The Center for Self-Aware Machining and Metrology (CSAM) is pushing the boundaries of both theory and practice in the manufacture of high-precision parts with new methods that combine physics-based models and machine learning to achieve new standards of machining process control.
Advanced condition monitoring system for rotating machinesalmassa group
The document discusses advanced condition monitoring systems for rotating machines developed by Koncar Monitoring Systems. It describes their modular monitoring solutions that can be customized for different industries and machine types. The systems help optimize maintenance, reduce costs, and extend machine lifetime by detecting problems early through continuous monitoring of key parameters. Koncar also offers portable diagnostic instruments, training, expert support services, and research to help clients maintain their equipment more efficiently.
A next-gen maintenance solution should bring a digital transformation to the plant and should feature a user-friendly interface so each team member is eager to work with it. The industry 4.0 CMMS can be easily integrated in the context of the IoT, cloud and cognitive computing to become an indispensable part of the smart factory.
The document discusses Zoutman Industries, a Belgian company that produces and processes salt. It implemented a Laboratory Information Management System (LIMS) from Siemens called SIMATIC IT Unilab to increase efficiency in its quality control laboratory and better support production. The initial phase of the LIMS implementation included functions like sample registration, assigning analysis plans, viewing analysis results and specifications, and approving or rejecting sample releases. Future phases may include instrument integration and interfacing the LIMS with other systems. The document also discusses how transformational technologies are influencing manufacturing and the need for integrated digital enterprise software suites to improve speed, flexibility and efficiency.
10 good reasons to go for model-based systems engineering in your organizationSiemens PLM Software
This presentation explains the concepts of model-based systems engineering and introduces the LMS Imagine.Lab platform and how it supports the mbse implementation.
For more information, please visit our website: www.siemens.com/plm/simcenter-amesim
The document discusses SINAMICS G180 drives from Siemens. It provides an overview of SINAMICS G180 compact units, cabinet systems, and cabinet units. It describes the benefits of SINAMICS G180 drives, which include being tailored for hazardous zone applications and leveraging over 40 years of experience from LOHER Drives & Systems. It also discusses customized "Engineered to Order" solutions that can be provided.
Condition Monitoring and Maintenance Management for Precision Component Manuf...IRJET Journal
This document discusses condition monitoring and maintenance management for precision component manufacturing machines. It explains that minor deviations in machine performance can affect product quality, so maintenance is essential. Condition monitoring is useful for predicting failures before they occur. Maintenance management also plays a crucial role in maintaining process capability, availability, and reducing downtime and costs. The document evaluates different condition monitoring techniques and discusses how maintenance management systems can support precision manufacturing through computerized record keeping, performance tracking, and process capability monitoring. Overall, it argues that both condition monitoring and maintenance management are important for running precision machines within defined production limits.
Advanced condition monitoring system for rotating machinesalmassa group
The document discusses advanced condition monitoring systems for rotating machines developed by Koncar Monitoring Systems. It describes their modular monitoring solutions that can be customized for different industries and machine types. The systems help optimize maintenance, reduce costs, and extend machine lifetime by detecting problems early through continuous monitoring of key parameters. Koncar also offers portable diagnostic instruments, training, expert support services, and research to help clients maintain their equipment more efficiently.
A next-gen maintenance solution should bring a digital transformation to the plant and should feature a user-friendly interface so each team member is eager to work with it. The industry 4.0 CMMS can be easily integrated in the context of the IoT, cloud and cognitive computing to become an indispensable part of the smart factory.
The document discusses Zoutman Industries, a Belgian company that produces and processes salt. It implemented a Laboratory Information Management System (LIMS) from Siemens called SIMATIC IT Unilab to increase efficiency in its quality control laboratory and better support production. The initial phase of the LIMS implementation included functions like sample registration, assigning analysis plans, viewing analysis results and specifications, and approving or rejecting sample releases. Future phases may include instrument integration and interfacing the LIMS with other systems. The document also discusses how transformational technologies are influencing manufacturing and the need for integrated digital enterprise software suites to improve speed, flexibility and efficiency.
10 good reasons to go for model-based systems engineering in your organizationSiemens PLM Software
This presentation explains the concepts of model-based systems engineering and introduces the LMS Imagine.Lab platform and how it supports the mbse implementation.
