To AI And Beyond: It’s Time To Demand Better Data From Your Training Partner

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Dara Warn News

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Dara Warn is the CEO of INE, a global leader in enterprise cybersecurity training and certifications. Read Dara Warn's full executive profile here.

Artificial intelligence is fueling one of the most rapid technological sprints in history. As it propels industries large and small into the unknown at a breakneck speed, it is creating a radical new dynamic in the workforce.That support will most certainly require the upskilling and reskilling of millions of workers to adapt to new roles designed to augment a new machine-learning reality. However, simply offering training courses is no longer enough.

To ensure teams are effectively trained in these emerging technologies that are designed to harness the power of AI, training providers must design a robust new breed of skills assessments and analytics. They must provide the data to show not only who is engaging but also how and why, as well as solutions to close skill gaps on the team. CISOs and tech leaders must insist those assessments and analytics are both accessible and digestible.

By utilizing real-time data, organizations can identify trends and patterns that inform strategic decisions. For example, if data analytics reveal that a particular training module is underperforming, immediate corrective actions can be taken to enhance its effectiveness. This proactive approach ensures that training programs continue to provide a strong return on investment.

These tools can provide detailed insights into training effectiveness, employee engagement and skill development. By leveraging these insights, organizations can tailor their training programs to address specific needs and achieve big goals. The right type of data analytics will reveal skill gaps within the workforce, allowing companies to focus training efforts on areas that need improvement.

For example, a manager may want to generate a report that highlights the performance of a particular team or individual. With optimized customization and filtering options, this should be done quickly and easily with a level of detail that allows managers to provide personalized feedback and support, ultimately leading to better performance.A structured data architecture and clear interface can help team leads make quick, informed decisions based on real-time insights from generated reports.

 

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