From driverless cars, trucks, and delivery drones, from kiosks to chatbots, the impact of AI continues to grow. And it’s not just limited to the technology sector. Traditional industries such as banking and finance, law, medicine, training and education, even government and non-profits are feeling increased pressure to adopt.
Globally, the use of AI in organizations has almost quadrupled in the past four years. There’s a good reason for this: according to the McKinsey Global Institute, the economic benefits from AI over the next twelve years are expected to reach $13 trillion.
But as we’ve seen from previous fads, jumping on the bandwagon just because something is a “hot topic” can be unproductive. The good news is that with the right approach, your people and your AI systems can play to their strengths and offset each other’s weaknesses. In this webinar, you’ll learn how AI can help your business and you’ll take your first steps in identifying those strengths and weaknesses, and formulate an initial strategy for implementing your organization’s workforce of the future, starting today.
This strategy will also include setting up plans for workforce training, along with a system of governance that will reduce risks associated with increasing levels of automated knowledge work. And best of all, we’ll show you how you don’t need a huge up-front investment in order to make it work.
Leaders know that they need to get on board. But the speed and complexity of AI and its implications can be overwhelming. This includes the fear of not knowing what’s really going on “under the hood” of an AI system, especially as it slowly takes over an increasing number of functions in your organization.
As AI and machine learning become more pervasive, so do the risks. From the C-suite to the individual worker, people are aware of the potential benefits that automation brings. But they also have serious concerns.
What vulnerabilities does AI create?
How can you be sure that the computers are making the right decisions, especially when conditions suddenly change? And perhaps most importantly, what happens to the morale of your workforce as they see their peers in other organizations slowly being replaced by automation?
This webinar will answer the questions like answer what is the importance of artificial intelligence and more, along with helping you to balance the risks of adopting vs. not adopting AI.
It doesn’t have to be a “humans vs. machines” proposition. Technology, especially social media, greatly amplifies the consequences of even seemingly minor decisions. But when done correctly, your new, combined human and automated workforce can reduce such risks. Overcome the fear of “machine intelligence” and discover ways to use this breakthrough technology to your advantage.
What if you try it and it isn’t working?
Don’t worry, all is not lost. The good news about AI is that it’s not an all-or-nothing proposition. Machine intelligence plus human intelligence together is far better than either one alone. We’ll show you how to take the right measurements and make adjustments along the way in order to find the right mix of AI and human capital.
CXOs, especially CEOs and executives focused on strategy and technology adoption; CIOs, CTOs, and CKOs; HR and employee development program directors and managers; team leaders and supervisors of knowledge workers.
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.View all trainings by this speaker