How Cloud-Based LMS and AI Can Transform Onboarding and Training
Shoeb Lodhi
COO Bunnyaad | Sr. BDS Software Finder | xCOO Elixir | xCOO Techlets. Experienced Operations, Business Development, Marketing, Technology Executive driving growth for global orgs and SMBs in North America, Europe & APAC.
In this article, we will explore how cloud-based Learning Management Systems (LMS) with artificial intelligence (AI) capabilities can transform onboarding and training processes for both employees and customers. We will discuss how cloud-based LMS with AI provides a cost-effective and scalable solution for training a large number of employees and customers across different geographic locations, while also allowing for self-paced learning and on-demand access to training materials. AI can also personalize the learning experience by analyzing employee or customer data to generate relevant training content that meets their individual needs and skill levels.
The potential readers of this article are professionals and decision-makers in organizations who are involved in employee and customer training, such as HR managers, learning and development managers, training managers, customer success managers, and executives. It can also help relevant to professionals in the EdTech industry, such as software developers, AI experts, and educational consultants. Additionally, educators and trainers who are interested in exploring the potential of AI and cloud-based LMS for personalized and efficient training could also find this article useful.
Introduction
Enterprise-level software has made it increasingly important for organizations to provide effective training to both new and existing employees. To meet this demand, the field of educational technology, or "Edtech," has emerged to provide new and innovative ways to educate and train employees. One such innovation is the cloud-based Learning Management System (LMS), which provides a cost-effective and scalable solution to train employees and customers.
However, the effectiveness of LMS often depends on the quality of the content and the ability to customize it for specific projects, employees, or customers. This is where Artificial Intelligence (AI) can play a vital role in designing, developing, and delivering customized training programs. With the ability to read release notes and track employee progress, AI can create personalized training content and badges/certificates to motivate employees. Furthermore, AI can also help generate customer onboarding content based on inputs from technical support's CMS/CRM and from professional services projects, making it easier to train customers and improve their experience.
In this article, based on my experience and previous work in past companies, as well as research from available articles and whitepapers on the internet, we will explore the role of cloud-based LMS and AI in corporate education, highlighting how they can be used to deliver effective training programs and enhance employee and customer experience. We will discuss the importance of cloud-based LMS for corporate training, introduce the concept of using AI in LMS for onboarding and training employees and customers, and examine how AI can be used as a marketing tool, targeting issue-based marketing?
“I think what makes AI different from other technologies is that it’s going to bring humans and machines closer together. AI is sometimes incorrectly framed as machines replacing humans.?It’s not about machines replacing humans, but machines augmenting humans.” —Fei-Fei Li, Professor of Computer Science at Stanford University1
The Benefits of Cloud-Based LMS with AI for Employee and Customer Onboarding and Training
Cloud-based Learning Management Systems (LMS) with artificial intelligence (AI) capabilities offer numerous benefits for employee and customer onboarding and training. Organizations need to adapt quickly to changing market conditions and technological advancements, requiring an agile and flexible workforce that can acquire new skills and knowledge rapidly. Traditional classroom-style training is often too slow and inflexible to meet the needs of modern businesses, especially in large organizations with geographically dispersed employees.
A cloud-based LMS with AI provides a scalable and cost-effective solution for training a large number of employees and customers across different geographic locations. Additionally, the cloud-based LMS allows for self-paced learning and on-demand access to training materials, which increases flexibility and convenience. AI can analyze employee or customer data, such as job roles or product usage, to generate relevant training content that meets their individual needs and skill levels, providing a personalized learning experience.
Cloud-based LMS with AI can automate certain tasks, such as content creation and progress tracking, reducing the time and effort required for manual administration. This enables trainers and managers to focus on higher-value tasks, such as analyzing employee or customer data to identify areas for improvement and customization. AI can also provide valuable insights into employee and customer performance by tracking and analyzing user data, identifying areas where additional training or support is needed, and making data-driven decisions to improve overall organizational performance.
Overall, a cloud-based LMS with AI capabilities can transform the onboarding and training process for both employees and customers by providing a cost-effective, scalable, and personalized learning experience that adapts to their individual needs and goals. The role of AI in designing training programs is to make the process more efficient, effective, and personalized, by analyzing data, generating customized content, and tracking employee performance, helping organizations deliver training programs that meet the needs of modern businesses and their employees.
