Michael Rogers

Never before has management’s role been so challenging: disruption is
everywhere. AI is now integrating the existing digital infrastructure, from
smart sensors and wearable computers to extended social networks and
virtual workplaces. Leaders must deal with not only difficult strategic
decisions but broader quandaries such as the nature of privacy, white collar
automation, reskilling workers, and the rule of law in cyberspace. How can
successful managers discover and implement innovation while still meeting
the daily challenges of business?

Michael has written about AI since the early days of primitive neural
networks. Now the rise of generative AI programs (such as ChatGPT) has
focused corporate and public attention on the technology. AI automates
many white collar tasks. AI gives robots better vision and precise control.
AI-generated video and audio challenges the search for accurate
information. Emotional relationships with AI companions are growing more
common. And this is only the early days. AI will still continue to disrupt our
lives and businesses with new intelligence. It should also lead us to
embrace more strongly the traits and skills are uniquely human.

Michael will create a realistic scenario of the workforce challenges your
profession or business will face due to the rise of AI. What positions are
most vulnerable in both the white collar and blue collar world?. How can
entry-level workers—often replaced by AI—be trained and integrated into
the workforce? What skills will remain valuable? What must management
do to keep the workforce productive?

Never before has management’s life been so…interesting. Business, government and society are all creating a vast new digital infrastructure, from smart sensors and cognitive computing to wearable computers, extended social networks and virtual workplaces. That puts leaders in the midst of not just technical challenges but broader social quandaries such as the nature of privacy, white collar automation, reskilling workers, the rule of law in cyberspace–not to mention the strategic direction of the enterprise itself. How can successful managers discover and implement innovation while still meeting the daily challenges of business?

Online teaching already challenges both educators and their institutions
and the addition of AI creates even larger new quandaries. Ultimately, of
course, AI tools must be integrated into the curriculum. The challenge now
is how we use them—and what do we teach? What skills will our students
initially bring (or not bring) to campus? What skills will they need to make
their way in an increasingly automated world? AI has enormous potential
to improve education. Individual customized tutoring is an expense that
many families can’t afford, but AI could provide that experience for all
students.
Michael has spoken to educators worldwide ranging from K-12 to college,
law and medicine.

The future is bright for medical technology: telemedicine, wellness
monitors, personal genomics, electronic health records, and more. Now
add AI, and the results could range from AI assistants in the examining
room to “digital twins” that will compare your health records with thousands
of similar individuals, warning of potential new problems as well as
suggesting the best treatment options. But how do we keep the human
element in healthcare? What are the privacy implications of personal
genomic data? How do we fund the latest technologies while still making
sure that basic healthcare is affordable?
Michael has presented this topic to pharmaceutical companies, hospital
networks, health insurers, medical educators and more.