In this edition of our series, we look at the new digital economics of manufacturing, as well as the ways in which new digital skills and technologies will enable manufacturers to innovate new work and work processes.
The document discusses how manufacturers must embrace digital transformation to succeed in the new digital age. It outlines four critical areas of focus: 1) acquiring analytics expertise to leverage machine data and insights, 2) thinking differently about products and solutions, 3) adopting agile development processes, and 4) building a new digital platform alongside legacy IT systems. Unless manufacturers step out of their comfort zones and learn new digital habits, acquiring new skills and implementing organizational-wide transformation, they will struggle to thrive in the digital manufacturing era.
The Digital Lab for Manufacturing: How Digital Design & Digital Manufacturing...Decision Lens
innovation.decisionlens.com
What if design talked to manufacturing BEFORE production What if information flowed across the full product life cycle? Or throughout the entire supply chain?
DMDII’s Digital Lab for Manufacturing brings together the best minds in academia, high tech and government to accomplish exactly that.
Learn how digital innovation is integrating design, development, and manufacturing to cut time to production and spur long-term job creation.
Digital Manufacturing and The Next Industrial RevolutionRising Media, Inc.
The document discusses how digital manufacturing is driving the third industrial revolution. Key points include:
- New 3D printers are lowering costs and enabling same-day production of custom plastic and metal parts. This will allow consumers to get what they want.
- 3D scanning technologies can engage more people in the creation process by making it easy to scan objects using smartphones. Over a billion people may have scanning capabilities.
- Customization engines allow anyone to customize existing 3D printed product designs in real-time, fueling a transition from e-commerce to "creative commerce".
- The future may include 4D printing that allows objects to self-assemble and "digital materials" with properties beyond traditional materials. This revolution will
The document discusses how manufacturers are undergoing digital transformation through connecting their operations via technologies like IoT, cloud, and data analytics. This enables integrated digital ecosystems that connect plants, processes, products, people, and customers. Companies like HPE are helping manufacturers create these connected environments in order to improve processes, reduce costs, boost customer satisfaction, and adapt quickly to market changes. By harnessing data and digitization, manufacturers can deliver improved customer service and gain a competitive advantage.
The document discusses connected manufacturing and how integrating operational technology, information technology, communications technology, and consumer technology can power efficiencies, innovation, and growth for manufacturers. Connected manufacturing describes connecting plants, processes, products, and people across the entire ecosystem. This allows for better insight, streamlined operations, simplified supply chains, and bringing innovative products to market faster. Hewlett Packard Enterprise helps manufacturers transform to connected manufacturing through solutions that connect functions end-to-end and are powered by hybrid infrastructure, security, data, and workplace productivity.
Creating the Intelligence Driven Digital Enterprise Accenture
“Artificial Intelligence, Automation and Cognitive Enterprise are no Longer a Tech Dreamer’s Imagination” Keynote Presentation on the impact of AI and Robotics on businesses and society
The Future of Manufacturing and How CPQ Guides Manufacturers to SuccessMark Keenan
The document discusses how CPQ solutions are integral to the future of smart manufacturing. It describes how technological advancements like the Internet of Things, robotics, and artificial intelligence are powering the new industrial revolution. CPQ solutions allow manufacturers to efficiently handle complex product configurations, leverage AI to offer optimal solutions for customers, and automate documentation. The document argues that CPQ solutions help manufacturers address trends toward customized, complex products and guide them toward success by reducing errors, shortening sales cycles, and optimizing configurations through artificial intelligence capabilities.
Top 5 digital transformation trends in manufacturing https://www.forbes.com/sites/danielnewman/2017/08/08/top-5-digital-transformation-trends-in-manufacturing/
The document discusses how manufacturers must embrace digital transformation to succeed in the new digital age. It outlines four critical areas of focus: 1) acquiring analytics expertise to leverage machine data and insights, 2) thinking differently about products and solutions, 3) adopting agile development processes, and 4) building a new digital platform alongside legacy IT systems. Unless manufacturers step out of their comfort zones and learn new digital habits, acquiring new skills and implementing organizational-wide transformation, they will struggle to thrive in the digital manufacturing era.
The Digital Lab for Manufacturing: How Digital Design & Digital Manufacturing...Decision Lens
innovation.decisionlens.com
What if design talked to manufacturing BEFORE production What if information flowed across the full product life cycle? Or throughout the entire supply chain?
DMDII’s Digital Lab for Manufacturing brings together the best minds in academia, high tech and government to accomplish exactly that.
Learn how digital innovation is integrating design, development, and manufacturing to cut time to production and spur long-term job creation.
Digital Manufacturing and The Next Industrial RevolutionRising Media, Inc.
The document discusses how digital manufacturing is driving the third industrial revolution. Key points include:
- New 3D printers are lowering costs and enabling same-day production of custom plastic and metal parts. This will allow consumers to get what they want.
- 3D scanning technologies can engage more people in the creation process by making it easy to scan objects using smartphones. Over a billion people may have scanning capabilities.
- Customization engines allow anyone to customize existing 3D printed product designs in real-time, fueling a transition from e-commerce to "creative commerce".
- The future may include 4D printing that allows objects to self-assemble and "digital materials" with properties beyond traditional materials. This revolution will
The document discusses how manufacturers are undergoing digital transformation through connecting their operations via technologies like IoT, cloud, and data analytics. This enables integrated digital ecosystems that connect plants, processes, products, people, and customers. Companies like HPE are helping manufacturers create these connected environments in order to improve processes, reduce costs, boost customer satisfaction, and adapt quickly to market changes. By harnessing data and digitization, manufacturers can deliver improved customer service and gain a competitive advantage.
The document discusses connected manufacturing and how integrating operational technology, information technology, communications technology, and consumer technology can power efficiencies, innovation, and growth for manufacturers. Connected manufacturing describes connecting plants, processes, products, and people across the entire ecosystem. This allows for better insight, streamlined operations, simplified supply chains, and bringing innovative products to market faster. Hewlett Packard Enterprise helps manufacturers transform to connected manufacturing through solutions that connect functions end-to-end and are powered by hybrid infrastructure, security, data, and workplace productivity.
Creating the Intelligence Driven Digital Enterprise Accenture
“Artificial Intelligence, Automation and Cognitive Enterprise are no Longer a Tech Dreamer’s Imagination” Keynote Presentation on the impact of AI and Robotics on businesses and society
The Future of Manufacturing and How CPQ Guides Manufacturers to SuccessMark Keenan
The document discusses how CPQ solutions are integral to the future of smart manufacturing. It describes how technological advancements like the Internet of Things, robotics, and artificial intelligence are powering the new industrial revolution. CPQ solutions allow manufacturers to efficiently handle complex product configurations, leverage AI to offer optimal solutions for customers, and automate documentation. The document argues that CPQ solutions help manufacturers address trends toward customized, complex products and guide them toward success by reducing errors, shortening sales cycles, and optimizing configurations through artificial intelligence capabilities.
Top 5 digital transformation trends in manufacturing https://www.forbes.com/sites/danielnewman/2017/08/08/top-5-digital-transformation-trends-in-manufacturing/
Cognizant Community Europe 2017: Mastering Digital: Navigating the Shift to t...Cognizant
Executives gathered at Cognizant’s flagship European thought leadership conference heard how digital technologies in general and AI in particular are poised to generate significant economic growth.
The document discusses how big data and business analytics are affecting manufacturing industries. It describes how big data is transforming each step of the manufacturing value chain, including R&D, supply chain management, production, and after-sales services. Big data is allowing manufacturers to gain insights from customer data, improve demand forecasting, optimize inventory levels, develop products more efficiently based on data-driven design, and provide better after-sales support through predictive maintenance. The organizational impacts of big data are also profound, as data and analytics become core capabilities for manufacturing companies.
From the changing landscape of ICT infrastructure to tackling tricky supply chain issues, we explore every corner of the IT industry in issue 002 of the Probrand Group magazine: http://www.probrand.co.uk/imag/issue02/index.html
New business models using Artificial Intelligence BirgitObermeier
This document summarizes a report by the Working Group Business Model Innovations of Plattform Lernende Systeme on new business models using artificial intelligence. The report identifies and analyzes new business models based on AI and examines how self-learning systems change cost structures and create new revenue streams. It provides examples of how AI is transforming key areas like networking, products/services, work organization, and business models across company boundaries. The working group envisions that by 2030, AI will be widely used in Germany to improve existing business models and create new ones in a way that benefits both the economy and society.