For more information, please visit our website: www.siemens.com/plm/simcenter-amesim
The document discusses SINAMICS G180 drives from Siemens. It provides an overview of SINAMICS G180 compact units, cabinet systems, and cabinet units. It describes the benefits of SINAMICS G180 drives, which include being tailored for hazardous zone applications and leveraging over 40 years of experience from LOHER Drives & Systems. It also discusses customized "Engineered to Order" solutions that can be provided.
Condition Monitoring and Maintenance Management for Precision Component Manuf...IRJET Journal
This document discusses condition monitoring and maintenance management for precision component manufacturing machines. It explains that minor deviations in machine performance can affect product quality, so maintenance is essential. Condition monitoring is useful for predicting failures before they occur. Maintenance management also plays a crucial role in maintaining process capability, availability, and reducing downtime and costs. The document evaluates different condition monitoring techniques and discusses how maintenance management systems can support precision manufacturing through computerized record keeping, performance tracking, and process capability monitoring. Overall, it argues that both condition monitoring and maintenance management are important for running precision machines within defined production limits.
AUTOMATION IN AUTOMOTIVE MANUFACTURING
The automotive industry is the most highly automated manufacturing industry. A myriad of robotics, programmable controllers and drive systems work in a real-time process environment.
Automotive manufacturing systems need to be highly accurate, efficient and reliable.
Machines rely on complex automation platforms, employing advanced and powerful PLC systems to precisely control multi-axis interpolated motion sequences.
Industry code programming standards such as IEC 61131 have helped improve machine automation programming tremendously.
Automation in machine tools helps meet production targets:
• For machines used by automotive manufacturers such as press lines, welding lines, painting lines, engine assembly and chassis assembly lines
• For machines used by Tier 1 manufacturers to produce ancillaries such as brakes, connecting rods, pistons, clutches, transmission components like steering and axles, differential gear boxes, etc.
Digital enterprise intro requirements collaboration for elec v11 may 2020Trey Reeser
Digital Enterprise - Collaboration Productivity Xcelerator.
See how Siemens Xcelerator is a catalyst for the Digital Enterprise. View what kind of impact that can have on a business that sets out to transform and become a Digital Enterprise. Consider how to change your business to maintain high productivity levels with remote workers.
Gemsons Precision Engineering Private Limited (GPEPL), Established in 1982 as a manufacturing and job-shop for subcontract machining, is now transformed into a modern machine shop certified for ISO 9001 and AS 9100 Quality management systems
The traditional plywood manufacturing process usually requires a large amount of manpower and produces a significant amount of waste material. Then there is the question of safety hazards associated with manually operated machines. Therefore, manufacturers are always looking for ideas that reduce dependency on manpower, improve efficiency and boost overall productivity.
Our client was no different. They approached Messung for a cost-effective solution to control their plywood processing plant.
The document discusses MIIMETIQ, a solution that uses connected intelligent machines and the Internet of Things to improve industrial machine efficiency and productivity through predictive maintenance and remote monitoring. Key benefits of MIIMETIQ include optimized running costs, historical analysis of machine usage, creation of alerts and reports, and integration with business systems to improve inventory management, introduce new business models, and enhance customer value. A case study highlights how MIIMETIQ helped one machinery company optimize maintenance, improve product quality control, and gain a competitive advantage by remotely connecting and managing thousands of machines.
(www.indiamart.com/briightindustrialsolution) We Briight Industrial Solution are a Sole Proprietorship firm engaged in manufacturing premium quality range of Human Interface Machine, Vision Inspection System, SCADA System, PLC System, AC Servo Motor, etc.
OPTIMIZATION IN MES BY IMPLEMENTING SMART ANDON SYSTEM FOR PRODUCTIVITY ENHAN...IRJET Journal
This document summarizes a study on optimizing a manufacturing execution system (MES) by implementing a smart Andon system to enhance productivity. The study was conducted at a Tata Motors plant in India.
The existing Andon system had limitations and did not provide real-time error analysis capabilities. The researchers developed a new smart Andon system using digital dashboards in Excel connected to data from the programmable logic controller. The new system classifies errors, tracks error frequency and downtime, and performs root cause analysis to identify ways to reduce errors and downtimes. Comparisons showed the new smart Andon system provided more detailed error information and analysis capabilities compared to the traditional system. The goal is to identify issues, reduce
The document is a catalog from Siemens for their SIMOTION motion control system. It provides an overview of the SIMOTION system approach which combines motion control, PLC and technology functions. It describes the various SIMOTION hardware platforms including controller-based SIMOTION C, PC-based SIMOTION P and drive-based SIMOTION D. It also summarizes the SIMOTION engineering software and runtime modules that provide programming and control functions.