Automated Training Programs Based on Release Notes in AI-powered LMS
Automated training programs based on release notes in AI-powered LMS can greatly benefit organizations by streamlining the onboarding process, improving learning outcomes, and reducing costs. The process involves using natural language processing (NLP) to extract relevant data from release notes, pattern recognition algorithms to identify new or updated features, and AI algorithms to create personalized training content based on job roles and skill levels.
By automating the process of creating training programs based on release notes, organizations can onboard new employees more quickly and efficiently, provide consistent training, and personalize learning for each employee. This leads to improved retention of information and increased productivity.
A report by the UK government found that around?15%?of all businesses have adopted at least one AI technology, which translates to?432,000?companies. Around?40%?of businesses that have adopted AI primarily develop it in-house and?40%?purchase ‘off-the-shelf’ solutions; the remaining 20% out-sourced the development of AI applications to external providers.
To implement this feature, organizations need to identify the key features and updates in each release note, develop an AI algorithm that can read and interpret release notes using NLP techniques, design a template for training programs, use the AI algorithm to generate training programs, and test and refine the programs over time.
As someone who has witnessed companies fall into the trap of generating multiple layers of content, I strongly believe that automated training programs based on release notes in AI-powered LMS are a game-changer. With years of experience, I have seen how such programs can save organizations valuable time and money while also ensuring that employees are equipped with the knowledge they need to excel in their roles. Not only does this approach help companies keep up with the latest software developments, but it also provides employees with consistent and personalized training.
Tracking Progress and Offering Rewards
An AI-powered LMS can track employee progress through the training material using data analytics and machine learning algorithms. This enables managers to identify areas where additional training is needed and make data-driven decisions to improve overall organizational performance. Additionally, offering rewards, badges, and certificates for completing courses is a form of gamification that can make the learning process more engaging and enjoyable for employees while also helping them develop new skills and knowledge that are valuable to the organization.
“AI significantly increases the quality of a user’s learning and makes it more effective and faster thanks to the personalized approach to each student.” —Alexey Chalimov, CEO at Eastern Peak
To motivate employees to engage with the training material, an AI-powered LMS can offer rewards and badges for completing courses or achieving certain milestones. Employees can earn badges for completing a specific course or achieving a certain score on a quiz, while certificates of completion can be generated that employees can use to demonstrate their knowledge and skills to others. By personalizing rewards based on job role or skill level, an AI-powered LMS can create a more engaging learning experience that is tailored to each employee's needs.
Using gamification techniques like offering rewards, badges, and certificates for completing courses, an AI-powered LMS can increase engagement and motivation among employees. This creates a sense of achievement and progress, competition among colleagues, and provides immediate feedback and recognition for achievements. By continuously improving training programs over time, organizations can develop a skilled workforce that is motivated to achieve its goals.
Streamlining Technical Support and CRM with Effective Content Generation
As we all know, technical support departments are essential to a company's success, as they play a critical role in ensuring customer satisfaction and retention. One of the challenges that technical support teams face is keeping up with the latest software developments and providing accurate and timely support to customers. This is where an AI-powered LMS can make a significant difference.
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The AI in an LMS can analyze the technical support team's CMS/CRM and generate relevant support documents for technical support teams. By using machine learning algorithms, the LMS can analyze data from the technical support team's CMS/CRM to identify common issues that customers are facing. This allows the LMS to generate support documents that provide step-by-step instructions for resolving these issues, as well as tips and best practices for avoiding them in the future.
With the help of an AI-powered LMS, technical support teams can have access to up-to-date support documents that are customized to the specific needs of the customers. This not only streamlines their work and reduces their workload but also improves the efficiency of their work by providing pre-constructed solutions for the most common issues. This, in turn, allows them to focus on more complex issues that require their expertise, ultimately improving their overall performance.
Having worked in technical support for many years, I understand the importance of having accurate and up-to-date information readily available. An AI-powered LMS can provide technical support teams with valuable tools that enable them to provide accurate and timely support to customers, ultimately improving customer satisfaction and retention. As someone who has experienced the frustration of not having the right information at the right time, I know firsthand how important it is to have an efficient and effective technical support team that is equipped with the latest tools and resources. By leveraging the power of AI in an LMS, organizations can create a technical support team that is confident and backed up with up-to-date information, ensuring the quality and correct format for technical support to represent the company.
