Video at: https://www.linkedin.com/video/live/urn:li:ugcPost:6705141260845412352/
In this talk, we will review some of the challenges related to Industry 4.0 or Factory of Future, and how can Artificial Intelligence help address them.
Examples include the use of semantic interoperability and integration to support the use of sensor collected data in decision making, the use of computer vision to identify deviations in the process and manage quality, and the use of predictive algorithms for device maintenance.
Part of neXt live series hosted by Prof. Ramy Harik: https://www.linkedin.com/pulse/next-live-fall-2020-ramy-harik/
Video at: https://www.linkedin.com/video/live/urn:li:ugcPost:6705141260845412352/
In this talk, we will review some of the challenges related to Industry 4.0 or Factory of Future, and how can Artificial Intelligence help address them.
Examples include the use of semantic interoperability and integration to support the use of sensor collected data in decision making, the use of computer vision to identify deviations in the process and manage quality, and the use of predictive algorithms for device maintenance.
This presentation was made on June 11, 2020.
Recording from the presentation can be viewed here: https://youtu.be/02Gb062U_M4
The manufacturing industry is adopting artificial intelligence (AI) at a fast rate. This century-old industry is complex but has seen constant transformation across all of its facets.
Led by big data analytics, miniaturization of sensors enabling the Internet of Things (IoT), and, now, AI machine learning (ML), manufacturers everywhere have embarked on an AI transformation that is opening up potential new revenue streams as well taking costs and time out of existing processes.
This talk will walk through a use case for enterprise AI solutions within the manufacturing sector. We will discuss the challenges, motivation, and tool selection process, then cover the solution development in detail.
Speaker Bio:
eRic is armed with the technical know-how of Data Science, Machines Learning, and Big Data Analytics. He. is equipped with skill-sets to value-add businesses exploring into areas of Artificial Intelligence (AI) with an AI consultation approach. Translating BDA, Machine Learning, and AI into Business Values.
eRic CHOO had spent the last 8 years in the IT industry from integration of Infrastructure (Storage and Back-up) solutions to Advance Analytics Software specializing in BDA, Machines Learning, and AI. Before joining the IT industry, he had vast experience in the Semiconductor industry, thus a deep understanding in advance manufacturing processes.
SIONG Jong Hang works as a Solutions Engineer/Data Scientist at H2O.ai based in Singapore where he helps business, government, academia, and non-profit organizations in their transformation into AI. Prior to H2O.ai, he has worked at the Quant Group at Bank of America Merrill Lynch in Hong Kong and Teradata in Singapore as a data scientist. He has completed data science projects for various verticals in Europe and Asia. After hours, he’s an avid learner and has attained 100 MOOC certificates in various fields such as AI, science, engineering, and maths. He has also authored articles to instill interest in science, technology as well as AI.
- A new Microsoft via AI and IoT
- Smart Manufacturing - quick steps and ready to go preconfigured solution to jumpstart
- AI - computer vision and AOI in manufacturing
Artificial Intelligence (A.I) and Its Application -SeminarBIJAY NAYAK
this presentation includes the the Basics of Artificial Intelligence and its applications in various Field. feel free to ask anything. Editors are always welcome.
Video at: https://www.linkedin.com/video/live/urn:li:ugcPost:6705141260845412352/
In this talk, we will review some of the challenges related to Industry 4.0 or Factory of Future, and how can Artificial Intelligence help address them.
Examples include the use of semantic interoperability and integration to support the use of sensor collected data in decision making, the use of computer vision to identify deviations in the process and manage quality, and the use of predictive algorithms for device maintenance.
This presentation was made on June 11, 2020.
Recording from the presentation can be viewed here: https://youtu.be/02Gb062U_M4
The manufacturing industry is adopting artificial intelligence (AI) at a fast rate. This century-old industry is complex but has seen constant transformation across all of its facets.
Led by big data analytics, miniaturization of sensors enabling the Internet of Things (IoT), and, now, AI machine learning (ML), manufacturers everywhere have embarked on an AI transformation that is opening up potential new revenue streams as well taking costs and time out of existing processes.
This talk will walk through a use case for enterprise AI solutions within the manufacturing sector. We will discuss the challenges, motivation, and tool selection process, then cover the solution development in detail.
Speaker Bio:
eRic is armed with the technical know-how of Data Science, Machines Learning, and Big Data Analytics. He. is equipped with skill-sets to value-add businesses exploring into areas of Artificial Intelligence (AI) with an AI consultation approach. Translating BDA, Machine Learning, and AI into Business Values.
eRic CHOO had spent the last 8 years in the IT industry from integration of Infrastructure (Storage and Back-up) solutions to Advance Analytics Software specializing in BDA, Machines Learning, and AI. Before joining the IT industry, he had vast experience in the Semiconductor industry, thus a deep understanding in advance manufacturing processes.
