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.
IOT in Bangladesh | Enterprise Resource Planning (ERP) Software System | Pridesys IT Ltd, Different Innovation and Excellence | Internet of Things Applications for Analytics
This white paper dwells upon some of the finer and crucial factors on IIoT adoption in India - is India as a market ready for accepting IIoT, what is the market potential, what are the challenges / road blocks, how DIGITAL INDIA & MAKE IN INDIA programs are propelling the emanation and adoption of IIoT technology, along with some of the IIoT use cases to address and improve output, efficiency, reduction in energy consumption & GHG.
The fourth industrial revolution Industry 4.0 represents a new paradigm shift from “centralized” to “decentralized” industry relies on cyber-physical based automation where sensors send data directly to the cloud and services such as monitoring, control and optimization automatically subscribe to necessary data in real-time. In the coming years, these technologies will be seen as a viable alternative to current manufacturing processes. According to a recent report by Markets and Markets, smart factory technology will have global market size of 74.80 Billion USD by 2022. The talk provides a comprehensive introduction to Industry 4.0 and Smart Factory. Technical challenges and social implications of smart factory will be discussed. The applicability of these emerging technologies in developing economies is highlighted in this talk as well.
Models applied in IoT solutions, Semantic models for data models, Application of semantic models,
information models, information models to structure data, relationships between data categories
IOT in Bangladesh | Enterprise Resource Planning (ERP) Software System | Pridesys IT Ltd, Different Innovation and Excellence | Internet of Things Applications for Analytics
This white paper dwells upon some of the finer and crucial factors on IIoT adoption in India - is India as a market ready for accepting IIoT, what is the market potential, what are the challenges / road blocks, how DIGITAL INDIA & MAKE IN INDIA programs are propelling the emanation and adoption of IIoT technology, along with some of the IIoT use cases to address and improve output, efficiency, reduction in energy consumption & GHG.
The fourth industrial revolution Industry 4.0 represents a new paradigm shift from “centralized” to “decentralized” industry relies on cyber-physical based automation where sensors send data directly to the cloud and services such as monitoring, control and optimization automatically subscribe to necessary data in real-time. In the coming years, these technologies will be seen as a viable alternative to current manufacturing processes. According to a recent report by Markets and Markets, smart factory technology will have global market size of 74.80 Billion USD by 2022. The talk provides a comprehensive introduction to Industry 4.0 and Smart Factory. Technical challenges and social implications of smart factory will be discussed. The applicability of these emerging technologies in developing economies is highlighted in this talk as well.
Models applied in IoT solutions, Semantic models for data models, Application of semantic models,
information models, information models to structure data, relationships between data categories
Approaches to gather business requirements, defining problem statements, business requirements for
use case development, Assets for development of IoT solutions
Industrial IoT landscape and technology, differences between consumer and industrial IoT, Industry 4.0 and Industrial Internet.LPWAN and SIGFOX network
Mike Killian from Cisco was in attendance at Next Dimension to discuss IoT, IT/OT Convergence, and all things Smart Manufacturing. This presentation showcases the impact of Smart Manufacturing strategies as implemented across Cisco's supply chain.
Integrating the IIoT with the digital twins for the drugs industryAboul Ella Hassanien
Presentation at Advanced Intelligent Systems for Sustainable Development (AISSD 2021) 20-22 August 2021 organized by the scientific research group in Egypt with Collaboration with Faculty of Computers and AI, Cairo University and the Chinese University in Egypt
The presentation describes the fourth industrial revolution and the basic technologies associated with this revolution. This ppt is been made by me to present it during the course of an internship in 2020.
Check out the differences between IoT, IIoT & Industry 4.0. Looking to increase your revenue by leveraging IoT or Industry 4.0, click here - https://smacar.com/
To know more about the differences between IoT, IIoT and Industry 4.0, click here - https://smacar.com/iot-iiot-industry-4-0/
Revolutionize your business with the Industrial Internet of Things ( IIoT) - ...CTOBuddy.com
Download the whitepaper from http://www.attunity.com/IIoT
The Industrial Internet of Things is made up of billions of devices collecting and transmitting data to support some of the fastest-growing areas in global business. But to glean value from the IIoT, companies need to be able to access and analyze this Big Data, and there are several common technical hurdles that need to be addressed first.
