Corporate training, often regarded as a dull and avoided process for employees to learn new skills, is undergoing a vibrant paradigm shift. Valued at $367.6 billion in 2019 globally, as technological innovations ebb and flow new job markets, new skills are required to be learned by existing employees, but for the most part, they’re never learned well enough.
A variety of training and mentorship delivery programs for the workplace exist today, from instructor led courses to online MOOCs, audio based podcasts and virtual reality. And while existing practices do attempt to equip their employees, it’s often a highly inefficient process, much less effective. In fact, according to the Ebbinghaus’ Forgetting Curve, 90% of learning will be lost within one week of training if the skills and knowledge are not reinforced or applied directly to the job. The best training is imbued through on-the-job experience.
Subscribing to this widely established notion, Israeli startup Trenario is digitizing the training medium, allowing corporates to scale their training offering to myriad use cases and contexts cost-effectively.
Founded in 2017 by Moti Shatner, an expert in AI and machine learning, and Dina Shatner, an expert in the psychology of learning, Trenario developed a platform that provides dozens of virtual trainers. These avatars look and talk like humans and can interact with workers in a realistic manner. Trenario targets corporate training and mentoring of employees for use cases in sales, customer support, call centers, management skills, and business skills development.
The company’s technology is built on an AI engine that creates the building blocks to a human-like avatar. They employ natural language generation, wherein the avatars can communicate with character, in a semi-automatic way. Their neural networks render the avatar and they use machine learning on the data collected from the interaction to make predictions. For instance, a salesperson candidate can use Trenario to simulate an interaction with a potential client and identify the areas of weakness in which they should practice more. It maps the level of active knowledge - that which the employee implements, or doesn’t. Akin to experiential learning, the platform maps those knowledge level gaps and purposely engages the employee on that topic, enabling them to reinforce their understanding of that topic. The employees can also re-try parts of a session and experiment with multiple reactions.