The belt center distance measurement is standard practice to measure the center distance of the flat belt and V belt. The objective of the system is to find out the exact center distance and belt override of the belts.
Some constituents of the testing apparatus are:
⮚ Pulleys - to stretch the belt and insert it
⮚ Load Cell - to measure the load or belt tension
⮚ Transducer - to calculate the belt override
⮚ Servo system - to generate the desired load
⮚ Magnetic Linear Scale - to measure the distance
ABOUT DEHUMIDIFIERS
•A machine that removes excess moisture from the air.
•Industrial dehumidifiers are built to be transported and used in several hard-wearing locations.
•Commercial and industrial dehumidifiers reduce mold, condensation dripping from pipes or windows, and eliminate musty smells.
The document discusses challenges faced by the wind turbine industry including reducing costs while maintaining profitability and flexibility. It introduces the Real Time Decision Support System (RTDSS) software that analyzes real-time turbine performance data to identify equipment issues and maximize power generation and reliability. The software enables users to monitor individual turbines or entire wind parks and make timely decisions to minimize downtime and maintenance costs.
Uses of Computers in Manufacturing and production sectorNingela Weasley
This presentation covers the following topics:
-Uses and importance of computers in the manufacturing sector
-Uses of Computer Aided Designing(CAD)
-Uses of Computer Aided Manufacturing(CAM)
-Uses of Computer Integrated Manufacturing(CIM)
-Uses internet in the manufacturing sector
AUTOMATION IN PLASTIC INDUSTRY
The plastic industry relies increasingly on automation to improve productivity, reduce operating costs and create innovative products.
Automation in plastic industry has helped to reduce the human content in the manufacturing process, enhancing accuracy, speed and quality, especially in repetitive tasks.
Messung's connections with India's plastic industry goes back three decades.
Based in Pune, Messung develops customised automation and control solutions for automation in plastic machinery and automation in plastic manufacturing process.
With more advanced diagnostics, controls, and tremendous growth in software sophistication, Messung’s industrial automation and control can help manufacturers rise to the challenge of constantly-growing demands for lower cost and optimisation
The document describes the SAWTEQ S-300 and S-310 saws from HOMAG. The saws combine performance, speed, reliability and intelligence. They offer increased performance with lower energy consumption and improved ergonomics. The saws can be configured as single saws or angular saw units. A wide range of optional features allow them to be customized. The saws include CADmatic 5 software for intuitive operation. Additional optional software and features include cutting optimization, operator guidance systems, and automatic part handling equipment.
Siemens provides automation solutions for the automotive industry to help manufacturers increase productivity and profitability. Their solutions include integrated hardware and software that can optimize production processes, reduce costs throughout the product lifecycle, and increase flexibility to produce different models on the same line. Siemens also aims to maximize system availability through digital engineering, predictive maintenance, and comprehensive services and support.
The document discusses control systems and sensors for mobile vehicles. It outlines the requirements for electronics used in mobile applications, including withstanding extreme conditions, reliable diagnostics, safe operating concepts, and reducing wiring complexity through distributed systems and bus networks. The goal is to enable reliable and competitive machines through electronic solutions that meet high standards for mobile use.
The document describes Siemens' SIMATIC PCS 7 process control system and related technology components. It provides an overview of the SIMATIC PCS 7 TeleControl system which allows monitoring and controlling remote units. The TeleControl Engineering Station is used to configure remote stations, and the TeleControl Operator System integrates remote units into the SIMATIC PCS 7 process control system for centralized monitoring and control. The technology components can expand the functionality of the PCS 7 system for tasks such as automation, industry-specific systems, process visualization, and more.
Cognitive Predictive Maintenance for AutomotiveAnita Raj
In a world grappling with unanswered challenges and hidden data, the need of the hour is to unravel the dark mysteries that surround the auto industry today. It’s time to change the machine game and unlock the true human potential. It’s time to improve the overall quality of life for workers and passengers and ensure no leaf is unturned when it comes to safety and efficiency. Cognitive predictive maintenance is the game changer, that holds the key to minimizing auto recall.
The document describes the new SIMATIC PCS 7 Controller from Siemens, which is a powerful, robust and flexible automation controller. It can be flexibly scaled to meet different performance needs without replacing hardware by adding expansion cards. The controller offers improved ruggedness and cost optimization over previous controllers.
This presentation by OECD, OECD Secretariat, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
AUTOMATION IN AUTOMOTIVE MANUFACTURING
The automotive industry is the most highly automated manufacturing industry. A myriad of robotics, programmable controllers and drive systems work in a real-time process environment.
Automotive manufacturing systems need to be highly accurate, efficient and reliable.
Machines rely on complex automation platforms, employing advanced and powerful PLC systems to precisely control multi-axis interpolated motion sequences.
Industry code programming standards such as IEC 61131 have helped improve machine automation programming tremendously.
Automation in machine tools helps meet production targets:
• For machines used by automotive manufacturers such as press lines, welding lines, painting lines, engine assembly and chassis assembly lines
• For machines used by Tier 1 manufacturers to produce ancillaries such as brakes, connecting rods, pistons, clutches, transmission components like steering and axles, differential gear boxes, etc.
Digital enterprise intro requirements collaboration for elec v11 may 2020Trey Reeser
Digital Enterprise - Collaboration Productivity Xcelerator.
See how Siemens Xcelerator is a catalyst for the Digital Enterprise. View what kind of impact that can have on a business that sets out to transform and become a Digital Enterprise. Consider how to change your business to maintain high productivity levels with remote workers.
Gemsons Precision Engineering Private Limited (GPEPL), Established in 1982 as a manufacturing and job-shop for subcontract machining, is now transformed into a modern machine shop certified for ISO 9001 and AS 9100 Quality management systems
The traditional plywood manufacturing process usually requires a large amount of manpower and produces a significant amount of waste material. Then there is the question of safety hazards associated with manually operated machines. Therefore, manufacturers are always looking for ideas that reduce dependency on manpower, improve efficiency and boost overall productivity.
Our client was no different. They approached Messung for a cost-effective solution to control their plywood processing plant.
The document discusses MIIMETIQ, a solution that uses connected intelligent machines and the Internet of Things to improve industrial machine efficiency and productivity through predictive maintenance and remote monitoring. Key benefits of MIIMETIQ include optimized running costs, historical analysis of machine usage, creation of alerts and reports, and integration with business systems to improve inventory management, introduce new business models, and enhance customer value. A case study highlights how MIIMETIQ helped one machinery company optimize maintenance, improve product quality control, and gain a competitive advantage by remotely connecting and managing thousands of machines.
(www.indiamart.com/briightindustrialsolution) We Briight Industrial Solution are a Sole Proprietorship firm engaged in manufacturing premium quality range of Human Interface Machine, Vision Inspection System, SCADA System, PLC System, AC Servo Motor, etc.
OPTIMIZATION IN MES BY IMPLEMENTING SMART ANDON SYSTEM FOR PRODUCTIVITY ENHAN...IRJET Journal
This document summarizes a study on optimizing a manufacturing execution system (MES) by implementing a smart Andon system to enhance productivity. The study was conducted at a Tata Motors plant in India.
The existing Andon system had limitations and did not provide real-time error analysis capabilities. The researchers developed a new smart Andon system using digital dashboards in Excel connected to data from the programmable logic controller. The new system classifies errors, tracks error frequency and downtime, and performs root cause analysis to identify ways to reduce errors and downtimes. Comparisons showed the new smart Andon system provided more detailed error information and analysis capabilities compared to the traditional system. The goal is to identify issues, reduce
The document is a catalog from Siemens for their SIMOTION motion control system. It provides an overview of the SIMOTION system approach which combines motion control, PLC and technology functions. It describes the various SIMOTION hardware platforms including controller-based SIMOTION C, PC-based SIMOTION P and drive-based SIMOTION D. It also summarizes the SIMOTION engineering software and runtime modules that provide programming and control functions.
The belt center distance measurement is standard practice to measure the center distance of the flat belt and V belt. The objective of the system is to find out the exact center distance and belt override of the belts.
Some constituents of the testing apparatus are:
⮚ Pulleys - to stretch the belt and insert it
⮚ Load Cell - to measure the load or belt tension
⮚ Transducer - to calculate the belt override
⮚ Servo system - to generate the desired load
⮚ Magnetic Linear Scale - to measure the distance
ABOUT DEHUMIDIFIERS
•A machine that removes excess moisture from the air.
•Industrial dehumidifiers are built to be transported and used in several hard-wearing locations.
•Commercial and industrial dehumidifiers reduce mold, condensation dripping from pipes or windows, and eliminate musty smells.