Take a look at this presentation to understand how Attunity addresses these technical hurdles head-on, enabling companies to move data fast, easily and securely, and realize the full value of the IIoT.
Industry 4.0 (IIoT) is changing the face of manufacturing like never before. Global situation of tariff war and re-shoring are catalysts driving this change in addition to technology adaption.
Check out this Comparative Analysis between Industry 4.0 (IIoT) and SCADA systems to understand the basic differences between the two.
Industry 4.0 IIoT adopts a top-down approach going from business use-cases and fragmented into simpler technical use-cases. This approach ensures that IIoT has a direct impact on business goals by adoption of Industry 4.0.
We at ENERCO adopt an iterative or agile approach which is the most popular software development models. The difference here is that the agile methodology is applied to the entire project as a system.
The IIoT audit consists of understanding the existing business, manufacturing plant setup, technical processes, business processes, equipment set up etc. In addition to understanding the present setup the IIoT audit also consists of detailed discussions with the plant team from various divisions including business, maintenance and production.
Upon understanding a firm’s business goals it is transformed into a simple system architecture in this stage. This basic architecture consists of an outline of the proposed IIoT solution based upon the existing setup as well as expectations from the proposed solution.
In a nutshell, IIoT Audit forms the stepping stone on the larger goal and strategic objective of attaining Industry 4.0 for a Manufacturing Company.
IIoT is often presented as a revolution that is changing the face of industry in a profound manner. In reality, it is an evolution that has its origins in technologies and functionalities developed by visionary automation suppliers more than 15 years ago. As the necessary global standards mature, it may well take another 15 years to realise the full potential of IIoT. Over this period of time the changes to the industry will be far reaching. The good news is that end users and machine builders can now leverage their existing investments in technology and people while taking advantage of available new IIoT technologies.
Introducing IIoT solutions using a “wrap & re-use” approach, rather than a “rip & replace” approach will enable greater business control. In addition, this measured approach will drive the evolution towards a smart manufacturing enterprise that is more efficient, safer, and sustainable. The emergence of the IIoT megatrend has created both hope and confusion among stakeholders responsible for operating industrial plants. Much of the early hype was focused on the impact of technological advancements on existing automation platforms.
Industry 4.0, the 4th Industrial revolution, is redefining manufacturing in 2020.
Smart Factory, Smart Manufacturing, Digital Manufacturing, Artificial Intelligence, Big Data etc. are commonly herd terms nowadays. But what exactly do they mean? What is Industry 4.0? What were Industry 1.0, 2.0 and 3.0? How does Industry 4.0 positively impact the way a Factory manufactures? What are the benefits of Industry 4.0? How can a factory become a Smart Factory? How to get started with Industry 4.0 journey? How to achieve manufacturing excellence using Industry 4.0 route? What is Digital Manufacturing and Smart Manufacturing?
These and some of these questions are answered in this updated (July 2020) Industry 4.0 IIoT Webinar Presentation (PPT, PDF).
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.
Approaches to gather business requirements, defining problem statements, business requirements for
use case development, Assets for development of IoT solutions
Industrial IoT landscape and technology, differences between consumer and industrial IoT, Industry 4.0 and Industrial Internet.LPWAN and SIGFOX network
Mike Killian from Cisco was in attendance at Next Dimension to discuss IoT, IT/OT Convergence, and all things Smart Manufacturing. This presentation showcases the impact of Smart Manufacturing strategies as implemented across Cisco's supply chain.
Integrating the IIoT with the digital twins for the drugs industryAboul Ella Hassanien
Presentation at Advanced Intelligent Systems for Sustainable Development (AISSD 2021) 20-22 August 2021 organized by the scientific research group in Egypt with Collaboration with Faculty of Computers and AI, Cairo University and the Chinese University in Egypt
The presentation describes the fourth industrial revolution and the basic technologies associated with this revolution. This ppt is been made by me to present it during the course of an internship in 2020.
Check out the differences between IoT, IIoT & Industry 4.0. Looking to increase your revenue by leveraging IoT or Industry 4.0, click here - https://smacar.com/
To know more about the differences between IoT, IIoT and Industry 4.0, click here - https://smacar.com/iot-iiot-industry-4-0/
Revolutionize your business with the Industrial Internet of Things ( IIoT) - ...CTOBuddy.com
Download the whitepaper from http://www.attunity.com/IIoT
The Industrial Internet of Things is made up of billions of devices collecting and transmitting data to support some of the fastest-growing areas in global business. But to glean value from the IIoT, companies need to be able to access and analyze this Big Data, and there are several common technical hurdles that need to be addressed first.
