Series Finale: Learning Technologies
Commercial Learning & Development is at a crossroads
The technology landscape is shifting rapidly and the operational practices needed to turn that technology into business value haven’t been fully realized.
On the technological side, a familiar cycle is playing out. Early excitement around new tools outpaces what they can realistically deliver on day one. Organizations invest based on potential, then the gap between expectations and reality sets in. On the organizational side, a parallel pattern is unfolding. When teams adopt new technology, the early energy and optimism give way to a predictable dip. That dip is not failure. It is the stage where the harder work of changing how your operations support it begins.
The data from the final installment of the Annual State of L&D: Learning Technologies lands right at the intersection of these two forces. Thirty-six commercial L&D functions across the life sciences industry participated in this research. What came back is a picture of how operational practices are keeping pace with the technology investments already in place.
What This Research Answers For You:
- What systems and capabilities define a high-performing learning technology stack?
- How should commercial L&D approach generative AI to create measurable value?
- What governance processes best support effective learning technology?
- Which staff skills matter most for leveraging learning technology?
- And who should own the learning technology budget, and how does ownership affect performance?
Complete the form below to access the advisory brief.
By clicking "I agree" above, you are agreeing that Trinity will use and protect your personal data in accordance with our Privacy Policy. You can opt out of future marketing communications at any time by clicking the unsubscribe link at the bottom of any marketing email you receive from Trinity.
In case you missed it
The Annual State of L&D in Life Sciences assesses the current landscape of commercial Learning & Development and benchmarks performance across organizations. Here are parts 1 and 2: