The COVID-19 pandemic is bringing many business activities to a near absolute halt. If you work in a product organization, activities that used to be routine such as a team meeting for a critical design review or sending a team of experts to walk the plant floor to investigate a product manufacturing quality problem are no longer possible.
Overnight, overly lean single-source supply chain strategies and hyper-speed agile product development practices exposed the fragility of many organizations’ product design and supply chain practices.
Will the coronavirus pandemic be a catalyst of innovation and drive organizations to invest in design collaboration and supply chain practices to minimize disruptions and improve operational resiliency? Or, perhaps, company leadership will be quick to forget the lessons of the coronavirus crisis and go back to pre-pandemic practices of leaning product lifecycle processes dangerously close to their breaking point?
Join Joe Barkai on April 23 at 11 AM EDT to discuss the lessons from the COVID-19 pandemic and the future of design collaboration in the post-COVID-19 era.
RecordedApr 23 202061 mins
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Thibaut d'Hérouville, VP Group Industrial Supply Chain, Michelin; Michel Morvan, Co-founder & Executive Chairman, Cosmo Tech
After the huge disruptions caused by the COVID-19 crisis, organizations are looking to get back on course and, more importantly, build for the future. In 2019, Gartner suggested that 75% of organizations would be implementing digital twins within the next year. This year, Accenture has positioned digital twins as one of the top five strategic technology trends to watch in 2021. In this session, Thibaut d'Hérouville, VP Group Industrial Supply chain, will explore Michelin’s approach to digital twins in supply chain and how this technology has supported them in their business resilience. Cosmo Tech’s co-founder, Michel Morvan, will also explain the definition of Simulation Digital Twins and present a few use cases on how the technology has helped companies be more agile, more efficient, more resilient, and more sustainable.
M. Hoffmann@ P33, P. Gokhale@ Super.tech, Y. Gamvros @GC Ware Corp., J. Covey @Univ. of Illinois U-C, & E. Stamm@ Protiviti
Quantum technologies are undergoing rapid change and will deliver transformational capabilities to many fields. Companies large and small are expanding the capabilities of quantum computers, governments are supporting quantum programs, and strides that are even taking the technology into space. This session will provide a practical overview of current state of the art of quantum computing applications. We will lift the hood and shine a light on show what quantum computing can deliver, its limitations, and what people should expect in terms of performance and progress in the years ahead.
There are problems that even the most powerful classical computers are unable to solve because of their scale or complexity. Quantum computers may be uniquely suited to solve some of these problems which could lead to new scientific breakthroughs such as better and cheaper medicines, methods to diagnose diseases sooner, new materials to make more efficient solar panels or other devices, and improved financial models that better capture value from the market.
But what exactly is quantum computing, what are the properties that make quantum computing advantageous, and at what types of problems are quantum computing best suited to solve? This session will provide a practical introduction to quantum computing concepts and applications.
NASA is broadly pursuing a digital transformation strategy across the junctures of its missions, technology, workforce, stakeholders and infrastructure. NASA is formulating its digital transformation strategy through six strategic thrust areas or digital building blocks of transformation. The digital transformation strategy is cross-cutting to escape silos and includes a thrust designated as “model-based everything” where digital models are integrated together and are projected to be the future standard of enterprise-wide functions. The digital twin methodology is foundational to understanding and integration of modeling and simulation across all of NASA’s ambitious thrusts of the transformation. The digital twin is interdisciplinary, integrating knowledge and methods from different disciplines and using a synthesis of approaches to enable synchronized decision-making with increasing complexity, velocity, confidence, and adaptability. John Vickers, one of the originators of the digital twin concept, will discuss priorities, challenges and use cases for NASA’s imperative of a digital twin-driven ecosystem.
Digital Twins are garnering a huge amount of attention. However, it requires intelligent products enabled by IoT to produce the data to drive accurate and useful Digital Twins during the operations phase of the product lifecycle. Dr. Grieves will discuss the characteristics that these intelligent Physical Twins need to posses.
