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This document discusses using predictive maintenance technology to monitor refrigeration equipment. It outlines problems with current reactive maintenance approaches, and proposes a solution using sensors and artificial intelligence to identify issues before failures occur. This saves on maintenance costs by allowing issues to be addressed proactively. The company has experience monitoring hundreds of sites and billions of sensor readings to train their AI model. They propose expanding their predictive maintenance services for refrigeration and HVAC equipment in the UK market, with plans to generate millions in annual revenue and invest further to grow the business.
The document discusses Industry 4.0 and how it will fundamentally change manufacturing through increasing consumer demands, the need for sustainable production, and deployment of smart manufacturing technologies. It notes that vertical and horizontal integration of IT systems will be required and will lead to new business models. Customers share concerns about system complexity, maintenance, security, and transparency that an integrated approach can help address.
1. Engineering and design are critical factors that can make or break a solar project. Good design can result in 3 lakh kWh more output annually.
2. Technology should be selected based on location and site conditions, as more expensive options do not necessarily mean better output.
3. Nearly 70% of projects are underperforming due to lack of pre-project evaluation of site conditions and development of a feasibility report.
4. Financial modeling of costs, expenses, and financing is important for project success and different models should be considered.
5. Legal contracts like EPC and PPA can face challenges years later without input from domain experts during drafting.
Video Inspection Manufacturing Solutions | MobiloitteMobiloitte
Manufacturer now wants to track the usage of their product directly from consumer and improve future variants. And to achieve this the complete value chain to be connected – supplier, manufacturer, logistics, warehouse, retailer and end customer.
To know more visit on: https://tinyurl.com/y88mnwg6
-VISIT US-
website: www.mobiloitte.com
Subscribe to our youtube channel: https://tinyurl.com/ya5x6snb
Electro8 is an organization established in 2010 that focuses on research and development for industrial needs, particularly in embedded systems. It has a team of 14 members divided into groups focusing on R&D, technical development, product integration, and resource management. Electro8 works with industries like automotive, biomedical, power, communications, industrial automation, defense, and instrumentation to provide technological solutions that meet industrial standards and productivity needs through customization and cost-effective products. It aims to address technological needs in a desired manner according to specified standards.
Paul Whittles is an experienced project manager, validation specialist, and chartered IT professional. He has extensive experience delivering large, technically demanding projects for customers globally. His skills include strong communication developed from working with diverse customers, excellent project delivery, and ensuring quality and regulatory compliance. He has managed various projects involving infrastructure changes, application development, business transformation, and more for companies such as AstraZeneca, Shell, and British Telecom.
This document discusses using predictive maintenance technology to monitor refrigeration equipment. It outlines problems with current reactive maintenance approaches, and proposes a solution using sensors and artificial intelligence to identify issues before failures occur. This saves on maintenance costs by allowing issues to be addressed proactively. The company has experience monitoring hundreds of sites and billions of sensor readings to train their AI model. They propose expanding their predictive maintenance services for refrigeration and HVAC equipment in the UK market, with plans to generate millions in annual revenue and invest further to grow the business.
The document discusses Industry 4.0 and how it will fundamentally change manufacturing through increasing consumer demands, the need for sustainable production, and deployment of smart manufacturing technologies. It notes that vertical and horizontal integration of IT systems will be required and will lead to new business models. Customers share concerns about system complexity, maintenance, security, and transparency that an integrated approach can help address.
1. Engineering and design are critical factors that can make or break a solar project. Good design can result in 3 lakh kWh more output annually.
2. Technology should be selected based on location and site conditions, as more expensive options do not necessarily mean better output.
3. Nearly 70% of projects are underperforming due to lack of pre-project evaluation of site conditions and development of a feasibility report.
4. Financial modeling of costs, expenses, and financing is important for project success and different models should be considered.
5. Legal contracts like EPC and PPA can face challenges years later without input from domain experts during drafting.
Video Inspection Manufacturing Solutions | MobiloitteMobiloitte
Manufacturer now wants to track the usage of their product directly from consumer and improve future variants. And to achieve this the complete value chain to be connected – supplier, manufacturer, logistics, warehouse, retailer and end customer.