The document discusses 5 technology trends for 2015:
1. The Internet of Me - Personalization and contextual experiences enabled by big data analytics and connected devices.
2. Outcome Economy - Hardware is producing tangible results through sensors, M2M standards, and ubiquitous bandwidth.
3. Platform (R)evolution - Digital platforms are redefining industries through the rise of platform companies, cloud economics, and APIs.
4. Intelligent Enterprise - Businesses are leveraging huge data volumes, decreasing storage costs, and advances in data science for smarter systems.
5. Workforce Reimagined - Humans and machines are collaborating through maturing technologies enabling natural interactions and improved efficiency.
Think Digital Transformation, Think Design Emi Kwon
The digital world thrives on inspiration and innovation, and creativity drives disruption, change and transformation. Digital Transformation without design, however, is like having a space shuttle that we don’t know how to use. This visual-storytelling explores the intersection between Digital Transformation and Design Thinking -- it will inform you about how to harness the power of Design Thinking to deliver your unique digital transformation by driving human-centric design.
The document discusses the need for a new IoT analytics platform to help organizations accelerate time-to-value from IoT projects and enable timely actions. It introduces the VIA IoT Analytics Platform from Vitria, which aims to address this need by providing a unified platform for fast data ingestion, open data lakes, advanced analytics across streaming, historical, predictive and prescriptive models, and tools to enable rapid application development and insights. The platform is designed to empower operations managers to improve processes and business outcomes through smarter, faster analytics and actions using IoT data.
Advanced Manufacturing – Solutions That Are Transforming the IndustryMRPeasy
Advanced manufacturing is on its way to transform the industry. And there are solutions in place already that could help even small manufacturers keep up in the rapidly changing business environments.
The next wave of #DigitalTransformation is here! Now’s the time to capitalize on these manufacturing trends and adopt tools that automate and improve your current processes.
If you are looking to digitize your manufacturing business, feel free to reach out to us! As a digital & data innovation partner, Rapidops, Inc. helps manufacturers unlock the opportunities to solve current problems and improve their supply chains.
The document discusses how new, better, and cheaper goods are reinventing product and service lifecycles through short-lived dominance. It provides examples of companies like TomTom, Garmin, Blockbuster, and Nintendo that saw revenues and sales peak and then sharply decline as newer competitors like Google Maps and Netflix disrupted their industries. The rapid changes show how entire industries can be wiped out by digital disruption and new business models.
Digital Transformation of the Connected Product EconomyEdgeIQ
Digital transformation is necessary for connected product companies to survive in today's world. A new technology stack is required that includes device lifecycle management, data orchestration, and service orchestration to manage the complex ecosystem of billions of connected devices, petabytes of daily data, applications, and customers. This new stack provides the foundation for companies to embrace digital transformation and retain market share by reducing costs, gaining new revenue streams, and changing business models.
Digital transformation refers to the process of using digital technologies to transform business models and provide enhanced customer experiences. It involves realigning technology and business models to engage customers at every touchpoint. The goal is to make businesses relevant in a digital era by growing opportunities and profits efficiently. Key elements driving digital transformation include the growth of mobile devices, cloud computing, big data, APIs, and the internet of things. Disruptors are leading digital transformations through personalized decision making, real-time insight-driven processes, and ecosystem-based innovation. Barriers include organizational silos, complex business processes, security and data integration challenges, and lack of flexibility. Digital transformation is important for health records to provide benefits like improved care coordination and access to
Digital Transformation for Manufacturing IndustriesMargot Heiligman
What are some of the trends that driving the manufacturing industries in this digital economy era? What do these mean for the manufacturing businesses and how can they run and sell smarter? Download this presentation deck and learn more. You can also watch the On-Demand Webinar here: http://tinyurl.com/bcrmAPJ216
The document discusses how large traditional companies are now racing to become digital businesses by leveraging emerging technologies. It provides examples of how Tesco, GE, and Disney are transforming digitally by offering new digital services and using technologies like sensors, analytics and mobile to enhance customer experiences. The document argues that over the next decade, traditional large companies will emerge as major digital players, disrupting their own and other industries. It highlights how boundaries are blurring between digital and physical assets as well as between companies and their stakeholders. Large companies are poised to become "master orchestrators", leveraging convergence of technologies at huge scale to rapidly innovate and advance their systems and strategies.
Digital transformation is evolving rapidly due to trends like SMAC (Social, Mobile, Analytics & Cloud) and IoT. Organizations need to offer digital products and services to stay relevant to customers with unprecedented expectations. This requires innovative IT development and deployment to support new applications and business models.
Innovation Project on Creativity, Technology and EntrepreneurshipPriyankaJagwani1
Nokia is proposing an innovative concept of a smart band that projects phone features like calling and messaging onto the user's palm using 3D projection. This would allow users flexibility to use phone features without carrying an actual phone. The key technologies required include 3D projection, solar charging, and an embedded SIM card. 3D projection and solar charging are emerging technologies with growing applications, while SIM cards are ubiquitous in many devices. The smart band could position Nokia as an innovator if it becomes the first to introduce this phone-less phone concept to the market.
The document discusses how digital transformation is impacting the building products industry globally. Major trends include growing urban populations and the middle class driving demand, as well as changing consumer behaviors and expectations around online research and purchasing. This is forcing companies to reimagine their business models, processes, and workforce. Opportunities include new revenue streams from home automation, smart products, and integrated solutions. Leading companies are transforming from pure manufacturers into technology-enabled providers of complete solutions. Digital platforms can help companies optimize operations and customer experience across physical and digital channels to compete in this new environment.
HRI_Xively Report_The Journey to IoT_21July_FinalJessica Groopman
1) Product manufacturers are actively embarking on connecting their products to the Internet, with 61% currently doing so and an additional 20% planning to within the next 1-2 years. This represents a major transformation in the industry.
2) Connected products are providing major benefits to manufacturers, including improved customer insights (reported by 95% of connected product companies) and business efficiencies like improved customer support and increased revenues.
3) However, the journey to connecting products poses diverse challenges at each stage, from designing connected systems to innovating and securely scaling deployments over time. Integrating connected product management tools with existing business systems helps address these challenges.
Cognizant Community Europe 2017: Mastering Digital: Navigating the Shift to t...Cognizant
Executives gathered at Cognizant’s flagship European thought leadership conference heard how digital technologies in general and AI in particular are poised to generate significant economic growth.
The document discusses how big data and business analytics are affecting manufacturing industries. It describes how big data is transforming each step of the manufacturing value chain, including R&D, supply chain management, production, and after-sales services. Big data is allowing manufacturers to gain insights from customer data, improve demand forecasting, optimize inventory levels, develop products more efficiently based on data-driven design, and provide better after-sales support through predictive maintenance. The organizational impacts of big data are also profound, as data and analytics become core capabilities for manufacturing companies.
From the changing landscape of ICT infrastructure to tackling tricky supply chain issues, we explore every corner of the IT industry in issue 002 of the Probrand Group magazine: http://www.probrand.co.uk/imag/issue02/index.html
New business models using Artificial Intelligence BirgitObermeier
This document summarizes a report by the Working Group Business Model Innovations of Plattform Lernende Systeme on new business models using artificial intelligence. The report identifies and analyzes new business models based on AI and examines how self-learning systems change cost structures and create new revenue streams. It provides examples of how AI is transforming key areas like networking, products/services, work organization, and business models across company boundaries. The working group envisions that by 2030, AI will be widely used in Germany to improve existing business models and create new ones in a way that benefits both the economy and society.
The document discusses 5 technology trends for 2015:
1. The Internet of Me - Personalization and contextual experiences enabled by big data analytics and connected devices.
2. Outcome Economy - Hardware is producing tangible results through sensors, M2M standards, and ubiquitous bandwidth.
3. Platform (R)evolution - Digital platforms are redefining industries through the rise of platform companies, cloud economics, and APIs.
