. To successfully deploy a remote assistance solution,  manufacturers need a camera device, a video communication platform and video monitoring software, often provided by different suppliers. All three have an impact on the video quality, and the inherent challenge of maintaining stable video feeds from cameras constantly in motion is rarely addressed. In fast-paced manufacturing scenarios, particularly ones involving equipment troubleshooting and complex repairs, on-site workers are constantly making head movements unconsciously.

“This isn’t a problem for on-site workers – as their eyes can quickly adjust to see exactly what they want to see. That said, the video quality for remote manufacturing experts viewing the feeds has, to date, been far from a real life experience. Feeds from body-worn cameras can appear shaky or dark to remote viewers, greatly reducing their effectiveness and even causing viewers to experience motion sickness.

“Some organisations and remote assistance solutions have attempted to integrate stabilised hand-held smartphone or tablet cameras as the primary video input device, but they have a major inherent flaw – they require the on-site user to hold the device the entire time, leaving them with only one free hand.

“While video stabilisation is a common feature in smartphones, it can’t safely be mounted for hands-free use in challenging environments, and it’s typically limited to the device maker’s camera app, making it unavailable for third-party apps used to stream live video for remote assistance like Teams and Zoom.

“Head-worn cameras and smart glass device manufacturers are now beginning to implement video stabilisation that is always active – even in live video scenarios. The tuning differs from that of smartphones, as the primary goal is not artistic video creation, but rather ensuring a clear and steady video stream for remote experts.”

How can imminent technology breakthroughs change that?

“Breakthroughs like Vidhance for Remote Assistance eliminate shaky video in real time, thus offering the remote viewer improved working conditions and better chances to provide accurate support.

“The software achieves this feat by leveraging data from the camera’s motion sensors to calculate the optimal stabilisation frame-by-frame – a robust and efficient method that has been battle-proven in millions of smartphones powered by Imint to date.

“In addition, the Vidhance Click & Lock feature gives the remote viewer control of the video and the ability to zoom, focus and lock the video on an object of interest with a simple click.”

Does the future of manufacturing rely on remote assistance?

“As manufacturing continues to evolve, remote assistance will serve as an invaluable link connecting on-site workers with off-site experts as it enables instant communication in demanding and high-stress manufacturing environments. We believe that remote assistance devices are indispensable for real-time collaboration among field workers and experts in the manufacturing industry and anticipate that deployment of these technologies will be widespread in the coming years.”

Why is now the time for manufacturers to invest in these devices?

“As we witness the growing adoption of remote assistance devices in manufacturing and other industries, fostering a collaborative ecosystem becomes increasingly important. By providing access to advanced technologies and embracing flexible subscription models, manufacturers and developers can ensure that these devices stay current and remain equipped with the latest features, driving further improvements in manufacturing efficiency and safety.”

Fujitsu: Leading digital transformation in fintech

Fujitsu’s Krista Griggs details how the IT tech giant is driving digital innovation in the banking, financial services and insurance sectors Krista Griggs is the Head of Banking, Financial Services and Insurance Sector for Fujitsu UK. As her title implies, Griggs’ role comes with big responsibilities; she is charged with leading revenue, profit and the…

Fujitsu’s Krista Griggs details how the IT tech giant is driving digital innovation in the banking, financial services and insurance sectors

Krista Griggs is the Head of Banking, Financial Services and Insurance Sector for Fujitsu UK. As her title implies, Griggs’ role comes with big responsibilities; she is charged with leading revenue, profit and the growth of the sector.

Managing executive customer relationships, Griggs sets the vision and strategy for her department,  leading a team of industry specialists and account executives and orchestrating from the wider organisation to bring the best of Fujitsu to its customers.

An influential leader in the makeup of Fujitsu’s UK division, it’s no wonder Griggs made FinTech Magazine’s Top 100 Women of 2022.

“Phenomenally proud and honoured to be featured”, Griggs takes inspiration from the women represented working to disrupt “what is still a male-dominated industry”.

As a pioneering woman in the predominantly male fintech industry, how did Krista carve out her own path to leadership?

