Corporate Training solution

A more intelligent approach

Machine learning is a term that encapsulates the ways data and technology can be manipulated to improve the learning process. It does much of the legwork to create a personalized learning environment and results in more effective, impactful experiences.

Get in touch

Understanding machine learning

Knowledge is power, but when it comes to analyzing your learners, knowledge is more the power to predict the future. Machine learning gives you the ability to better track your learners through big data—a strategy often used for marketing can also work in predicting learner behavior and matching each person to the eLearning module that is best for them.

In essence, machine learning and big data can help you tell the story of the outcome of your eLearning efforts long before learners act. By interpreting the data and targeting areas which may need fortification, additional design elements, or even a complete redesign, you create more effective modules tailored to your learners’ specific needs.

Our process

Our learning architects are experts at gathering and interpreting data for more efficient modules and experiences. Building the framework for more intelligent learning means creating opportunities to personalize learning and make the most out of learner interactions.

First, we’ll work to understand your organization’s goals and the role your data plays in meeting those targets. Machine learning helps you understand the bigger picture: the data might show that a learner has completed a course, but there’s more to the story than that. Analytics can indicate a learner’s subject mastery or link previous learning to similar topics to keep the training path going. The tech on its own is impressive, but it’s the application of that tech that enhances personalized learning.

Intelligent, beautiful design

Machine learning allows us to design intelligent learning. It might sound counterintuitive, but relying on machines and datasets actually individualizes the process. Anyone who’s developed learning and training materials can tell you that, sometimes, we create too much of a good thing. Years of materials and content can create bloated modules that feel generic and sluggish, which frustrates even the most enthusiastic learners.

Machine learning can extract data that helps you create more robust learner profiles, allowing you to deliver streamlined information to your learners that is hyper-relevant to their behavior, careers, and goals.
Making eLearning a more personalized experience for your learners can make all the difference in increasing motivation. After all, when a module is hard to access and plays against a learner’s weaknesses, they are hardly itching to log on and start learning. Machine learning allows you to drill down on a learner’s access points and favorite method of learning and even predict how well a learner will interact with the module. Whether it’s professional development, personal life, or just making a job easier, machine learning designs a pathway that taps into learners’ motivations via the data and creates messaging that speaks to the individual.
Machine learning gives you the power to anticipate learner behavior long before they ever log in. By predicting the way each individual learner will respond to the material, the same data can be applied to automate the process, prescribe a specific learning path, and even alert managers to potential problems. The result? Intelligent design and data that puts the learner in control.

Some cool things we’ve done

View all past projects

Image for Intro to Data Technical Training

View all past projects

People often think office games are a way to avoid working. Well, think again.

Learn more

Don’t make the mistake of considering them buzzwords: augmented and virtual reality (AR/VR) are what’s next in eLearning strategy. As an eLearning company on the forefront of training tech, we’ll leverage the right amount of AR and VR to support your content without distracting from your main message and goals.

Learn more

Gone are the days of overcrowded conference rooms, boring trainings, and bad coffee.

Learn more

FAQs

- Self-driving cars
- Smart robots
- Spam detectors
- Movie recommendation systems
- Speech recognition
Machine learning allows computer-based systems to learn from past experiences by themselves. This means that you don’t have to program them to answer every single possible scenario as they should.

You equip them with machine learning capabilities and train them. Then, they become able to analyze data, draw conclusions, make decisions, and take action autonomously. They also become able to make fast and accurate predictions by identifying patterns in huge quantities of data.

A machine learning training program should teach you
- The theory behind machine learning
- Learning algorithms
- How to train computer-based systems to learn on their own
- Best practices in machine learning
In a corporate setting, machine learning allows you to have computer-based systems that:
- Make decisions to drive the success of your organization
- Extract business opportunities from data, whether it’s data that belongs to your company or external data

Case studies

Check out how we’ve taken inspired ideas and transformed them into workable realities for our clients.

See all case studies

Unconscious Bias Training Program

A global company knows that personalities, backgrounds, and culture are what makes an organization truly great. At the same time, our client, a large employment website, also knew that managers might need a refresher on confronting their unconscious biases to more effectively and empathetically lead their teams. Our project with Indeed focused on illustrations and scenarios that gave managers a more holistic idea of what leadership looks like in 2021.

Read the story