Restarting Operations after a Shutdown

Object Management Group is a non-profit organization dedicated to advancing technology through participation across member companies. Now over thirty years old, OMG began as a standards development organization, publishing standards such as CORBA and UML. With over 225 specifications to its name OMG has continued to develop technologies through membership communities. The Industrial Internet Consortium (IIC) established seven years ago, and Digital Twin Consortium last year. These programs focus on particular technical and business aspects of various technology enablers, developing technologies and best practices to bring back to member companies.

Other communities formed by OMG include BPM+ Health, Consortium for Information & Software Quality, and the DDS Foundation. This webinar will explore opportunities for collaboration between OMG programs. For example, controlling multiple sensors from different vendors is ripe for standardization; digital twins are a technology enabler for the industrial internet. Member companies in one program frequently have an interest in others, so we offer limited cross-program participation.

Bill Hoffman, President of OMG, will be joined by each program’s chief technical officer for a brief overview of each organization followed by a panel discussion and Q&A session. Please join the webinar to learn more about how you can accrue value from OMG and its programs.

Over the past few years, McLaren and Dell Technologies have been on a journey to test the limits of digital transformation in F1 Racing and bridge the gap between the physical world and its virtual copy, the digital twin. In this quest to leverage the power of data-driven transformation, McLaren has maintained their leadership through a culture of innovation, matched with advanced technology that supports outcome-based decision making.

Working with real-time data and analytics is critical for their engineers’ productivity as they manage race day inputs of some 300 sensors on an F1 car that collects an average of 100 gigabytes of data per car. This requires complex AI/ML algorithms and simulation, real-time insights, and a software/hardware infrastructure delivered at scale just in time. This partnership and innovation have fuelled McLaren to successfully apply what they learned to other areas of their business the average person may not know them for - such as healthcare and transportation.

In this session McLaren and Dell Technologies will discuss:
• The Digital Twin concept and how McLaren leverages it across their business
• Reduced cost of development, testing and certification using AI/ML and simulation
• Level of trust in the digital twin
• Applying the technology to power other verticals such as healthcare and transportation

Edge compute takes advantage of the vast array of data being captured far outside of your data center, and brings the ability to harness, process and reap the rewards of that data faster than ever before. It is about combining the power of physical data proximity with real-time analysis, and turning it into a fantastic user experience for your customers, and cost savings for your clients. It is all about choices – having the right data available in the right place, at the right time.

It’s also complicated. It needs investment, and really smart people to understand use cases, intended outcomes and metrics. Join us on Feb. 16th for the fundamentals and a framework to help you get started.

*Due to the large number of registrations for this event, we have extended the length to 75 minutes for additional Q&A if needed.

The Industrial Internet Consortium RFP Toolkit is a collection of best practices and online tools to help guide users on their Digital Transformation DX Journey. It helps IIoT project managers and procurement managers/buyers through the process of procuring all the different components and resources required for a complete end-to-end IIoT solution. The toolkit helps users create and manage effective RFPs for IIoT solutions, helping to ensure that users of IIoT technology are getting the best possible IIoT solution for the most affordable price. Join us for a demonstration of the RFP Toolkit and Wizard that walks you through a series of guided questions in order to generate an RFP for your DX project.

The Port of Montreal mobilized its entire partner ecosystem to implement an AI-driven solution that aims to fast-track the delivery of critical cargo containers from the port to the market in an act of humanitarian goodwill. CargO2AI leverages Natural Language Processing (NLP) algorithms to treat vast amounts of unstructured and incomplete data and identify incoming critical medical cargo on inbound vessels. Containers are identified prior to vessel berthing and once they are offloaded, a visibility dashboard tracks and traces prioritized containers from dock to truck and rail departures, ensuring speedy delivery to the market and to frontline workers in the fight against COVID-19. Saving lives, one container at a time.

AI is enabling the digital transformation reach its anticipated potential. This transformative field has impact on areas that range from technology to trustworthiness to Ethics to societal concerns to governance to verticals. Similarly, the stakeholders are numerous and diverse ranging from technologists to practitioners to social scientist and regulators. In reaction to this revolution, the industry and standardization ecosystem have mobilized to the variety of concerns. This session will look at the activities and landscape from an industry and standardization perspective. It will also provide an overview of the latest activities in ISO/IEC JTC 1/SC 42. SC 42 (Artificial Intelligence) is the international standards committee that carries out standardization activities for artificial intelligence. It is set up as a joint committee.

Part 1 of this webinar will provide insights into the necessary key ingredients to transform your manufacturing business with AI.

- A proven methodology to get AI from a first lighthouse case to driving value at scale

- How to democratize AI throughout the entire organization – the people dimension

- Overview of AI use cases throughout the entire manufacturing value chain and the value they deliver

This presentation will be followed by a conversation between SAS and SSAB about Digital Transformation of the Steel Industry,.

SSAB is pursuing the journey of digitalization and analytics in order to remain a world leading steel company. With a key focus on further development of digitalization, increasing the rate of new product development and adapting new technologies for materials processing, Carl will share his insights as we discuss SSAB’s mission, vision and initiatives as well as challenges and learnings.

Adoption of AI in IoT applications currently presents multiple challenges. Everything should start by identifying the most important problems and opportunities for end users. In high-performance sailing, a clear opportunity was identified: improving the autopilot. This talk will provide an update on the initial presentation of this project at IOTSWC 2019. Join us to explore the technical efforts and achievements using recurrent neural networks, deep reinforcement learning, and optimization techniques, combined with domain knowledge to produce an autopilot that can operate either as a digital twin of the sailor, or develop its own style and strategy. Discover how solution co-creation between end user, subject matter experts, data scientist, academics, among others, takes place using an agile approach. You will see how implementation of solution, which spanned culture and process changes (not just technology) was undertaken (digital transformation program).

