The pharmaceutical and manufacturing industries are among the most complex, dynamic, and regulated sectors in the world. They require a high level of expertise, innovation, and quality to ensure the safety, efficacy, and competitiveness of their products. However, they also face many challenges in terms of knowledge management, such as:
- The rapid pace of technological change and scientific discovery, which creates a need for continuous learning and upskilling.
- The large scale and diversity of operations, which makes it difficult to standardize and disseminate best practices across different sites, teams, and functions.
- The strict compliance requirements and frequent audits, which demand accurate documentation and verification of processes and procedures.
- The high turnover and attrition rates, which result in the loss of valuable knowledge and experience.
To overcome these challenges, pharma and manufacturing companies need to adopt effective strategies to capture, share, and retain enterprise knowledge. One of the most promising approaches is to leverage micro-learning and artificial intelligence (AI) to create engaging, personalized, and compliant training videos that can enhance the performance and productivity of their workforce.
In this blog post, we will explain what micro-learning and AI are, how they can be used for enterprise knowledge sharing in pharma and manufacturing, and what are the benefits, challenges, and best practices of using them.
What is Micro-Learning
Micro-learning is the process of acquiring knowledge through small chunks of information used to meet a specific learning outcome. Small chunks of information can be delivered via videos, articles, ebooks, audio clips, or any other form of content focused enough to meet an immediate need.
Micro-learning has many benefits for both learners and organizations, such as:
- It is more engaging and memorable than traditional long-form training, as it reduces cognitive overload and increases retention.
- Microlearning is more flexible and convenient than scheduled classroom sessions, as it allows learners to access the content anytime, anywhere, and on any device.
- Microlearning more relevant and practical than generic courses, as it addresses specific problems or situations that learners encounter in their work.
- It is more cost-effective and scalable than instructor-led training, as it reduces the time, resources, and logistics required to create and deliver the content.
Micro-learning can be used for various purposes in pharma and manufacturing, such as:
- Providing just-in-time information or guidance on how to perform a task or use a tool
- Reinforcing or refreshing key concepts or skills learned in previous training sessions
- Updating or informing about new developments or changes in policies or regulations
- Testing or assessing the level of knowledge or competence of learners
- Motivating or rewarding learners for their achievements or progress
What is AI?
AI is computer software that mimics the ways that humans think in order to perform complex tasks, such as analyzing, reasoning, and learning. AI uses algorithms trained on data to produce models that can perform such complex tasks.