SIONG Jong Hang works as a Solutions Engineer/Data Scientist at H2O.ai based in Singapore where he helps business, government, academia, and non-profit organizations in their transformation into AI. Prior to H2O.ai, he has worked at the Quant Group at Bank of America Merrill Lynch in Hong Kong and Teradata in Singapore as a data scientist. He has completed data science projects for various verticals in Europe and Asia. After hours, he’s an avid learner and has attained 100 MOOC certificates in various fields such as AI, science, engineering, and maths. He has also authored articles to instill interest in science, technology as well as AI.
- A new Microsoft via AI and IoT
- Smart Manufacturing - quick steps and ready to go preconfigured solution to jumpstart
- AI - computer vision and AOI in manufacturing
Artificial Intelligence (A.I) and Its Application -SeminarBIJAY NAYAK
this presentation includes the the Basics of Artificial Intelligence and its applications in various Field. feel free to ask anything. Editors are always welcome.
smart manufacturing is a term that is transforming the huge industry scenario. the works are basically done by the robots and all the system have been automated. so, a huge transformation in there in the employment. the pillars that are required for smart manufacturing is also explained.
Social Impacts of Artificial intelligenceSaqib Raza
This lecture gives detail introduction, applications about AI. This lecture gives details about the social perspective and realities in the field of AI.
5 Powerful Real World Examples Of How AI Is Being Used In HealthcareBernard Marr
Healthcare can be transformed with the innovation and insights of artificial intelligence and machine learning. From robot-assisted surgery to virtual nursing assistants, diagnosing conditions, facilitating workflow and analyzing images, AI and machines can help improve outcomes for patients and lower costs for providers.
AI for Manufacturing (Machine Vision, Edge AI, Federated Learning)byteLAKE
This is the extended presentation about byteLAKE's and Lenovo's Artificial Intelligence solutions for Manufacturing.
Topics covered: AI strategy for manufacturing, Edge AI, Federated Learning and Machine Vision.
It's the first publication in the upcoming series: AI for Manufacturing. Highlights: AI-assisted quality monitoring automation, AI-assisted production line monitoring and issues detection, AI-assisted measurements, Intelligent Cameras and many more. Reach out to us to learn more: welcome@byteLAKE.com.
Presented during the world's first Federated Learning conference (Jun'20). Recording: https://youtu.be/IMqRIi45dDA
Related articles:
- Revolution in factories: Industry 4.0.
https://medium.com/@marcrojek/revolution-in-factories-industry-4-0-conference-made-in-wroclaw-2020-translation-ae96e5e14d55
- Cognitive Automation helps where RPAs fall short.
https://medium.com/@marcrojek/cognitive-automation-helps-where-rpas-fall-short-a1c5a01a66f8
- Machine Vision, how AI brings value to industries.
https://medium.com/@marcrojek/machine-vision-how-ai-brings-value-to-industries-e6a4f8e56f42
Learn more:
- https://www.bytelake.com/en/cognitive-services/
- https://www.lenovo.com/ai
- https://federatedlearningconference.com/
Artificial Intelligence in Health Care 247 Labs Inc
This presentation was shown at the Artificial Intelligence in Health Care event in Toronto Nov 16 2017. The discussion was to introduce various applications of artificial intelligence and machine learning in the health care field.
Artificial Intelligence And Machine Learning PowerPoint Presentation Slides C...SlideTeam
Artificial Intelligence And Machine Learning PowerPoint Presentation Slides arrange insightful data using industry-best design practices. Highlight the differences between machine intelligence, machine learning, and deep learning through our PPT format. Utilize this PowerPoint slideshow to present advantages, disadvantages, learning techniques, and types of supervised machine learning. Further, cover the merits, demerits, and types of unsupervised machine learning. Communicate important details concerning reinforcement learning. Familiarize your viewers with the expert system in artificial intelligence. Outline examples, characteristics, constituents, uses, advantages, drawbacks, and other aspects of the expert system. Compile the deep learning process, recurrent neural networks, and convolutional neural networks through this PowerPoint theme. Present an impactful introduction to artificial intelligence. Introduce kinds, algorithms, trends, and use cases of artificial intelligence. This presentation is not only easy-to-follow but also very convenient to edit, even if you have no prior design experience. Smash the download button and start instant personalization. Our Artificial Intelligence And Machine Learning PowerPoint Presentation Slides Complete Deck are explicit and effective. They combine clarity and concise expression. https://bit.ly/3hKg7PV
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.
The future of artificial intelligence in manufacturing industriesusmsystems
For large industries such as gaming, banking, retail, commerce, and government. AI is widely used and slow in the manufacturing sector, facilitating industrial automation. AI-powered machines show an easy path to the future by providing some benefits — providing new opportunities, increasing production capacity and bringing machine technology closer to human interaction.