A short journey through the history of AI in Rolls-Royce – applied to Engine Health Monitoring and its transfer across the business including high value, business critical manufacturing. We will explore the ethical and trustworthiness challenges, for example bias and AI mutation, associated with implementing AI into business – both critical and non-critical business areas. Learn how Rolls-Royce developed and deployed implementation frameworks to ensure the ethical and trustworthy deployment of AI, and embedded these into ‘business as usual’ procedures.

Digital technologies are changing the world, and dramatically improving the way that organizations operate. The steel industry is no exception, and steel manufacturers face a huge opportunity to transform their operational model, enabling them to improve operational efficiency, customer service, inventory levels and profit margin. Borçelik, Turkey’s most modern galvanized steel sheet manufacturer, with the largest manufacturing capacity in the country, uses AI and Machine Learning to optimize production and supply chain. This session will explore several use cases that illustrate how AI helps to improve the productivity by looking at past data to predict the future.

IoT technologies simplify remote access and continuous-time data sourcing from connected devices. Remote management and control capabilities, combined with AI/ML techniques, help organizations to improve industrial efficiency and operational predictability.

However, the increasing use of black-box techniques for predictive diagnostics about the health of machines in factories or spare capacity in smart city transportation systems introduces a new element in decision making. How trustworthy is a predicted failure if it leads an engineer to shut down a production line? Or, how dependable are predictions about car parking spaces or shared bikes for commuters planning their city centre journeys?

Explainable AI (XAI) is at the cutting edge of new techniques to increase confidence in predictions and to reason about diagnostics from AI and ML systems. XAI is also a key enabler to enforce digital rights under GDPR-like regulations.

This panel will consider new developments in the field of AI, their implications for data life-cycle management and, the interplay between IoT and AI/ML disciplines when designing more dependable and trustworthy systems.

• Industrial and manufacturing sector is expected to spend over $350 billion on AI & Smart Manufacturing by 2023

•However, less than 30% of AI & Digital Transformations programs are successful

•Gain a more realistic perspective on the challenges and best practices of implementing AI at the manufacturing floor and concrete use cases

•Learn how to best utilize Human and Artificial Intelligence to maximize productivity in manufacturing

- AI on the way to productivity plateau means e.g. with clear benefit to automotive application systems

- Possibilities of AI in Paint Applications specially under consideration of using robot technology, here introducing 2 aspects

- Case study: AI to support predictive maintenance and thereby improve uptime of paint automation system

- Outlook: AI to support robot programming

The insurance industry is quickly being disrupted by AI and its related suite of technologies such as IoT, big data, machine learning, natural language understanding, face recognition, facial analytics, image recognition, chatbots, robotic process automation, etc. AI is powering the digital transformation of the insurance industry, through fully digital frictionless customer experience, more efficient and effective backend processes, as well as innovative products, services, and business models. For life and medical insurers, such as Prudential plc, there are increased use of AI to help customers become and stay healthier through better fitness, dieting, wellness, chronic illness management, as well as AI doctor and telemedicine. This talk explores the AI revolution that is happening now in the insurance industry and benefits it brings to consumers.

Factory of the Future has an evolving definition but some elements are always in common. It is the product of fast-changing disruptive technologies hitting manufacturing. When AI meets Automation, it enables the vision of autonomous production within reach for the first time. ML running on embedded hardware is becoming an effective option. In this session, we will discuss use case of an Embedded ML implementation into a manufacturing process that enabled an autonomous manufacturing such that it self-adjust equipment settings adaptively without the need for engineers or technician's reacting to remedy problems. The factory of the future provides potential to innovate and grow doing tasks that are more challenging. Autonomous technologies can cater to what is repeatable. The Factories of the Future will be far more data-driven and agile. It is a new beginning for Manufacturing.

This moderated Panel discusses how to apply AI to accelerate the outcomes of Industrial Digital Transformation. The Panelists will discuss Transformation in sectors like industrials manufacturing, semiconductors and chemicals as well as the public sector. Specific case studies and examples will highlight the stakeholder benefits and the realized ROI. Finally, the Panel will discuss the organizational changes required to unleash the full potential of AI in the Transformation journey.

Achieving digital transformation in manufacturing environments requires an understanding of technology capabilities and business models and an ecosystem of collaborating partners. Established in 1959, MESS (Association of Mining, Metals, and Manufacturing) is the THE foremost Association for resources in smart manufacturing of mining, metals, and electronics within the country of Turkey and Eastern Europe. This premier resource for innovation with Smart Factories has been preparing for I4.0 since the 3rd Industrial Revolution!

Join us for a 60-minute guided (virtual) tour of the MESS (MEXT) regional hub and Center for Technology and Innovative Studies, plus a discussion on how the country is utilizing their $200 million investment to train 40,000 industrial employees with an extensive curriculum around digital transformation and enabling technologies.

Tour will be followed by Q&A based on audience questions for our experts on site at MESS in Turkey.

Digital Transformation (DX) projects require unique procurement skills to navigate the considerations needed when building an RFP. The procurement process for a typical IoT project is quite different from that of an enterprise software project. IIC offers online tools and help guide IIoT project managers and procurement managers/buyers through the sourcing process, from the make vs buy decision to the actual RFPs for a complete end-to-end DX project. Join IIC members as they walk you through the differences and how to set up yourself for success when embarking on your DX journey.