To know more visit on: https://tinyurl.com/y88mnwg6
-VISIT US-
website: www.mobiloitte.com
Subscribe to our youtube channel: https://tinyurl.com/ya5x6snb
Electro8 is an organization established in 2010 that focuses on research and development for industrial needs, particularly in embedded systems. It has a team of 14 members divided into groups focusing on R&D, technical development, product integration, and resource management. Electro8 works with industries like automotive, biomedical, power, communications, industrial automation, defense, and instrumentation to provide technological solutions that meet industrial standards and productivity needs through customization and cost-effective products. It aims to address technological needs in a desired manner according to specified standards.
Paul Whittles is an experienced project manager, validation specialist, and chartered IT professional. He has extensive experience delivering large, technically demanding projects for customers globally. His skills include strong communication developed from working with diverse customers, excellent project delivery, and ensuring quality and regulatory compliance. He has managed various projects involving infrastructure changes, application development, business transformation, and more for companies such as AstraZeneca, Shell, and British Telecom.
Sagentia is an outsourced R&D consulting firm with 25 years of experience in product development for medical, consumer, and industrial sectors. They take projects from concept through manufacturing using a multi-disciplinary team approach and work with startups to large companies. Sagentia's core capabilities include all stages of innovation from market analysis and voice of customer research through prototyping and manufacturing transfer.
The document outlines several case studies and uses of Advanced Technology Innovations' services, including providing expertise in areas like controlled environment agriculture, identifying opportunities for new materials, and sourcing co-manufacturers and consultants to meet clients' production and packaging needs. It also describes technology alert services and competitive intelligence research ATI has conducted for clients in various industries.
Bill curtis Beyond process - a challenge for SEPGsSPIN Chennai
This document discusses the progression of software engineering approaches over 5 waves from programming languages to automation. It introduces CISQ's work to automate software measurement standards for effort, size, quality, and technical debt. CISQ aims to industrialize measurement to enable Level 4 optimization by identifying quality "hotspots". The document promotes a Trustworthy Systems Manifesto of engineering discipline, quality assurance, traceability, proactive defense, and resilience.
CoDel Analytics was founded in 2017 to digitize operational compliance checks in the food industry. Their solution, CoDel Assistant, is a SaaS app and web portal that allows food businesses to digitally manage daily, weekly, and monthly food safety checks and audits. It aims to replace manual paper processes and poorly designed legacy systems. CoDel Assistant is designed to integrate compliance checks into staff's daily work routines while providing managers with reports and oversight to focus on customers. The app works offline, logs all checks and incidents, and stores business data securely for three years of auditing and reporting.
Infosys agile scale_hyper_prod_platformsSPIN Chennai
This document summarizes an agenda for a talk on agile transformation at scale and intelligent automation platforms for hyper productivity. The talk discusses how agile practices can help businesses accelerate feature releases, boost innovation success rates, enhance customer experience, respond quickly to changes, and reduce risks. It then outlines Infosys' distributed agile and DevOps adoption framework which includes assessing readiness, defining a strategy, implementing across the organization, and scaling practices. The talk argues that agility is shifting focus to innovation and that hyper productivity is achieved through cycle time, business value, and platforms. It promotes Infosys' open source DevOps platform and migration platform for moving applications to new technologies and frameworks.
Better Bioprocessing Efficiency Through Centralized OrchestrationMilliporeSigma
Use this link to participate in the interactive on-demand webinar: http://bit.ly/Bio4COrchestrator
Detailed description:
In this talk, we discuss how orchestration software improves bioprocessing efficiency through the centralized configuration and management of connected unit operations for process and workflow automation across the plant floor.
A browser-based software solution, Bio4C™ Orchestrator software connects to individual unit operations from a centralized orchestration layer for remote access to systems, recipes, reports, user accounts and alarms from a holistic process dashboard.
This document describes AR Produkt, an industrial analytics and augmented reality platform. It consists of 6 modules that combine data analytics with AR technology. The modules include asset analytics, process analytics, process workflow management, an AR authoring tool, remote support, and performance reporting. Some key benefits of AR Produkt include labor cost reductions, reduced downtime, improved first-time diagnosis rates, and increased production efficiency. The platform brings together data from IoT, sensors, and other systems to provide insights through visualization, automation, and real-time monitoring via AR interfaces.
We’re in the midst of a significant transformation regarding the way we produce products thanks to the digitization of manufacturing. This compelling transition is called Industry 4.0 – which is a representation of the fourth revolution that has occurred in manufacturing. Like the three industrial revolutions which preceded it – steam power, mass production/electricity, digital age – Industry 4.0 will transform local and global economies and create a new future for us all.
