Strategies for Getting Your People and AI Working Together

OVERVIEW From driverless cars, trucks, and delivery drones, from kiosks to chatbots, the number of jobs being displaced by AI, machine learning, and automation continues to grow. Even industries such as banking and finance, law, medicine, training and education, staffed by highly skilled professionals whose jobs had been considered immune from automation, are being disrupted. The harsh reality is: no industry is safe, including yours. The good news is that you can have the best of both worlds, in which people and computers play to their strengths, and offset each other’s weaknesses. In this webinar, you’ll take your first steps in identifying these strengths and weaknesses, and formulate an initial strategy for implementing the workforce of the future in your organization today. This strategy will also include how to make AI work for your business, setting up plans for workforce training, along with a system of governance that will reduce risks associated with increasing levels ... Read more

OVERVIEW From driverless cars, trucks, and delivery drones, from kiosks to chatbots, the number of jobs being displaced by AI, machine learning, and automation continues to grow. Even industries such as banking and finance, law, medicine, training and education, staffed by highly skilled professionals whose jobs had been considered immune from automation, are being disrupted. The harsh reality is: no industry is safe, including yours. The good news is that you can have the best of both worlds, in which people and computers play to their strengths, and offset each other’s weaknesses. In this webinar, you’ll take your first steps in identifying these strengths and weaknesses, and formulate an initial strategy for implementing the workforce of the future in your organization today. This strategy will also include how to make AI work for your business, setting up plans for workforce training, along with a system of governance that will reduce risks associated with increasing levels of automated knowledge work, especially decision-making. WHY SHOULD YOU ATTEND Leaders know they need to get on board, but the speed and complexity of the technology and its implications can be overwhelming. This includes fear of not knowing what’s really going on “under the hood” of their AI systems, which seem to be taking over increasing numbers of functions in their organizations. As AI and machine learning become more pervasive, so do the risks. Managers and execs alike know they need the increased efficiency that automation brings, or else they find themselves becoming increasingly less cost competitive. But there are also serious concerns about risks. • How can you be sure that the computers are making the right decisions? • Especially when outside conditions suddenly change? • What vulnerabilities does AI create, including becoming increasingly dependent on technology, when everything can change overnight? • And what about the human side? • What happens to the morale of your workforce as some parts of it become replaced by automation? • While it’s true that AI also brings new job opportunities, those jobs tend to be highly specialized. • Can you train members of your current workforce to meet the new challenges? • Even if you do seek outside help, do you know what skill sets are needed in the artificial intelligence job market? • And even if you do, are you sure you can find and afford the right talent? AREAS COVERED • AI and the job market – what you can expect. What jobs will inevitably be taken over by AI and automation. Understand the AI automation and the future of work. • Rather than fighting the trend, learn how to make AI work for your business and even drive the changes. • Checking your bearings: Don’t get caught up in the hype. Instead, know where you are in the “AI and Machine Learning Hype Cycle” and plan accordingly. • How to prepare your organization for the coming disruption. Learn how to awaken the latent talents, creativity, and other competitive advantages of your human workforce, and how to overcome resistance and guide your workforce through the necessary changes. • Understand the importance of organizational goals and learn how to perform a review of your organization’s primary goals and work back, determining which steps are best performed by humans, machines, or both. Know AI automation and the future of work, and where humans have the advantage and where computers have the advantage. • Computers are good at crunching overwhelming amounts of data. Learn how to get humans and machines working together and how to effectively apply your human workforce in order to make sense out of it all. • Formulate a top-level strategy for building and growing a combined human and automated workforce that will bring both into alignment, boosting your productivity, innovation, and overall organizational performance. • Develop strategies for using human foresight as a supplement to machine-based prediction (and vice-versa). • Understand the “five V’s” of knowledge and information (volume, velocity, variety, veracity, and value) and how they drive the need for combined human and machine learning. • How technology, especially social media, greatly amplifies the consequences of even seemingly minor decisions, and how your new, combined human and automated workforce can reduce such risks. • Catch a glimpse into ongoing research initiatives having implications for how your organization, whether public, private, or non-profit, will need to change • Almost everyone is data-driven. Stand out from the crowd by being problem/opportunity/solution-driven. • No matter how intelligent computers become, they still require “adult supervision.” Keep things from getting out of control by putting together a system of governance for AI and machine learning. • Open source is good – but not always. Learn what dangers may be lurking in open source AI/machine learning software and how to avoid them.New skills for the post-AI workforce: why you need to dust of some of those old “soft skills” that might have fallen by the wayside. • New skills for the post-AI workforce: why you need to dust of some of those old “soft skills” that might have fallen by the wayside. LEARNING OBJECTIVES Rather than viewing AI as a threat, form strategies for getting your people and AI working together in ways that take your organization far beyond what would have been possible using either AI or human capital alone. It doesn’t have to be a “humans vs. machines” proposition. Overcome the fear of ever-increasing “machine intelligence” and discover how forward-looking companies are finding ways to harmoniously merge these two seemingly opposing forces, and use those insights to craft your own unique strategy. You’ll be amazed at the results. WHO WILL BENEFIT • CXOs, especially CEOs and executives focused on strategy • CIOs, CTOs, and CKOs • HR and employee development Program Directors and Managers • Program, Project, and Product Managers • Team Leaders and Supervisors • Knowledge Workers • Customers, Suppliers, and Stakeholders SPEAKER Years of Experience: 25+ years Areas of Expertise: Transforming traditional organizations into knowledge-sharing enterprises For over thirty years, Art Murray and his teams have helped organizations around the worldtransform intoknowledge enterprises. A knowledge engineer by trade, he has the unique ability to capture and grow deeply embedded personal and institutional knowledge. His many clients include government agencies, non-profit organizations, and companies of all sizes in the Americas, Europe, Asia, and the Middle East. He has advised government leaders in ministries of defense, law enforcement, higher education, public health, and whole-of-government in making the transition to a knowledge-based economy. One of the many projects he has led is the transformation of the Pan American Region of the World Health Organization into a knowledge-sharing enterprise, improving their ability to respond to health threats such as pandemic influenza, HIV/AIDS, and malaria. The project was documented as a chapter in the book, “Knowledge Management in Public Health Organizations,” by J. Liebowitz, et al, eds., 2010. More recently, he led a strategic knowledge capture and transfer initiative for the U.S. energy sector, and is currently technical director of a project to promote knowledge-sharing among world trade centers and science parks across the globe.He is also technical director on several projects to design and develop knowledge discovery and sharing platforms for integrative medicine,food and agriculture futures, and mathematics education.His decades-long research in this area has been published inthe book: Deep Learning Manual: the knowledge explorer's guide to self-discovery in education, work, and life(2016). As the first Fellow at the International Institute for Knowledge and Innovation, he is Director of the Enterprise of the Future program and author of the book: Building the Enterprise of the Future: Co-creating and delivering extraordinary value in an eight-billion-mind world(2018). He is a keynote speaker, a member of the National Speakers Association and the Global Speakers Federation, an editorial board member and reviewer for scientific journals and trade publications, and has been featured in various publications and radio programs. He writes the widely-read column “The Future of the Future” which appears in KMWorld Magazine. Use Promo Code TGD20 and get flat 20% discount on all purchases. To Register (or) for more details please click on this below link: http://bit.ly/2BzmgKd Email: support@trainingdoyens.com Toll Free: +1-888-300-8494 Tel: +1-720-996-1616 Fax: +1-888-909-1882