The industrial internet of things present the fastest growing IoT market, aiming for reduction in cost, TTM and rise in quality.
This is the presentation from the Israeli System e.g conference.
Manufacturing though is increasingly being outsourced, developed countries like Germany are toying with the idea of digitizing the entire process to bring down costs and enhance efficiencies. Learn how Germany is doing it, through Industry 4.0.
Industry 4.0 Technology signifies the conception of the fourth industrial revolution. The previous three revolutions in the Industry sphere are Mechanical Production, Mass Production, and Digital Transformation. While it can be said that the Smart Factory Industry 4.0 is a mix of the previous three revolutions, however, it is much more effective than that.
Saudi Arabia IoT in Manufacturing Market Forecast 2025 | TechSci ResearchTechSci Research
According to www.techsciresearch.com latest report- Saudi Arabia IoT in Manufacturing Market, By Component (Solutions, Platforms and Services), By Application Area (Predictive Maintenance, Business Process Optimization, etc.), By Vertical (Energy & Utilities, Automotive, Food & Beverages, Aerospace & Defence, etc.) By Company, Competition, Forecast & Opportunities, 2025.
Report URL- https://www.techsciresearch.com/report/saudi-arabia-iot-in-manufacturing-market/2052.html
Key Findings:
- We are in an industrial revolution… right now!
- User Experience must extend “from the screen to the shop”
- Security considerations continue to increase in scope
- AWS infrastructure and SMART COSMOS platform services are powerful options for realizing Industry 4.0
Manufacturing though is increasingly being outsourced, developed countries like Germany are toying with the idea of digitizing the entire process to bring down costs and enhance efficiencies. Learn how Germany is doing it, through Industry 4.0.
Industry 4.0 Technology signifies the conception of the fourth industrial revolution. The previous three revolutions in the Industry sphere are Mechanical Production, Mass Production, and Digital Transformation. While it can be said that the Smart Factory Industry 4.0 is a mix of the previous three revolutions, however, it is much more effective than that.
Saudi Arabia IoT in Manufacturing Market Forecast 2025 | TechSci ResearchTechSci Research
According to www.techsciresearch.com latest report- Saudi Arabia IoT in Manufacturing Market, By Component (Solutions, Platforms and Services), By Application Area (Predictive Maintenance, Business Process Optimization, etc.), By Vertical (Energy & Utilities, Automotive, Food & Beverages, Aerospace & Defence, etc.) By Company, Competition, Forecast & Opportunities, 2025.
Report URL- https://www.techsciresearch.com/report/saudi-arabia-iot-in-manufacturing-market/2052.html
Key Findings:
- We are in an industrial revolution… right now!
- User Experience must extend “from the screen to the shop”
- Security considerations continue to increase in scope
- AWS infrastructure and SMART COSMOS platform services are powerful options for realizing Industry 4.0
The Internet of Things (IoT), which gives users the ability to control their devices from wherever they are, is moving into industrial automation. Intelligent automation devices and industrial computing enable seamless integration, simplify the way you connect.
Advanced manufacturing syposium 2016 siaa colin kohColin Koh (許国仁)
Abstract:. Smart Nation, Advanced Manufacturing, IoT and Robotics are the few key focus area in Singapore to ensure economic grow by improving productivity, efficiency and drive innovation. There are still many challenges ahead at the same time provide opportunity for emerging SMEs and start-up. This presentation will highlight the Digitisation of automation technology and current stage of standard development in IoT and Robotics from the industry perspective.
Industry 4.0 represents the fourth industrial revolution in manufacturing and industry. Industry 4.0 is the current industrial transformation with automation, data exchanges, cloud, cyber-physical systems, robots, Big Data, AI, IoT and (semi-)autonomous industrial techniques to realize smart industry and manufacturing goals in the intersection of people, new technologies and innovation. IoT (Internet of Things), the convergence of IT and OT, rapid application development, digital twin simulation models, cyber-physical systems, advanced robots and cobots, additive manufacturing, autonomous production, consistent engineering across the entire value chain, thorough data collection and provisioning, horizontal and vertical integration, the cloud, big data analytics, virtual/augmented reality and edge computing amidst a shift of intelligence towards the edge (artificial intelligence indeed with a convergence of AI and IoT and other technologies): these are some of the essential technological components of the fourth industrial revolution. Those are quite a lot of terms and components indeed. Yet, Industry 4.0 is a rather vast vision and, increasingly, a vast reality that also stretches beyond merely these technological aspects. It is an end-to-end industrial transformation.
Industrie 4.0, digitalization, standards and norms, Smart Factory, disruptive business models, ENGINEERING 2050, components of a Smart Factory, Industrie 4.0 for small and medium–sized companies, Internet of Things, Cloud Security, from Big Data to Smart Data, IT security for industrial processes
Industry 4.0 is a name given to the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things, cloud computing and cognitive computing. Industry 4.0 is commonly referred to as the fourth industrial revolution.
Industry 4.0 is the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things and cloud computing. Industry 4.0 creates what has been called a “smart factory
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 Internet of Things (IoT), which gives users the ability to control their devices from wherever they are, is moving into industrial automation. Intelligent automation devices and industrial computing enable seamless integration, simplify the way you connect.
