Track: Artificial Intelligence & Cognitive Systems Forum

Artificial Intelligence (AI) is a key enabler of the fourth industrial revolution. The resulting digital transformation will affect how we work live and play in years to come. AI has been touted as a key enabler in this transformation. The goal of this session is twofold:

- To help you decipher AI: from what it is, to where it has been successfully used and made a significant impact, how to get started, and what the key concerns and challenges in deploying AI

- Discussing how AI will enable the digital transformation through a set of use cases

In this talk, we will share the results of a recent survey Accenture conducted with 1,300+ executives across a range of discrete and process producers in 16 countries to show how Artificial Intelligence, Analytics and Automation are making impact today. We will also share the key use-cases across a set of verticals ranging from Semiconductor to Healthcare, the benefits realized, and some of the challenges.

Cooking high quality bitumen economically with machine learning. We will talk about delivering optimal recipes for the producing of polymer modified bitumen (PMB): how bitumen differs from PMB, how you can save costs and get high-quality product using ML methods, what to do and what to avoid if you want to obtain robust outcomes with ML.

This session will explore a use case involving an edge-based solution for excavator bucket teeth wear and brakeage detection and granulometric analysis on the large open pit coal mine in Asia.

What if your machines, silent giants of your factory, come to life? Have you ever listened to them before? Do they have any mystery to share with you? Is it possible to find where my products are on the shop floor? Can I locate them easily and accelerate shipment process? Does this sound a bit weird? Absolutely not. This is possible.  All you need to do is to join us for a glimpse into Hugo Boss' factory of the future!

Learn how a leading hospital in Spain, Hospital Vall d'Heborn, is monitoring the stress of caregivers (60 participants) of children with neurological disorders by using physiological sensors to track physical activity, sleep patterns, movement and location. Discover how they have used the sensor data collected to help detect chronic stress and put resources towards managing it.  Discover the economic impact of this program, and how they have reduced the cost of visits, provided better knowledge and clinical decisions for the healthcare community and most importantly, improved the quality of life of caregivers and patients.

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.

The application of the AI in the Industrial IoT field is at the center of the next wave of digitalization. The Industrial Internet Consortium (IIC) is uniquely positioned to lead in this emerging area through its diverse stakeholders that include world leading IT and OT organizations, extensive IIoT ecosystem that it has built through its liaison program and its domain expertise in Industrial AI. This panel will look at the intersection of Industrial IoT and AI, specifically emphasizing the emerging work coming out of the IIC that includes technology deliverables driven by the Industrial AI Task Group, an overview of testbeds looking at Industrial AI applications, domain requirements and end-user interest in Industrial AI. 

The ability to integrate data-driven insights to transform field service operations over the next two to three years will determine whether servicing organizations remain competitive for the long term. This session explores a new use case in the realm of applied AI, with application to reducing repeat servicing visits, increasing equipment uptime, and assisting failure diagnosis in complex equipment. Join Hobart Service, a leader in commercial food equipment, and find out how they are leveraging decades of data and domain knowledge to power new competitive business models. This is first complete example of "Intelligence as a Product" that the repair organization has seen, and they are excited to share this story at IOTSWC!

AI is powering the breakneck transition from the Information Age to the Age of Intelligent Machines and creating profound changes in business and society. Autonomous cars, personalized medicine, chatbots and co-bots, and other types of intelligent machines promise to automate processes, boost efficiencies, and create new disruptive products and services. But these intelligent machines will also track our every move, create and expose societal biases, eliminate jobs, and, some fear, will one day develop a will of their own and go rogue. In his talk, Joe will offer a perspective on the future of AI and machine-learning technologies. He will explain the principles of AI and machine learning technologies, what they can and cannot do (at least not in the foreseeable future), and discuss the opportunities and threats posed by autonomous machines in a future dominated by AI.

This session will explore how to improve the management of water and energy in cities through the use of artificial intelligence, helping to meet UN SGD 6: "Ensure access to water and sanitation for all".

The session will explore the use and benefits of IoT devices that leverage AI to utilize observed data and enable process understanding, as well as asset optimization to leverage hidden potential in manufacturing processes.

AI promises great opportunity, and with that comes great responsibility. Recent rapid advancement of AI has given rise to ethical concerns about AI: from its unintended consequences to job displacement.  In this talk, we will discuss a practical framework and approach to Responsible AI that aligns AI design and deployment to a company's core values and ethical principles in order to benefit customers, employees, businesses and society. 