The document discusses challenges faced by the wind turbine industry including reducing costs while maintaining profitability and flexibility. It introduces the Real Time Decision Support System (RTDSS) software that analyzes real-time turbine performance data to identify equipment issues and maximize power generation and reliability. The software enables users to monitor individual turbines or entire wind parks and make timely decisions to minimize downtime and maintenance costs.
Uses of Computers in Manufacturing and production sectorNingela Weasley
This presentation covers the following topics:
-Uses and importance of computers in the manufacturing sector
-Uses of Computer Aided Designing(CAD)
-Uses of Computer Aided Manufacturing(CAM)
-Uses of Computer Integrated Manufacturing(CIM)
-Uses internet in the manufacturing sector
AUTOMATION IN PLASTIC INDUSTRY
The plastic industry relies increasingly on automation to improve productivity, reduce operating costs and create innovative products.
Automation in plastic industry has helped to reduce the human content in the manufacturing process, enhancing accuracy, speed and quality, especially in repetitive tasks.
Messung's connections with India's plastic industry goes back three decades.
Based in Pune, Messung develops customised automation and control solutions for automation in plastic machinery and automation in plastic manufacturing process.
With more advanced diagnostics, controls, and tremendous growth in software sophistication, Messung’s industrial automation and control can help manufacturers rise to the challenge of constantly-growing demands for lower cost and optimisation
The document describes the SAWTEQ S-300 and S-310 saws from HOMAG. The saws combine performance, speed, reliability and intelligence. They offer increased performance with lower energy consumption and improved ergonomics. The saws can be configured as single saws or angular saw units. A wide range of optional features allow them to be customized. The saws include CADmatic 5 software for intuitive operation. Additional optional software and features include cutting optimization, operator guidance systems, and automatic part handling equipment.
Siemens provides automation solutions for the automotive industry to help manufacturers increase productivity and profitability. Their solutions include integrated hardware and software that can optimize production processes, reduce costs throughout the product lifecycle, and increase flexibility to produce different models on the same line. Siemens also aims to maximize system availability through digital engineering, predictive maintenance, and comprehensive services and support.
The document discusses control systems and sensors for mobile vehicles. It outlines the requirements for electronics used in mobile applications, including withstanding extreme conditions, reliable diagnostics, safe operating concepts, and reducing wiring complexity through distributed systems and bus networks. The goal is to enable reliable and competitive machines through electronic solutions that meet high standards for mobile use.
The document describes Siemens' SIMATIC PCS 7 process control system and related technology components. It provides an overview of the SIMATIC PCS 7 TeleControl system which allows monitoring and controlling remote units. The TeleControl Engineering Station is used to configure remote stations, and the TeleControl Operator System integrates remote units into the SIMATIC PCS 7 process control system for centralized monitoring and control. The technology components can expand the functionality of the PCS 7 system for tasks such as automation, industry-specific systems, process visualization, and more.
Cognitive Predictive Maintenance for AutomotiveAnita Raj
In a world grappling with unanswered challenges and hidden data, the need of the hour is to unravel the dark mysteries that surround the auto industry today. It’s time to change the machine game and unlock the true human potential. It’s time to improve the overall quality of life for workers and passengers and ensure no leaf is unturned when it comes to safety and efficiency. Cognitive predictive maintenance is the game changer, that holds the key to minimizing auto recall.
The document describes the new SIMATIC PCS 7 Controller from Siemens, which is a powerful, robust and flexible automation controller. It can be flexibly scaled to meet different performance needs without replacing hardware by adding expansion cards. The controller offers improved ruggedness and cost optimization over previous controllers.
Similar to 2022 Consortium for Self-Aware Machining and Metrology (20)
This presentation by OECD, OECD Secretariat, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
This presentation by Tim Capel, Director of the UK Information Commissioner’s Office Legal Service, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
This presentation by Yong Lim, Professor of Economic Law at Seoul National University School of Law, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
This presentation by Nathaniel Lane, Associate Professor in Economics at Oxford University, was made during the discussion “Pro-competitive Industrial Policy” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/pcip.
This presentation was uploaded with the author’s consent.
This presentation by Juraj Čorba, Chair of OECD Working Party on Artificial Intelligence Governance (AIGO), was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
Suzanne Lagerweij - Influence Without Power - Why Empathy is Your Best Friend...Suzanne Lagerweij
This is a workshop about communication and collaboration. We will experience how we can analyze the reasons for resistance to change (exercise 1) and practice how to improve our conversation style and be more in control and effective in the way we communicate (exercise 2).
This session will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
Abstract:
Let’s talk about powerful conversations! We all know how to lead a constructive conversation, right? Then why is it so difficult to have those conversations with people at work, especially those in powerful positions that show resistance to change?
