1. Artificial Intelligence (AI)
AI stands for Artificial Intelligence. It refers to the development of computer systems that can perform tasks that would normally require human intelligence. AI involves the use of algorithms and statistical models to analyze and learn from data, and then make predictions or decisions based on that learning.
AI in the learning space can refer to generative AI and the use of large language models (LLM) to generate text-based content (think ChatGPT or OpenAI). AI can also refer to intelligent features or predictive AI that analyzes existing data to forecast, optimize, aid in decision-making, and automate tasks.
2. Content Intelligence
Content intelligence is the use machine learning and AI to automate the collection of data about your content. This type of intelligence allows organizations to better match content with learners based on their skills, competencies, and learning styles. Content intelligence is used to improve search, analyze content coverage, identify duplicate content, and provide insights into how learners are navigating through your content library.
3. Employee & Engagement & Experience
Employee engagement refers to the emotional commitment that an employee has towards their work, while employee experience encompasses all the interactions that an employee has with their employer and the systems, they use to do their work. Research shows employees that feel they have opportunities to learn & be successful are more engaged. Organizations who provide systems that allow employees to find the information they need to do their job in the flow of work or more resilient and productive.
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4. Personalization at Scale
Personalization at scale refers to leveraging data and technology to mass produce learning experiences that are tailored to each individual without creating a lot of maintenance overhead. This step-up in productivity requires a mindset shift from handcrafting content to creating modular content that can be easily mixed and matched to easily adapt content to the needs of the learner.
5. Talent Intelligence
Talent intelligence is the application of data to recruit, retrain, reskill, and reorganize work. Talent Intelligence platforms are used to decrease the time to identify and redeploy talent when and where it is needed, provide employees with more insight into available career paths, and source employees from more areas of the organization increasing the utilization of human capital across the enterprise.
6. Return on Investment (ROI)
Return on investment (ROI) is a financial metric used to measure the profitability of an investment. It is calculated by dividing the net profit of an investment by the cost of the investment and expressing the result as a percentage. The formula for ROI is: ROI = (Net Profit / Cost of Investment) x 100.
Organizations need to drive learning to more audiences in more ways and often in less time. Optimizing content development operations is central to building strategic capability. Smart investments increase productivity and drive personalization at scale.
7. Sales Enablement Training
Sales enablement training is a valuable investment for organizations looking to improve their sales teams’ performance and effectiveness. From courses, certifications, learning paths, and on-the-go resources to help at in the moment of need these resources can provide salespeople with the knowledge, skills, and tools they need to succeed, businesses can increase their revenue and drive growth.
8. Skills Intelligence
Skills intelligence is the building and managing of skills ontologies, cataloging who has skills, and defining skills requirements by role. This data helps organizations to fill roles, source work, and staff projects based on current skills, adjacent skills, and skill potential. This data can also be used to personalize career journeys.
9. Skills Framework
A skills framework is a model or system that outlines the skills, knowledge, and competencies required for a particular job or industry. It is used to identify the skills and knowledge that are necessary for employees to perform their job duties effectively.
There are several types of skills frameworks, including competency frameworks, job role frameworks, and industry-specific frameworks. According to Deloitte, “organizations need to move away from static, unidimensional competency-based talent management to dynamic, multidimensional skills frameworks, personalizing skills and capability development to rapidly deploy talent to meet critical business needs.”
Upskilling refers to the process of learning new skills or improving existing skills to enhance one’s performance in their current job or to prepare for future job opportunities. It is an important aspect of career development and can help individuals stay competitive in the job market.
Upskilling can take many forms, including attending training courses, workshops, or conferences, pursuing advanced degrees or certifications, learning new software or technology, or taking on new job responsibilities that require new skills.