Coined by Gartner in the Networking Hype Cycle and Market Trends report, Secure Access Service Edge (SASE) introduces a new architecture where networking and security functions are bundled in a cloud-delivered service. With more and more IoT applications shifting to the cloud and devices vastly dispersed, the combination of cloud-native security tools, local policy enforcement, and enhanced visibility makes SASE a winning use case. Join this session to find out how you can advance your business.
Marat Nuriev @ Kaspersky, and Ilya Naumov @ Kaspersky
IOT is always a complex and multi-level infrastructure. It consists of a huge number of devices, data transmission channels and other components that are based on different technologies and require different cybersecurity measures. Protecting IoT assets from cyberattacks can be difficult and costly. This session will explore an approach that can significantly save time and resources, and also provide protection for all components of given IoT infrastructure.
Digital Twins are gaining momentum when designing smart solutions in different application domains. However, there is a lack of open standards that warrant interoperability and portability of solutions, avoiding vendor lock-in.
During the presentation, we will review major developments in this area, focused on the adoption of a standard API for accessing Digital Twin Data and Smart Data Models. We will review how a Digital Twin approach enables data integration at different levels: architecting vertical smart solutions, within smart organizations and across organizations. At all levels interfacing with IoT, BigData, AI/ML, Blockchain or Robotics technologies.
Tim Scannell @ CIO Executive Council/IDC, Sandy Smith @ Kimball Electronics, and Ron Guerrier @ HP
2020 was a challenging and unpredictable year in terms of IT enterprise initiatives, workforce dynamics, customer engagements and corporate growth. Most companies succeeded in pivoting to work-from-home models to maintain business continuity and continue adapting to radically changing demands in buying and selling products and services, as well as new and more personal levels of customer experience engagements.
C. Byers@ IIC, T. Edmunds@ Dell Technologies, M. Gorlatova@ Duke Univ, M. Tseng@ Tseng Infoserv, & L.Canaran@ Ivado Labs
This panel will bring together experts on edge computing to provide practical advice on its architecture and deployment. We will explore use cases, requirements, architectures, implementation techniques, supplier ecosystems and ongoing deployments. Academic research, edge computing related standards, edge HW and SW subcomponents, testing, the economics of edge, and observations from large-scale deployments will be some of the topics of our conversation.
Applying artificial intelligence in the electric utility area enables new IoT business opportunities. Especially computer vision drives asset detection and quality inspection use cases. Though, getting customer value out of the rising trend of AIoT, it needs more than just pushing data to algorithms - it is about improving the customers’ process. In this use case session, we will explore how we gain service efficiency through Enterprise & Industrial AI for the application of low voltage networks - providing reliable power supply even to the customers under changed conditions of the energy transition.
Matt Hatton@ Transforma Insights, Alicia Asín@ Libelium, Allen Proithis@ Capstone Partners, & Phil Skipper@ Vodafone Business
A decade ago, connecting IoT devices was relatively simple. You put a SIM card into a 2G/GPRS modem and the device could go almost anywhere in the world, connect on at least one network, and data flowed via the public internet to the client. Simple, but not very flexible or cheap. In the intervening time much has changed. New connectivity tools have become available, including 5G, LPWA and eSIM, while trusty 2G is on the way out. The network architecture has also changed radically with the growth of cloud services, edge computing, private networks and the arrival of the hyperscalers. The last few years have also seen radical changes in pricing models that will have significant implications for years to come. In this session we discussion what the global IoT connectivity landscape in likely to look like in another decade, and what implications does that have for decisions we make today.
This presentation is based on analysis of hundreds of Digital Transformation implementations around the world. Each implementation was accessed and calibrated against 216 solution characteristics, with the aim of better understanding the prevailing trends in technology deployment and to extrapolate best practice.
We will discuss the deployment characteristics and motivations behind a range of use cases incorporating different Digital Transformation technologies, including Artificial Intelligence, Autonomous Robotic Systems, Data Sharing, Distributed Ledger, Human Machine Interface, Hyperconnectivity, Internet of Things, Product Lifecycle Management and Robotic Process Automation.
