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Overcoming the AI Skills Gap: Strategies to Develop AI Talent [Video]

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Video Content Marketing

Overcoming the AI Skills Gap: Strategies to Develop AI Talent

There’s a big gap in business right now…
between the need for AI skills and those how have it.
And that need has never been more critical.

A staggering 86% of workers believe they’ll need AI training to stay relevant,
yet only 14% of front-line employees are getting that upskilling.

Meanwhile, 60% of employers are on the hunt for talent with AI expertise, but 81% find these skills hard to come by.

I Here’s how businesses can close this gap:

Strategy one: Start training at work.

Develop in-house training modules focused on AI and data literacy.

For example, a manufacturing company could create a series of workshops where employees

use AI to optimize production lines.

The program might include sessions on
– understanding AI outputs,
– using predictive maintenance tools,
– and optimize logistics with AI software.

Strategy two: Partner with educational institutions

Team up with local universities, colleges.

Provide tailored courses and certifications in AI and machine learning.

A logistics company could partner with a local technical college.

Offer employees courses on AI in supply chain management

Employer could reimburse the course and offer free time off to attend classes

Strategy three: Create a culture of learning

Encourage employees to engage in ongoing education and experimentation

Provide a monthly AI tool testing budget or set up AI labs.

An energy business sets up an internal ‘Innovation Lab’

Employees can experiment with AI tools with the goal to improve energy efficiency.
Incentives are then offered for projects that reduce costs or improve service.

Strategy four: Develop your champions
Identify and train select employees as AI Champions.

They can mentor others and help integrate AI solutions within the company.

A construction company could select and trains their AI Champions.
They could then do regular lunch-and-learn sessions to share AI use cases,

such as predictive analytics for project management or AI-assisted design tools.

**Strategy five: Implement real world projects**

Pilot small manageable projects that solve real business problems

Get employees hands on experience

A retail company could implement pilot AI projects for inventory management.

Cross department employees could develop a system that predicts stock levels and optimizes ordering schedules.

Don’t wait until your business is starving for AI talent…build your own.
Get that training rolling to get ahead and stay in front.

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