Automation & cybersecurity strategy in manufacturing

ay Stauffer, Vice President of IT at LPW Group & former Director of IT at Brock Group, on cybersecurity in manufacturing & the benefits of ManageEngine Jay Stauffer heads up the IT department across LPW Group and its subsidiaries. From 1999 to 2018, he worked at Brock Group, first as a Senior Network Engineer and later as the Director…

ay Stauffer, Vice President of IT at LPW Group & former Director of IT at Brock Group, on cybersecurity in manufacturing & the benefits of ManageEngine

Jay Stauffer heads up the IT department across LPW Group and its subsidiaries. From 1999 to 2018, he worked at Brock Group, first as a Senior Network Engineer and later as the Director of Information Technology. LPW Group is the leading manufacturer of valves, fittings, flanges and related flow control products.

“We work closely with public and private organisations to ensure they have the custom parts they need when they need them,” said Stauffer. “As far as industries go, our customers run the gamut from petrochemical to oil and gas to defence.”

Here, Stauffer discusses cybersecurity issues in the manufacturing sector, labour shortages and automation’s role in security.

 

Cybersecurity challenges facing manufacturers

LPW Group faces the same struggles as any other manufacturing company, such as phishing emails.

“These are probably the most common threat and the hardest to block,” Stauffer says. “Human error also plays into this. For example, many users may use shared logins for machines and control systems on the warehouse floor. For this reason, it’s not uncommon to see passwords written in shared public spaces on whiteboards or pinned to the machines themselves, which is a security nightmare.”

However, prior to Stauffer coming onboard at LPW Group, there were several recent acquisitions. This has made it challenging to consolidate technology, processes and systems into one overarching IT department with a unified cybersecurity strategy.

“Since each organisation had its own third-party IT, we inherited disjointed systems when it came to security. Anyone who knows cybersecurity will know that disorganisation is a cybercriminal’s best friend, making this a challenge we needed to address ASAP.”

For this reason, LPW Group has operated with all hands on deck to consolidate the IT infrastructure and support.

“This past year, we’ve focused on standardising processes and organising under one common domain, network platform, phone system, productivity software, cybersecurity framework and more. A lot of little things add up to create a very intricate network to try to keep secure. However, this consolidation will not only help my team stay ahead of cybersecurity trends and threats, it will also boost our productivity and set a foundation for scaling the company.”

 

Dealing with labour shortages and the role of automation in manufacturing

Right now, Stauffer’s team is fairly small, with five internal staff members and two external organisations. But he is looking to expand the team in the new year as the company continues to grow.

“It also helps that we can lean on IT management partners like ManageEngine to optimise my small-but-mighty team,” he said. “ManageEngine automates some of the more administrative tasks so my team can continue to facilitate growth at LPW Group. We are pulled in many different directions as the role of IT continues to evolve. It’s really nice to have a trusted partnership with ManageEngine, which offers us a suite of solutions that can help automate my team’s day-to-day. For example, ManageEngine can monitor our digital environment and alert us when there are problems. This frees us up to continue with larger projects like consolidating our IT infrastructure.”

Stauffer sees automation playing a bigger role in the security landscape across manufacturing.

“Because we work with the US Department of Defense, we must not only stay on top of compliance, but go above and beyond. This means managing endpoints can be a very time-consuming task. Again, automation helps by allowing us to give time to other strategic initiatives.

“Automation has helped secure the manufacturing floor as well. It has reduced manual labour required for compliance reporting, which has helped us manage through the current labour squeeze in manufacturing. It has also given us the ability to automate the incident request and ticket creation process in the event of a phishing email or similar threat.”

Stauffer’s advice for other manufacturing companies looking to strengthen their cybersecurity strategy is to make sure that they are consolidating across their organisation.

“Even though cyberthreats are continuously evolving and criminals are always coming up with new ways to target manufacturing organisations, security is much easier to manage when you’re organised. I would also advise others to find a trusted partner in cybersecurity to help save you time and money in the long run.”

Top 10 Manufacturing AI Platforms

In this Top 10, we take a look at what the leading AI platforms offer their users, listing based on their company value Both a powerful source of positive disruption and a tool to gain a competitive edge, artificial intelligence (AI) is gradually being implemented into most aspects of everyday life. And as the digital…

In this Top 10, we take a look at what the leading AI platforms offer their users, listing based on their company value

Both a powerful source of positive disruption and a tool to gain a competitive edge, artificial intelligence (AI) is gradually being implemented into most aspects of everyday life. And as the digital world continues to rapidly transform and accelerate in the wake of COVID-19, manufacturers will need to recognise the importance of AI within their business.

