Losing Objectivity in the Data

Losing Objectivity in the Data

puzzle pieces of similar color scattered on flat surface

When was the last time you completed a puzzle? Was it a landscape scene? Did it have similar colors? This may have made it more difficult to distinguish between one piece location and another. Did you lose objectivity of the whole picture from a single piece?

The same is true as we begin to look and review data for ourselves. We may have difficulty discerning between the important pieces of information or determining how one piece of data relates to another. This can become even more complicated with additional data.

AI’s Objectivity

Due to its objective and program abilities, AI is being used in multiple industries with success. Recently, Artificial Intelligence, published an article listing the top 10 businesses using AI. These include marketing, sales, human resources, and customer experience, to cite a few examples.    

Each of these industries are using AI for data analytics and big data to gain insights and improve an overall set goal or objective. In this capacity, the industries are learning more about their products, services and/or customers.

AI’s Role in Training

In a more simple role, it can be argued that data analytics has been used for years by the training industry. Current learning management systems and survey systems have the capacity to collect high level data analytics from learners. The issue has been how to objectively relate the data from the learners. 

We know that AI can assist with this from its use in other industries. AI can move the training team a step beyond to answering the ROI question effectively. To be able to answer this question appropriately, we need to be able to analyze behavior. This would include a more complex survey response and gathering data from outside the LMS. An example of this could be, if the training team desired ROI on customer service training, the AI would incorporate data from the customer satisfaction ratings, cost of training, retraining, etc.

AI, Learning Analytics & QAA

With AI, more data can be analyzed allowing for a complete learning analytics view. This will allow for organizations to be confident in their ROI answer. With known ROI, the future of training goals and objectives will be based on insights discovered within the data. 

QAA provides a customized Advanced AI Learning Analytics Tool (AAILAT) that aggregates data from multiple sources for analysis. Read our whitepaper or view the AAILAT demo to gain a better understanding of the customization potential. Contact us to schedule a time for a demo and answer questions.