The website is also available in


Sera Özkıvanç
• 3 min. read
Interactive training modules for better learner outcomes
Transform learning from a passive activity to an engaging journey…
Sera Özkıvanç
• 3 min. read
Mobile learning in corporate training
Bring learning right into the palms of your employees' hands.
Sera Özkıvanç
• 5 min. read
3 essential governance guidelines your L&D team needs [examples + checklist] 
Ensure your EGL initiative thrives by putting the right governance…
Sera Özkıvanç
• 6 min. read
How to determine the ROI of Employee-generated Learning (EGL)
Learn how you can demonstrate EGL's value by assessing impact,…
Sera Özkıvanç
• 2 min. read
Product knowledge training essentials for your team's success
Empower your team and enhance customer interactions with strategic product…
Sera Özkıvanç
• 3 min. read
Microlearning examples to update your learning strategy in 2024
Discover the pathways, essential skills, and steps to launch your…
Sera Özkıvanç
• 3 min. read
Video-based learning: how it can boost your L&D strategy
Boost learning outcomes by incorporating video-based learning into your L&D…
Sera Özkıvanç
• 3 min. read
What is Bloom's taxonomy?
Dive deep into the backbone of educational frameworks. Learn how…
Videhi Bhamidi
Why align learning strategy with business goals
Learn why you should align learning and business goals.
Alexandra Hemmer
• 5 min. read
8 key soft skills that will enhance employee performance
Equipping your employees with the right skills can lead to…
Alexandra Hemmer
How microlearning can support soft skills at your organization
Sometimes, content that's easy and quick to consume is more…
Alexandra Hemmer
Top 6 microlearning examples for effective e-learning
New to microlearning? These 6 examples will inspire you with…
Alexandra Hemmer
What is customer training? Benefits and how to create it
Customers don't become product experts upon signing up. A training…
Alexandra Hemmer
• 3 min. read
6 steps to create effective microlearning courses
With microlearning as a dominant e-learning trend, it's important for…
70-20-10 criticisms
Kasper Spiro
• 3 min. read
70:20:10 model criticisms, origins and evidences
The 70:20:10 learning model has gained much attention over the…
Molly Brooks
Seven common mistakes when teaching soft skills online
Most organizations expect their employees to work independently, while at…
mobile learning best practices
Danielle Agass
5 mobile learning best practices
As an L&D professional, you know how useful new edtech…
Trends in learning and development
Kasper Spiro
The 4 tectonic shifts in L&D: major trends
There are a lot of exciting developments trending in the…
Kasper Spiro
What is microlearning and why you should use it
Microlearning is the use of small pieces of content to…
pharma microlearning
Videhi Bhamidi
The power of microlearning for the pharmaceutical industry
The enormous scope of the pharmaceutical industry creates significant pressures…

The power of microlearning for the pharmaceutical industry

Hownow CEO Nelson Sivilingam and Easygenerator co-founder Kasper Spiro explored how AI is reshaping learning strategies for businesses in a recent E-learning Pioneers session. Here are the key insights.

Videhi Bhamidi

Imagine a world where every training module speaks directly to learners. That’s what AI brings to the table. It sifts through data to understand each employee’s unique learning needs and preferences. Then, it adjusts the content to match. This isn’t just efficient; it’s a game-changer for engagement and retention.

This transformation was the focal point of a recent webinar featuring insights from Nelson Sivalingam, CEO of HowNow, and Kasper Spiro, co-founder and Chief Learning Strategist at Easygenerator. Their discussion, moderated by L&D expert Louise Puddifoot, tackled AI’s current influence, its potential to solve training challenges, and what it means for learning professionals who lead their companies’ learning strategies.

Watch the E-learning Pioneers 2023 fireside chat on demand
Watch video

More AI content, bigger challenges

One of the immediate effects of AI in corporate learning is the surge in content creation. Tools like ChatGPT have lowered the barriers, making it easy for anyone to generate learning materials. But this comes with its own set of challenges. As Nelson pointed out, the issue isn’t just about having more content; it’s about ensuring that content is useful and relevant. The key challenge now is improving content discovery, making it easier for learners to find what they truly need.