  • Wipro

“Make AI your Ally.” Wipro Holmes helps organisations to transform their operations with augmented intelligence.

Wipro Holmes offers AI-powered customisable solutions and trusted augmented intelligence to reimagine processes, accelerate growth, and be at the forefront of transformation.

Wipro Holmes allows users to build and deploy in fast, scalable and trustable environments to make smarter and human-centric decisions.

Top Three Features: data-led, responsible, and synchronous with businesses

Revenue: US$8.3bn

Founded: 1945

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  • Google Cloud

Google Cloud Vertex AI offers organisations the opportunity to build, deploy and scale machine learning (ML) models faster, with pre-trained and custom tooling in one unified platform.

Key features of Vertex AI include: a unified UI for the entire ML workflow, pre-trained APIs, end-to-end integration for data and AI, support for open-source frameworks, the ability to understand and build trust in your model predictions and many more.

Top Three Features: train without code, build advanced ML models with custom tooling, manage models with confidence

Revenue: US$13.0bn

Founded: 1998

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  • Infosys

Offering end-to-end enterprise-grade AI to simplify the adoption journey for businesses and IT, Infosys Nia addresses a variety of operations, from data management and the digitisation of documents and images to model development and operationalising models.

With 86% of enterprises not being able to move from AI experimentation to production, 68% struggling to derive insights from documents, and 40% finding it difficult to manage siloed data assets, Infosys Nia can mitigate these challenges to assure a faster time-to-value for AI implementation.

Top Three Features: end-to-end enterprise AI, faster time-to-value, and simplification

Revenue: US$13.8bn

Founded: 1981

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  • Salesforce

“Hello, productivity.” Salesforce Einstein helps organisations to automate anything and integrate everything.

Einstein offers AI-infused bots and workflows, with multi-user processes, as well as integrated data for a seamless experience, automated integrations to boost productivity, smart automations that are digital-first and industry-specific, and pre-built, ready-to-install partner solutions – including templates, robotic process automations (RPAs) and building blocks for flow automation – to avoid starting with a blank slate.

Top Three Features: productivity, click-based configuration (no-code), and a seamless experience

Revenue: US$17.1bn

Founded: 1999

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  • HPE

Unlock the value of data with HPE’s flexible AI solutions. HPE AI provides organisations with universally accessible data and an IT infrastructure that is flexible and unbound. HPE AI is data-driven, production-orientated, and cloud-enabled so that it is available anytime, anywhere, and at scale.

Oracle breaks down its capabilities into three key areas:

  • Operationalise, optimise and orchestrate AI
  • Speed design and deployment of an AI strategy
  • Manage costs, risks and returns

Top Three Features: scalability, cost control, and flexible

Revenue: US$27.0bn

Founded: 2015

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  • Oracle

Oracle AI, build an intelligent enterprise. Using pre-built AI, data-driven cloud applications, and a comprehensive portfolio of infrastructure and cloud platform services, Oracle helps organisations to automate operations, innovate and make smart and secure decisions.

Oracle has five products within its portfolio: Oracle AI Apps, Oracle Data Science Platform, embedded machine learning in Oracle Cloud, Oracle Digital Assistant, and Oracle DataFox.

Top Three Features: comprehensive, software as a service (SaaS), choice of data management platforms

Revenue: US$39.07bn

Founded: 1971

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  • Microsoft

Bringing AI to every developer, Microsoft Azure AI helps businesses to innovate and accelerate with the help of powerful tools and services.

Microsoft offers users a portfolio of AI services such as computer vision to extract rich information from images to process and categories visual data, language understanding to interpret human language and understand the intent, and text analytics API to recognise emotions in speech.

Top Three Features: high quality, flexibility rich information and decision making

Revenue: US$41.7bn

Founded: 1975

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  • IBM

IBM Watson, ‘AI for smarter business’. IBM platform offers a portfolio of business-ready tools, applications, and solutions to allow users to reduce costs and hurdles of AI adoption while optimising outcomes and responsible AI.

IBM Watson breaks its features down into four categories:

  • Trust – transparent processes with AI Led insights, data privacy and compliance, with an open and diverse ecosystem.
  • Language – understanding a business’s language with natural language processing, analysing complex unstructured data, computer code, and industry-specific jargon.
  • Automation – streamline how a business operates and yields leaps in productivity. Intelligently automate almost any work.
  • Anywhere – working securely on the cloud bringing AI to data wherever it is.