4. Intelligent Enterprise - Businesses are leveraging huge data volumes, decreasing storage costs, and advances in data science for smarter systems.
5. Workforce Reimagined - Humans and machines are collaborating through maturing technologies enabling natural interactions and improved efficiency.
Think Digital Transformation, Think Design Emi Kwon
The digital world thrives on inspiration and innovation, and creativity drives disruption, change and transformation. Digital Transformation without design, however, is like having a space shuttle that we don’t know how to use. This visual-storytelling explores the intersection between Digital Transformation and Design Thinking -- it will inform you about how to harness the power of Design Thinking to deliver your unique digital transformation by driving human-centric design.
The document discusses the need for a new IoT analytics platform to help organizations accelerate time-to-value from IoT projects and enable timely actions. It introduces the VIA IoT Analytics Platform from Vitria, which aims to address this need by providing a unified platform for fast data ingestion, open data lakes, advanced analytics across streaming, historical, predictive and prescriptive models, and tools to enable rapid application development and insights. The platform is designed to empower operations managers to improve processes and business outcomes through smarter, faster analytics and actions using IoT data.
Advanced Manufacturing – Solutions That Are Transforming the IndustryMRPeasy
Advanced manufacturing is on its way to transform the industry. And there are solutions in place already that could help even small manufacturers keep up in the rapidly changing business environments.
The next wave of #DigitalTransformation is here! Now’s the time to capitalize on these manufacturing trends and adopt tools that automate and improve your current processes.
If you are looking to digitize your manufacturing business, feel free to reach out to us! As a digital & data innovation partner, Rapidops, Inc. helps manufacturers unlock the opportunities to solve current problems and improve their supply chains.
The document discusses how new, better, and cheaper goods are reinventing product and service lifecycles through short-lived dominance. It provides examples of companies like TomTom, Garmin, Blockbuster, and Nintendo that saw revenues and sales peak and then sharply decline as newer competitors like Google Maps and Netflix disrupted their industries. The rapid changes show how entire industries can be wiped out by digital disruption and new business models.
Digital Transformation of the Connected Product EconomyEdgeIQ
Digital transformation is necessary for connected product companies to survive in today's world. A new technology stack is required that includes device lifecycle management, data orchestration, and service orchestration to manage the complex ecosystem of billions of connected devices, petabytes of daily data, applications, and customers. This new stack provides the foundation for companies to embrace digital transformation and retain market share by reducing costs, gaining new revenue streams, and changing business models.
Digital transformation refers to the process of using digital technologies to transform business models and provide enhanced customer experiences. It involves realigning technology and business models to engage customers at every touchpoint. The goal is to make businesses relevant in a digital era by growing opportunities and profits efficiently. Key elements driving digital transformation include the growth of mobile devices, cloud computing, big data, APIs, and the internet of things. Disruptors are leading digital transformations through personalized decision making, real-time insight-driven processes, and ecosystem-based innovation. Barriers include organizational silos, complex business processes, security and data integration challenges, and lack of flexibility. Digital transformation is important for health records to provide benefits like improved care coordination and access to
Digital Transformation for Manufacturing IndustriesMargot Heiligman
What are some of the trends that driving the manufacturing industries in this digital economy era? What do these mean for the manufacturing businesses and how can they run and sell smarter? Download this presentation deck and learn more. You can also watch the On-Demand Webinar here: http://tinyurl.com/bcrmAPJ216
The document discusses how large traditional companies are now racing to become digital businesses by leveraging emerging technologies. It provides examples of how Tesco, GE, and Disney are transforming digitally by offering new digital services and using technologies like sensors, analytics and mobile to enhance customer experiences. The document argues that over the next decade, traditional large companies will emerge as major digital players, disrupting their own and other industries. It highlights how boundaries are blurring between digital and physical assets as well as between companies and their stakeholders. Large companies are poised to become "master orchestrators", leveraging convergence of technologies at huge scale to rapidly innovate and advance their systems and strategies.
Digital transformation is evolving rapidly due to trends like SMAC (Social, Mobile, Analytics & Cloud) and IoT. Organizations need to offer digital products and services to stay relevant to customers with unprecedented expectations. This requires innovative IT development and deployment to support new applications and business models.
Innovation Project on Creativity, Technology and EntrepreneurshipPriyankaJagwani1
Nokia is proposing an innovative concept of a smart band that projects phone features like calling and messaging onto the user's palm using 3D projection. This would allow users flexibility to use phone features without carrying an actual phone. The key technologies required include 3D projection, solar charging, and an embedded SIM card. 3D projection and solar charging are emerging technologies with growing applications, while SIM cards are ubiquitous in many devices. The smart band could position Nokia as an innovator if it becomes the first to introduce this phone-less phone concept to the market.
The document discusses how digital transformation is impacting the building products industry globally. Major trends include growing urban populations and the middle class driving demand, as well as changing consumer behaviors and expectations around online research and purchasing. This is forcing companies to reimagine their business models, processes, and workforce. Opportunities include new revenue streams from home automation, smart products, and integrated solutions. Leading companies are transforming from pure manufacturers into technology-enabled providers of complete solutions. Digital platforms can help companies optimize operations and customer experience across physical and digital channels to compete in this new environment.
HRI_Xively Report_The Journey to IoT_21July_FinalJessica Groopman
1) Product manufacturers are actively embarking on connecting their products to the Internet, with 61% currently doing so and an additional 20% planning to within the next 1-2 years. This represents a major transformation in the industry.
2) Connected products are providing major benefits to manufacturers, including improved customer insights (reported by 95% of connected product companies) and business efficiencies like improved customer support and increased revenues.
3) However, the journey to connecting products poses diverse challenges at each stage, from designing connected systems to innovating and securely scaling deployments over time. Integrating connected product management tools with existing business systems helps address these challenges.
Digital transformation in the manufacturing industryBenji Harrison
The document discusses how digital transformation through technologies like Industry 4.0, IoT, big data, VR/AR, and artificial intelligence can benefit manufacturers. Industry 4.0 uses advanced technologies like smart sensors to increase visibility, minimize costs, and speed up production. IoT networks connect intelligent devices to gather and analyze data for cost control, efficiency, and innovation. Big data and advanced analytics provide insights from historical data to optimize processes. VR/AR technologies improve product design and help workers perform tasks faster and more accurately. Artificial intelligence and analytics help integrate systems for greater speed and scale.
Are manufacturing companies ready to go digital capgemini consulting - digi...Rick Bouter
Digital technologies are impacting manufacturing companies across their value chains. The document analyzes how different digital tools can optimize various parts of the manufacturing value chain, including product design, manufacturing, and supply chain management. It provides examples of companies like GE, Boeing, and Bombardier that have used digital tools like crowdsourcing, virtual prototyping, and digital factory models to drive innovation, increase productivity, and reduce costs and time to market. The document also presents a "Digital Innovation Radar" mapping various digital technologies to bottom-line and top-line opportunities for manufacturers.
Manufacturers were hard hit by COVID-19, but our research reveals the next best steps to take, based on the investments digital leaders in the industry have made and plan to make.
Manufacturing is changing at a rapid pace and Industrial Tech startups are popping up everywhere.
What do you need to benefit from these developments and to ride the wave of change in manufacturing.
The Work Ahead: The Second Half of the Chessboard: Media & Entertainment Is N...Cognizant
Although the M&E industry was among the first to digitize its products and services, it can’t stop there. Our study reveals they need to extend digital innovations from the front office into the middle and back office in order to ensure relevance far into the future.
Are Manufacturing Companies Ready to Go Digital?Capgemini
Manufacturing companies have traditionally been slow to react to the advent of digital technologies and their related impact across the manufacturing value chain and operating model. While there are a few manufacturing companies that have made rapid advances in deriving significant benefits from digital, their number is still small.
For instance, in a recent industry survey, only 25% of the interviewed executives believed that the manufacturing sector would be highly impacted by digital transformation over the next five years. Our study found that digital innovation is critical when it comes to addressing manufacturers’ key business drivers and creating value.