Internet of Things (IoT) and Artificial Intelligence (AI) role in Medical and...Hamidreza Bolhasani
Internet of Things (IoT) and Artificial Intelligence (AI) role in Medical and Healthcare Systems
+ History of IoT
+ Internet of Nano Things (IoNT)
+ IoT and IoNT for Medical and Healthcare Systems
+ IoT and Artificial Intelligence (AI)
+ IoT and AI for Health
+ Deep Learning Accelerator
Impact of Artificial Intelligence in IT IndustryAnand SFJ
https://sfjbstraining.com/product/artificial-intelligence-course
Artificial Intelligence transforms traditional computer methods but also has an impact on various industries. Software which makes Artificial Intelligence relatively more important in this sector.
Research about artificial intelligence (A.I)Alị Ŕỉźvị
These slides contains no extra ordinary textual information but they are very good as being creative. relevant to the topic animations were added which guarantee not to make the audience bore.
Faststream’s Predictive maintenance platform uses condition-monitoring equipment to evaluate an asset’s performance in real-time in the manufacturing Industries. Using our Predictive maintenance for industry 4.0 we were able to prevent asset failure of various Factories and Manufacturing Companies. By analyzing production data to identify patterns and predict issues before they happen.
Using our IoT based Predictive Maintenance Solutions the Factory managers and machine operators can carry out scheduled maintenance and regularly repaired machine parts to prevent downtime. Our IoT allows for different assets and systems to connect, work together, share, analyze, and make actionable decisions on the data.
Faststream's Predictive Maintenance on Factory Maintenance helps maintenance managers and manufacturers to predict the likelihood of future failures and determine asset failure factors that could impact elevator operations. By incorporating Faststream Technologies IoT gateway, sensor node, and Microsoft Azure/AWS/Thinkspace Cloud platform, our solution can entitle with data statistics, state monitoring, fault alarming, remote management, maintenance supervision, emergency response advertisement placement, and other features.
Emerging manufacturing systems will be smart, sustainability and responsive to customer needs. Industry 4.0 offers an interesting platform. It is an integrative and all embracing architecture.
IOT in Bangladesh | Enterprise Resource Planning (ERP) Software System | Pridesys IT Ltd, Different Innovation and Excellence | Internet of Things Applications for Analytics
smart manufacturing is a term that is transforming the huge industry scenario. the works are basically done by the robots and all the system have been automated. so, a huge transformation in there in the employment. the pillars that are required for smart manufacturing is also explained.
Social Impacts of Artificial intelligenceSaqib Raza
This lecture gives detail introduction, applications about AI. This lecture gives details about the social perspective and realities in the field of AI.
5 Powerful Real World Examples Of How AI Is Being Used In HealthcareBernard Marr
Healthcare can be transformed with the innovation and insights of artificial intelligence and machine learning. From robot-assisted surgery to virtual nursing assistants, diagnosing conditions, facilitating workflow and analyzing images, AI and machines can help improve outcomes for patients and lower costs for providers.
AI for Manufacturing (Machine Vision, Edge AI, Federated Learning)byteLAKE
This is the extended presentation about byteLAKE's and Lenovo's Artificial Intelligence solutions for Manufacturing.
Topics covered: AI strategy for manufacturing, Edge AI, Federated Learning and Machine Vision.
It's the first publication in the upcoming series: AI for Manufacturing. Highlights: AI-assisted quality monitoring automation, AI-assisted production line monitoring and issues detection, AI-assisted measurements, Intelligent Cameras and many more. Reach out to us to learn more: welcome@byteLAKE.com.
Presented during the world's first Federated Learning conference (Jun'20). Recording: https://youtu.be/IMqRIi45dDA
Related articles:
- Revolution in factories: Industry 4.0.
https://medium.com/@marcrojek/revolution-in-factories-industry-4-0-conference-made-in-wroclaw-2020-translation-ae96e5e14d55
- Cognitive Automation helps where RPAs fall short.
https://medium.com/@marcrojek/cognitive-automation-helps-where-rpas-fall-short-a1c5a01a66f8
- Machine Vision, how AI brings value to industries.
https://medium.com/@marcrojek/machine-vision-how-ai-brings-value-to-industries-e6a4f8e56f42
Learn more:
- https://www.bytelake.com/en/cognitive-services/
- https://www.lenovo.com/ai
- https://federatedlearningconference.com/
Artificial Intelligence in Health Care 247 Labs Inc
This presentation was shown at the Artificial Intelligence in Health Care event in Toronto Nov 16 2017. The discussion was to introduce various applications of artificial intelligence and machine learning in the health care field.
