The latest technologies have transformed how people work. When it comes to the talent development function specifically, emerging technological tools can help make the task of offering training more streamlined. Read more about how to take advantage of such offerings.

Training teams have a huge opportunity to generate revenue by selling training. By turning training into a product, organizations create recurring income streams with stronger customer engagement. One of the key advantages of selling training is packaging it as a subscription service, providing predictable revenue. That model simplifies sales and encourages frequent learner engagement, driving better outcomes.

Selling Training Offers a Competitive Advantage

Selling training offers a competitive advantage, especially when integrated with tools such as training management systems (TMSs). Those systems automate and streamline the process of managing, scheduling, and selling training at scale. With features such as subscription models, training tokens, and e-commerce integrations, a TMS eliminates the administrative burden that once held training teams back.

Emerging Technologies Make Selling Training Easier

In the past, managing the complexity of selling training was challenging, but now, emerging technologies make it easier to track learner progress, handle payments, and scale offerings. With the right tools, training teams can not only drive revenue but also offer a superior learning experience—transforming training from a cost center into a profit-driving engine for the organization.

You can learn more about how to sell training in our recent guide.

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The introduction of ChatGPT has revolutionized our daily lives by providing direct, concise answers to our questions. That shift is driven by generative artificial intelligence (GenAI), which enables systems to provide tailored responses to user queries. Just look at the first result when you search online—it's normally a GenAI response. As technology advances, it's essential for content ecosystems to adapt to this new reality.

To make GenAI work with proprietary content, there are two primary paths: training a model directly or using retrieval augmented generation. RAG combines the strengths of GenAI and content curation to provide accurate answers based on your organization's proprietary content. The RAG retriever achieves that by inserting additional context to user prompts based on your proprietary content. But the content it uses for context should be quality and well structured for optimal effect. Xyleme's Intelligent Learning Content Management System (iLCMS) enables you to single-source your proprietary content in a well-defined manner, making it possible to create context-enhanced user prompts with RAG.

High-quality, well-maintained, and well-structured content is essential for GenAI to work effectively. With Xyleme's iLCMS, you can build upon your propriety content and use it as rocket fuel for AI-powered tools and solutions.

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