In 2012, The Economist claimed we were entering the third industrial revolution based on the digitization of manufacturing, also referred to as the “smart factory.” The development and adoption of the Internet of Things is a critical element of smart manufacturing as reduced sensor device cost, and increased connectivity and in-memory processing give manufacturers the ability to gather and use data to increase product quality and transform operations. IT organizations are increasingly involved with the management, security and governance of this data as equipment and products are connected to the internet. This session will provide a practical framework for evaluating ways to improve sensor enablement, transaction processes and analytics based on real-world customer examples.
Industry 4.0 refers to the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems that can monitor physical processes, connect machines, equipment and systems, and make decentralized decisions. Key components of Industry 4.0 include the internet of things, cybersecurity, cloud computing, cognitive computing and artificial intelligence. The objectives of Industry 4.0 are to enhance flexibility in manufacturing, enable customized mass production, and create what are called "smart factories" that can automatically respond to changing conditions.
Understanding Industry 4.0:
Key Technologies
1. Internet of Things (IoT)
2. Big Data and Analytics
3. Artificial Intelligence (AI) and Machine Learning
Impact on the Factory Floor
1. Enhanced Efficiency
2. Improved Quality Control
3. Predictive Maintenance
Let’s explore more on Top 7 Things to Know About Smart Manufacturing:
1. Smart Manufacturing Enhances Efficiency
2. Cost Reduction and Resource Optimization
3. Quality Improvement
Infosys' session on IoT World - Systems Integration in an IOT world: A practi...Infosys
The installed base of IOT products is growing exponentially along with its economic impact. Innovators are seeking a new generation of technology solutions that will help them create, operate and maintain smart connected products. It is a system of systems world that is complex, heterogeneous with a mix of incompatible, non-standard, multi-vendor, smart & not-so smart, connected and not-connected products that generate incredible amounts of data to be analyzed for insight and value. In this presentation, Jayraj Nair, AVP and Head of IoT, Infosys Engineering Services will share his experience’s building real world IOT solutions, innovative ways in which a system integrator can enable the integration between the physical and digital worlds and accelerate the adoption of Internet of Things.
The impact of the digital transformation on industry: be prepared and re-invent the future of your organization through innovative operational excellence and new growth platforms. Get inspired by insights on the opportunities and examples of implementation.
The document discusses Industry 4.0, which refers to the digitalization of the manufacturing industry through technologies like cyber-physical systems, the Internet of Things, cloud computing, and cognitive computing. It provides definitions of Industry 4.0 and describes how it will integrate automated machines, storage systems, and factory equipment enabled by technologies like touch interfaces and augmented reality. The document then discusses how Industry 4.0 will impact manufacturing in India and the challenges and opportunities it presents for Indian companies.
This document discusses Industry 4.0 and smart manufacturing. It describes how Industry 4.0 involves integrating smart devices, turning products into smart products, and transforming factories into smart, connected factories. Key aspects of Industry 4.0 include products being described by models and having standardized network interfaces. The document outlines benefits of Industry 4.0 such as helping companies keep production in countries like India and compete globally through more efficient, customized production. Barriers and enablers to smart manufacturing are also presented, such as integrating customer data and demand across supply chains.
Cisco's Connected Factory portfolio integrates factory automation systems and enterprise systems onto a single IP network. It allows manufacturers to remotely monitor equipment, predict maintenance needs, manage energy use in real-time, and securely connect devices. The latest addition is Factory Wireless, which provides a unified wireless solution for industrial IT applications. Connected Factory helps manufacturers increase flexibility and productivity, reduce downtime, and securely scale production facilities.
Miguel Angel Perdiguero - Head of BIG data & analytics Atos Iberia - semanain...COIICV
This document discusses Industry 4.0 and the digital transformation of industry. It describes key technological pillars like the Internet of Things, additive manufacturing, and data analytics. It provides examples of how these technologies can be applied through predictive maintenance and customized products. The document also introduces Atos Codex, an open industrial analytics platform that uses big data, high performance computing, and machine learning to deliver business insights and solutions.
To enable industrial companies to identify startups that can emerge as capable technology partners for the long term, we have compiled a catalogue of Industrial Deep Tech startups from the Forge Portfolio, to serve as a valuable resource.
Startups in the Forge Portfolio categorised under Industrial Deep Tech address manufacturing as a sector - apart from other core industrial sectors such as power, energy, resources, transportation, logistics, defence, aerospace, space etc. These startups are broadly categorised under Digital Technology (DT) and Operations Technology (OT).