Digital Strategies: Covid-19 in ContextBabu George
Digital strategies aim to strategically use digital technologies to create or improve value for businesses. Key technologies driving the fourth industrial revolution include simulation, autonomous robots, 3D printing, smart clouds, the Internet of Things, big data analytics, augmented reality, and blockchain. Digital transformation is a process where organizations alter their structures and processes to take advantage of new opportunities from disruptive digital technologies. Successful digital strategies require changes not just in tools and processes but also in organizational culture and engagement with external stakeholders.
2015 is shaping up to be a pivotal year for the global manufacturing industry. Manufacturing plants are not longer dirty, dark and dangerous places to work; they house some of the world’s most sophisticated equipment, are managed using complex data and software, and run on powerful technology systems. As the concept of a ‘smart factory’ becomes more of a reality, we take a look at the manufacturing trends shaping the industry in 2015.
The document discusses how digital technologies are transforming core company operations across four key areas: manufacturing, capital asset management, supply chains, and product development. It outlines an evolving ecosystem of digital solutions emerging in these areas, with over 40 use cases identified in manufacturing alone. Companies must understand where value lies for their specific needs to develop a roadmap for digital operations that maximizes business benefits.
4 Key topics to enable your intelligent manufacturing transformationDynamics Square
Leading manufacturers are using intelligent technologies to innovate and adapt to new challenges. Use this guide to discover practical ways that #Microsoft can help you optimize your factories, equip your workforce, and draw insights with AI to thrive in the changing manufacturing landscape.
Read e-book: https://lnkd.in/g998SBNE
Digital technologies are reshaping businesses and how consumers interact with them. IT leaders must help their organizations adapt to these changes by embracing digital platforms and taking an ecosystem approach. This involves thinking about transforming products, processes and business models with digital, and aligning business and technology strategies. Adopting platform-based IT using integrated cloud stacks can provide the agility, scalability and innovation that digital businesses require.
Digital Transformation in Manufacturing: Benefits and TrendsPixel Crayons
In today’s world, digital transformation is not a choice for businesses anymore. Yes, it has become a necessity due to its limitless opportunities to help them grow.
By implementing the digital transformation in manufacturing, companies can easily enhance their productivity and efficiency.
Today, I will reveal the top advantages of digital transformation in manufacturing and its upcoming trends.
Here we will discuss:
1. Current Challenges Among Manufacturers that Digital Transformation Can Tackle
2. Digital Transformation Benefits in Manufacturing
3. Top Digital Transformation Trends in Manufacturing 2022
#digitaltransformationbenefits #digitaltransformation #digitaltransformationinmanufacturing #digitaltransformationtrends #digitaltransformationconsultingservices #digitaltransformationservicescompany #digitaltransformationservices #digitaltransformationconsultingindia #digitaltransformationconsultingfirms #digitaltransformationconsultancy
https://bit.ly/3nD49f3
Futurists have long predicted a world in which the products around us have minds of their own, from talking televisions to smart fridges. Now, at last, that vision is beginning to materialise, thanks to the plummeting cost of computing components and the ubiquity of wireless communications.
"Developing smart products" is a new report sponsored by Cognizant, that explores the commercial, organisational and strategic impact of smart products on the companies that develop them.
How the Digital Transformation is going to change the world of Work 4.0 with respect to the Introduction of Industry 4.0 technology. Will Jobs reduce or we will have more jobs with higher pay. An interesting analysis.
This document provides an overview of Industry 4.0 and how manufacturers can achieve digital transformation. It discusses what Industry 4.0 is, the current landscape of disconnected systems in manufacturing, and how solving problems and creating value through data insights. It also addresses common challenges of strategy, culture, leadership, focus and infrastructure for manufacturers. Finally, it outlines step-by-step recommendations for manufacturers to make Industry 4.0 a reality, including forming a digital team, learning from others, scaling initiatives, rethinking goals, and stimulating experiments.
Digital Transformation in Manufacturing IndustryFactory Worx
By reading this blog one will get to know about how to handle miscellaneous works as well as how to overcome the challenges with the help of digital transformation. Real-time insights, for example, can be used to monitor, resolve, and even foresee issues to optimise machinery lifecycles. It helps ensure that operations are error-free and that it avoids costly rework and disruptions.
This document discusses the opportunities and challenges presented by the Internet of Things (IoT). It outlines four key parts of an IoT ecosystem: connected things, users, enterprises, and partners. It also provides two examples of how an IoT ecosystem could work in practice, including a connected fleet solution for a car leasing company. The rise of the IoT will disrupt existing business models and require new approaches to product management, operations, production, sales and more. Developing IoT-based business ecosystems and services will be important for companies to capitalize on opportunities in this new connected world.
Similar to The Work Ahead: Designing Manufacturing’s Digital Future (20)
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Organizations rely on analytics to make intelligent decisions and improve business performance, which sometimes requires reproducing business processes from a legacy application to a digital-native state to reduce the functional, technical and operational debts. Adaptive Scrum can reduce the complexity of the reproduction process iteratively as well as provide transparency in data analytics porojects.
Data Modernization: Breaking the AI Vicious Cycle for Superior Decision-makingCognizant
The document discusses how most companies are not fully leveraging artificial intelligence (AI) and data for decision-making. It finds that only 20% of companies are "leaders" in using AI for decisions, while the remaining 80% are stuck in a "vicious cycle" of not understanding AI's potential, having low trust in AI, and limited adoption. Leaders use more sophisticated verification of AI decisions and a wider range of AI technologies beyond chatbots. The document provides recommendations for breaking the vicious cycle, including appointing AI champions, starting with specific high-impact decisions, and institutionalizing continuous learning about AI advances.
It Takes an Ecosystem: How Technology Companies Deliver Exceptional ExperiencesCognizant
Experience is becoming a key strategy for technology companies as they shift to cloud-based subscription models. This requires building an "experience ecosystem" that breaks down silos and involves partners. Building such an ecosystem involves adopting a cross-functional approach to experience, making experience data-driven to generate insights, and creating platforms to enable connected selling between companies and partners.
Intuition is not a mystery but rather a mechanistic process based on accumulated experience. Leading businesses are engineering intuition into their organizations by harnessing machine learning software, massive cloud processing power, huge amounts of data, and design thinking in experiences. This allows them to anticipate and act with speed and insight, improving decision making through data-driven insights and acting as if on intuition.
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Enhancing Desirability: Five Considerations for Winning Digital InitiativesCognizant
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Manufacturers are ahead of other industries in IoT deployments but lag in investments in analytics and AI needed to maximize IoT's benefits. While many have IoT pilots, few have implemented machine learning at scale to analyze sensor data and optimize processes. To fully digitize manufacturing, investments in automation, analytics, and AI must increase from the current 5.5% of revenue to over 11% to integrate IT, OT, and PT across the value chain.
The Work Ahead in Higher Education: Repaving the Road for the Employees of To...Cognizant
Higher-ed institutions expect pandemic-driven disruption to continue, especially as hyperconnectivity, analytics and AI drive personalized education models over the lifetime of the learner, according to our recent research.
Engineering the Next-Gen Digital Claims Organisation for Australian General I...Cognizant
The document discusses potential future states for the claims organization of Australian general insurers. It notes that gradual changes like increasing climate volatility, new technologies, and changing customer demographics will reshape the insurance industry and claims processes. Five potential end states for claims organizations are described: 1) traditional claims will demand faster processing; 2) a larger percentage of claims will come from new digital risks; 3) claims processes may become "Uberized" through partnerships; 4) claims organizations will face challenges in risk management propositions; 5) humans and machines will work together to adjudicate claims using large data and computing power. The document argues that insurers must transform claims through digital technologies to concurrently improve customer experience, operational effectiveness, and efficiencies
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2. 2 THE WORK AHEAD | DESIGNING MANUFACTURING’S DIGITAL FUTURE
The Work Ahead is a research series providing
insight and guidance on how businesses – and
jobs – will evolve in the digital economy.
Whether you’re a producer of consumer durables or industrial goods, the future of manufacturing
isn’t just about using new technologies to design and make physical products. It’s about
leveraging the power of digital to create more connected and personalized experiences for
customers. Our latest study shows the way forward to the future of work for manufacturers.
In this installment, we look at the new digital economics of manufacturing, as well as the ways
in which new digital skills and technologies – from analytics and automation through artificial
intelligence (AI) – will enable manufacturers to innovate new work (and work processes).