The rise of intelligence machines and automation driven by AI has driven a significant interest on ethical issues - from securing AI from adversaries, to distributing wealth created by machines. Addressing many of these challenges require a strong collaboration between industry, business, academia and government. Come and join us in this multi-stakeholder panel where we will be discussing this new frontier for ethics and the outlook for the next ten years.

The role of human expertise is critical in fulfilling the promise of the Digital Twin.  Today human expertise and reasoning logic still performs the heavy lifting for problems like creating a new design, identifying a root cause, and redesigning a process.  A critical phase in digital twin maturity lies in capturing and applying this human knowledge to complement AI and automation technologies. This presentation explains how we are using domain knowledge graphs - the same technology behind today's Internet search - to capture the human expertise for powering digital twin applications to create intelligent systems. Examples from various verticals, including Oil and Gas, will be presented.

The biggest problem with PV plants: they may work, but you can never be sure how well. Power reducing errors - if noticed at all - must be searched, and this is time-consuming and expensive. In this way the operators not only loose yield, but the error-finding produces costs as well. IoT is changing the solar industry and artificial intelligence is clearing that vision. This session explores how digitalized modules revolutionize different operation and maintenance of PV plants and have revolutionized. Digitalization with AI is changing this industry as we speak!

From manufacturing to transportation, organizations are constantly evaluating ways to modernize and transform their industry processes in order to create business advantages. In this presentation, we will discuss the major trends that intersect Industrial IoT (IIoT) applications and edge computing with an emphasis on how customers are using cloud computing with distributed machine learning and analytics at the edge to derive meaningful insights.

The city of Cary, North Carolina has leveraged IoT and sensors to raise the level of their citizen experience. This session illustrates how this was implemented and demonstrates real data being generated from Cary. You will see sample connected building data and how the sensors within the buildings can be used to provide proactive service and support for building tenants. Discover how AI is leveraged for predictive and prescriptive service and support.

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 explores the technical efforts and achievements using recurrent neural networks, deep reinforcement learning, and optimisation 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).

Machine tending is very common in manufacturing plants. Robots are gradually being introduced to perform these activities, but these specialized robots can be expensive for small and mid-sized companies. In this panel, we discuss and demonstrate an affordable vision-based cobot that was introduced at a customer site to improve productivity and reduce costs. Cobots form an integral part of a smart factory in the context of Industrie 4.0.

This session will explore how FM Logistic has optimized their warehouse operations by generating timely insights about the employees and asset movement inside their facilities.  Learn how they have improved day-to-day efficiency and are leveraging meaningful data.   

The biotech and pharmaceutical industries work following the same rules as other manufacturing sectors but are required to comply with specific regulated principles. Innovation is part of the soul of pharma but it must always be implemented considering the patient’s safety. From data acquisition to decision making and knowledge acquisition, all the processes and elements involved must be validated when they affect drug production. IoT is the critical technology, positioned at the beginning of the knowledge chain, that provides a raw source of information. Its implementation must comply with data integrity criteria in order to be accepted in AI models that leverage human capabilities for better process understanding. We will present some real experiences of IoT and AI in biotech-pharma, describing the benefits and the dark side of this journey in NovoNordisk.

Marel is the leading global provider of advanced processing systems and services to the Poultry, Meat and Fish industries, with a strategic objective of bringing their advanced, automated systems and solutions to every step of the production process and covering the relevant geographical areas in their industries. Knowing where and why to use AI and ML has helped propel Marel forward in industry. Join us to take a deep dive into how AI and ML were deployed in several use cases from Marel’s road to Industry 4.0. Discover the possibilities of AI and ML and how you can incorporate them into your corporate initiatives to help drive the next decade of possibility.

Artificial Intelligence is enabling new and emerging aspects of digital business -- from basic and applied research, data and digital infrastructure, industrialization, forecasting, decision making, customer interaction to ethical behavior and regulatory policy and oversight, and this is just beginning. Our panel of experts, taking into account the presentations and panels from this week, will be sharing their perspective on the Future of Artificial Intelligence from a business perspective: where it is heading in the next 3 years and beyond, what aspects of business will be more impacted than others, what challenges business will be facing, and how to best prepare for it.