Take a look at this presentation to understand how Attunity addresses these technical hurdles head-on, enabling companies to move data fast, easily and securely, and realize the full value of the IIoT.
Industry 4.0 (IIoT) is changing the face of manufacturing like never before. Global situation of tariff war and re-shoring are catalysts driving this change in addition to technology adaption.
Check out this Comparative Analysis between Industry 4.0 (IIoT) and SCADA systems to understand the basic differences between the two.
Industry 4.0 IIoT adopts a top-down approach going from business use-cases and fragmented into simpler technical use-cases. This approach ensures that IIoT has a direct impact on business goals by adoption of Industry 4.0.
We at ENERCO adopt an iterative or agile approach which is the most popular software development models. The difference here is that the agile methodology is applied to the entire project as a system.
The IIoT audit consists of understanding the existing business, manufacturing plant setup, technical processes, business processes, equipment set up etc. In addition to understanding the present setup the IIoT audit also consists of detailed discussions with the plant team from various divisions including business, maintenance and production.
Upon understanding a firm’s business goals it is transformed into a simple system architecture in this stage. This basic architecture consists of an outline of the proposed IIoT solution based upon the existing setup as well as expectations from the proposed solution.
In a nutshell, IIoT Audit forms the stepping stone on the larger goal and strategic objective of attaining Industry 4.0 for a Manufacturing Company.
IIoT is often presented as a revolution that is changing the face of industry in a profound manner. In reality, it is an evolution that has its origins in technologies and functionalities developed by visionary automation suppliers more than 15 years ago. As the necessary global standards mature, it may well take another 15 years to realise the full potential of IIoT. Over this period of time the changes to the industry will be far reaching. The good news is that end users and machine builders can now leverage their existing investments in technology and people while taking advantage of available new IIoT technologies.
Introducing IIoT solutions using a “wrap & re-use” approach, rather than a “rip & replace” approach will enable greater business control. In addition, this measured approach will drive the evolution towards a smart manufacturing enterprise that is more efficient, safer, and sustainable. The emergence of the IIoT megatrend has created both hope and confusion among stakeholders responsible for operating industrial plants. Much of the early hype was focused on the impact of technological advancements on existing automation platforms.
Industry 4.0, the 4th Industrial revolution, is redefining manufacturing in 2020.
Smart Factory, Smart Manufacturing, Digital Manufacturing, Artificial Intelligence, Big Data etc. are commonly herd terms nowadays. But what exactly do they mean? What is Industry 4.0? What were Industry 1.0, 2.0 and 3.0? How does Industry 4.0 positively impact the way a Factory manufactures? What are the benefits of Industry 4.0? How can a factory become a Smart Factory? How to get started with Industry 4.0 journey? How to achieve manufacturing excellence using Industry 4.0 route? What is Digital Manufacturing and Smart Manufacturing?
These and some of these questions are answered in this updated (July 2020) Industry 4.0 IIoT Webinar Presentation (PPT, PDF).
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.
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
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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.
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.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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.
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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
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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
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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
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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.
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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
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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/
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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.
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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.
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From: Luke A. Renner, How Can Artificial Intelligence Be Applied in Manufacturing?
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• 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
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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
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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)
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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
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II | INDUSTRY NEXT MANUFACTURING @ MCNAIR, UOFSC
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing18
Digital Cell
Actual Cell
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III | CONNECTED MANUFACTURING: SMART IOT AS SOLUTION
Dr Harik's neXt LIVE with Dr. Amit Sheth on AI in Manufacturing19
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http://wiki.aiisc.ai/index.php/Smart_Data
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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.
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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
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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
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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
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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.
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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
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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
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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
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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
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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
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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
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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
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Prognostics: probabilities
that the system can fail in
different time horizon/
Maintenance decision.
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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
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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
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40. THANK YOU!
neXt LIVE with Dr. Ramy Harik
For more information email harik@cec.sc.edu
Slide layout by Alex Brasington