Advanced manufacturing syposium 2016 siaa colin kohColin Koh (許国仁)
Abstract:. Smart Nation, Advanced Manufacturing, IoT and Robotics are the few key focus area in Singapore to ensure economic grow by improving productivity, efficiency and drive innovation. There are still many challenges ahead at the same time provide opportunity for emerging SMEs and start-up. This presentation will highlight the Digitisation of automation technology and current stage of standard development in IoT and Robotics from the industry perspective.
Industry 4.0 represents the fourth industrial revolution in manufacturing and industry. Industry 4.0 is the current industrial transformation with automation, data exchanges, cloud, cyber-physical systems, robots, Big Data, AI, IoT and (semi-)autonomous industrial techniques to realize smart industry and manufacturing goals in the intersection of people, new technologies and innovation. IoT (Internet of Things), the convergence of IT and OT, rapid application development, digital twin simulation models, cyber-physical systems, advanced robots and cobots, additive manufacturing, autonomous production, consistent engineering across the entire value chain, thorough data collection and provisioning, horizontal and vertical integration, the cloud, big data analytics, virtual/augmented reality and edge computing amidst a shift of intelligence towards the edge (artificial intelligence indeed with a convergence of AI and IoT and other technologies): these are some of the essential technological components of the fourth industrial revolution. Those are quite a lot of terms and components indeed. Yet, Industry 4.0 is a rather vast vision and, increasingly, a vast reality that also stretches beyond merely these technological aspects. It is an end-to-end industrial transformation.
Industrie 4.0, digitalization, standards and norms, Smart Factory, disruptive business models, ENGINEERING 2050, components of a Smart Factory, Industrie 4.0 for small and medium–sized companies, Internet of Things, Cloud Security, from Big Data to Smart Data, IT security for industrial processes
Industry 4.0 is a name given to the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things, cloud computing and cognitive computing. Industry 4.0 is commonly referred to as the fourth industrial revolution.
Industry 4.0 is the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things and cloud computing. Industry 4.0 creates what has been called a “smart factory
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 competitive landscape of the Internet of ThingsIoTAnalytics
The competitive landscape of IoT
Competitive forces and companies shaping the Internet of Things
Vienna Global IoT Day, 9 April 2015
Knud Lasse Lueth, Founder of IoT Analytics
Agenda:
Introduction
Part 1: How IoT changes competitive forces
Part 2: The companies and technologies making IoT happen
Conclusion
1. The value of the Internet of Things lies beyond the connectivity – It comes with smart analytics and ecosystem-enablement
2. Entire industry forces are changing due to IoT. Some industries may experience higher profits. Companies need to be aware of potential lock-out.
3. The “new” IoT infrastructure is being created now – Hardware including sensors and processors, communication, software, and application.
4. The top IoT companies in terms of “share-of-voice” currently are: Intel, Microsoft, Cisco, Google, IBM
5. US startup funding in the IoT area is much larger than German or Austrian IoT investment activity
Internet of Things (IoT) patents can provide insights regarding the state of the art and technical details of the IoTinnovations. Following patent analysis is based on TechIPm’s patent research for the most promising IoT startups that are listed in CB Insights’ 2017 The Industrial IoT: 125+ Startups Report (https://www.cbinsights.com/research/top-startups-iiot/).
The Internet of Things: Impact and Applications in the High-Tech IndustryCognizant
As both makers and users of the Internet of Things (IoT), high-technology companies stand to gain both sales and process efficiencies by deploying IoT technologies throughout their operations. We provide a guide to benefits to be realized by semiconductor fabs, distributors, contract manufacturers and OEMs from IoT enablement and deployment, and a brief road map of first steps.
The Most Definitive guide to Industrial IoT ImplementationAditya Basu
Industrial IoT has the potential of USD 15.3 trillion to the global economy by 2030 subjected to an improvement of 1-1.5%. Industrial Internet is a revolutionary technology that enhances the Industrial environment with the IoT capabilities. IIoT helps to solve the bottlenecks in the business environment, provides operational efficiency, increases productivity and reduces the complexity of the process.
The main benefit of Industrial IoT is the connected enterprise that enhances the visibility across various departments and benefits with a smooth workflow. According to General Electric CEO, Jeff Immelt, IIoT has twice the market potential than that of the consumer IoT.
In this Guide you will know everything about
a) The Connected Factory! Role of IIoT
b) Evolution of IIoT to Industry 4.0
c) Industrial IoT Ecosystem
d) Value Chain Players today and what you can learn from them
e) How IIoT is Different from IoT
f) Technology Drivers and Adoption
g) Market Indicators and why you should jump the Bandwagon NOW!
h) Market Revenues and Areas of Focus
i) The Digitization Wave
j) Real World Industrial IoT Case Studies Including Solutions & Outcomes
Industry 4.0 and Internet of Things (IoT)- The Emerging Marketing TrendsSuyati Technologies
Internet technology is often counted as the third industrial revolution that has ushered in epic changes to the world of business. And today, we are welcoming what is named as the fourth industrial revolution – the convergence of physical things with the world of the internet- named as the Internet of Things. INDUSTRIAL INTERNET OF THINGS (IIoT) is renowned as the PRIMARY way to improve operational efficiency in manufacturing domain. By 2030, $15 trillion of global GDP will come from Industrial IoT, and in another 15 years, IIoT will add $14.2 trillion to global economy. Industry 4.0 promises new business models that disrupt existing ecosystems.
