
2Know Newsletter
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Human Empowerment in an AI generation- it's our responsibility
Human empowerment in the AI era, as emphasized by Dr. Moria Levy, means preparing society, organizations, and individuals to work alongside intelligent systems. Through ethics, upskilling, job redesign, and lifelong learning, people can retain strategic leadership, adapt to automation, and ensure AI enhances human creativity, judgment, and responsibility. KMGN, KM AI course. Session 22- nearly the end... Today I lead the conversation on our future- human beings, in an era of AI. Our...
Starting the AI journey as a knowledge manager
Starting an AI journey as a knowledge manager means focusing first on business needs, not technology. As advised by Dr. Moria Levy, KM professionals should listen carefully, clarify challenges, align data and knowledge assets, and propose practical AI solutions- positioning themselves as essential partners in successful, value-driven digital transformation. KMGN KM-AI course, session 21. We are approaching the last set of lectures in this course. Today Annie led the session and hosted Jay...
Now is the time to start collecting your organization's COVID-19 pandemic stories
How many stories did you tell today? How many did you hear? Chances are, more than a few. Most humans tell stories throughout the day,...
Lessons Learned in AI projects
Successful AI projects rely on structured lessons learned and continuous improvement, as emphasized by Dr. Moria Levy. By using iterative reviews, bias analysis, and focused debriefings, organizations can reduce errors, improve model performance, and transform trial-and-error cycles into sustainable learning and long-term business value. KM AI KMGN course- Session 20. Today I spoke about Lessons Learned in AI projects. Lessons Learned debriefing sessions are critical in Artificial...
Peer Learning - Modeling for Success
Tony Robbins says that the "secret" to his success is modeling people who have already achieved the results he wants to achieve. This...
KM-AI: Managing business risks
Managing business risks in KM-AI initiatives requires strong governance, simplified business rules, and diverse expert involvement. As highlighted by Dr. Moria Levy, combining knowledge engineering with AI analytics reduces bias, improves model training, and enables early detection of weak signals-strengthening decision-making and organizational resilience. Aug 3rd. Session 19 of our KMGN Knowledge-Management-Artificial-Intelligence course. Art Murray speaks about implementing and maintaining...