3. 3
THE WORK
AHEAD IN
MANUFACTURING
Traditional manufacturing has always focused on getting products and parts crafted, fabricated,
stored, moved and distributed to the right place at the right time. And because no manufacturer
is an island, these steps have had to be intensively coordinated among partners — suppliers,
production shops, shippers, distributors, retailers and, yes, customers.
Yet everywhere you turn, there are seemingly new competitive moves — everything from Amazon’s
private-label diapers dropped digitally at your door,1
to John Deere’s “Farm Forward” crop
management ecosystem, 2
or GE’s digital jet engines that are instrumented down to the individual
fan blade3
— that make past approaches suddenly seem old, creaky and unresponsive.
Even the simple act of making pizza can now involve prep and delivery with high-tech equipment:
Zume Pizza in Palo Alto, Calif., for example, is using a robot to expedite the experience of
deliciousness. This is not science fiction — it’s happening, now.4
Far more serious and sophisticated
global digital changes in manufacturing are also occurring, as customers demand more than “better
stuff” and gimmicks — and seek experiences that inform, inspire and bring meaning to their lives.
Just as Detroit’s assembly lines changed the very nature of work in auto manufacturing, new
digital technologies herald massive change in the work ahead for the entire manufacturing sector.
One driver of change is 3-D printing and its ability to allow some manufacturers to create new
jobs onshore, or bring back old ones from abroad. This technology is also spurring the emergent
trend of so-called “maker-artisans” in diverse locales worldwide, presaging a near-term future of
“what you want, when you want it” manufacturing. Imagine goods produced by local, bulk 3-D
printing capabilities and a collective of skilled “finishers” that apply a final-polish, small-batch
or artisanal stamp to the goods, to add a unique, personal touch.
4. 4 THE WORK AHEAD | DESIGNING MANUFACTURING’S DIGITAL FUTURE
The combination of localized production and customer-centered design will also likely alter
the historic arm’s-length relationships between producers and distributors/dealers. If you can
“make” something at the same site from which it is sold, why would you need a downstream
intermediary? Legacy industrial models will need to be strategically re-thought or blended with
new, digitally-driven approaches. For example, imagine a post-petroleum world, in which gas
stations merge with quick-printing chains like Kinko’s to form local manufacturing sites, producing
3-D printing designs at scale and recycling waste materials back out through the supply chain.5
Already, embedded sensors and the Internet of Things (IoT) are breaking down barriers between
products, customers, retailers, wholesale partners and suppliers. In response, manufacturers have
a massive opportunity to make products that push the envelope of game-changing innovation
or new levels of efficiency.
With digital innovation, the days of top-down, “you’ll-get-what-we-give-you” mass production are
giving way to co-creation processes that deploy crowdsourcing techniques to improve products via
open collaboration platforms that encourage innovation and yield highly personalized products
built for markets of one.
The work ahead for all participants in the physical and digital manufacturing realms will be to
strengthen, cultivate and coordinate the ecosystem of partners in an interconnected world of
intelligent embedded systems that produce meaningful products, services and experiences for
customers.
Legacy industrial models will need to be strategically
re-thought or blended with new, digitally-driven approaches.
Key Insights
To understand what the future holds for manufacturing, Cognizant's Center for the Future of
Work surveyed 2,000 executives globally, including 500 senior executives from the consumer
and industrial products spaces (see Methodology, page 20). From their input, we learned:
• Manufacturers haven’t saved money using digital, but their investments are reaping new
revenues. So far, respondents think digital initiatives have increased manufacturing costs
by 1% during the last year, but they’ve also improved revenues by 5.4%.
• Digital will become a money-making assembly line over the next few years. By 2018,
respondents expect to boost revenues by 9.0%. Extrapolated to the entire global
manufacturing industry, digital will drive almost 25% additional growth.
• To reap the rewards, tune in to the digital channel. Today, only 30% of respondents
believe more than 20% of their revenues currently originate from digital channels. By
2020, however, that percentage leaps to 78%.
• Analytics and AI are transforming global “making” processes. Roughly 70% of
respondents think digital change is boosting the need for innovation skills today and will
continue to do so through 2018. Meanwhile, the percentage of respondents who believe AI
will have a significant impact on manufacturing by 2025 vs. today jumps nearly 400%.
Getting ahead of these systems of intelligence is essential and will likely trigger a surge in
analytics skills needed by 2020.
5. 5
• Forget “oil spills” – manufacturers are worried about “data spills.” Universal concern
about overshared personal data abounds among manufacturers, with 90% of respondents
citing this as a moderate or significant concern.
• Digital change makes manufacturing more meaningful in the work ahead. Consumer
demand is evolving – fast – from a desire for “stuff” to more meaningful experiences, and
manufacturers will need to adapt their skills accordingly. Their employees increasingly
want to work on things that will improve other people’s lives. As such, over 50% of
respondents believe that digital technology will allow them to "contribute more
meaningfully."
Digital forces — including 3-D printing, IoT/sensors, drone delivery and manufacturing robots — are
converging to transform manufacturing and the entire value chain, and it’s increasingly being
done by smart machines and code to augment human workers and customers.
Whether your company is a manufacturer of consumer or industrial products, the time to act
is now. Leaders need to make critical choices regarding initiatives that will quickly allow the
benefits of digital to help their businesses succeed. The scale of the opportunity is massive
— and eminently achievable.
6. 6 | DESIGNING MANUFACTURING'S DIGITAL FUTURETHE WORK AHEAD
MAKING
MONEY MEANS
SPENDING
MONEY
But Gains Achieved Digitally Double by 2018
After years of developing cost-saving programs to drive lean manufacturing, companies now want
to propel outsized results on the top line through digital injection. Digital initiatives have increased
manufacturing costs by 1% but have simultaneously improved revenues by 5.4% (see Figure 1, next
page). By 2018, cost reductions remain marginal — while costs do decrease, it’s only by a mere 0.7%
(with the exception of retail, this is the least impact measured in any industry we studied).
The strategy to “give” on costs to “get” outsized revenues will continue through 2018. As a result, many
manufacturers will be doubling-down on digital, knowing they need to spend money to make money,
causing revenues to soar 9.0% by 2018. That’s nearly a 10% top- and bottom-line improvement. If we
extrapolate beyond our respondents to the entire global manufacturing industry, we estimate that
digital will drive 24.7% additional growth in the $13 trillion manufacturing sector worldwide between
now and 2018.6
That’s a massive amount of money.
Getting down into the weeds of these new, complex technologies might seem like the hard part, but
in fact the really hard part is vision, imagining the future and thinking big — in other words, avoiding
incrementalism. This requires a major mindset shift, and then animating and bringing the technology
vision to life.
7. 7
Manufacturers have moved beyond “knowing something needs to happen” to “making something
happen;” we’re already seeing examples of tailored and customized versions of everything from
stylish wardrobes, self-driving cars and shipping options to house-paint colors. By linking the
purchase of discrete goods to continuous lifestyle choices, products can become services.
For example, Asian Paints (the largest paint company in India) has used the combination of
industrialized sensors, automation and social media analytics to catalyze both internal operations
and customer-driven product development and marketing outreach.7
By developing smarter
“products-as-a-service” and more agile demand-driven supply chains, manufacturers like Asian
Paints hope to generate growth rates far and above what they would have enjoyed in the “pre-
digital” era.
-0.7%
7.5%
5.4%
1.0% 0.8%
9.0%
Revenue and cost impact over from 2015 to 2018 Revenue
2015 2015 Potential* 2018
Cost
0%
2%
4%
6%
8%
10%
-2%
Digital's Cost & Revenue Impact in Manufacturing: Present vs. 2018
Senior executives think digital increased costs by 1% in 2015, but simultaneously improved revenues by 5.4%. By
2018, respondents expect digital to boost revenues by 9.0%.
Source: Cognizant Center for the Future of WorkFigure 1
Response base: 500 senior manufacturing executives
* 2015 Potential Impact represents the outcome respondents think they could
gain were they to fully implement all digital best practices available to them.
