Name: Advancing the Intelligence of Factories through Machine Learning
Start: 2018-04-04T18:15:00Z
End: 2018-04-04T18:16:03.000Z
Location: BrightTALK
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The Industry IoT Consortium is a global, member-supported, organization that promotes the accelerated growth of the Industrial Internet of Things by coordinating ecosystem initiatives to securely connect, control and integrate assets and systems of assets with people, processes and data using common architectures, interoperability and open standards to deliver transformational business and societal outcomes across industries and public infrastructure.

Join us on December 15 for a live webinar that unravels the Gen AI revolution, a game-changer in technological history. While offering unprecedented benefits across various industries, it also raises critical questions about trust, ethics, and the potential for unintended consequences.

Explore the transformative power of Generative Artificial Intelligence and the challenges it presents. We'll delve into the distinction between impressive AI capabilities and true intelligence, addressing concerns related to accuracy, bias, and ethical outputs. The development of Key Performance Indicators (KPIs) will be highlighted, focusing on ensuring the trustworthiness of AI systems.

Navigate the evolving landscape of regulations, industry guidelines, and governmental efforts worldwide. Understand how Gen AI is poised to reshape communication, creative, financial, legal, manufacturing, medical, and science & technology sectors. Concluding with a forward-looking perspective, we'll discuss the impact on the workforce, intellectual property, and the need for a shift in cognitive approaches. Join us for an insightful exploration into the future, balancing the promises and challenges of Generative AI. Reserve your spot now for an engaging discussion on responsibly navigating this revolutionary technological landscape.

Generative AI and Sustainability

Governments, social scientists, technologists, and even the heads of AI organizations are expressing concerns about the potential misuse of the power unleashed by Foundation Models and Generative AI. Many nations and organizations have already started taking steps to regulate this powerful technology to prevent possible misuse and disruption of the societal fabric. Fear and concerns are synonymous with the approach toward nuclear technology worldwide. 

The teams of the Object Management Group (OMG) Responsible Computing Initiative launched a Tiger team to study and evaluate the potential concerns regarding Generative AI Techniques (GAIT) and recommend ways to channel the capabilities of GAIT responsibly to benefit society. 

Specific objectives include investigations on how to:

- Instill trust and reduce bias in the data used to build GAI models.
- Recommend proper and ethical use of AI models whilst protecting the intellectual rights of authors, artists, and other professionals.
- Regulate the proliferation of AI models to ensure no disruptive effects on employment, society, and the environment.
- Educate the consumers, administrators, and governmental bodies on the dangers and limitations of excessive use of AI models.

The different tracks of this initiative are:

• Ensure trustworthy Generative AI Models, which must be based on accurate and unbiased data.
• Impact on the Labor market, especially many white-collar jobs like copywriters, interpreters, and even professionals like investment advisors, editors, lawyers, customer support professionals, creative writers, doctors, etc.
• Issues related to IP, copyright violation, ownership, royalty, etc.
• Impact on the environment with the power-hungry deep learning process to build(train) GAI models.

Michael Linehan (OMG) and Cheranellore Vasudevan (IBM) will present their thoughts as they start their work on this initiative.

Responsible Generative AI

Lucile and Stephane motivate you to see IT differently in this thought-provoking presentation. Starting by introducing responsible computing and green IT, they move on to show what makes a typical web page, what happens with the processing, and why many parts can be removed, saving energy, costs, and improving user retention, which is linked together.

How to Spot the Waste in IT and Web Development

Digital technologies are now embedded in the critical infrastructure for countries, companies, homes, and almost all aspects of human life. 2021 saw technology lose its halo of trust, according to the Edelman Trust Barometer - https://www.edelman.com/trust/2021-trust-barometer/trust-technology. Why is this the case? Should we care? What should we do about this? Responsible Computing is the first industry-wide initiative that addresses leaders' anxieties and restores trust in digital professionals. This talk will help you understand the practical things you can do today to rebuild trust in digital technologies. 

To learn more or get involved, visit: https://responsiblecomputing.net/

Why We Need Responsible Computing Now More Than Ever

More than ever before, organizations are under growing pressure to deal with rapidly changing market conditions, while they face a relentless barrage of digital technologies (example IoT, AI, Digital Twin) that threaten to disrupt their business and market position. Digital Transformation (DX) is the application of such technologies with the goal of disrupting business and operational models and delivering new outcomes and value to the market. The need for transformation is especially acute in organizations that operate major IoT systems in their enterprise solution stack. The inherent IT/OT divide in these systems and the significant differences between IT and OT disciplines (business, technology, operation, organization, culture, etc.) compound the complexities of transformation. This webinar will explore these issues and present a framework that addresses the tactical and strategic aspects of the digital transformation journey.

