Month: January 2024

The Role of Trainers in Implementing AI Technologies

As companies increasingly adopt AI technologies, training professionals have an important role to play in ensuring a smooth and effective implementation. AI is transforming businesses in countless ways, from automating routine tasks to generating data-driven insights. While AI holds great promise, realizing its full potential requires buy-in and skill-building across the organization. 

There are several key ways trainers can support your AI strategy:

1. Educate employees on AI basics

Provide learning opportunities to demystify AI and build foundational knowledge. Explain key AI concepts like machine learning and natural language processing in plain terms with visual aids. Foster understanding of how AI will impact various roles.

2. Empower employees through reskilling programs

Major workflow changes often accompany AI adoption. Take a proactive approach by offering reskilling programs to help employees transform and adapt their skills for a smoother transition.

3. Incorporate AI training methods

Leverage AI itself to enhance training. For instance, intelligent tutoring systems can deliver personalized, adaptive instruction and voice recognition can give feedback during roleplaying scenarios.

4. Partner across teams

Collaborate closely with integration team, HR, department heads, and innovation leaders. Learn the technical considerations, timelines and challenges, along with the business goals, objectives, and measures of success. Tailor training to complement the deployment while prioritizing new skills and workflows.

5. Evaluate AI's impact

Continuously assess how AI is impacting workflows and learning needs. Survey managers and employees on skill gaps that emerge. Establish baseline measurements before and after deployment to measure adoption, business results, and ROI. Use AI-generated insights to target relevant training to the right people. Maintain your finger on the pulse.

6. Elevate the work and inspire a positive mindset

Change management is critical with any major tech disruption. Foster excitement about AI’s potential to elevate human work. Encourage a growth mindset, emphasizing how AI can augment staff capabilities. Counter fears that AI will replace jobs by focusing on new opportunities.

The rise of Generative AI necessitates ongoing learning at all levels of an organization. Alterity is committed to fully leveraging our change management and training expertise to ensure your workforce gains the knowledge, skills, and mindsets to thrive in an AI-powered future. How organizations support employees today will determine if their AI strategy is a success. We welcome the chance to play a strategic role in this transformation.

Learning Impact at Every Stage of the Employee LifeCycle

Author: Dave Seligsohn, Chief Product and Services Officer at Alterity

I believe:

  • Learning does not operate in a vacuum
  • Learning is an essential part of Change Management
  • What gets measured, gets done
  • Learning is most effective in the “moment of need”

Establishing a seamless foundation for an effective learning organization involves applying these four statements to every stage of the Employee Lifecycle: recruitment, onboarding, management, development, promotion, and exit/retirement.This integration is crucial for driving overall business growth and improvement. Let’s look at these one by one:

Learning Does Not Operate in a Vacuum

Once you move past compliancy and required minimal training activities, you begin to focus on actual behavioral change.  When behavior changes, you have the ability to observe and measure results, leading to performance improvement (hopefully) and, by definition, learning has just bled into performance or talent management, career pathing, salary and bonus payments, etc.  Learning may be the catalyst, but its impact is far reaching.

Learning is an Essential Part of Change Management

To remain successful, companies, their teams, the roles and the people in them are in a constant state of change. After all, if something isn’t constantly changing, then by definition, it is dying or already dead. The paradox here is that few of us love change. So, we need training, enablement, support and encouragement to help us not only embrace the change, but to prepare for it and equip ourselves to successfully execute it once it is here. Change Management without learning as a key enabling factor is doomed to fail.

What Gets Measured, Gets Done

There is a basic “math” equation I like to use in this instance: Here is our business today. Add in the “change.” What is different? Business + Change = ??? Learning should result in measured behavioral change (hopefully for the better!). Improved individual behaviors will equal better team performance, which, in turn, will lead to measurable business results (increased revenue, reduced cost, higher customer satisfaction and/or retention, removal of risk, etc.). The key is tying learning to the anticipated business result BEFORE you implement the change. In this way, you can track it, determining if the change did what you thought (or hoped!) it would.

Learning is Most Effective in the “Moment of Need”

Research clearly shows that when there is need – and the more urgent and significant the need, the greater the imperative – full adoption and expression of learning is more frequent and more impactful as measured by performance improvement. The opposite is also true – learning without an urgent need or triggering event is often lost fairly quickly and may never be applied to actual job performance. There is an inverse relationship between when the learning takes place and the timing of its application; the longer the interval, the weaker the impact of the learning event. So, how do we measure learning when it happens in the moment of need? The key here is the right combination of quantitative (factual numbers, outcomes and measurable results) and qualitative (observed behaviors, team interactions, peer, customer and manager feedback) data to paint the right picture. Only looking at one of these can lead you to missing the mark on the true impact of learning or the intended change.
Taking the above foundational concepts and applying them to the Employee Lifecycle, here are some ways you can apply and measure learning at every stage:

To learn more, or talk about this in greater detail, contact us today.