8. 8 | DESIGNING MANUFACTURING'S DIGITAL FUTURETHE WORK AHEAD
MAKERS FIND
NEW DIGITAL
ROUTES TO
MARKET
It’s clear that manufacturers expect increased revenue growth from digital channels between
now and 2018. While only one-third of our respondents believe that 20%-plus of their revenues
currently originate from digital channels (see Figure 2, next page), that percentage more than
doubles to 78% by 2020.
The implications of this shift are huge. With the growing recognition that the days of making
mass-produced things and selling them at a profit are becoming obsolete, manufacturers realize
they need to adopt a broader transformation strategy that will affect their customers, suppliers,
products, markets and employees.
A look at other industries can also be instructive. For example, imagine if Uber were a manufacturer:
It might consider variables such as access to on-demand machine time, long-term or micro-
leasing of equipment and driving higher machine utilization rates. As other industries continue
to morph, age-old notions of what’s “core” vs. “non-core” in manufacturing need to be revisited
(and revisited again and again several times over the next decade as digital disruptions continue).
Whether it’s Levi’s shifting from being “just a jeans company” to a branding juggernaut,8
Ford
Motor Co. rethinking the future of cars as “mobile communications platforms,9
” or GE’s existential
relaunch as a “digital industrial company,” the signs of manufacturers’ metamorphoses are
everywhere, and we’ll see even more signals in the coming years.
9. 9
10%
20%
30%
40%
50%
60%
0% 10% 20% 30% 40% 50% 70%60% 90%80%
2015
2020
The Huge Shift to Digital as a Revenue Channel in Manufacturing
Only about 30% of manufacturers think more than 20% of their revenues were obtained through digital channels
in 2015. By 2020, 78% think it will be 20% or more.
Source: Cognizant Center for the Future of WorkFigure 2
What percentage of your company’s revenue now comes
through digital channels, and what percentage do you expect
to come from digital channels in 2020?
Response base: 500 senior manufacturing executives
%ofmanufacturingrespondents
% of company revenue from digital channels
10. 10 | DESIGNING MANUFACTURING'S DIGITAL FUTURETHE WORK AHEAD
MAKING
CHANGES
TO WORK
AND SKILLS
When manufacturing executives look at the top-five impacts of digital that are set to transform
work between now and 2020 (see Figure 3, next page), they agree that as more tasks are
automated, work will become more strategic. That is, there will be less emphasis on discrete
manufacturing equipment installation, and more focus on whether the gear will — or won’t —
enhance new digital business approaches.
At the same time, our data also shows that digital will cause work to require greater technical
expertise. Manufacturers need increasingly sophisticated ways of seeing the bigger picture of
their business, in order to adapt and respond to demand volatility. Simultaneously, these changes
will play out against a backdrop of skills shortages in the U.S. manufacturing industry of at least
two million by 2025.10
Respondents also believe that digital will help them work faster, without
having to necessarily work longer hours, or harder. Given the incipient skills shortages, further
automation will be a critical remedy. Manufacturers – quickly – need to launch active programs
around systems of intelligence that lead to more human-robotic collaboration.
11. 11
Manufacturers – quickly – need to launch active programs
around systems of intelligence that lead to more human-
robotic collaboration.
Fabricating the Future: Analytics Skills to Unlock Innovation
New automated systems, in concert with manned systems, create new outcomes by better
integrating all participants – suppliers, partners, materials scientists, machinists and heads of
safety – through digital approaches. Robots and other autonomic systems are working alongside
humans on modern manufacturing floors rather than being contained in “just designed for
robots” floors. A great example is the Airbus factory, in which robots are strapped to the side
of fuselages, riveting thousands of holes, with operators “piloting” the robots.11
To personalize this even further, consider the views of Greg Morris, Additive Technologies Leader
at GE Aviation, regarding 3-D printing: “You’re going to have higher-skilled positions, both on the
technician level, and the engineering and design level ... You’ll get complex parts that a machinist
will have to work with vs. starting with a block of material. So you’re not replacing machinists,
you’re just asking them to learn a little different skill set of what they start with and work with.”12
As tasks are
automated, work will
become more strategic.
97%
Work will require
greater technical
expertise.
97%
Jobs and the required
skills will change
significantly.
94%
We will
work faster.
94%
Interpersonal
relationships at work
will be more valuable.
93%
Digital Forces Transforming the Work Ahead in Manufacturing
Senior executives believe as future tasks become more automated, work becomes faster and more strategic. Greater
technical expertise will be required, and skills undergo significant change, but interpersonal relationships will be
more valuable.
Source: Cognizant Center for the Future of WorkFigure 3
Percentage of senior executives who believe the
following will have a moderate or strong impact on work.
Response base: 500 senior manufacturing executives
12. 12 THE WORK AHEAD | DESIGNING MANUFACTURING’S DIGITAL FUTURE
As Figure 4 reveals, innovation is the most important skill for manufacturers today (cited by
70% of respondents), and by 2020, its importance increases (80%), as does the need for
global operating skills (80%). Furthermore, intelligent automation and AI will reforge the links
in manufacturers’ physical value chains as they digitize – releasing a flood of process feedback
and analytics instantly. Consider the impact on workplace safety and productivity as well, as
sensors provide interconnectivity between the shop floor and the managerial “top floor,” reducing
the human intervention required to address issues or deviations. Sensors can also continually
measure operating parameters, such as temperature, pressure, alignment or thickness at a
process level, and send this data to a remote controller for real-time adjustments and analysis.
What that means for manufacturers is: Use advanced digital technologies to not only cut costs,
but to also get smart. The instrumentation of smart factories will also spur a surge in the need
for analytics skills by 2020 (from 57% today to 75%). More than just “doing digital” or “doing
big data,” those with analytics skills will bring premium assets to manufacturers in multiple ways,
such as supply chain optimization, product quality and asset optimization. As manufacturers
ramp up their IoT initiatives on the shop floor, an explosion of analytics-driven optimization is
just around the corner.
Innovation Skills
+10%
Design
Skills
+13%
Analytical
Skills
+18%
Leadership
Skills
+11%
Selling
Skills
+8%
Decision-
making
Skills
+8%
Fabrication
Skills
+11%
Strategic
Thinking
Skills
+8%
Global
Operating
Skills
+13%
2020
2015
20%
80%
100%
60%
40%
Skills that Will Grow More Important in the Future
Innovation is the most important skill, and by 2020, it grows in importance as a leading capability, also joined by
global operating skills. Analytical skills also surge by 2020.
Source: Cognizant Center for the Future of WorkFigure 4
Response base: 500 senior manufacturing executives
13. 13
The creation and release of data through smart machines is ripe for analytics and meaning-making.
When products become services, transactions give way to real-time, continuous engagement,
leading to breakthroughs that introduce the “next cool experience” — the next Tesla or must-
have product with augmented reality, etc. — that people want to buy. (Beyond being tangible
“things,” connected cars like Tesla, loaded as they are with sensors and infotainment options,
can be likened to “smartphones on wheels.”13
) For example, Jabil (the second-largest contract
manufacturer in the world, after iPhone-maker Foxconn) is accelerating innovation and speed-to-
market by making major investments in digital prototyping, building-on-demand and intelligent
digital supply chains.14
These investments are strategic growth levers for Jabil; while the company
is still hiring much-needed employees to fill skills gaps, new digital investments allow productivity
improvements that are two to three times beyond what employees could achieve using “old”
mechanized manufacturing approaches. All of this results in a digital enterprise where integrated
machines, data and people with acute analytics skills create synergies, and something more
powerful than the sum of their parts.15
Lastly, our respondents anticipate dynamic growth in demand for design skills (whose importance
burgeons to 70% by 2020), as well as fabrication skills (71% by 2020, as well). These trends
underscore the coming impact of 3-D printing and additive manufacturing and the redoubled
attention to the “maker culture” we’re already seeing in the future of work and work processes.