Artificial Intelligence And Machine Learning PowerPoint Presentation Slides C...SlideTeam
Artificial Intelligence And Machine Learning PowerPoint Presentation Slides arrange insightful data using industry-best design practices. Highlight the differences between machine intelligence, machine learning, and deep learning through our PPT format. Utilize this PowerPoint slideshow to present advantages, disadvantages, learning techniques, and types of supervised machine learning. Further, cover the merits, demerits, and types of unsupervised machine learning. Communicate important details concerning reinforcement learning. Familiarize your viewers with the expert system in artificial intelligence. Outline examples, characteristics, constituents, uses, advantages, drawbacks, and other aspects of the expert system. Compile the deep learning process, recurrent neural networks, and convolutional neural networks through this PowerPoint theme. Present an impactful introduction to artificial intelligence. Introduce kinds, algorithms, trends, and use cases of artificial intelligence. This presentation is not only easy-to-follow but also very convenient to edit, even if you have no prior design experience. Smash the download button and start instant personalization. Our Artificial Intelligence And Machine Learning PowerPoint Presentation Slides Complete Deck are explicit and effective. They combine clarity and concise expression. https://bit.ly/3hKg7PV
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.
The future of artificial intelligence in manufacturing industriesusmsystems
For large industries such as gaming, banking, retail, commerce, and government. AI is widely used and slow in the manufacturing sector, facilitating industrial automation. AI-powered machines show an easy path to the future by providing some benefits — providing new opportunities, increasing production capacity and bringing machine technology closer to human interaction.
Internet of Things (IoT) and Artificial Intelligence (AI) role in Medical and...Hamidreza Bolhasani
Internet of Things (IoT) and Artificial Intelligence (AI) role in Medical and Healthcare Systems
+ History of IoT
+ Internet of Nano Things (IoNT)
+ IoT and IoNT for Medical and Healthcare Systems
+ IoT and Artificial Intelligence (AI)
+ IoT and AI for Health
+ Deep Learning Accelerator
Impact of Artificial Intelligence in IT IndustryAnand SFJ
https://sfjbstraining.com/product/artificial-intelligence-course
Artificial Intelligence transforms traditional computer methods but also has an impact on various industries. Software which makes Artificial Intelligence relatively more important in this sector.
Research about artificial intelligence (A.I)Alị Ŕỉźvị
These slides contains no extra ordinary textual information but they are very good as being creative. relevant to the topic animations were added which guarantee not to make the audience bore.
Faststream’s Predictive maintenance platform uses condition-monitoring equipment to evaluate an asset’s performance in real-time in the manufacturing Industries. Using our Predictive maintenance for industry 4.0 we were able to prevent asset failure of various Factories and Manufacturing Companies. By analyzing production data to identify patterns and predict issues before they happen.
Using our IoT based Predictive Maintenance Solutions the Factory managers and machine operators can carry out scheduled maintenance and regularly repaired machine parts to prevent downtime. Our IoT allows for different assets and systems to connect, work together, share, analyze, and make actionable decisions on the data.
Faststream's Predictive Maintenance on Factory Maintenance helps maintenance managers and manufacturers to predict the likelihood of future failures and determine asset failure factors that could impact elevator operations. By incorporating Faststream Technologies IoT gateway, sensor node, and Microsoft Azure/AWS/Thinkspace Cloud platform, our solution can entitle with data statistics, state monitoring, fault alarming, remote management, maintenance supervision, emergency response advertisement placement, and other features.
Emerging manufacturing systems will be smart, sustainability and responsive to customer needs. Industry 4.0 offers an interesting platform. It is an integrative and all embracing architecture.
IOT in Bangladesh | Enterprise Resource Planning (ERP) Software System | Pridesys IT Ltd, Different Innovation and Excellence | Internet of Things Applications for Analytics
IIoT Framework for SME level Injection Molding Industry in the Context of Ind...Dr. Amarjeet Singh
The Internet of Things (IoT) is a hype topic for nearly a decade now. Broadly growing, millions of devices get direct access to the Internet provides plenty of applications such as smart homes or mobile health management. This trend can also be found in the industry where IoT components hardened for these environments are introduced, called Industrial IoT (IIoT) devices which can be either sensors or actors, as well as mobile equipment such as smartphones, tablets, and smart glasses. Consequently, mobile communication becomes universal in smart factories. IIoT devices provide massive data on temperature, pressure, machine states, etc. But still, most of the SME level industries in the Asian region are new to these technological advancements. They still operate their facilities ith conventional setups without absorbing the new opportunities which are presented by IoT.
In the plastic injection molding industry, process parameters perform a significant role in the quality of the output product. During the manufacturing process, these process parameters have to deal with various factors such as quality and type of materials, requirement tolerance levels of the output product, Environmental conditions like temperature and humidity, etc. Injection molding has been a challenging process for many SME level manufacturers to produce products while meeting the quality requirements at the lowest cost. Most of them are unable to reach the global market in the injection molding industry due to the non-availability of the proper methods to determine the process parameters for injection molding. During production, quality characteristics may differ due to drifting or shifting of processing conditions caused by machine wear, environmental change, or operator fatigue. By determining the optimal process parameter settings productivity and quality will increase while reducing the cost of production.