View our infographic to understand the emerging marketing trends created by Industry 4.0 and IoT: http://suyati.com/industry-4-0-and-iot/
Industrial Internet of Things: Recipe for Innovating the Businesses through...Eurotech
The search for business sustainability is pushing companies to become more efficient thought a strategic rethinking of the business process while the market is shifting from products to services. To truly transform the business model, organizations need to connect and collect actionable data from their assets and processes, and invest in IT tools and resources. To make this happen, Eurotech has designed and implemented an Industrial IoT solution that dramatically simplifies the transformation of a business into a smart business.
Indented IoT innovations status:Landscape for the published patent applications and issued patents in the USPTO as of 4Q 2015 that specifically describe some relationships with the IoT in their disclosures.
Specific technologies, products, and services regarding the indented IoT innovations.
Landscape for the issued patents and published applications in the USPTO as of 4Q 2015 that are related to the M2M communication.
Landscape for the published patent applications and issued patents in the USPTO as of 4Q 2015 that are related to the smart home, connected car, and connected health applications.
Patent information can provide insights regarding the state of the art of the IoT innovations. Patent applications regarding the IoT innovations that specifically describe some (direct or indirect) relationships with the IoT are a good indicator of the indented IoT innovations in a specific innovation entity. To find the indented IoT innovations status, published patent applications and issued patents in the USPTO as of 4Q 2015 that specifically describe some relationships with the IoT in their disclosures are reviewed. More than 800 patent applications are selected. As show in the figure, the key indented IoT innovation players are Cisco, Samsung Electronics, Qualcomm, Convida Wireless, IBM, KETI, Ericsson, Belkin International, Microsoft, Tata Consultancy, and Intel.
Practical deep learning for computer visionEran Shlomo
This is the presentation given in TLV DLD 2017. In this presentation we walk through the planning and implemintation of deeplearning solution for image recognition, with focus on the data.
It is based on the work we do at dataloop.ai and its customers.
This is a 2 hours overview on the deep learning status as for Q1 2017.
Starting with some basic concepts, continue to basic networks topologies , tools, HW/Accelerators and finally Intel's take on the the different fronts.
This is a single day course, allows the learner to get experience with the basic details of deep learning, first half is building a network using python/numpy only and the second half we build the more advanced netwrok using TensorFlow/Keras.
At the end you will find a list of usefull pointers to continue.
course git: https://gitlab.com/eshlomo/EazyDnn
Intel and Amazon - Powering your innovation together. Eran Shlomo
In these slides we go over the current joined offering from Intel and amazon, the coming great technologies and how the two companies are creating synergy that boost your innovation and productivity.
This was presented in TLV AWS loft Mar 2017.
This is a python course for beginners, intended both for frontal class learning as well as self-work.
The Course is designed for 2 days and then another week of HW assignments.
Intel RealSense & Depth cameras expected usage in the coming years.
Robotics, Drones, Autonomous cars, Gestures, 3D scanning, Bio signature and many others.
Code and some more technical details are available at https://github.com/IntelRealSense/librealsense
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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
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.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
2. About me
Haifa IoT Ignition lab and IPP(Intel ingenuity partnership program) tech lead.
Intel Perceptual computing.
Compute, cloud and embedded expert.
Maker and Entrepreneur
Focus on Data science and Machine learning in recent years
3. Agenda
What is the 4th industrial revolution
Background
IIoT Impact on old indicators: Cost, Quality and TTM
IIoT Impact on new products and business models.
7. IIoT – Why(besides the cool buzz) ?
IIoT is the leading IoT segment, revenue driven.
Every business will go heavily on tech or lose
Existingmarkets
• TTM
• Cost
• Quality
Newmarkets
• New
technologies
• New models
8. The TTM factor
Faster iterations Market research tools New funding models
Live upgrades Easy prototyping Information
9. The cost factor
Predictive maintenance Real time monitoring Machine labor
Smart supply chain Throughput optimization New transportation models
10. The quality factor
Smart inspection Fast feedback Sense tech
Product ID warranty and protection Safety
11. New technologies – New product opportunities for
every business
Remote work AR/VR M2M
Autonomous machines Ux Disruption AI Workers
12. New business models – New value opportunities all
around
Data == +$$$ Data == -$$ Blue collar jobs redefined
DAO – Distributed org Makers Personalization
13. How will (not) adopting IIoT will feel ?
Time
Lets invest some $$$
in IIoT
We think we figured it
out, lets invest some
$$
Small success
We have better
margins, lets go after
more market share
Revenues are up, lets
invest more tech $$$
We think we figured it
out, lets invest some
$$
What is IIoT ? We are solid Competition is on
Prices are low,
market is tough
We have margins
problem
Next…
No adoption
Adoption