We expect to see this at the industrial level of manufacturing, too. Motorsport technology designer
Prodrive uses 3-D printing to manufacture parts on-demand;16
similarly, Ford has started using
3-D printing to create the prototype engine parts for its automobile testing.17
From a product
lifecycle management (PLM) perspective, the new Maserati Ghibli is manufactured using a state-
of-the-art process on a production line created specifically for it — right from the stage where
components are drafted digitally and tested virtually before they are manufactured.18
14. 14 | DESIGNING MANUFACTURING'S DIGITAL FUTURETHE WORK AHEAD
ANALYTICS,
IOT, SENSORS,
AI WILL DRIVE
INNOVATION
More Data Equals More Security Concerns
With so much data swirling around the shop floor between suppliers and partners, and additional
data being generated by smart products and their users, survey respondents voice palpable
concern about the security and privacy risks of all that information getting into the wrong
hands. While “oil spills” are bad, the anxiety about “data spills” among manufacturers is terrible.
On the one hand, given its massive growth potential, digital change is a blessing for both industrial
products and consumer goods manufacturers. On the other hand, there’s the responsibility — or
at least a heavy burden — of ensuring the safety and security of information as cyber threats
continue to increase at the global, local and individual level. Already we’ve seen significant
hacks of seemingly benign IoT devices like children’s toys and webcams, with the intent of
“weaponizing” them to clog the wider Internet. (If the idea of having to upgrade the firmware
on your IoT porch light seems ludicrous, thousands of consumers agree.) As a result, big data
and cybersecurity — and related digital technologies like mobile and sensors/IoT — are having
the biggest impact on manufacturers today (see Figure 5, next page).
By 2025, sensors and IoT stand as the pre-eminent digital technologies affecting the
manufacturing sector. By then, we’ll likely see the instrumentation of every product, and more
smart products means more data. Add to that a variety of autonomous and semi-autonomous
systems, from 3-D printing to sensors and robots, converging to become an integral part of
enterprise business architecture.
15. 15
While industrial robots have a decades-long heritage in manufacturing, there is still major runway
ahead for further depth, breadth and reach of automation in manufacturing over the next 10 years.
Our data bears this out. The percentage of respondents who say software “robots” for process
automation will have a significant impact on work grows 336% by 2025, while the significance
of robots that manipulate physical things will rise 357%. AI beats all digital technologies in
expected impact, growing a whopping 395%.
We think the aforementioned impending skill gaps in manufacturing will drive higher degrees of
automation and adoption of the next wave of robotics. At the same time, we expect that further
automation adoption by manufacturers will propel limited experiments with AI and robotics that
are in line with projections on the most critical skills shortages.
2015
2025
(projected)
70% 50%
Artificial intelligence 391%
Process automation software 336%
Robots that manipulate physical things 357%
Telepresence devices 298%
Biotechnology 326%
Big Data/analytics 137%
Internet of Things 242%
Wearable technology 262%
Collaboration technology 356%
Social media 248%
Cloud (public) 172%
Cybersecurity 137%
Mobile technology 147%
The Digital Technologies Whose Impact Is Expected to Grow the
Most in Manufacturing
Between now and 2025, digital technologies focused on the Internet of Things — as well as big data/analytics,
cybersecurity and collaboration — are projected to have maximum impact on manufacturing companies.
Source: Cognizant Center for the Future of WorkFigure 5
Response base: 500 senior manufacturing executives Percentage of respondents who say the technology category
will have high or very high impact
Growth over 10 years
16. 16 THE WORK AHEAD | DESIGNING MANUFACTURING’S DIGITAL FUTURE
Data Security Remains a Major Concern
In addition to data security having a high technological impact on the business of manufacturing,
industry executives are also greatly concerned about security from a personal perspective, as well.
As shown in Figure 6, in an instrumented “world of things,” nearly all executives – 90% — are
concerned about personal data getting into the wrong hands. When sensors become embedded
in all products, this could perhaps fuel fears of a “Big Brother” world, in which personal data
becomes ever more the target of hacks and exploitation.
This finding also ties in with “digital terrorism” as the biggest significant concern (38%, when
we strip out those who felt it was only a moderate concern). No matter how one views the
future work ahead in manufacturing, there is a connected, over-arching issue here between
data, data protection, theft and outright terrorism.
Regardless of the products made, every manufacturer needs an absolutely robust data security
strategy and infrastructure, as well as the creation of a separate function focused on overall
digital security.
90%
87%
82%
80%
80%
79%
78%
77%
76%
76%
Personal information of people will be disclosed or overshared
Automated technology will take jobs from people we care about
People will be more exposed to fraud and theft
We will be overwhelmed by information in our daily lives
So much digital information will cause a decline in critical thinking skills
Digital terrorism will become more common
Being “always on, always connected” will mean less personal freedom
Technology will make us all more disconnected from people we care about
Technology will seperate us from the natural world
Technology will create more stress at home and the office
Data Security Is a Major Concern
Manufacturing executives' concerns around the move to a more digital world fixates on data security: everything
from personal information being overshared, to data theft and fraud and — significantly — digital terrorism.
Source: Cognizant Center for the Future of WorkFigure 6
Response base: 500 senior manufacturing executives
Percent of respondents naming each as an area of significant
or moderate concern.
concern
17. 17
LOOKING
FORWARD:
MAKING
MANUFACTURING
MEANINGFUL
IN THE WORK
AHEAD
Is it possible that we are witnessing a manufacturing renaissance in the making? Perhaps – but a big part of
the equation is to “make manufacturing meaningful.” Will it break the mold, or lead to “creative destruction?”
At the end of the day, manufacturing is about “making.” Analytical thinking, collaboration, communication,
creative problem-solving – undertakings that fuel the imaginations of the largest global industrial producers
and consumer goods companies to small-batch “maker movements” the world over – will become even more
essential than ever before.
In the case of 3-D printing, the manufacturing industry is likely to be substantially impacted. Company structures
will evolve rapidly, leading to new business, new innovation and new jobs that are more localized, skilled and
craft-oriented – and more human in scale. Whether it’s cosmetics companies testing new products on 3-D printed
skin rather than animals, or precision-finishing of 3-D printed aerospace parts, or craft breweries that refine their
creativity and scale by using automated production processes, there is a sea change occurring in the ways many
manufacturers think about the work ahead.
18. 18 THE WORK AHEAD | DESIGNING MANUFACTURING’S DIGITAL FUTURE
Figure 7 reveals the changing work attitudes. The response “contribute more meaningfully” (73%)
tops the list of responses from those surveyed. There’s also a widespread sense of optimism
that digital will help executives excel in their careers by providing additional opportunities for
advancement (61%), as well as better communication with colleagues (57%).
The generations about to enter the workforce are bringing a powerful, innovative and inventive
“maker” ethos with them. They will also require more systems-level thinking and convergence
of disciplines. These are the skills that will foster innovation. All of these attributes echo the
growth seen in design skills and collaboration skills, as seen in Figure 4.
The work ahead will require manufacturers to apply digital to making manufacturing more
meaningful. To stay relevant in the digital economy, manufacturers will need to double down
on activities where they currently have an advantage over silicon – and will continue to do so.
In the words of Professor Leslie Willcocks of the London School of Economics, “It’s time to take
the robot out of the human.”19
Ability to contribute more meaningfully
Opportunity for advancement
Communication with colleagues
Job commitment and engagement
Work satisfaction
Job recognition
Personal interactions and relationships
Urge to get ahead
Empathy and support among colleagues
73%
61%
57%
55%
50%
48%
46%
46%
37%
How Digital Will Change Attitudes About Work
Manufacturing respondents think digital will result in more meaningful contributions, as well as more opportunities
for advancement. Everything from better communication with colleagues to job commitment, engagement and
satisfaction was also cited by a majority of respondents.
Source: Cognizant Center for the Future of WorkFigure 7
Response base: 500 senior manufacturing executives
19. 19
Our new research points to the onset of a new thinking in manufacturing - one that shuns the
abundance of “cost-plus” offerings and heralds the coming of an “experience-centered” strategy.
Clearly the investment landscape is preparing to take more creative risks and opportunities – all
made possible by the digital revolution.
Our new research points to the onset of a new thinking in
manufacturing — one that shuns the abundance of “cost-
plus” offerings and heralds the coming of an “experience-
centered” strategy for customers.
So what should the manufacturing industry be focusing on? Some critical factors include:
• Accelerate change across the organization. Anticipating the needs of new digitally-driven
customers has never been more urgent. The growth of a creative thinking mindset needs
to percolate throughout the organizational hierarchy.