In this paper, we suggest an Industrial IoT framework that can develop for small- and medium-sized enterprises (SMEs) level industries to optimize their production facility. With the presented framework SME level industries can start to inherit IoT devices into their production floor to manage and monitor production parameters in real-time while improving the quality of the production.
Pete Wassell (Augmate): AR Smart Glasses and the Industrial IoTAugmentedWorldExpo
A talk from the Work Track at AWE USA 2017 - the largest conference for AR+VR in Santa Clara, California May 31- June 2, 2017.
Pete Wassell (Augmate): AR Smart Glasses and the Industrial IoT
Industry 4.0 presents a unique opportunity for machines and humans to communicate with each other. We are seeing a combination of technologies at the edge of IoT where human workers are getting predictive maintenance notifications and alerts for better operations in manufacturing. The convergence of machine sensors, big data, and artificial intelligence tied to AR Smart Glasses creates an augmented worker needed for this next industrial revolution. Companies will see unprecedented efficiency gains with digital transformation in this sector.
http://AugmentedWorldExpo.com
Cyber Physical Systems Bridging the Digital and Physical Realms for a Smarter...ijtsrd
Cyber Physical Systems CPS represent an innovative paradigm that seamlessly integrates the digital and physical worlds, fostering a new era of intelligent, interconnected systems. This paper explores the evolution, applications, advantages, challenges, and future trends of CPS across various industries. From the mechanization of Industry 1.0 to the collaborative human machine vision of Industry 5.0, CPS has continually revolutionized industrial processes, enhancing efficiency, and enabling real time decision making. Advancements in CPS have propelled industries into the era of smart manufacturing, healthcare, transportation, and more. Real time monitoring, automation, and predictive maintenance have become the cornerstones of CPS applications, optimizing processes and resource utilization. However, challenges such as security concerns, complexity in integration, and ethical considerations necessitate careful navigation as CPS continues to evolve. Looking ahead, the integration of edge computing, 5G connectivity, artificial intelligence, and blockchain is anticipated to shape the future of CPS. These technologies promise to enhance the adaptive capabilities of systems, improve data security, and facilitate human machine collaboration. The emergence of Industry 5.0 emphasizes the symbiotic relationship between humans and machines, underlining the importance of incorporating human skills, creativity, and intuition into CPS applications. As the trajectory of CPS unfolds, considerations of sustainability, interoperability standards, and the impact of quantum computing are crucial. Resilient and self healing systems are envisioned, ensuring continuous operation in the face of disruptions. The paper concludes by emphasizing the collaborative efforts required among industries, researchers, and policymakers to address challenges, drive innovation, and ethically guide the evolution of CPS toward a smarter, more connected, and human centric future. Manish Verma "Cyber-Physical Systems: Bridging the Digital and Physical Realms for a Smarter Future" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6 , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60163.pdf Paper Url: https://www.ijtsrd.com/physics/engineering-physics/60163/cyberphysical-systems-bridging-the-digital-and-physical-realms-for-a-smarter-future/manish-verma
A Platter of Insights on Navigating IoT TrendsTechugo
Savor a comprehensive platter of insights into navigating IoT trends. Explore the dynamic landscape of Internet of Things technology, from smart devices to data analytics. Elevate your understanding of how IoT innovations are reshaping industries, optimizing operations, and offering unparalleled connectivity, setting the stage for a future powered by seamless digital integration.
Industry 4.0 refers to the current trend of automation and deployment of Internet technologies
in manufacturing. This includes using machine-to-machine and Internet of Things (IoT) deployments to help
manufacturers implement increased automation, improved communication and process monitoring. This trend
of Industry 4.0 (sometimes referred to as the 4th Industrial Revolution) affects most processes and people
throughout society. This paper provides a brief introduction to Industry 4.0.