The journey of Digital Transformation in the IoT era

Connectivity is essential for digitalization and perhaps the most important driver for innovation across many industries. While open standards are widely used throughout the IT world, industries with deterministic requirements such as production, automotive and professional audio/video tend to use proprietary, specialized systems with limited interoperability.
Time-Sensitive Networking (TSN) is the next evolutionary step of IEEE Ethernet, combining the benefits of a flexible IT network with deterministic guarantees. Therefore, TSN is a critical enabler of innovation. 
Join The Industry IoT Consortium (IIC) and Mitsubishi Electric to learn how the IIC provides a platform for collaboration, discussion, prototyping, and testing, focusing on cross-vendor interoperability. Hear from Mitsubishi Electric on putting TSN into practice with their organization and for their customers.

Time Sensitive Networking and the Future of Connectivity

The audience for this webinar includes owners of IoT systems, decision makers, security leaders
in various verticals, business risk managers, system integrators, architects, security assessors,
analysts, policy and regulatory authorities, and other stakeholders concerned about the proper
strategy for the implementation of mature security practices tailored to the needs and
constraints of the specific IoT system.

Those using this SMM should be able to determine and clearly communicate to management the
answers to the following questions:

• Given the organizational requirements and threat landscape, what is my solution’s target
maturity state?
• What is my solution’s current maturity state?
• What are the mechanisms and processes that will take my solution’s maturity from its
current state to its target state?

IoT Security Maturity Model Digital Twin Profile

We believe that “patterns” is a term that you can see nowadays at every corner, in neuroscience, artificial intelligence, data science, architecture, etc. So, it is everything but nothing? Because of this, practitioners have the impression that patterns are of no practical use and are more something for academia. However, this is wrong. Architectural patterns or design patterns can be very helpful when it comes to solution design, especially in complex environments or new domains.     
 
Patterns provide an implicit and replicable view of system development. When experts solve a new problem in a given context, they do not develop an entirely and distinct new solution. Instead, they recall a solution and reuse the essential parts of this solution to solve the new problem.
 
The Industry IoT Consortium (IIC) aims to accelerate and optimize technology innovation by reusing existing patterns. The inherent knowledge of experts, provided in a compact form, may power new solutions across industries. IIC has introduced a Patterns Collection Initiative for knowledge exchange, patterns discussions, and an ecosystem of support that helps find new approaches to driving innovation.
 
Please join us for this Webinar to learn
• What are patterns? 
• What are the benefits of pattern usage for architecture design? 
• How to identify, create and use patterns? 
• What are pattern examples? 

Member experts of the Industry IoT Consortium’s Patterns Task Group will share examples of Patterns developed by IIC members and discuss tools and methodologies for patterns development and application. The team will share information on our Patterns Collection Initiative and how patterns are being used in industry today.
 
Speakers include:
• Eric Simmon 
• Daniel Burkhardt
• Chuck Byers

Practical Use of Patterns in Internet of Things Systems

We’ve all heard of the various cryptocurrencies, such as Bitcoin and Ethereum, which rely on distributed ledger technologies (DLTs), such as blockchain, to provide decentralization and immutability. Industrial companies use DLTs for everything from shipping-container tracking, vehicle identity and history, to energy trading and farm-to-store tracking. But what about the operational impact of these peer-to-peer distributed ledgers on the service provider network, for example, in terms of network load? Are there certain architectures that work better than others? Conversely, are there any opportunities for service providers to leverage DLT’s to provide additional services or improve the network’s overall performance, for example, managing routing state, user membership information, or others? We analyze here how blockchains affect a service provider network.

Impact of Distributed Ledgers on Provider Networks

Digital transformation is fostering the evolution of the manufacturing industry, entering a new era of smart manufacturing. Manufacturers face challenges in integrating systems across manufacturing hierarchy, domain boundaries, and lifecycle phases. To benefit from the full potential of smart manufacturing, it is vital to take a realistic and stepped approach for manufacturing improvements. Improving the ROI and making smart manufacturing happen with an applicable implementation roadmap. The article illustrates the interconnecting process in smart manufacturing and introduces the Smart Manufacturing Kaizen Level (SMKL) to build up the capability at various stages of the implementation of DX. The article also provides actual lessons learned case studies, such as empowering workers' productivity and integrating OT and IT, to show the effectiveness of utilizing maturity performance management and capturing the values in smart manufacturing.

