Using Enterprise Technology Over Traditional Learning Platforms: Why, What, and How

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It’s hard to ignore what Gartner predicts as the future impact of Generative AI(GenAI).

By 2024, 40% of enterprise applications will have embedded conversational AI, up from less than 5% in 2020. By 2027, 15% of new applications will be automatically generated by AI without a human in the loop. This is not happening at all today.

These numbers may stir feelings of unease or concern about the future. As an L&D professional, I share the feeling and the increasing urgency to reassess and rethink our existing practices.

As the pace of change accelerates, we may need to transition from annual upskilling to a much more frequent cycle, possibly monthly or even weekly. This rapid pace can seem daunting, and the risk of falling behind is a genuine concern.

What’s the solution

Certainly, Generative AI is a powerful solution to numerous problems. Generative AI may facilitate speed and efficiency, but it is likely to demand additional budgetary resources.In simple terms, tools that generate topics and graphics are usually based on larger models, which come at a cost.

Almost, daily, new tools enter the market, each one solving a unique problem, but they come with usage costs. An example is Midjourney and the paid version of ChatGPT’s 4.0.

Using Enterprise Technology

This new reality necessitates three key actions in our L&D field. First, we must find innovative ways to offer our services and support delivery,?as securing additional budget might not always be feasible. Second, we need to respond with speed and agility to changes.

Lastly, using Enterprise Technology, such as Microsoft Teams ( or even Slack) to deliver the designs becomes essential. Importantly, we need to monitor how our organization adopts Generative AI, using their own data contextually.

Please note you can use other technology platforms as well, such as Slack. It depends on what is available in your organization.

Understanding whether your organization is considering adopting a boxed version of ChatGPT or working on Large Language Models (LLMs) is crucial. You'd want to be part of that team or at least closely aligned with it.

Look out for what’s coming

With Microsoft's Co-pilot, you may be able to accomplish more speed and practicality. There may not be a need to wait for a specific AI-powered learning platform. For more information on Co-pilot, you can watch this video.

Triple win with Enterprise Technology

By adopting SEED's practice of using Enterprise Technology and modifying the design approach (not just content design, but the entire journey), you can achieve a triple win: increased speed, reduced costs, and alignment with your organization and customers' (the learners') expectations.

Objective?

In this article, we’ll explore how SEED’s key practice using Enterprise Technology can be leveraged to swiftly create engaging learning experiences. This approach helps you to overcome challenges, stay relevant and move to the next level.

This approach has numerous benefits, particularly in the current context:

-??????No cost to acquire new technology

-??????Faster

-??????Faster and provide more data metrices

-??????Allows you to make changes to content and activities in real time

-??????Scales your learning assets / program literally instantly

-??????Converges social, collaborative, drip-feed, expert-led, peer-led learning models within seconds

-??????Conduct live webinars, live podcasts all within a matter of seconds all in one place

-??????No need to persuade people to adopt this platform – it's likely your digital watercooler, people are already using it

-??????Starting to use Enterprise Technology, such as Microsoft Teams and staying linked to the evolving ones will help you to move fast in the current scenario and be ready for the future.?

Example of using Enterperise Technology - Microsoft Teams

I utilized Microsoft Teams to deliver an interactive design based on Buyer’s journey and content funnel. Tracking learner engagement at each stage, and making content changes was effortless. I avoided using elearning and creating polls, quizzes was easy with the in-built apps and features available on Teams. The result was a high engagement rate of upto 90% and upto 70% conversion rate from one stage to the next, gradually increasing to 100% completion.

Using Enterprise Technology encourages us to adopt innovative design approaches, such as the Buyer’s Journey.

[Note: An essential component of Buyer's Journey are personas. I'll cover that in one of the future articles.]

I have also experimented and used simple and quick to use tools like iSpring Irene Cooper , 7Taps Kate Udalova , EasySim platform, and Edtech to accelerate the process of creating and updating your content assets. You can also give these a try.

I have designed an easy model that taps aspects of Buyer’s Journey and the content funnel stages to learning. [You can read more about this?in my book.]

I’ll illustrate below how to use Enterprise Technology (Microsoft Teams) to implement this design.?

Automation using ChatGPT and Microsoft Teams

How can you use ChatGPT, Microsoft Teams to design a buyers journey, gather customer ( learner ) engagement data and analyze insights using Excel or ChatGPT.

If you have access to the free version of ChatGPT, you can rapidly transition to a new design and scale it is using Enterprise Technology, such as Microsoft Teams.

I have detailed the automation flow and associated prompts and examples below. You can also see how each asset in the journey is executed on Teams in the example that follows this table.

Mapping Buyer's Journey stages and Microsoft Teams features

Before we explore the different stages of the Buyer's Journey, let's first familiarize ourselves with some Microsoft Teams features that will be used in this process. Understanding these tools will make it easier for you to grasp how they can be applied in the stages that follow.

If you're already comfortable with these features, feel free to skip ahead to the stages. For those who'd like a detailed walkthrough, please watch this slide presentation.

Note: Please note the example?used later Machine learning, is only for purpose of illustration and not a complete and vetted set of titles or topics for Machine learning.

Mapping Buyer's Journey Stages to Teams features/functions

If you want to delve deeper into any of these practices, I've blocked out some time for?free 'coffee chat'?sessions until the end of August.

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