Digital Technology addresses process innovations augmenting capabilities in the areas of digitisation, digitalisation, automation (robotics), analytics, autonomy, and intelligence. Operations Technology relates to innovations in the areas of design (product engineering services), materials (carbon composites), production & processing (additive manufacturing suppliers for new end product categories that traditional fabrication factories don't serve), and business models (manufacturing aggregator platform etc.).
This catalogue of 20 Industrial Tech startups is further organized into 7 Industrial Digital Transformation Themes which are further split into 11 sub-themes - that broadly outline operational capabilities, emerging/futuristic technology domains, or product categories in specific market segments that help organise and prioritise the various opportunities for value creation by industrial companies.
SAP S/4HANA Enterprise Management provides the lean digital core that serves as a foundation for business innovation and optimisation, enabling the enterprise to start the digital journey in line with its individual benefits/risk profile.
The document discusses Industry 4.0 and its opportunities and challenges. It begins with defining Industry 4.0 as the digitization of manufacturing and integration of smart technology into industrial processes. It then outlines some of the main opportunities of Industry 4.0, including economic and business growth opportunities as well as new career opportunities in fields like engineering, data science, and IT. However, the document also notes challenges in ensuring cybersecurity, integrating legacy systems, developing new workforce skills, and establishing reliable communication networks. In conclusion, Industry 4.0 has the potential to significantly change business models and optimization through increased automation and data-driven processes.
Sagentia is an outsourced R&D consulting firm with 25 years of experience in product development for medical, consumer, and industrial sectors. They take projects from concept through manufacturing using a multi-disciplinary team approach and work with startups to large companies. Sagentia's core capabilities include all stages of innovation from market analysis and voice of customer research through prototyping and manufacturing transfer.
The document outlines several case studies and uses of Advanced Technology Innovations' services, including providing expertise in areas like controlled environment agriculture, identifying opportunities for new materials, and sourcing co-manufacturers and consultants to meet clients' production and packaging needs. It also describes technology alert services and competitive intelligence research ATI has conducted for clients in various industries.
Bill curtis Beyond process - a challenge for SEPGsSPIN Chennai
This document discusses the progression of software engineering approaches over 5 waves from programming languages to automation. It introduces CISQ's work to automate software measurement standards for effort, size, quality, and technical debt. CISQ aims to industrialize measurement to enable Level 4 optimization by identifying quality "hotspots". The document promotes a Trustworthy Systems Manifesto of engineering discipline, quality assurance, traceability, proactive defense, and resilience.
CoDel Analytics was founded in 2017 to digitize operational compliance checks in the food industry. Their solution, CoDel Assistant, is a SaaS app and web portal that allows food businesses to digitally manage daily, weekly, and monthly food safety checks and audits. It aims to replace manual paper processes and poorly designed legacy systems. CoDel Assistant is designed to integrate compliance checks into staff's daily work routines while providing managers with reports and oversight to focus on customers. The app works offline, logs all checks and incidents, and stores business data securely for three years of auditing and reporting.
Infosys agile scale_hyper_prod_platformsSPIN Chennai
This document summarizes an agenda for a talk on agile transformation at scale and intelligent automation platforms for hyper productivity. The talk discusses how agile practices can help businesses accelerate feature releases, boost innovation success rates, enhance customer experience, respond quickly to changes, and reduce risks. It then outlines Infosys' distributed agile and DevOps adoption framework which includes assessing readiness, defining a strategy, implementing across the organization, and scaling practices. The talk argues that agility is shifting focus to innovation and that hyper productivity is achieved through cycle time, business value, and platforms. It promotes Infosys' open source DevOps platform and migration platform for moving applications to new technologies and frameworks.
Better Bioprocessing Efficiency Through Centralized OrchestrationMilliporeSigma
Use this link to participate in the interactive on-demand webinar: http://bit.ly/Bio4COrchestrator
Detailed description:
In this talk, we discuss how orchestration software improves bioprocessing efficiency through the centralized configuration and management of connected unit operations for process and workflow automation across the plant floor.
A browser-based software solution, Bio4C™ Orchestrator software connects to individual unit operations from a centralized orchestration layer for remote access to systems, recipes, reports, user accounts and alarms from a holistic process dashboard.
