Heather
Zindel
CEO at AI MONSTER, INC.
"Lifelong Learning Is Dead. Long Live Living Learning."
"Lifelong Learning Is Dead. Long Live Living Learning."
Thu May 14 - 4:40 PM EDT/New York (See in local time)
Add to Calendar
05/14/2026 4:40 PM
05/14/2026 05:00 PM
America/New_York
#WTGC2026
"Lifelong Learning Is Dead. Long Live Living Learning."
#WTGC2026
"Lifelong Learning Is Dead. Long Live Living Learning."
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"Lifelong Learning Is Dead. Long Live Living Learning."
"Lifelong Learning Is Dead. Long Live Living Learning."
Don’t miss out and join visionaries, innovators, and thought leaders from all over the world at the Women in Tech Global Conference.
Vote by Sharing
Unite 100 000 Women in Tech to Drive Change with Purpose and Impact.
Do you want to see this session? Help increase the sharing count and the session visibility. Sessions with +10 votes will be available to career ticket holders.
Please note that it might take some time until your share & vote is reflected.
Session: Lifelong Learning Is Dead. Long Live Living Learning.
In technology, the pace of change has outgrown the old model of learning. Static training, one-time certifications, and course completion metrics are no longer enough to keep professionals relevant in a world shaped by AI, automation, and constantly shifting tools. The real challenge is not simply learning more. It is learning continuously, practically, and in ways that keep pace with real work.This session explores why the future of skill development is not built on passive content consumption, but on living learning: dynamic, continuously updated knowledge shaped by real practitioners, real workflows, and real-time change. Instead of treating learning as something separate from work, organizations and individuals must embed it directly into the flow of work itself.
Attendees will gain a new framework for lifelong learning in the tech domain—one that emphasizes adaptability, peer-driven knowledge sharing, practical implementation, and the ability to turn fast-changing information into trusted capability. The session will challenge traditional assumptions about upskilling and offer a more modern path for staying ahead: not by chasing endless content, but by building systems and habits that help people learn faster, apply knowledge sooner, and evolve continuously alongside technology.
Key Takeaways
- Static learning is no longer enough. Traditional training models cannot keep pace with how quickly technology, especially AI, is changing.
- Learning must become continuous. Professionals and organizations need ongoing skill development, not one-time courses or occasional certifications.
- The best learning happens in the flow of work. People build real capability faster when learning is tied directly to real tools, workflows, and everyday problem-solving.
- Peer-driven and practical knowledge matter more than endless content. What helps people stay ahead is not just more information, but trusted insights from practitioners who are actively doing the work.
- The future belongs to adaptable learners. The biggest advantage in tech careers will come from the ability to learn quickly, apply knowledge immediately, and evolve alongside constant change.
Bio
Heather Zindel is the Founder and CEO of AI Monster, an ethically sourced data company that delivers human wisdom about AI to knowledge workers.AI Monster's core solution is an AI Center of Excellence (CoE) platform―The MonsterSphereTM―that turns human expertise and judgment about AI into trusted, machine-readable insights by job function, at scale.
AI Monster aims to power 175M+ knowledge workers and the next generation of 1B+ enterprise AI agents.
She is a C-suite executive, board member, angel investor, and transformation leader who has successfully created, launched, and sold three businesses, all to Microsoft partners.
Over the course of her career, Heather has built a reputation for turning complex technology shifts into practical business outcomes. Her public profile describes her as an Agentic AI enthusiast, a $1B+ midmarket sales transformation and scale expert, and an open-source advocate.
Heather’s work sits at the intersection of AI, business transformation, and human-centered leadership. Through AI Monster, she is advancing a distinctive point of view: the future of work will not be defined by automation alone, but by the quality of the human knowledge, judgment, and trust behind intelligent systems.
Known for combining executive insight with entrepreneurial energy, Heather speaks on AI adoption, workforce transformation, and the need for more responsible, useful, and human-centered AI in business.
