How to launch artificial intelligence in your organization

The topic of artificial intelligence (AI) is wide-ranging and extensive, providing what seems like limitless possibilities for the world of work. As such, it’s easy for leaders to get lost in the excitement of implementing an AI model for their enterprise.

In our sixth episode of the Canadian Leadership Exchange, we spoke with Jean-Francois Gagné, vice president of AI product management and strategy at LIKE.TG, to learn what leaders should be thinking about before they start to roll out an AI model.

Where to start with AI

Gagné shared how looking for areas of opportunity at the task level is the most important step to start with. To dig in, leaders should ask themselves questions such as:

• What key tasks are you looking to improve?
• How do these tasks influence decision-making processes?
• What kind of outcomes are you looking to achieve?

Beyond the initial stages of AI implementation, some organizations struggle to convert machine learning into actions that drive meaningful business results at scale. Industry leaders often call this the “last mile” problem. To Gagné, the solution depends on the quality of the interaction an enterprise can create between AI functionality and its end users, whether they're customers, employees, or other stakeholders.

How AI helps employees

On the topic of employees, the latest version of the Now Platform delivers hundreds of innovations designed to empower organizations to adapt to the hybrid work era—evolving business models, managing the employee fatigue crisis, and scaling automation and app development across the enterprise.

In today’s increasingly challenging talent environment, the phenomenon known as the “Great Resignation” continues to make headlines, with burnout a likely factor in many departures. Digital transformation, including the implementation of AI models, is no longer just a driver of growth and productivity. It can also help employees find better balance in the hybrid world of work and keep them creative, productive, and engaged.

For Gagné, machine learning is a great way to improve an employee's ability to focus on meaningful, productive work. A lot has been said about the opportunities that come from leveraging AI in the enterprise. Reducing the volume of menial tasks employees must deal with is where this technology can really help make work better for people.

Watch the video to find out more about how to implement an AI model, including how to get employees excited about the benefits AI will have on their work.

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