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1、GENERATIVE AI TRENDS IN MANUFACTURINGActivate the future of your business with innovation,effectiveness,and resilienceBased on a commissioned study conducted by Forrester ConsultingReportGenerative AI Trends in Manufacturing2TABLE OF CONTENTS1.EXECUTIVE SUMMARY 2.PART 1:TRANSFORMATION WITH INDUSTRY

2、5.0 AND GEN AI3.MANUFACTURING 5.04.CURRENT STATE OF GEN AI IN MANUFACTURING5.PART 2:TRANSFORMATION WITH INDUSTRY 5.0 AND GEN AI6.RIGHTLY THINK ABOUT GEN AI7.ACTIONS TO IMPLEMENT YOUR GEN AI STRATEGY8.GET DEEP INDUSTRY EXPERIENCE9.PART 3:TRANSFORMATION WITH INDUSTRY 5.0 AND GEN AI10.APPENDICESFURTHER

3、READINGANDRELEVANTSTUDIESReportGenerative AI Trends in Manufacturing3The manufacturing landscape has evolved with the advent of Industry 5.0,which emphasizes human-machine collaboration and integrates advanced technologies like Generative AI(Gen AI)to enhance operational effectiveness,agility,and su

4、stainability.Key challenges,such as skilled labor shortages and data readiness issues,underscore the urgent need for this transition.Gen AI offers substantial benefits,including improved decision-making,predictive maintenance,and streamlined operations.Many organizations have yet to fully unlock its

5、 value due to fragmented data and a lack of technical skills.Take,for example,Emma Companion,CEO of PrecisionMotive.Emma exemplifies the transformative journey toward a smart,autonomous manufacturing ecosystem,driven by Industry 5.0 principles.Her vision includes the use of Gen AI to address busines

6、s challenges and improve employee satisfaction through advanced technologies.(More on Emma and PrecisionMotive to come.*)Despite the many capabilities Gen AI technology will enable,without the right business use cases identified,it wont deliver desired results.Gen AI is a technology.As such,it is cr

7、ucial to integrate Gen AI into existing workflows to create or improve an outcome rather than think of it as a standalone solution.This ensures cohesive operations that maximize insight and innovation.Collaborations with technology partners and Gen AI experts are vital,providing the technical abilit

8、y and industry-specific knowledge necessary for successful Gen AI adoption.These partnerships allow manufacturers to close the talent gap,apply Gen AI technology to drive manufacturing effectiveness,and achieve long-term competitiveness in a rapidly changing market.*DISCLAIMEREmma Companion and the

9、PrecisionMotive narrative is a fictional work created for illustrative purposes.Though inspired by real-world manufacturing challenges,all characters and events are entirely fictional.It highlights the impact of Industry 5.0 and Gen AI,focusing on human and technology synergy in transforming future

10、manufacturing.Any resemblance to actual companies,products,or individuals is purely coincidental and must not be taken as factual.EXECUTIVE SUMMARYThis report cites findings from our commissioned Forrester Consulting studyREAD THE FULL STUDYReportGenerative AI Trends in Manufacturing4PART 1:TRANSFOR

11、MATION WITH INDUSTRY 5.0 AND GEN AIIn a bustling city known for its forward-thinking approach to technology innovation,PrecisionMotive faced significant operational challenges and increased competition both locally and internationally.The company,once renowned for its specialized automotive parts,st

12、ruggled with rising operational costs,increases in unplanned downtime,and a shortage of skilled workers.As CEO,Emma knew that to survive and thrive,PrecisionMotive needed a radical transformation.On a wet winter day,Emma woke up early and headed to a conference being held in her city where she learn

13、ed about Industry 5.0.She discovered that Industry 5.0 builds on Industry 4.0 principles of optimization and effectiveness through technology but puts an emphasis(and reintroduces)the human element into the manufacturing equation.This evolved set of principles emphasizes the importance of product cu

14、stomization and collaboration between humans and intelligent machines.Intrigued,Emma embraced the concept of humans and advanced technologies,such as Gen AI,to create smarter,more effective factories.As an early adopter of digital technology to automate manufacturing processes,she realized this coul

15、d positively address PrecisionMotives business challenges.As the sun broke through the clouds,inspired,Emma returned to her manufacturing organization with a vision:A multi-year journey to transform PrecisionMotive into a future-ready factory.ReportGenerative AI Trends in Manufacturing5MANUFACTURING

