As robots are getting cheaper, smarter, and more flexible, they become increasingly consumerized. Business leaders are seeing opportunities for growth and efficiency with new forms of interaction with humans. As the field continues to expand, leading companies seeking to maximize the vast potential of robotics throughout the enterprise – far beyond the traditional industrial environments -- should take a multi-dimensional journey and develop a strategy to move from experimenting with robotics toward fully scaled and integrated robotics capabilities. This session focuses on the stages of maturity for robotics adoption and what steps organizations need to take to design and implement an integrated approach to innovate with robotics to achieve its maximum potential.
There has been much discussion about if and how organizations can assure that a machine or algorithm behaves ethically, isn’t biased, and avoids causing injury or harm. These conversations should have been occurring in organizations already regarding use of big data analytics and data obtained from Internet of Things devices. This talk will focus on practical steps organizations can do to be more people-centered in their endeavors.
AI marks the third of modern-day revolutions empowering humans and organizations to solve challenges faster and more efficiently. So how do organizations without high-tech know-how adopt AI to impact their mission and bottom line?
AI-enabled solutions will succeed when grounded in common, adaptable software infrastructures that provide the means to support diverse business use cases and scale into the future. Humans are an integral part of the success of AI-enabled solutions, moving them from the driver’s seat to machine-assisted workflows augmented by actionable, AI-driven insights.
This talk will focus on how different organizations adopt AI in its current state of maturity, accounting for the “economic dials” enabled by the technology. We will showcase two very different types of organizations -- from police departments to media broadcasters -- to demonstrate how they navigated the fragmented landscape of AI technology and made the right future-proof investment decisions to drive their business forward.
Urmil Patel, Principal Controls Engineer and Process Hazard Analysis Leader, Johnson & Johnson Vision & Michael Strong, Worldwide Director, Engineering and Packaging, Johnson & Johnson Healthcare Systems
When you think of successful applications for robotics and artificial intelligence, medical device manufacturing probably isn’t the first to come to mind. But Johnson & Johnson has used these technologies in a complex medical device manufacturing environment for decades. Urmil and Michael will take us through the past, present, and future of RAI in J&J manufacturing and distribution: they will describe the history of RAI in the company and key drivers for initial decisions to automate; share from their experience with implementing these technologies; and reflect on future innovations, closing with key learnings for companies considering investment in RAI.
Today's robots are difficult and expensive to install, set up, and manage. Many businesses, especially the millions of SMEs, still find them cost-prohibitive and inflexible. Even collaborative robots pose a challenge in that workcell engineering and some form of programming are still requirements. A time consuming and costly integration project is often needed just to get the robot to perform a single task, and even a simple change in the environment means that this process will need to be repeated. However, market forces, like labor shortages, "skills gap", and global competitiveness are making automation of high-mix, low volume processes a necessity. This talk will examine this workforce gap between humans and (collaborative) robots, not from just a training perspective, but from the perspective of how we can think about the use of new technology to make robots more accessible to more people.
Much like what Windows and the mouse did for PCs, and what iOS did for smart phones, we need technology that makes robots easier to understand and use by a larger portion of our workforce population. We will cover how training assembly line workers to manage flexible work cells will create higher-value, higher paying jobs while producing higher quality and higher volume parts and products. AR and AI are the technology enablers of the industrial world. Not just for games and science projects, we will cover how these two technology platforms have real-world applications and how they can contribute to the collaborative robotic assistants that we see in the movies!
1): Examine the workforce gap and today's relationship between humans and (collaborative) robots.
2): Discuss implications of worker shortage and robotic automation, not only from a worker training perspective, but from the perspective of how the use of new technology to make robots more accessible to more workers.
3):Overview of specific case studies from logistics to manufacturing
Matthew Carey, Director, Product Management, Humatics (12:15-12:45)
Cities and factories of today have only begun to take advantage of the wealth of information available in today's IoT world. Continued work in automation and AI will only increase our optimization in new and unexpected ways to solve real-world business problems. Combined with new brand new types of high precision data (microlocation), how will next-generation computing platforms and techniques revolutionize the way our factories of tomorrow operate?
Calls from scholars and public intellectuals for imposing government regulations on AI research and development (R&D) are gaining traction. On the one hand, significant global economic and social benefits have been realized through implementation of these technologies; attempting to regulate them could be a hindrance to further innovation. On the other hand, unabated development might lead to undesirable outcomes in the future. This panel will discuss the current state of government regulation and debate the role it should ultimately play.
Robotics & AI may be poised to transform business, but actually adopting them is challenging. How have actual companies put it into practice? How did they hire the right people, how did they set up their teams, and what kinds of projects did they start with? This panel will explore the practical barriers that companies face to adopting Robotics & AI – and to getting value from it.
Technology strategy is directly tied to the mission and values of the enterprise. Successful companies are implementing Robotics & AI solutions to address changing market environments, new competitive landscapes, and kindle the creative potential of their workforce. In this roundtable discussion, technology leaders from innovative companies share how their organizations are embracing Robotics & AI technologies, removing barriers and prepapring employees for the future of work. The panel will explore the use of Robotics & AI automation, and their roles in transforming organizations and fostering a culture of innovation in the enterprise
The marketplace for AI tools and Robotics is booming as more organizations rush to embrace these technologies. It is a challenge for business leaders not only to stay on top of emerging research and product offerings, but also to match the right solution to the right use cases. This panel will examine strategies that companies can use to evaluate alternative technologies and select those that will provide the greatest ROI.
We are in a new Learning Era in which plentiful data will deliver exponential benefits for companies. The leaders will be companies that have the data and train systems to get the most value out of them. AI systems are turning that data into knowledge that is augmenting the skills of employees. These systems are not a futuristic vision; they are being used today around the world. AI is enabling call center staff to respond rapidly to routine requests while freeing time for more complex issues. AI augments human intelligence by making employees smarter and faster. It’s moving beyond solving only business problems and it’s now addressing many of our biggest societal issues such as sustainability and health. New technologies are breaking open the “black box” and making AI more ethical by providing greater transparency and trust. These systems explain how AI decisions are made; scan for AI bias; and recommend adjustments to mitigate bias. Jay will share lessons learned from working with clients around the world to implement AI in their businesses.