Building Reference Architectures for the Industrial IoTCapgemini
Building Reference Architectures for the Industrial IoT - Alina Chircu, Bentley University; Eldar Sultanow, Capgemini Germany
Workshop on Smart Manufacturing in Aerospace and Automotive Industries
AIS Special Interest Group for Big Data Application in Processes (SIGBD), AMCIS 2017, Boston, USA
An Analysis of Benefits and Risks of Artificial Intelligenceijtsrd
Artificial intelligence AI is now typical technology in our everyday lives with applications in image and voice recognition, language translations, chatbots, and predictive data analysis. AI technological progress is likely to present us with many challenges. Furthermore, AI increasingly complex algorithms currently influence our lives and our civilization more than ever before. AI should be taken very seriously even if the probability of their rate were low. Our focus on this paper is an analysis of benefits and risks of AI was on highlighting the potential vulnerabilities and inequities that the use of AI executes. Win Mar | Yin Myo Kay Khine Thaw "An Analysis of Benefits and Risks of Artificial Intelligence" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26667.pdfPaper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/26667/an-analysis-of-benefits-and-risks-of-artificial-intelligence/win-mar
Manufacturing is essential for realizing all products and is an indispensable element of the innovation chain. Traditional manufacturing companies currently face several challenges such as rapid technological changes, inventory problems, shortened innovation, short product life cycles, volatile demand, low prices, highly customized products, and the ability to compete in the global markets. These challenges are compelling manufacturers to embrace new technologies such as the Internet of things. The Internet of things is the next big technological revolution. It is a system of smart enabled devices, from vacuum cleaners to cars. The manufacturing industry is leading in the adoption of IoT due to the fact that IoT has several applications in manufacturing. The industrial internet of things has boosted the productivity, security, and overall efficiency of various organizations. Manufacturing is the largest IIoT market. This paper provides several applications of IoT or IIoT in manufacturing. Matthew N. O. Sadiku | Uwakwe C. Chukwu | Abayomi Ajayi-Majebi | Sarhan M. Musa "Applications of IoT in Manufacturing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49676.pdf Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/49676/applications-of-iot-in-manufacturing/matthew-n-o-sadiku
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
2. I
II
III
IV
V
VI
VII
AMIT SHETH, PhD
• Founding director of the
university-wide Artificial
Intelligence Institute at UofSC
(AIISC)
• Core research on AI topics such as
knowledge infused learning and
neuro-symbolic computing,
• AIISC has translational research
with nearly al of the colleges at
UofSC
• Fellow of IEEE, AAAI and AAAS
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing2
3. I
II
III
IV
V
VI
VII
OUTLINE
I. AIISC Introduction
II. AI in Manufacturing
III. Knowledge Graph/Ontology
IV. Computer Vision in Manufacturing
V. Predictive Maintenance
VI. NLP and Conversational AI
VII. Applications of AI in Manufacturing
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing3
5. I
II
III
IV
V
VI
VII
I | AIISC DRIVERS AND DISTINCTIONS
• To be recognized as the top
institution in interdisciplinary AI,
AI applications and impact in
Southeast US, and among the top
in its chosen of selected AI
subareas
● Exceptional Student Outcomes
○ Education: 20+ courses in AI
● High impact from translational
research
● Apply AI and realize impact
across the university and state
● High engagement with
communities and industry
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing5
I
6. I
II
III
IV
V
VI
VII
I | UNIVERSITY-WIDE MANDATE
● College of Medicine (5)
● College of Nursing (2)
● College of Arts & Science (2)
○ Hazard & Vulnerability Res Inst
○ Institute of Mind and Brain
● College of Pharmacy
○ Colorectal Cancer
○ Digestive Inflammation Index
● College of Information & Communication
● College of Engineering & Computing
○ Civil and Environmental
○ Mechanical & Aerospace
○ Computer Sc & Engg
● College Education
○ ALL4SC
● College of Public Health
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing6
Practically all our work involves real world challenges, real-world data, interdisciplinary
collaborators, path-breaking research and innovations, real-world deployments, real
world use, and measurable real world impact.
I
8. I
II
III
IV
V
VI
VII
II | BIG CHANGES IN MANUFACTURING NEED AI
● Automation supported by myriad of technologies including Robots; IoT,
Digital Twins
● Strategic changes in Supply Chain - massive disruptions, hiccups in
globalization
● Sustainability - traceability and accountability
Result: Data Tsunami -> Analytics [CAGR of 30.9% over the forecast period, 2020-
2025: ResearchAndMarkets.com]
Possible Solution: AI can help
(Recommendation/Planning/Decision Making)
[AI in manufacturing is expected to grow at a CAGR of 57.2% during 2020 and 2027:
MarketsAndMarkets.com]
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing8
II
9. I
II
III
IV
V
VI
VII
II | BIG CHANGES IN MANUFACTURING NEED AI
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing9
“Industry 4.0 is the information-intensive transformation of manufacturing (and related industries) in a
connected environment of big data, people, processes, services, systems and IoT-enabled industrial assets
with the generation, leverage and utilization of actionable data and information as a way and means to
realize smart industry and ecosystems of industrial innovation and collaboration.”
From: https://www.i-scoop.eu/industry-4-0/
II
10. I
II
III
IV
V
VI
VII
II | BIG CHANGES IN MANUFACTURING NEED AI
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing10
Information is cheap.
Understanding is expensive.
Karl Fast,
Professor of UX Design,
Kent State University
AI is about converting data into
knowledge, insights and actions.