16、 5.0The manufacturing landscape has gone through a substantial transformation,transitioning from the principles of Industry 4.0 to the more advanced and integrated framework of Industry 5.0.Industry 4.0,characterized by the digitization of the manufacturing sector,introduced smart factories,internet

17、 of things(IoT),and advanced automation.It reconstructed production processes through the adoption of cyber-physical systems,big data analytics,and cloud computing,enhancing operational effectiveness and productivity.However,the rapid pace of technological advancement and evolving market demands hav

18、e exposed the limitations of Industry 4.0.Businesses are now compelled to shift toward Industry 5.0 to address the types of challenges facing PrecisionMotive and take advantage of new business opportunities.Industry 5.0 builds upon the foundations of its predecessor by fostering a symbiotic relation

19、ship between humans and machines.It integrates advanced technologies like Gen AI,robotics,and digital twins with human creativity,critical thinking,and problem-solving skills.This transition is not merely about technological upgrades,but also about increasing human capabilities and enhancing manufac

20、turing agility,resilience,and sustainability.Industry 5.0 aims to create intelligent,more adaptive manufacturing ecosystems that respond to disruptions and changes in real time.It emphasizes the importance of human-centric automation,where technology empowers workers rather than replaces them.Accord

21、ing to a 2024 global study conducted by Forrester Consulting commissioned by SoftServe Where Is Generative AIs Transformational Value Hiding?the manufacturing sector,along with other industries,is confronted by a critical shortage of skilled labor.Businesses urgently need to adopt Industry 5.0 princ

22、iples to close the skill gap,enhance workforce capabilities,and ensure long-term competitiveness.At the heart of manufacturing 5.0 is the harmonious blend of human intelligence with advanced technological modules.Combined with human creativity,AI capabilities,including Gen AI,implement:Prediction an

23、d forecasting.Data analytics to predict market trends and demand fluctuations.Computer vision.Stronger quality control and inspection processes through advanced image recognition.ReportGenerative AI Trends in Manufacturing6In addition,Industry 5.0 focuses on alleviating several critical challenges t

24、hat have long plagued manufacturing.Consider:Predictive capabilities.Advanced Gen AI algorithms enable predictive maintenance and demand forecasting,reducing downtime and optimizing production schedules.Advanced trend monitoring.Real-time data analytics allow manufacturers to monitor market trends a

25、nd proactively adjust strategies.Rapidly changing market demands.5.0s adaptive systems swiftly respond to market shifts,warranting production aligns with consumer needs.Supply chain disruptions.Autonomous supply chain management mitigates the risk of disruptions,strengthening overall resilience.Manu

26、facturing agility.The ability to quickly reconfigure production lines and processes guarantees manufacturers meet diverse and evolving customer requirements.Growing maintenance costs.Predictive maintenance powered by Gen AI reduces the frequency and cost of equipment failures,extending the lifespan

27、of machinery and infrastructure.Classification and detection.Improved sorting and detection systems.New content generation.Innovative design and product development through Gen AI-driven insights.Enhanced decision-making.Better business decisions through advanced analytics.Optimization.Streamlined p

28、roduction processes to maximize efficiency and reduce waste.ReportGenerative AI Trends in Manufacturing7CURRENT STATE OF GEN AI IN MANUFACTURINGThe global study conducted by Forrester Consulting provides a comprehensive overview of the expectations versus the current value provided by Gen AI in the

29、manufacturing sector.More than 750 decision-makers from across various industries,including manufacturing,were surveyed.While many organizations expected significant benefits from Gen AI,such as improved operational effectiveness,the reality often fell short of these expectations.According to the Fo

30、rrester Consulting study commissioned by SoftServe,more than half of industry leaders see Gen AI as a strategic business asset.Yet only 22%of respondents,including those in manufacturing,say they have unlocked its value across their organizations.The primary reason for this is the proverbial“hammer

31、in search of a nail”syndrome.Like many leaders in other industries,manufacturing executives have experimented with too many use cases across too many functions,spreading thin their available resources and delivering underwhelming results.Instead,manufacturers must look for business use cases that Ge