This document describes AR Produkt, an industrial analytics and augmented reality platform. It consists of 6 modules that combine data analytics with AR technology. The modules include asset analytics, process analytics, process workflow management, an AR authoring tool, remote support, and performance reporting. Some key benefits of AR Produkt include labor cost reductions, reduced downtime, improved first-time diagnosis rates, and increased production efficiency. The platform brings together data from IoT, sensors, and other systems to provide insights through visualization, automation, and real-time monitoring via AR interfaces.
We’re in the midst of a significant transformation regarding the way we produce products thanks to the digitization of manufacturing. This compelling transition is called Industry 4.0 – which is a representation of the fourth revolution that has occurred in manufacturing. Like the three industrial revolutions which preceded it – steam power, mass production/electricity, digital age – Industry 4.0 will transform local and global economies and create a new future for us all.
In 2012, The Economist claimed we were entering the third industrial revolution based on the digitization of manufacturing, also referred to as the “smart factory.” The development and adoption of the Internet of Things is a critical element of smart manufacturing as reduced sensor device cost, and increased connectivity and in-memory processing give manufacturers the ability to gather and use data to increase product quality and transform operations. IT organizations are increasingly involved with the management, security and governance of this data as equipment and products are connected to the internet. This session will provide a practical framework for evaluating ways to improve sensor enablement, transaction processes and analytics based on real-world customer examples.
Industry 4.0 refers to the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems that can monitor physical processes, connect machines, equipment and systems, and make decentralized decisions. Key components of Industry 4.0 include the internet of things, cybersecurity, cloud computing, cognitive computing and artificial intelligence. The objectives of Industry 4.0 are to enhance flexibility in manufacturing, enable customized mass production, and create what are called "smart factories" that can automatically respond to changing conditions.
Understanding Industry 4.0:
Key Technologies
1. Internet of Things (IoT)
2. Big Data and Analytics
3. Artificial Intelligence (AI) and Machine Learning
Impact on the Factory Floor
1. Enhanced Efficiency
2. Improved Quality Control
3. Predictive Maintenance
Let’s explore more on Top 7 Things to Know About Smart Manufacturing:
1. Smart Manufacturing Enhances Efficiency
2. Cost Reduction and Resource Optimization
3. Quality Improvement
Infosys' session on IoT World - Systems Integration in an IOT world: A practi...Infosys
The installed base of IOT products is growing exponentially along with its economic impact. Innovators are seeking a new generation of technology solutions that will help them create, operate and maintain smart connected products. It is a system of systems world that is complex, heterogeneous with a mix of incompatible, non-standard, multi-vendor, smart & not-so smart, connected and not-connected products that generate incredible amounts of data to be analyzed for insight and value. In this presentation, Jayraj Nair, AVP and Head of IoT, Infosys Engineering Services will share his experience’s building real world IOT solutions, innovative ways in which a system integrator can enable the integration between the physical and digital worlds and accelerate the adoption of Internet of Things.
The impact of the digital transformation on industry: be prepared and re-invent the future of your organization through innovative operational excellence and new growth platforms. Get inspired by insights on the opportunities and examples of implementation.
The document discusses Industry 4.0, which refers to the digitalization of the manufacturing industry through technologies like cyber-physical systems, the Internet of Things, cloud computing, and cognitive computing. It provides definitions of Industry 4.0 and describes how it will integrate automated machines, storage systems, and factory equipment enabled by technologies like touch interfaces and augmented reality. The document then discusses how Industry 4.0 will impact manufacturing in India and the challenges and opportunities it presents for Indian companies.
This document discusses Industry 4.0 and smart manufacturing. It describes how Industry 4.0 involves integrating smart devices, turning products into smart products, and transforming factories into smart, connected factories. Key aspects of Industry 4.0 include products being described by models and having standardized network interfaces. The document outlines benefits of Industry 4.0 such as helping companies keep production in countries like India and compete globally through more efficient, customized production. Barriers and enablers to smart manufacturing are also presented, such as integrating customer data and demand across supply chains.
Cisco's Connected Factory portfolio integrates factory automation systems and enterprise systems onto a single IP network. It allows manufacturers to remotely monitor equipment, predict maintenance needs, manage energy use in real-time, and securely connect devices. The latest addition is Factory Wireless, which provides a unified wireless solution for industrial IT applications. Connected Factory helps manufacturers increase flexibility and productivity, reduce downtime, and securely scale production facilities.