Personalization at scale

Both experts agree that AI’s real game-changer is its ability to personalize learning. Imagine a world where training is not one-size-fits-all but tailored to each employee’s skills, learning habits, and needs. AI can analyze vast amounts of data to deliver just that, acting like a personal coach for every employee. This level of customization promises to make learning more engaging and effective, directly impacting skill development and performance.

Quality over quantity in content creation

With AI, creating content has never been easier. Yet, the focus is shifting towards making that content more relevant and aligned with specific learning objectives. Casper Moerck highlighted the importance of curating and refining AI-generated content to ensure it meets high-quality standards. For learning professionals, this means leveraging AI not just for content generation but for creating meaningful, impactful learning experiences.

Preparing for the skills of tomorrow

One of AI’s most exciting prospects is its ability to help companies prepare for future skill needs. As job roles evolve, AI can help identify emerging skills and learning gaps. This forward-looking approach is invaluable for learning professionals aiming to keep their workforce ahead of the curve. By using AI to anticipate and address future learning needs, companies can ensure their employees are always ready to meet new challenges.

Balancing technology and human touch

Despite AI’s potential, it’s crucial to remember that learning is inherently human. The technology is there to enhance, not replace, the personal touch that makes learning truly effective. Ethical considerations, privacy, and ensuring equitable access to technology are all vital concerns that learning professionals must address. The goal is to integrate AI into corporate learning in a way that complements and enhances the human elements of mentorship, collaboration, and hands-on experience.

How to integrate AI into your corporate training program

The speakers in the webinar outlined several steps and strategies. Here’s a short breakdown of their advice:

Step 1: Evaluate and identify skill gaps

  • Use AI to analyze job roles and performance data within your organization.
  • Identify the most in-demand skills and the existing skill gaps among employees.
  • Nelson emphasized the importance of understanding these needs: “We use AI right now, and we use a large language model made out of real-time job market data to identify what the most in-demand skills are for any particular job role.”

Step 2: Personalize learning experiences

  • Leverage AI to deliver personalized learning experiences based on the identified skill gaps.
  • Implement AI-driven platforms that recommend learning content tailored to individual learning styles, needs, and progression.

Step 3: Enhance content discovery and quality

  • Employ AI to improve the discoverability of learning content, ensuring employees can find the most relevant materials easily.
  • Use AI tools to curate and refine content, focusing on quality over quantity. Ensure the content is not just generated but also aligned with specific learning objectives and corporate goals.

Step 4: Prepare for future skills needs

  • Utilize AI to predict future learning needs based on industry trends and technological advancements.
  • Develop training programs that not only address current skill gaps but also prepare employees for future roles and responsibilities.

Step 5: Use AI ethically and effectively

  • Address ethical considerations and privacy concerns when implementing AI in learning programs.
  • Balance the use of technology with the human elements of learning, such as mentorship and collaboration. Kasper noted, “AI still is a supportive technology that can create [a draft course or resource], but I think it’s really important that there’s a person curating [the resources] to see if they contain the right information and if they’re useful.”

Step 6: Foster a culture of continuous learning

  • Encourage employees to engage with AI-driven learning tools as part of their daily workflow.
  • Promote a culture where continuous learning and skill development are valued and recognized.

Step 7: Measure impact and adapt strategies

  • Monitor the effectiveness of AI-enhanced learning programs through employee feedback and performance metrics.
  • Continuously adapt and refine AI strategies based on outcomes, feedback, and evolving learning needs.

Takeaways for learning professionals

As AI continues to transform corporate learning, the opportunities are vast. Learning professionals have a key role in harnessing AI’s potential while navigating its challenges. The key is to focus on personalization, content quality, and preparing for future skills needs, all while keeping the human aspect of learning front and center. By doing so, learning professionals can use AI to create more engaging, effective, and future-proof learning strategies for their companies.

About the author

Sera Özkıvanç is the content manager at Easygenerator. Over the last four years, she’s written marketing content for various SaaS brands around the world. These days, she’s doing her best to embrace the rainy weather in Rotterdam.

It's easy to get started
  • 14 day trial with access to all features. Start with variety of course templates.
  • Get unlimited design inspirations. Level up your courses.
  • Upload your PowerPoint presentations. Get instant courses created.