Top Three Features: transparency, optimisation, and cost reduction

Revenue: US$73.6bn

Founded: 1998

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  • Intel

With a historic legacy of democratising technology, Intel is making technology simple, faster, and cost-effective. Intel strives to allow everyone to infuse AI into their applications with its broad choice of smart solutions and tools. Intel uses scalable and open oneAPI standards to unlock limitless insight for its users from edge to cloud.

Intel’s AI services are broken down into solutions, software and hardware, to help organisations not only get started with AI Builder but to build faster and smarter with Intel Optimised AI Software and to accelerate flexible AI with Intel AI Hardware.

“Seamlessly build and deploy AI applications at scale. It all starts on a foundation of Intel® Xeon® Scalable processors, accelerated with Intel-optimized AI software” – Intel

Top Three Features: scalable, fast, and cost-effective

Revenue: US$77.8bn

Founded: 1968

  • Amazon

Easily integrated, Amazon’s pre-trained AWS AI Services provides users with ready-made intelligence for applications and workflows.

Amazon’s AI services require no machine learning to operate. Instead, Amazon uses its deep learning technology that powers Amazon.com to address common use cases such as personalised recommendations, modernised contact centres, improved safety and security, and increased customer engagement.

In total, Amazon offers 19 AI services and 12 solutions, including demand forecasting, chatbots, advanced text analytics, fraud prevention, and personalised recommendations.

“GE Appliances processes millions of minutes of customer calls a month. Using Amazon Connect, Amazon Lex, and Amazon Polly, we can automate simple tasks such as looking up product information, taking down customer details, and answering common questions before an agent answers” – Byron Guernsey – Chief Strategist, GE Appliances

Top Three Features: quality, accuracy, and continuously learning API

Revenue: US$386.1bn

Founded: 1994

Smart factory transformations in manufacturing

Throughout 2023, smart manufacturing technologies, such as digital twins, 3D modelling, and IoT, were used to strengthen the metaverse. In 2024, Deloitte anticipates that these technologies will be used to ‘scale manufacturing improvements across disparate processes and people’, as well as in their decarbonisation journeys. While the sector hopes that 2024 will be a much…

Throughout 2023, smart manufacturing technologies, such as digital twins, 3D modelling, and IoT, were used to strengthen the metaverse.

In 2024, Deloitte anticipates that these technologies will be used to ‘scale manufacturing improvements across disparate processes and people’, as well as in their decarbonisation journeys.

While the sector hopes that 2024 will be a much easier year than the last few, gritty realism leaves the industry planning for the worst. Continued supply chain unpredictability, geopolitical uncertainty and rising costs will mean that smart factory technologies such as AI, 5G, IoT, data analytics and cloud computing will be utilised to help provide real-time insights and end-to-end visibility.

Smart factory transformations in 2024 across manufacturing

Tim Gaus, Principal at Deloitte Consulting LLP, feels that Deloitte’s 2024 Manufacturing Outlook puts smart factory transformations at the centre of what will define the industry over the next year.

“Manufacturing leaders continue making strides in their smart manufacturing transformations. In 2024, we foresee the boom of generative AI, the scaling of smart manufacturing technologies that were experimented with over the past few years – the metaverse, machine learning, vision analytics and others. They will have a core focus on creating a data model that enables scalability as the biggest trends towards making manufacturing processes more efficient and integrated. Through these technology and process enhancements, manufacturers can anticipate a new scale of innovation in 2024, as the industry moves from being simply resilient to being truly agile.”

Digital twins in smart manufacturing

Digital twins have gained attention in manufacturing since advancements in computing, modelling & IoT have made digital twin technology accessible The term “digital twin” has gained significant attention among manufacturers and industrial companies in recent years, but its meaning can vary. Organisations from Ford to Airbus have adopted digital twins to strengthen their operations and…

Digital twins have gained attention in manufacturing since advancements in computing, modelling & IoT have made digital twin technology accessible

The term “digital twin” has gained significant attention among manufacturers and industrial companies in recent years, but its meaning can vary.

Organisations from Ford to Airbus have adopted digital twins to strengthen their operations and business value for customers. Michael Grieves of the Digital Twin Institute and NASA’s John Vickers are credited with popularising the core ideas and coining the term “digital twin” in 2010. This technology encompasses more than just virtual models and has become feasible due to advancements in computing, modelling techniques, and IoT connectivity since 2020.

