By David Thomas
Every year, LTEN brings together people who understand something important about life sciences: training is never just training. It is how strategy reaches the field, how teams build confidence, how new ideas become practical action, and how organizations create the consistency needed to perform in a complex commercial environment. That is why I am looking forward to LTEN 2026.
The sessions matter, of course. So do the planned meetings, the new ideas, and the opportunity to reconnect with people across the industry. But for me, the real value of being there is often found in the conversations around the event, where leaders speak openly about what is working, what is harder than expected, and what they are trying to improve next.
That is what I will be listening for.
- Where are teams struggling to sustain learning after a launch?
- Where is engagement still disconnected from daily execution?
- How are leaders helping field teams carry more products, more information, and more responsibility without adding unnecessary friction?
These questions matter because learning in life sciences is no longer only about delivering information. It is about helping people use that information with confidence, consistency, and purpose.
One theme I expect to hear often is engagement. Not engagement as a metric on a dashboard, but engagement as something practical: whether people can access what they need, understand why it matters, and apply it when the moment comes.
That requires organizations to meet learners where they are, not where the system assumes they should be. It means reducing barriers, simplifying access, and making reinforcement part of the way people already work rather than something that competes for their attention.
I am also listening for how teams are thinking about AI.
There is no avoiding that conversation now, and there should not be. AI has the potential to support readiness, coaching, personalization, and reinforcement in meaningful ways, but the important question is not whether AI will be used, it is how it will be used responsibly, practically, and in a way that fits the realities of a regulated industry.
AI should not become another layer of complexity. It should help reduce complexity by helping people find what matters, prepare with more confidence, and reinforce the right behaviors at the right time.
This is where I believe the best conversations at LTEN will happen. Not around features for their own sake, but around the bigger question of how life sciences organizations help people perform when the environment keeps getting more complex.
- How are teams building learning that lasts?
- How are they connecting engagement to performance?
- How are they helping the field move from information to confidence?
- And how are they making sure that when a strategy is set, it does not lose strength before it reaches the people who have to carry it forward?
Those are the conversations I believe matter most, and I am looking forward to them.
Want to discuss ahead of LTEN? Book a demo below or meet us at booth #102 at the annual LTEN conference in Kissimmee, FL, June 15–18, 2026.