II
11. I
II
III
IV
V
VI
VII
II | WHAT IS EXPECTED FOR FACTORY OF FUTURE (FOF)
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing11
1. Detect defects throughout the production process.
2. Deploy predictive maintenance to reduce downtime.
3. Respond to real-time changes in demand across the supply chain.
4. Validate whether intricate goods like microchips have been perfectly produced.
5. Reduce costs of small-batch or single-run goods, enabling greater customization.
6. Improve employee satisfaction by shifting mundane tasks to machines.
II
From: Luke A. Renner, How Can Artificial Intelligence Be Applied in Manufacturing?
12. I
II
III
IV
V
VI
VII
II | AI IN MANUFACTURING (WHY? -> BENEFITS)
• Direct Automation
• 24/7 production
• Safety
• Low operational cost
• Greater efficiency
• Quality control
• Quick decision making
https://www.rowse.co.uk/blog/post/7-manufacturing-ai-benefits
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing12
https://www.industryweek.com/technology-and-iiot/article/22027119/benefits-of-
ai-on-manufacturing-a-visual-guide
II
14. I
II
III
IV
V
VI
VII
II | AI IN MANUFACTURING
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing14
“EVEN THOUGH AI HAS BECOME ONE OF THE HOTTEST TOPICS IN
MANUFACTURING TODAY, MOST MANUFACTURERS ARE AT THE
START OF THE ADOPTION CURVE. “
THOMAS LEESON
“BY THE TIME A LATE ADOPTER HAS DONE ALL THE NECESSARY
PREPARATION, EARLIER ADOPTERS WILL HAVE TAKEN
CONSIDERABLE MARKET SHARE; THEY’LL BE ABLE TO OPERATE AT
SUBSTANTIALLY LOWER COSTS WITH BETTER PERFORMANCE. IN
SHORT, THE WINNERS MAY TAKE ALL AND LATE ADOPTERS MAY
NEVER CATCH UP.”
VIKRAM MAHIDHAR & THOMAS H. DAVENPORT, HBR, DEC 2019
II
15. I
II
III
IV
V
VI
VII
II | AI IN MANUFACTURING
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing15
KEY AI
SUBAREAS
Conversational
AI
Machine & Deep
Learning
Natural
Language
Processing (NLP)
Computer
Vision
Robotics
Knowledge Graph
(Ontology)
II
17. I
II
III
IV
V
VI
VII
III | TYPICAL NW ARCHITECTURE FOR FOF: EDGE, FOG, CLOUD
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing17
Figure: Li et al, Online Workload Allocation via Fog-Fog-Cloud Cooperation to Reduce IoT Task Service Delay, 2019
III
18. I
II
III
IV
V
VI
VII
II | INDUSTRY NEXT MANUFACTURING @ MCNAIR, UOFSC
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing18
Digital Cell
Actual Cell
II
19. I
II
III
IV
V
VI
VII
III | CONNECTED MANUFACTURING: SMART IOT AS SOLUTION
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing19
III
http://wiki.aiisc.ai/index.php/Smart_Data
20. I
II
III
IV
V
VI
VII
III | SEMANTICS AT DEVICE AND FACTORY FLOOR NW PROTOCOL LEVELS
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing20
Reference: Gyrard, Amelie, Pankesh Patel, Amit P. Sheth, and Martin Serrano. "Building the web of knowledge with smart iot applications." IEEE Intelligent Systems 31 (5), 2016)
P. Desai, A. Sheth, P. Anantharam: Semantic Gateway as a Service Architecture for IoT Interoperability, 2015.
● Moving computation and intelligence closer to data generation.
● Semantic Gateway as a service for interoperability between devices
that are using different protocols.
III
23. I
II
III
IV
V
VI
VII
III | TYPES OF INTEROPERABILITY
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing23
Interoperability of
● NWs & protocols
● Data
Data interop:
● Domain
independent
● Domain specific
SenML, SSN
Semantic annotation
Liu et al, Device-Oriented Automatic Semantic Annotation in IoT, 2017
III
24. I
II
III
IV
V
VI
VII
III | ROLE OF ONTOLOGY/KG FOR INTEROPERABILITY: SSN
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing24
Semantic annotation/
labeling help with shared
meaning/uniform
interpretation
of data
SSN ontology
provides framework for
semantic annotation of
sensor/device data;
Similarly application/
domain specific
ontology/knowledge graph
can support semantic
annotation wrt to the
application/domain/task
III
25. I
II
III
IV
V
VI
VII
III | DIKW: DATA, ANNOTATION, ABSTRACTION, ACTION
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing25
Adapted from: Gyrard, et al,
Building the Web of Knowledge with Smart IoT Applications (Extended Version), 2016
ISA 95
model
III
26. I
II
III
IV
V
VI
VII
III | FACTORY OF FUTURE (FOF) NETWORKING
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing26
Intizar Ali, Pankesh Patel, John Breslin, “Middleware for Real-Time Event Detection and Predictive Analytics in Smart Manufacturing”, 15th International Conference on
Distributed Computing in Sensor Systems (DCOSS), 2019.
