INNOVATION AND THE ENTERPRISE
Machine Learning X Doing Retail for your management decision-making context and impact
The main challenge facing retail is the future of work. From
How do you stay you and look forward? Machine Learning X Doing Enterprise is an approach that rigorously helps your enterprise chart its own path, play to its strengths, overcome any enterprise weaknesses and discover new abilities
The future of work poses new challenges.
For many retailers, the next big question is: which problems of my retail business can be solved using next-level AI?
All of them.
As retail is redefined by technological change in this new world, you must stay ahead in the digital economy, which spans hiring to inventory management and sales.
You must effectively connect your supply directly to the public whether they are online, offline or in both spheres. Your purchasing of goods from manufacturers and wholesalers also needs to be optimized to maximize profits so you can focus on leading and envisioning the future of your business in an increasingly complex world.
What if next-level AI could elevate your retail business, raising productivity, business impact and value contributions?
Welcome to your next level. Welcome to the future of your retail business
How can enterprise make rigorous choices between having employees who prefer to work from home, or to work onsite, or in hybrid systems?
What about consumers with these diverse preferences? How are these impacting your retail business?
How does the ever-changing reality affect the best way to keep your retail business functioning at the top of its game?
Your employees are too smart for lip service, buzzwords, and just more of the same. They were trained by the best, after all.
Be you. Sustain and improve your retail business for impact over the long run
It is up to us all to make the world a better place, starting with your retail business
Introducing the next-generation of AI, designed around the fundamental question of what it means to be human
Together, we will inspire change in the world, by first introducing your organization to its true potential
Kweku Opoku-Agyemang, Ph.D.
Kweku Opoku-Agyemang, Ph.D., is former faculty at the University of California, Berkeley in development economics, former computer science researcher at Cornell University and visiting scholar at UC Berkeley Mechanical Engineering. He has advised Google scientists, given talks at Facebook, presented to government officials from 12 countries and others.
A former session Chair at the Canadian Economic Association, Kweku believes that his next-generation Machine Learning X Doing approach can help organizations and countries to do better by their people by meeting or exceeding their potential and taking their culture to its real potential. He is based in Toronto, Canada.