Track: Artificial Intelligence

This panel will explore real-world use cases of AI enabling environmental and social sustainability. Discover how AI in agriculture can perform intelligent crops monitoring via computer vision by drones. Learn how AI can help in smart grid energy management with advanced analytics (predictive + prescriptive). See how AI can support the understanding of climate change and the modeling of its impacts, and enable better and automated garbage sorting through computer vision. Learn how smart buildings and smart cities will benefit from AI adoption thanks to edge computing with local inference.

Home appliance technology is simple: You push a few buttons and food is cooked, clothes are washed, and perishable products stay fresh. Much more happens behind the scenes, however, from the use of robotics and IT/OT technologies on the manufacturing line to the key roles data analytics, AI, and remote sensing play from delivery to the point where consumers plug in and use smart, connected appliances.

The inside of data centers is loud and hot — and keeping servers from overheating is a major factor in the cost of running them. It’s no surprise then that the big players in this space all look for different ways of saving cooling costs. This session will explore how Google is looking to its AI models for some extra savings.

With roads being more and more congested, intelligent transport systems are key in providing sustainable transport solutions for transport. Combining datas sources opens new opportunities for re-thinking how mobility is being organized. In this session, we present the Mobilidata project, a large scale deployment project supported by the Flemish government and imec. By combining sensing and data analysis, Mobilidata creates innovative traffic solutions that help make traffic flow more smoothly, more sustainably and more safely for every road user.

Leveraging AI can help healthcare organizations take a patient-centered approach to technological implementations, empowering clinicians with patient information as quickly as possible to find abnormalities faster and contact patients sooner for follow-up appointments that can save lives. Learn how Atlantic Health System’s technology implementation framework resulted in the successful integration of over a dozen artificial intelligence solutions to work in concert with our existing imaging review tools and how these implementations optimize the patient-doctor connection.

Tapping into valuable data is a must for powering digital twins and AI, but trust is an issue. Many companies are still reluctant to move valuable operational data off premises—not just for costs, but due to security—making it hard to run analytics and discover insights. Of course, they are willing for the right use case, but the industry has been stuck trying to find these cases, while lacking the data to do so. Accenture and Schneider Electric share how new protections address customer concerns to enable increased data sharing and IP reuse.

Recent rapid advancement of AI has driven a significant interest on ethical issues – from unintended consequences of using AI, securing AI from adversaries, to distributing wealth created by machines. While there are plenty of publications on Ethics and AI in recent years, they tend to stay at high-level providing general notion of trust and trustworthiness along some of the key principles. In this multi-stakeholder panel, we will discuss how to operationalize ethical AI in an organization - sharing best practices, challenges and lessons learned.

The quality of a welding spot is a critical step in the process of assembling of the body of a car.Today the quality of the welding spot is based on manual operation testing a small quantity of the production.In this session we will present a real-time “in process” technology for the analysis of welding spot quality (Resistance Welding Spot Process Analytics) using AWS IoT solutions and a machine learning model developed by Audi. This new technology, predicts the quality of the weld spot, detects production anomalies and identifies welding process optimization for newly produced vehicles.

Digital twin use is being recognized in virtually every major industry, and, when combined with AI is providing the means to automate at scale the management of big data and drive the decision-making process. Our panel of experts will explore use cases that illustrate how digital twins and innovations in AI are transforming industrial operations and creating additional business value.

Flying Forward is a 3-year collaborative EU-funded research project to develop a new Urban Air Mobility ecosystem. It incorporates Urban Air Mobility within a geospatial data infrastructure of cities. AIs and Spatial Twins are at the heart of that new infrastructure. They use sensor fusion and provide the capabilities to govern the behavior of autonomous drones flying in urban areas and integrate legal and spatial policies in the simulation and execution of the scenarios. (e.g. infrastructure inspection, delivery, surveillance)

Clinical trials are the way in which pharmaceutical companies ensure patients safety and measure the effectiveness of the treatment. In the last three years there has been a rise in decentralized clinical trials (DET). In this presentation the clinical artificial intelligence company Legit.Health reveals the work they have done along side the pharmaceutical company Almirall. By using computer vision during clinical trials they have uncovered a window into the future of clinical trials, with higher probability and lower costs.

To support startup companies to grow in the market of Home and Building automation, KNX Association has released the KNX startup incubator program, which provides resources and visibility to startup companies committed to develop KNX IoT based solutions. Thanks to this Forum startup companies will find its way to position their own solutions and devices into the biggest home and building ecosystem in the world. This workshop will cover the following topics: o Introduction to the KNX community & technolgy o Technology insights o Business highlights o Current startups & 1st IoT Case Study o Benefits overview and service providers o Startup competition - a 90 sec speech contest o Prizes and closing

Smart manufacturing is revolutionizing the way the industrial world works. From robotics, to automation, to data analysis, manufacturers can dramatically improve their processes and gain a competitive edge. By connecting industrial assets, processes, people, and analytics, manufacturers can capture real-time data from their production chain and use this data to optimize their operations and make better decisions on how to allocate resources for maximum efficiency. Michelangelo will discuss Merck’s vision and roadmap from ManuFacturing to SmartFacturing.

Amid 2020’s supply-chain disruptions—clogged ports, limited flights, and sick and quarantined workers—Danish logistics company Maersk, still managed to ship almost 13 million containers filled with PPE, exercise equipment, work-from-home essentials, and more. DISCOVER MORE The company is on a transformational journey to transform itself into an end-to-end integrator of container logistics while carrying a fifth of the world’s trade through its network of ships, terminals & warehouses. Explore how IoT is enabling end-to-end visibility in the supply chain industry.

Nearly every business today is impacted by disruptions and uncertainties in the supply chain. The solution for many is to take an agile approach agility, although this can often result in higher costs. Be too conservative and lean and you may miss opportunities to address new market demands or expand market share. In this panel, supply chain veterans will discuss the challenges facing today’s supply chains, including the lack of supply chain visibility and poor business intelligence. They’ll also reveal how AI and enabling tools and tactics can be used to provide intuitive agility and adapt supply chains to new and evolving business models.

New business models for machine tools, such as "pay per part", require a rethink in the operation of a "smart factory". Trained machine operators usually no longer work physically in the factory. Operation takes place remotely or fully automated. AI and secure location-independent data processing enable an unprecedented level of efficiency within the smart factory.

Maintenance is a key driver of manufacturing excellence. It is also a means to provide a better understanding of the production environment. The ability to make informed decisions about maintenance scenarios allows end customers to improve the performance of the machines they operate. Pfeiffer Vacuum has partnered with STMicroelectronics to develop optimized solutions for monitoring and predicting equipment condition. By using AI to identify and address potential problems at their earliest signs, before failures occur, companies can minimize equipment downtime and increase overall efficiency.