Kian is the CEO and founder of a groundbreaking platform with AI skills assessment, Workera. Kian is also a lecturer and has created some of the most popular courses on AI and machine learning with over 3k views per video! Kian joins Ryan to talk about how AI intersects with learning and development and its role in helping workforce transformation; from employee skillset management to mentorship.
KEY TAKEAWAYS
- Workera’s key method for customer acquisition has mostly been via outbound sales
- Workera provides an open platform that helps companies understand their employee’s talents, measuring skills and then use that skill data to empower them to make decisions; on everything from up-skilling and recruitment to project management
- Kian and his team knew they needed investment to begin and sustain Workera, because of how quickly they wanted to get things moving but also because of the tech-heavy side of the business.
- The gap many students are finding is not in content and information to learn but actually mentorship but this is difficult to scale, this is the first problem Workera wanted to solve and did so using AI and utilising existing psychometrics.
- Employee assessments, using psychometrics, are often a stressful task with poor UI. Workera have reinvented the testing, creating a much better user experience that is empowering and mentor-like with a feedback loop rather than just selection-based.
- A recommendation system will only work as well as the data it is given. You need good data that is rich and meaningful.
- Workera allows companies to utilise their employee’s time by assigning the right tasks for their skills and putting them on the training they actually need.
- Benchmarks are helpful to employers but also the individuals, so they can learn what to focus on and what opportunities are there for them specifically.
- Identifying the ideal customer profile and providing value and thought leadership aimed at that profile is one of the main things Workera focused on to scale and gain market share.
- You don’t train a tech person in the same way you would a non-technical person. You need to think about whether your employee is a builder or a consumer as well as what existing skills they already possess.
- Many individuals already have the right skill set for AI, they might even be better at some aspects of machine learning than people who have solely trained in it!
BEST MOMENTS
“What we want to achieve requires investment especially if we want to do it as fast as planned”
“Everyone should have access to a mentor that can help them in their next stage”
“We had to change the mindset of assessments, reinvent”
“The recommender system will be as good as the skills data that fuels it”
“Skills building becomes highly focused and intentional”
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Ryan Staley
Founder and CEO
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312-848-7443
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