32、n AI is best equipped to address,then marshal teams to figure out where the most value is found.One of the most pressing issues found in the study is the gap in data readiness.According to the study,89%of respondents struggle to prepare business data.Many manufacturers struggle with fragmented and s

33、iloed data,which hampers the effectiveness of Gen AI algorithms.Additionally,there are significant challenges related to data governance,including data quality,security,and compliance.A mere 32%of manufacturers who responded to the survey have rolled out a governance policy,and 75%or more face chall

34、enges around Gen AI understanding,soft skills and inclinations,hard skills and training,and ethics,risk,and privacy awareness.Without robust data governance frameworks,organizations find it difficult to use Gen AI to its full potential.ReportGenerative AI Trends in Manufacturing8The study also says

35、that 46%of manufacturing organizations train Gen AI models on their own data a critical capability for maximizing value.To wit,ServiceTrades implementation of retrieval-augmented generation(RAG),using Amazon Bedrock to efficiently summarize equipment service history and extract maintenance schedules

36、,shows how applying enterprise data significantly improves operational effectiveness.This aligns with the studys emphasis on data readiness and highlights how organizations will unlock greater Gen AI value by effectively using their own data.Moreover,there is a notable deficiency in technical skills

37、 within the manufacturing workforce.The study highlights a significant talent gap in the manufacturing industry,particularly in the areas of Gen AI and data science.This gap often stalls the implementation and scaling of Gen AI programs,leading to delayed benefits and suboptimal outcomes.To address

38、this contention,manufacturing organizations increasingly turn to technology partners and Gen AI experts.The realization of benefits from Gen AI programs depends on persuasive execution and continuous optimization.The study notes that organizations with strong technology partnerships are more likely

39、to achieve successful outcomes.Continentals development of virtual factory solutions,in collaboration with SoftServe,for example,displays the transformative impact of Gen AI on specific industry challenges.Continentals ContiVerse and SoftServes Gen AI Industrial Assistant address unique challenges i

40、n the automotive industry,such as shorter development cycles and increased time-to-market pressures.This proves how customized Gen AI applications drive significant business value.ReportGenerative AI Trends in Manufacturing9PART 2:TRANSFORMATION WITH INDUSTRY 5.0 AND GEN AILets step forward in time

41、to see how Emma and PrecisionMotive have progressed in the transformation to Industry 5.0 and the use of Gen AI.Its 2030.Emma and her team will soon realize that the journey with Industry 5.0 and implementation of Gen AI-powered systems is not without its hurdles.They will discover that while they w

42、ill have the necessary technology and infrastructure,unlocking its full potential is arduous work.The organization has spent the past six years transforming itself into a modern manufacturer.It addressed challenges along the way.Automating and simplifying processes allow Emmas employees to focus on

43、more strategic,complex tasks,which produces better business results and enhances their job satisfaction.The integration of innovative technologies will provide real-time data analytics,predictive maintenance,and streamlined production processes.RIGHTLY THINK ABOUT GEN AITo be clear,Gen AI is not a s

44、olution.It is a technology enabler that,when integrated into current workflows and tasks,will radically improve how work gets done.For example,consider the story of a manufacturer that received a Gen AI-driven prediction about a critical machine likely to soon fail.With an exact and valuable notific

45、ation,using a solution such as SoftServes Gen AI Industrial Assistant,improves the manufacturing operators skills to quickly identify and address the impending issue.This scenario underscores the importance of integrating Gen AI with existing systems and processes to augment human decision-making,st

46、reamline operations,and offer actionable insights that drive efficiency and innovation.A comprehensive integration within existing workflows will deliver on its desired value.For manufacturers,think of Gen AI as a powerful enabler of intelligent,adaptive,and autonomous manufacturing ecosystems.In th

47、e SoftServe example,the Gen AI Industrial Assistant streamlines the navigation of equipment manuals,speeds troubleshooting,and simplifies maintenance tasks.These improvements will guarantee confident technical knowledge transfer during onboarding,backups,or change management.ReportGenerative AI Tren

48、ds in Manufacturing10It has been said that 2023 was the year of Gen AI experimentation;2024 is the year of production.The successful implementation of Gen AI technology in manufacturing begins with a crucial and thorough assessment of organizational readiness across three key dimensions:People,proce

49、ss,and technology.It all begins with understanding the business use cases that will drive the most value in the shortest period.Understanding the specific problems an organization faces is the first step in this journey.Before diving into Gen AI solutions,find the pain points and opportunities withi