Identify the ‘sweetspots’: combinations of end-user verticals and use cases where the market is developing particularly quickly, or where the potential is particularly significant.
For too long, unlocking the value of digital in manufacturing has been centered around disruptive technology rather than business outcomes. The session explores the critical importance of business outcomes and the path towards a complete Equipment-as-a-Service transformation. Discover how to:
• bring the industrial pay-per-use model to life through real-life examples
• build business resilience in times of changing market conditions
Christian Dorfmueller @ Smart Factory (Kunshan) Co., Ltd.
Join us for a virtual tour of Smart Factory Kunshan, an IIoT Technology Hub and innovative environment for IIOT / Industry 4.0 activities from research to demonstration to education. This special tour illustrate how international and Chinese companies integrate and demonstrate their technology in the field of Industry 4.0 in a real-life production environment. During the tour, you will see several IIoT solutions installed in Smart Factory Kunshan, from collaborative robots, smart vending machine, remote monitoring, forklift management and more.
In this session you will learn first-hand from Hanna Hennig, Siemens CIO, how the company tackled the challenges arisen from physical assets meeting the virtual world. You will have the chance to hear about the role of connectivity, brownfield, data challenges, cybersecurity, the journey from pilot to rollout as well as AI and IoT skills shortage and breaking up silos culture. Tune in to discover how to address these barriers and what the key success factors when merging OT and IT are.
Peter Pugh-Jones @ SAS, Bobby Shkolnikov @ SAS, Pascal Bejstrup @ The Grain and Frédéric Anthone @ SPG Dry Cooling
Digital transformation has become a ubiquitous topic as organizations attempt to meet the demands of the ever-evolving market dynamics. However, very few organizations have been successful with execution, very often falling back to the traditional ways of doing business. The panel will discuss these challenges and how SPG, an innovative dry cooling condenser company; The Grain, a data science company focused on the industrial sector; and SAS, an analytics/AI company, were able to succeed through a collaborative effort of co-creation.
Michael Palmer @ Siemens, Elisa Ronka @ Siemens, Matthew Marson @ Arcadis, Eric Zhang @ Vanke, and Matthew Vogel @ Microsoft
The way we work is constantly changing and technology plays a pivotal role in enabling organizations to future proof their businesses. Whatever the workspace of the future may look like, it will be inevitably driven by people and designed around a user-centric approach, prioritizing employees needs whilst enabling productivity and efficiency. Throughout the panel we will explore the role of technology and data in creating human-centric buildings.
William David Hartell @ Stellae Energy, Nada Ahmed @ Aker Solutions and Elisabetta Puralli @ Eni
The Energy Industry is successfully facing the challenges of the Energy Transition with the help of Digital Transformation technologies and tools. The Energy Transition involves improving the energy efficiency of our facilities and reducing the amount of Greenhouse Gas Emissions and Waste. Carbon Capture, Utilisation, and Storage (CCUS) are progressing and being scaled with good Energy Industry projects in the UK and Norway. Another challenge from the Energy Transition is to increase the use of more Renewable Energies like Solar PV, Wind, Tidal Stream, and Geothermal. In addition to these technical challenges, the Energy Industry has faced economic challenges associated with disrupted energy markets over recent years including during COVID. Companies have needed to reduce costs whilst maintaining production efficiency and safety. Fortunately a range of disruptive technologies and tools have been progressed in parallel which have allowed the industry to meet these challenges. Improved IoT devices, Wireless Communications, Edge Processing, Cloud Data Platforms, Digital Twins, Advanced Analytics (including Machine Learning and AI), Robotics, and Virtual Reality / Augmented Reality tools have enabled the Energy Industry to change and meet the challenges.
In this session we will explore how to transform data to value. Discover a 3-D approach, based on (new) skills, strategy & governance and infrastructure. Learn how to put this in practice, using the example of Air Liquide's worldwide Smart Innovative Operations program that brings tangible results on the ground. We will discuss future perspectives for AI and Machine learning in the manufacturing industry and supported by examples of applications at Air Liquide.
The Industrial Internet 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.