• Design a learning organization. Your sales teams will be familiar with the motto “always
be closing” – but what about “always be learning”? The race to bridge the divide between
traditional manufacturing organizational skills and consumer wants and needs requires
industry leaders to create a culture of continuous learning to foster innovation in the
digital age.
• Create a lab as a “play-space” to facilitate breakthrough thinking. What can be learned
from other industries? (“What if manufacturing was done by Uber? What if an automaker
had invented Pokemon GO?”) Curiosity and questioning will help inspire digital production
innovation, collaboration and ongoing experimentation for new approaches and services
that can be brought to new markets.
• Cultivate your ecosystem of partnerships. As noted above, no manufacturer is an island.
Tap into the creativity and capabilities of your partnership ecosystem; successfully
exploiting this nexus of participants will be the difference between winning and losing at
the digital shift point.
• Evolve from products to “themes.” This can’t be one-size-fits-all, though. Leading
manufacturers will need to repurpose product development strategies from a single-
product focus to theme-oriented offerings that address multiple personas and
constituents.
In a world of experience, data coupled to design is crucial, going beyond aesthetics to encompass
“digits” in, around and beyond the “widget.” Manufacturers will likely need to harness innovation
from other partners and alliances vs. advancing market innovation by relying solely on their
own efforts.
It won’t be easy for manufacturers to cultivate broader visions of the possibilities of digital
transformation. Yet, it’s essential to ensure relevance at a time when manufacturing is being
reshaped by new cultural and economic forces, unleashing a critical digital shift in the future of work.
20. 20 THE WORK AHEAD | DESIGNING MANUFACTURING’S DIGITAL FUTURE
Methodology
We conducted a worldwide survey between December 15, 2015, and January 28, 2016, with
2,000 executives across industries. 500 executives from the consumer and industrial products
industries participated in the survey. The executive survey was run in 18 countries in English,
Arabic, French, German, Japanese and Chinese. We used telephone interviews for executives.
The study was conducted with research and economic support from Roubini ThoughtLab, an
independent thought leadership consultancy.
Footnotes
1
Daphne Howland, “Amazon Private Label Brands Crushing Competitors across Categories,”
RetailDive, Nov. 4, 2016, http://www.retaildive.com/news/study-amazon-private-label-brands-
crushing-competitors-across-categories/429770/.
2
Michal Lev-Ran, “What John Deere Is Doing to Fight Slumping Sales,” Fortune, Nov. 15, 2015,
http://fortune.com/2015/11/15/john-deere-software-services-agriculture-data/.
3
Laura Winig, “GE’s Big Bet on Data and Analytics,” MIT Sloan Management Review, Feb. 18, 2016,
http://sloanreview.mit.edu/case-study/ge-big-bet-on-data-and-analytics/.
4
Parija Kavilanz, “Robot Pizza Place Introduces High-Tech Delivery Trucks,” CNN Tech, Sept. 29,
2016, http://money.cnn.com/2016/09/29/technology/zume-pizza-delivery-truck/index.html?iid=ob_
homepage_tech_pool.
5
UC Berkeley professor and “father of virtual reality” Jaron Lanier envisioned this potential
scenario for 3-D printing/recycling in his 2013 book Who Owns the Future? (published by Simon
Schuster).
6
Economists from Roubini ThoughtLab extrapolated our study results across the manufacturing
industry – which currently generates roughly $13 trillion - to arrive at the finding that digital will
drive nearly 25% of additional revenue growth between now and 2018.
7
George Westerman, Didier Bonnet and Andrew McAfee, Leading Digital: Turning Technology
into Business Transformation, Harvard Business Review Press, 2014, https://hbr.org/product/
leading-digital-turning-technology-into-business-transformation/an/17039-HBK-ENG.
8
Denise Lee Yohn, “How Levi’s Became a Brand with Staying Power,” Entrepreneur, March 28, 2015,
https://www.entrepreneur.com/article/243412.
21. 21
9
Bill Ford, “The Future of Transportation: We Can’t Simply Sell More Cars,” The Wall Street
Journal, July 7, 2014, http://www.wsj.com/articles/bill-ford-on-the-future-of-transportation-we-
cant-simply-sell-more-cars-1404763769.
10
“The Skills Gap in Manufacturing 2015 and Beyond,” Deloitte and Manufacturing Institute, 2015,
http://www.themanufacturinginstitute.org/~/media/827DBC76533942679A15EF7067A704CD.ashx.
11
Peggy Hollinger, “Meeting the Cobots: Humans and Robots Together on the Factory Floor,”
Financial Times, May 5, 2016, https://www.ft.com/content/6d5d609e-02e2-11e6-af1d-c47326021344.
12
Rob Wile, “This Technology Could Have the Biggest Impact on American Jobs Since Outsourcing,”
Business Insider, Sept. 4, 2014, http://www.businessinsider.com/how-3d-printing-will-affect-
manufacturing-jobs-2014-8.
13
Liz Slocum Jensen, “Tesla Was Just the Beginning: Introducing the Connected Car Landscape,”
VentureBeat, May 11, 2016, http://venturebeat.com/2016/05/11/tesla-was-just-the-beginning-
introducing-the-connected-car-landscape/.
14
“Introducing the Intelligent Digital Supply Chain,” Jabil, May 17, 2016,
http://www.jabil.com/blog/introducing-the-intelligent-digital-supply-chain/.
15
Eric Hoch, “What It Takes to Build a Manufacturing Digital Enterprise,” Manufacturing
Business Technology, April 2016, http://www.mbtmag.com/article/2016/04/what-it-takes-build-
manufacturing-digital-enterprise.
16
Kathleen Hall, “How 3-D Printing Impacts Manufacturing, Computer Weekly,
http://www.computerweekly.com/feature/How-3D-printing-impacts-manufacturing.
17
Lucas Mearian, “Inside Ford’s 3-D Printing Lab, Where Thousands of Parts Are Made,”
Computerworld, June 4, 2014, http://www.computerworld.com/article/2490192/emerging-
technology-inside-ford-s-3d-printing-lab-where-thousands-of-parts-are-made.html.
18
“Modeling New Perspectives,” Siemens, 2015, http://www.siemens.com/digitalization/public/
pdf/FoM-modeling-new-perspectives.pdf.
19
Leslie P. Willcocks and Mary C. Lacity, “Service Automation: Robots and the Future of Work
2016,” Steve Brookes, 2016, https://www.amazon.com/Service-Automation-Robots-Future-Work/
dp/0956414567.
22. 22 THE WORK AHEAD | DESIGNING MANUFACTURING’S DIGITAL FUTURE
Robert Hoyle Brown is an Associate Vice-President in
Cognizant’s Center for the Future of Work and drives strategy
and market outreach for Cognizant’s Business Process
Services business unit. He is also a regular contributor to
the blog www.futureofwork.com. Prior to joining Cognizant,
he was Managing Vice-President of the Business and
Applications Services team at Gartner, and as a research
analyst, he was a recognized subject matter expert in BPO,
cloud services/BPaaS and HR services. He also held roles at
Hewlett-Packard and G2 Research, a boutique outsourcing
research firm in Silicon Valley. He holds a bachelor’s degree
from the University of California at Berkeley and, prior to
his graduation, attended the London School of Economics
as a Hansard Scholar.
He can be reached at Robert.H.Brown@cognizant.com.
Prasad Satyavolu is Global Head of Innovation within
Cognizant’s Manufacturing and Logistics business unit. He
has worked extensively across the automotive, aerospace,
consumer products, industrial, process, logistics and retail
sectors, enhancing core processes in product development,
integrated supply chain and customer experience
management. His 26-plus years of experience span the
industry value chain and extend across continents. Prasad
has authored and guided research on product development,
global sourcing, lean enablement strategies and advanced
analytical techniques to transform business performance.
Prasad has a bachelor’s degree in engineering from DEI
Dayalbagh, India, and has completed the Management
Education Program at IIM Ahmedabad, India.
He can be reached at Prasad.Satyavolu@cognizant.com.
Robert H. Brown
Associate Vice-President,
Cognizant's Center for the
Future of Work
Prasad Satyavolu
Global Head of Innovation,
Cognizant Manufacturing
Logistics
About the Authors