50、n current operations.This clarity will guide the strategic application of Gen AI to effectively undertake these challenges.Equally important is the recognition and use of curated data across the enterprise.Data is the lifeblood,and a structured,clean,and well-curated database is essential.This means

51、 a breakdown of data silos,a promise of data quality,and strong data governance practices.A comprehensive data strategy ensures that Gen AI models have access to accurate and relevant information needed to generate actionable insights.In most cases,however,Gen AI project timelines are delayed due to

52、 inadequate technical expertise and project management skills.A partnership with a trusted provider with both deep technical and industry ability significantly speeds up the implementation process.These partners bring proven frameworks,tools,and best practices that streamline deployment and reduce t

53、ime-to-value.ACTIONS TO IMPLEMENT YOUR GEN AI STRATEGYReportGenerative AI Trends in Manufacturing11For manufacturing organizations looking to establish a new partnership with a technology partner and Gen AI expert,the Forrester Consulting global study offers these key insights:Create ROI and organiz

54、ational impact models that will be revisited and updated over time.This will allow you to assess value and understand your organizations changing needs and appetites more accurately.Understand the data preparation you will need to do when selecting Gen AI use cases that will produce value.Through a

55、comprehensive strategy,develop the skills end users will need to use Gen AI applications.It will also help your developers and data scientists build these applications.Select partners with a proven record of accomplishment in the manufacturing sector.Industry-specific knowledge ensures that Gen AI s

56、olutions are customized to address your unique challenges and opportunities.Seek partners that offer you end-to-end support,from first assessment and strategy development to implementation and ongoing optimization.Choose partners that prioritize knowledge transfer and skill development.Collaborative

57、 partnerships empower your internal teams to gradually take ownership of Gen AI initiatives,securing long-term sustainability.Confirm that the partners solutions are scalable and adaptable to your evolving business needs.Flexible Gen AI frameworks allow for seamless integration with existing systems

58、 and future expansion.GET DEEP INDUSTRY EXPERIENCEReportGenerative AI Trends in Manufacturing12PART 3:TRANSFORMATION WITH INDUSTRY 5.0 AND GEN AIWrapping up with Emma and PrecisionMotive,its transformation journey serves as an example of what is possible through Industry 5.0 and Gen AI.Real-world ex

59、amples also highlight the importance of adopting innovative technologies,fostering a culture of continuous improvement and collaboration,and addressing challenges head-on.While not easy,early success suggests that the upside potential greatly outweighs the downside of delay.ReportGenerative AI Trend

60、s in Manufacturing13APPENDICESFURTHER READING AND RELEVANT STUDIES Industry 5.0,the Factory Floor,and Reality Where Is Generative AIs Transformational Value Hiding?Four Adoption Patterns for Your Enterprise Master Gen AI Value:Accelerate Pilot Projects to Production Scale ServiceTrades Customers Fie

61、ld Technicians Save Time on Equipment Service History Review With AWS and Gen AI Unraveling Customer Sentiments and Faster Insights With AWS and SoftServe Spotlight:Continental and SoftServe Deliver Generative AI-Powered Virtual Factory Solutions With OpenUSD Support Your Workers With SoftServe Gen

62、AI Industrial AssistantNORTH AMERICAN HQ201 W.5th Street,Suite 1550 Austin,TX 78701+1 866 687 3588(USA)+1 647 948 7638(Canada)EUROPEAN HQ30 Cannon StreetLondon EC4 6XHUnited Kingdom+44 333 006 4341 ABOUT USSoftServe is a premier IT consulting and digital services provider.We expand the horizon of ne

63、w technologies to solve todays complex business challenges and achieve meaningful outcomes for our clients.Our boundless curiosity drives us to explore and reimagine the art of the possible.Clients confidently rely on SoftServe to architect and execute mature and innovative capabilities,such as digi

64、tal engineering,data and analytics,cloud,and AI/ML.Our global reputation is gained from more than 30 years of experience delivering superior digital solutions at exceptional speed by top-tier engineering talent to enterprise industries,including high tech,financial services,healthcare,life sciences,retail,energy,and manufacturing.Visit our website,blog,LinkedIn,Facebook,and X(Twitter)pages for more information.