How Digital Twins are making manufacturing smarter

Digital twins are used in smart manufacturing to provide real-time monitoring, optimisation, and simulation of manufacturing processes, for example:

Process monitoring

Digital twins create virtual representations of manufacturing equipment and processes, allowing real-time monitoring of their performance, which can help to identify any problems.

Predictive maintenance

The same method allows manufacturers to predict maintenance needs and prevent unplanned downtime.

Supply Chain optimisation

What kind of manufacturer, in 2023, would not want to utilise all supply chain visibility gear available?

Digital twins can be applied across a manufacturer’s whole supply chain, to track products and materials. This offers better coordination and improved logistics.

Digital twins in the Metaverse

The metaverse, a virtual collective space where individuals can interact with each other and digital objects in a shared virtual reality environment (for example, through the use of AR technology).

The metaverse is a place for virtual interaction, while a digital twin is a virtual representation of a physical thing. They both involve virtual representations, but serve different purposes – usually.

Digital twins can play a role in the metaverse by providing virtual representations of physical objects or systems within the virtual environment:

Virtual product representation

Digital twins can serve as virtual replicas of physical products, allowing users in the metaverse to explore and interact with them in a realistic manner, which enables customisation.

Simulation

Digital twins within the metaverse can be used for training purposes. In industries like manufacturing or aviation, users can engage with digital twins to practise maintenance procedures and emergency response protocols.

Analytics

Digital twins integrated into the metaverse can offer real-time data on the performance of physical objects, which can be used for making informed decisions within the virtual environment.

Closing the AI skills gap in manufacturing

Mat Piaggi, Behavioural Scientist at CoachHub, discusses the AI skills gap in the manufacturing sector & how the AI boom has impacted HR teams Mat Piaggi is a Behavioural Scientist at CoachHub. His role involves helping individuals and organisations achieve their learning and development goals by leveraging the power of coaching. “I came into my role following…

Mat Piaggi, Behavioural Scientist at CoachHub, discusses the AI skills gap in the manufacturing sector & how the AI boom has impacted HR teams

Mat Piaggi is a Behavioural Scientist at CoachHub. His role involves helping individuals and organisations achieve their learning and development goals by leveraging the power of coaching.

“I came into my role following a Master’s degree in Psychology from the University of Glasgow, where I developed expertise in understanding human behaviour and behavioural change,” he says.

CoachHub is a leading global provider of digital coaching. Through its AI-powered digital coaching platform, the company enables behavioural change and helps people and organisations to reach their goals.

“We have a pool of more than 3,500 certified coaches, who offer coaching sessions in more than 60 languages to more than 1,000 clients. Through digital coaching, we are able to democratise coaching for all career levels worldwide, offering a personalised experience to everyone regardless of their industry or role.”

Here, Piaggi discusses the AI skills gap in manufacturing and explores the AI boom.

 

How can manufacturing companies narrow the AI skills gap, through a focus on learning and development?

“The growing skills gap is an ongoing concern for many sectors and the manufacturing industry is no exception. In fact, lack of expertise was recently cited as one of the biggest barriers to product innovation faced by manufacturers. One of the causes of this challenge is that transformation in the manufacturing industry has been ongoing for some time, beginning with disruption during the COVID-19 pandemic. The industry had the crucial responsibility of ensuring that valuable goods were produced during that time – from life-saving medical supplies, to lockdown-fuelled purchases as many explored new hobbies in the confines of their homes. In order to keep the industry moving forward at the required pace, organisations had to make use of new technologies such as IoT (Internet of things), automation and AI to meet new demand. This has only accelerated with the rapid evolution of generative AI in the past year.

“Rapid growth mandates that employees are adequately trained in key technical job skills. As such, employers have to focus on providing the necessary learning and development opportunities to existing employees, particularly since there is high demand in the market.

“The first step would be implementing personalised training programmes tailored to each employee – this ensures that the organisation as a whole has the tools in place to navigate change successfully, no matter the impending challenges that come their way.”

 

How has the AI boom impacted HR teams in the manufacturing industry?