Marketing with AI-Powered LMS
An AI-powered cloud-based LMS can provide organizations with a range of benefits beyond its core training and support functions. One of these benefits is its ability to serve as a powerful marketing tool. By leveraging AI to analyze data and identify trends, organizations can generate targeted content that speaks directly to the needs and pain points of potential customers.
One effective way to use AI in marketing is to create issue-based content. By analyzing customer support interactions, social media, and other sources of customer feedback, an AI-powered LMS can identify common issues and challenges faced by customers. Based on this data, the LMS can generate content that speaks directly to these pain points, offering tailored solutions and insights. This approach not only helps to address customer needs, but also establishes the organization as a trusted source of information and solutions. This can lead to increased customer loyalty and brand recognition over time.
Another way to use AI in marketing is to create certificate programs that focus on specific skills or areas of expertise. These programs can be used to build a community of engaged learners who are interested in improving their skills and staying up-to-date with industry trends. By providing valuable insights and expertise, organizations can establish themselves as thought leaders in their industry, which can lead to increased customer loyalty and retention. Additionally, these programs can serve as a powerful tool for lead generation, as they can help attract potential customers who are interested in learning more about the organization's products or services.
Overall, leveraging the power of AI in an LMS can help organizations improve their marketing effectiveness and stay ahead in a rapidly changing business landscape. By generating targeted content and building engaged communities, organizations can establish trust and credibility with their customers, leading to increased customer loyalty and business success. As such, organizations that invest in AI-powered LMS technology can reap significant benefits not only in terms of employee training and development, but also in terms of marketing and brand recognition.
According to a TechJury article 35%?of companies are using AI and?42%?of companies are exploring AI for its implementation in the future.
IX. Conclusion
In conclusion, cloud-based Learning Management Systems with AI capabilities offer a cost-effective, scalable, and personalized solution for employee and customer onboarding and training. The use of AI in LMS can automate content creation, track employee progress, and provide valuable insights into employee and customer performance, making the process more efficient, effective, and personalized.
Automated training programs based on release notes in AI-powered LMS can streamline the onboarding process, improve learning outcomes, and reduce costs. By tracking employee progress and offering rewards, badges, and certificates for completing courses, AI-powered LMS can make the learning process more engaging and enjoyable for employees, leading to improved retention of information and increased productivity.
From a marketing perspective, the ability to offer employees and customers certificate programs is a valuable asset that can differentiate an organization from competitors. Certificate programs can be used as a marketing tool to attract new employees and customers by showcasing the organization's commitment to professional development and continued education. Furthermore, the implementation of certificate programs creates a demand to use and implement the organization's enterprise solution by giving an edge over the competitors by having more certified professionals on their software.
Overall, the combination of cloud-based LMS and AI represents a significant advancement in corporate education, providing organizations with the tools they need to adapt quickly to changing market conditions and technological advancements. By leveraging the power of AI in LMS, organizations can create a more agile and flexible workforce that is better equipped to meet the needs of modern businesses, enhance customer and employee experience, and improve overall organizational performance.
Considerations and Costs for Building an AI-based LMS
Building an AI-powered LMS can be a challenging and expensive project. It is important to evaluate whether AI is necessary and beneficial for your learning objectives and target audience. AI can offer several features, such as content creation, assessment, recommendation, personalization, and analytics, which can enhance your LMS. However, it also requires a lot of data, processing power, and maintenance.
If you choose to build your own AI-based LMS, you will need to hire a team of experts who have experience and knowledge in both education technology and artificial intelligence. This team should be able to design and implement the AI algorithms, as well as provide the domain knowledge and pedagogical guidance. The cost of developing an AI-based LMS can vary depending on the features, functionality, quality, and scalability of your system. According to HuskyJam, the average cost of building an LMS from scratch ranges from $50K to $300K ++.
Alternatively, you can use an existing AI-based LMS platform that offers ready-made solutions for your learning needs. Docebo is a cloud-based LMS platform that integrates LMS business features, social network learning, and AI resources to make learning more immersive and improve the competitive edge. EdApp is an AI-based learning platform that uses machine learning to provide personalized and engaging learning experiences for learners. These platforms may have different pricing models depending on the number of users, courses, features, and other factors.
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