Miguel Angel Perdiguero - Head of BIG data & analytics Atos Iberia - semanain...COIICV
This document discusses Industry 4.0 and the digital transformation of industry. It describes key technological pillars like the Internet of Things, additive manufacturing, and data analytics. It provides examples of how these technologies can be applied through predictive maintenance and customized products. The document also introduces Atos Codex, an open industrial analytics platform that uses big data, high performance computing, and machine learning to deliver business insights and solutions.
To enable industrial companies to identify startups that can emerge as capable technology partners for the long term, we have compiled a catalogue of Industrial Deep Tech startups from the Forge Portfolio, to serve as a valuable resource.
Startups in the Forge Portfolio categorised under Industrial Deep Tech address manufacturing as a sector - apart from other core industrial sectors such as power, energy, resources, transportation, logistics, defence, aerospace, space etc. These startups are broadly categorised under Digital Technology (DT) and Operations Technology (OT).
Digital Technology addresses process innovations augmenting capabilities in the areas of digitisation, digitalisation, automation (robotics), analytics, autonomy, and intelligence. Operations Technology relates to innovations in the areas of design (product engineering services), materials (carbon composites), production & processing (additive manufacturing suppliers for new end product categories that traditional fabrication factories don't serve), and business models (manufacturing aggregator platform etc.).
This catalogue of 20 Industrial Tech startups is further organized into 7 Industrial Digital Transformation Themes which are further split into 11 sub-themes - that broadly outline operational capabilities, emerging/futuristic technology domains, or product categories in specific market segments that help organise and prioritise the various opportunities for value creation by industrial companies.
SAP S/4HANA Enterprise Management provides the lean digital core that serves as a foundation for business innovation and optimisation, enabling the enterprise to start the digital journey in line with its individual benefits/risk profile.
The document discusses Industry 4.0 and its opportunities and challenges. It begins with defining Industry 4.0 as the digitization of manufacturing and integration of smart technology into industrial processes. It then outlines some of the main opportunities of Industry 4.0, including economic and business growth opportunities as well as new career opportunities in fields like engineering, data science, and IT. However, the document also notes challenges in ensuring cybersecurity, integrating legacy systems, developing new workforce skills, and establishing reliable communication networks. In conclusion, Industry 4.0 has the potential to significantly change business models and optimization through increased automation and data-driven processes.
The Next Wave of Manufacturing Relies on Plant Operations TransformationCognizant
To enable agility, predictability, responsiveness and efficiency, manufacturers must think holistically about their factories and develop integrated and harmonized capabilities that connect the supply chain with a new product introduction value stream.
Industry 4.0 Walk Through - Accialini Training & ConsultingNicola Accialini
Accialini Training & Consulting provides support in Industry 4.0. Please visit our website www.accialiniconsulting.com or send us an email at info@accialiniconsulting.com for additional info.
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In 2017, the World Economic Forum recognized the potential of advanced manufacturing technologies. In 2018, from among more than 1,000 examined production facilities, 16
companies were recognized as Fourth Industrial Revolution leaders in advanced manufacturing for demonstrating step-change results, both operational and financial, across individual sites. They had succeeded in scaling beyond the pilot phase and their sites were designated advanced manufacturing “Lighthouses”. In 2019, 28 additional facilities were identified and added to the network, which now provides an opportunity for cross-company learning and collaboration, and for setting new benchmarks for the global manufacturing community.
Lighthouses have succeeded by innovating new operating systems, including in how they manage and optimize business and processes, transforming the way people work and use technology. These new operating systems can become the blueprint for modernizing the entire company operating system; therefore, how they prepare for scaling up and engaging the workforce matters.
The over view of Industry 4.0 which is also known as fourth industrial revolution or smart factory, with the combination of advanced technologies like IoT, automation, cloud computing , edge computing, analytics and artificial intelligence
Similar to A*STAR’s Model Factory in a Nutshell (20)
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
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International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Generative AI leverages algorithms to create various forms of content
A*STAR’s Model Factory in a Nutshell
1. A STAR’s Model Factory in a Nutshell
A ‘live’ production
environment for
companies to
learn, experience
and experiment
with advanced
manufacturing
technologies.
6. Timely Response
On-the-go smart
decision support
enables prompt
responses.
New Insights
Real time data and
advanced analytics
provide valuable insights
such as live status of
incomplete orders.
8. 1. Centralised Control Rooms:
Seeing Around Corners
Dashboard that uses
smart IoT technologies to
collect, integrate, analyse and
display data in a meaningful way.