Learning to control and direct conversations takes understanding and practice.
We can combine our innate empathy with our analytical skills to gain a deeper understanding of complex situations at work. Join this session to learn how to prepare for difficult conversations and how to improve our agile conversations in order to be more influential without power. We will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
In the session you will experience how preparing and reflecting on your conversation can help you be more influential at work. You will learn how to communicate more effectively with the people needed to achieve positive change. You will leave with a self-revised version of a difficult conversation and a practical model to use when you get back to work.
Come learn more on how to become a real influencer!
Why Psychological Safety Matters for Software Teams - ACE 2024 - Ben Linders.pdfBen Linders
Psychological safety in teams is important; team members must feel safe and able to communicate and collaborate effectively to deliver value. It’s also necessary to build long-lasting teams since things will happen and relationships will be strained.
But, how safe is a team? How can we determine if there are any factors that make the team unsafe or have an impact on the team’s culture?
In this mini-workshop, we’ll play games for psychological safety and team culture utilizing a deck of coaching cards, The Psychological Safety Cards. We will learn how to use gamification to gain a better understanding of what’s going on in teams. Individuals share what they have learned from working in teams, what has impacted the team’s safety and culture, and what has led to positive change.
Different game formats will be played in groups in parallel. Examples are an ice-breaker to get people talking about psychological safety, a constellation where people take positions about aspects of psychological safety in their team or organization, and collaborative card games where people work together to create an environment that fosters psychological safety.
This presentation by Professor Giuseppe Colangelo, Jean Monnet Professor of European Innovation Policy, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
This presentation by OECD, OECD Secretariat, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
This presentation by OECD, OECD Secretariat, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
Carrer goals.pptx and their importance in real lifeartemacademy2
Career goals serve as a roadmap for individuals, guiding them toward achieving long-term professional aspirations and personal fulfillment. Establishing clear career goals enables professionals to focus their efforts on developing specific skills, gaining relevant experience, and making strategic decisions that align with their desired career trajectory. By setting both short-term and long-term objectives, individuals can systematically track their progress, make necessary adjustments, and stay motivated. Short-term goals often include acquiring new qualifications, mastering particular competencies, or securing a specific role, while long-term goals might encompass reaching executive positions, becoming industry experts, or launching entrepreneurial ventures.
Moreover, having well-defined career goals fosters a sense of purpose and direction, enhancing job satisfaction and overall productivity. It encourages continuous learning and adaptation, as professionals remain attuned to industry trends and evolving job market demands. Career goals also facilitate better time management and resource allocation, as individuals prioritize tasks and opportunities that advance their professional growth. In addition, articulating career goals can aid in networking and mentorship, as it allows individuals to communicate their aspirations clearly to potential mentors, colleagues, and employers, thereby opening doors to valuable guidance and support. Ultimately, career goals are integral to personal and professional development, driving individuals toward sustained success and fulfillment in their chosen fields.
This presentation by Katharine Kemp, Associate Professor at the Faculty of Law & Justice at UNSW Sydney, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
This presentation by OECD, OECD Secretariat, was made during the discussion “Pro-competitive Industrial Policy” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/pcip.
This presentation was uploaded with the author’s consent.
This presentation by Thibault Schrepel, Associate Professor of Law at Vrije Universiteit Amsterdam University, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
The importance of sustainable and efficient computational practices in artificial intelligence (AI) and deep learning has become increasingly critical. This webinar focuses on the intersection of sustainability and AI, highlighting the significance of energy-efficient deep learning, innovative randomization techniques in neural networks, the potential of reservoir computing, and the cutting-edge realm of neuromorphic computing. This webinar aims to connect theoretical knowledge with practical applications and provide insights into how these innovative approaches can lead to more robust, efficient, and environmentally conscious AI systems.
Webinar Speaker: Prof. Claudio Gallicchio, Assistant Professor, University of Pisa
Claudio Gallicchio is an Assistant Professor at the Department of Computer Science of the University of Pisa, Italy. His research involves merging concepts from Deep Learning, Dynamical Systems, and Randomized Neural Systems, and he has co-authored over 100 scientific publications on the subject. He is the founder of the IEEE CIS Task Force on Reservoir Computing, and the co-founder and chair of the IEEE Task Force on Randomization-based Neural Networks and Learning Systems. He is an associate editor of IEEE Transactions on Neural Networks and Learning Systems (TNNLS).