Continuous Improvement (Kaizen) Approach for Realistic DX in Smart Manufacturing

On September 29, 2021, the Industry IoT Consortium held a virtual information day entitled "Fuel Your Digital Transformation Journey." The five videos that follow comprise the panels and presentations of the day. In this video, IIC CTO Stephen Mellor lays out the agenda for the day.

Fuel Your Digital Transformation Journey: Introduction

Bob Martin, a leading expert on Trustworthiness Security, discusses how to achieve trustworthiness security with your supply chain. He is the Senior Principal Engineer at MITRE, a member of the IIC Steering Committee and Co-Chair of the Industrial IoT Trustworthiness Task Group.

Fuel Your Digital Transformation Journey: Trustworthiness for Supply Chains

Chuck Byers, Associate CTO of the Industry IoT Consortium, takes an inside look at 10 disruptive new technologies in the IoT space.

Fuel Your Digital Transformation Journey: Top 10 Tech Trends

Scott MacKenzie of Industrial Talk Media hosts a roundtable with some of the world's leading experts in Digital Transformation, including:  - Bob Martin, MITRE - Eddie Lee, Moxa - Edy Liongosari, Accenture - Seth DeSantis, GE Aviation

Fuel Your Digital Transformation Journey: Panel Discussion - DX in Action

Join Edy Liongosari, Chief Research Scientist at Accenture Labs, and Co-Chair of the IIC Thought Leadership Task Group, as he breaks down the role of AI in transforming businesses and society.

Fuel Your Digital Transformation Journey: AI & DX in Action

Scott MacKenzie of Industrial Talk Media summarizes the events of the day and provides links for more information. https://iiconsortium.org.

Fuel Your Digital Transformation Journey:  IIC Info Day Wrap-Up

Just as no two humans are exactly alike, no two enterprises are exactly alike. When it comes to Digital Transformation, common patterns have emerged that characterize successful digital initiatives across industries. Patterns provide an implicit and replicable view of system development. When experts solve a new problem in a given context, they do not develop an entirely and distinct new solution. Instead, they recall a solution and reuse the essential parts of this solution to solve the new problem.

The Industry IoT Consortium (IIC) aims to accelerate and optimize technology innovation by reusing existing patterns. The inherent knowledge of experts, provided in a compact form, may power new solutions across industries. IIC has introduced a Patterns Collection Initiative for knowledge exchange, patterns discussions, and an ecosystem of support that helps find new approaches to driving innovation.

Please join us for this Webinar to learn:
• What patterns are
• How to identify, create and use patterns 
• Which tools and methodologies may be used for pattern development
• Where you can submit and discuss your patterns or access the IIC’s Patterns Repository
Member experts of the Industry IoT Consortium’s Patterns Task Group will share examples of Patterns developed by IIC members and discuss tools and methodologies for patterns development and application. The team will share information on our Patterns Collection Initiative and how patterns are used in industry today.

Speakers include:
-Eric Simmon, Senior Scientist, NIST
-Daniel Burkhardt, GRT Lead, Ferdinand-Steinbeis Institute
-Daniel Young, Senior Manager, Toshiba

The Importance of Patterns in Digital Transformation

In the industrial realm, trustworthiness is multi-faceted, including safety, security, privacy, reliability, and resilience. Failed or compromised industrial devices can impact the health and safety of workers, cause damage to costly equipment, release pollutants into the environment, and disrupt operations for extended periods. Perhaps you’ve made huge strides and invested in your industrial systems. But do you TRUST them?  I mean, REALLY trust them?

Trustworthy software can withstand environmental disturbances, human error, system faults, and cyberattacks. Flight systems, medical devices, rail systems, supply chain and delivery, machine and plant failures -- it is all on the line. Join Industrial Internet Consortium Thought Leaders for a panel discussion on the impact of trustworthiness and available guidance that can prepare you to avoid and address a problematic situation by enabling continuous trustworthiness monitoring of devices.

Ensuring Trustworthy Industrial Systems: Take the Guesswork Out

Learn about IIC’s Smart Manufacturing testbed using machine learning for predictive maintenance to minimize unplanned down-times, optimize high volume manufacturing and increase productivity.

Advancing the Intelligence of Factories through Machine Learning

Machine Learning

Smart factory

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Advancing the Intelligence of Factories through Machine Learning

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