“In addition to the ongoing skills shortage, business leaders are experiencing a range of new pressures that impact their HR priorities. CoachHub research revealed that 37% of employees in manufacturing firms are seeking a career change or new job opportunities – demonstrating a strong culture shift that employers cannot ignore, or risk losing talented individuals.

“The AI boom has also impacted workplace culture and completely transformed practices that were once standard – such as training on organisation-wide policies. Policies that regulate the use of the internet and social media are commonplace in organisations, so introducing a generative AI policy is a logical next step. This would ensure consistency, remove doubts, and keep everyone on the same page. Like any workplace change, especially with technology, everything begins with effective internal communication.

“Establishing a bridge between leaders and employees, where open discussions can take place, benefits not only the organisation but also prevents the fear of judgement that could harm employee wellbeing and productivity.”

 

How can leaders design personalised LD programmes to alleviate the skills gap?

“In the manufacturing industry, 62% of employers are training existing staff to enhance skills and productivity and 97% believe a shortage of engineering talent is coming.  A greater focus on learning and development must be instilled in the sector to ensure employee retention and satisfaction moving forward, particularly in light of the impending challenges employers are facing.

“Many businesses remain stuck in a cycle of offering blanket, standardised e-learning programmes that they have offered for years to their employees. This trend could result in businesses investing in people development programmes that aren’t meeting their needs.

“A personalised learning and development strategy is crucial, particularly as new technologies are being introduced across the sector. Everyone has individual strengths and weaknesses, which when combined with rapidly changing job requirements, means that employees require targeted learning experiences for their unique needs. A one-size-fits all approach to learning and development doesn’t respond to the requirements of today’s businesses and also isn’t enjoyable or stimulating for employees. This is where coaching comes in as a viable option to help employees work toward their own unique career goals and develop skills that will keep them engaged in their job roles.”

 

Tell us about the importance of upskilling workers from different generations, with different backgrounds and skill sets.

“If the generative AI boom proves anything, it is that technology is continuing to develop rapidly and both businesses and workers need to keep up with this constantly evolving cycle.

“When it comes to generative AI, employees will all be at a different place when it comes to how aware they are of the technology and the ways in which it can make their jobs easier and more efficient. When communicating updates and training opportunities to workers, employers must keep in mind the different generations and backgrounds of their workforce – this will be crucial for making sure that the entire organisation is on the same page and able to take advantage of the technology in a way that is beneficial to the business.

“Digital professional development programmes are an effective tool to upskill and empower employees from different generations by giving them the opportunity to continually upgrade their skills in line with new trends and job roles. This not only improves the talent pool in the organisation but enhances employees’ experience of the workplace by ensuring they are constantly growing and developing. Digital coaching tools use AI to help employees choose and match them to the right coach based on their personality.

“Coaches start the process by planning their sessions and defining the goals they hope to achieve over time. After evaluating the employees strengths and areas for improvement, the coach can help the coaches develop a strategy for learning and growth.”

 

Tell us about your work with AI.

“At CoachHub, we recently released AIMY – the first conversational AI career coach. This is a non-commercial pilot project designed to identify the potential of AI technology, explore its boundaries and understand the implications for the coaching industry. We’re using that research to determine what future coaching models could look like.

“However, we believe that coaching is and will remain human as it requires years of professional training and empathy, to be a successful coach – but AI could certainly augment the experience.

“CoachHub already uses AI in a variety of areas – primarily in pairing coaches with coaches, matching relevant training materials to learners and predictive usage modelling to help with the continuous learning process.”

 

What are the latest technologies the manufacturing industry should be aware of?

“Workforce and financial woes that arose during the pandemic still remain, as new challenges have cropped up from the economic downturn that prevented them from being resolved.

“Access to new technologies are helping drive the manufacturing industry forward, and although there are barriers to AI adoption – it will be a key part of solving challenges that are still present in the sector. Automation can help solve some of the workforce issues, by allowing workers to spend less time focused on manual processes and more time on innovation.

“Learning and development programmes that are powered by AI, such as digital coaching, will be a key tool for organisations as they move forward – enabling each employee to reach their full potential and ensuring the organisation as a whole is successful.”

 

What do the next 12 months hold for you?

“In the upcoming year, we have some exciting plans ahead. Our focus will be to continue driving innovation within the coaching industry, with an emphasis on enhancing the overall experience for coaches, coaches and clients alike. We’re investing significant resources to expand our research efforts, especially in the field of AI. Watch this space!.