III
27. I
II
III
IV
V
VI
VII
III | USE OF KNOWLEDGE GRAPHS IN SMART MANUFACTURING
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing27
VISUAL SENSORS
Security Cameras, Drones,
Inspection Cameras
PHYSICAL SENSORS
INDUSTRIAL SENSORS
Load cell, Accelerometer,
Optical sensor, Potentiometer,
RTD temperature sensor
HEAT MAP SENSOR
Infra-Red heat map sensor
DIGITAL TWIN
Factory Configuration
Process simulators
Loops
Manufacturing Process
Manufacturing Knowledge
Representation
MANUFACTURING ONTOLOGY
MANUFACTURING KG
Downstream Tasks
ADAPTIVE KG UPDATE MODULE
Calculating
Ont. + KG
update
MANUFACTURING SCENE/ EVENT
UNDERSTANDING
FAULT DETECTION
Events
Features of Interests
Computer Vision + Signal
Processing Module
KG facts extraction
and infusion
Enhanced Fault
Detection
Feedback
III
30. I
II
III
IV
V
VI
VII
IV | COMPUTER VISION EXAMPLES IN FOF
• Predictive maintenance of machinery: Using IoT sensors to monitor the
production line in real-time to reduce unscheduled downtime and increase
productivity
• Inspection of defectives: Monitor the assembly lines and identify the
defective components
• Accurate assembly of components: Alert system for misassembly or mid-
operation failure.
• Quality control for products: Eg: Acquire Automation implements machine
vision that permits manufacturers to inspect bottles in a complete 360-
degree view to verify that products are placed in the correct packaging
• Health and safety: Deep learning-based AI to track the movement of people
and predict where the machines are going to be to avoid dangerous
interactions
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing30
IV
31. I
II
III
IV
V
VI
VII
IV | INSPECTION SYSTEM
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing31
• Visual sensors(IoT) are deployed to monitor defects
• They generate a lot of data and it is difficult to manage large volumes
of data
• A system to handle and make sense out of such large volumes of data
is necessary
• Convolutional Neural Networks can be used for defect classification
• Besides defect type, the degree of defect can also be quantified
IV
32. I
II
III
IV
V
VI
VII
IV | DEFECT DETECTION
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing32
L Li et al, Deep Learning for Smart Industry: Efficient Manufacture Inspection System With Fog Computing, IEEE Transactions on Industrial Informatics, 14 (10), October 2018
IV
33. I
II
III
IV
V
VI
VII
IV | VIDEO ANALYTICS FOR INDUSTRY 4.0 : DRONE AND SAFETY
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing33
● Health, Safety and Environment (HSE) inspection
● "Bird eye" view
● Camera to capture images, evidences
Drone@ Construction site
● Grid inspection
● Camera to capture any potential issues
● Remote inspection for worker safety
Drone@ grid inspection
Image source: https://bit.ly/2RgKxeL https://bit.ly/2zKXN4N
IV
35. I
II
III
IV
V
VI
VII
V | INTELLIGENT PREDICTIVE MAINTENANCE FOR FAULT DIAGNOSIS
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing35
ML/DL
Algorithms
used for Fault
Diagnosis
How AI Affects the Future Predictive Maintenance: A Primer of Deep Learning
Li et al, ML algorithms used: SVM, Decision Trees, ANNs, Self-Organizing-Maps and other Statistical Machine Learning techniques
V
36. I
II
III
IV
V
VI
VII
V | PREDICTIVE MAINTENANCE BASED ON DEEP LEARNING
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing36
Wang and Wang, How AI Affects the Future Predictive Maintenance: A Primer of Deep Learning, 2018
V
Prognostics: probabilities
that the system can fail in
different time horizon/
Maintenance decision.
38. I
II
III
IV
V
VI
VII
VI | CHATBOT AND SMART MANUFACTURING
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing38
Image source: : https://bit.ly/2zLZ9Mo
Chatbot features
● Easy to use
● Real-time interactions with devices
● Questions- answer structure
● Natural communication
● Continuous improvement over time
● Personalized relation with engineers (context,
history)
● Helping maintenance crews to verify
factory's condition
○ Field operation – "What is the
temperature reading of a motor #1
of floor #3?"
● Feedback from users on trial runs
○ Improved customer-manufacturer
relationship
● Scalable
VI
39. I
II
III
IV
V
VI
VII
VI | TAKEAWAY
• Manufacturing is a data rich environment. More automation and new
manufacturing add to the growth of data
• Different area of AI provide ability to improve decision making from
different types of data, and for different applications
• AI is at the center of the future differentiation and progress in
manufacturing
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing39
VI
40. THANK YOU!
neXt LIVE with Dr. Ramy Harik
For more information email harik@cec.sc.edu
Slide layout by Alex Brasington