We begin to explore the causes of failures in the use of Artificial Intelligence in business processes 🌎

The first reason why your AI strategy doesn’t work 🤷‍♀️
Where did it all go wrong? Instead of succeeding, many new people implementing AI fall into common pitfalls that hinder the benefits of technology. 📲🖥 Here’s how to get back on track.

Artificial Intelligence (AI) promises to help businesses increase productivity, business agility and customer satisfaction by reducing the time it takes to bring new products and services to market. 🤝🙌

However, as more IT leaders 📲dive their organizations deep into AI science, many find frustration rather than success. For example, an IDC 2020 study found that 28% of artificial intelligence and machine language (ML) initiatives failed.

Creating an effective AI strategy requires careful planning, clearly defined goals and management commitments, and the ability to deftly avoid common mistakes. If your organization’s current AI strategy is not delivering the expected results, here is the first possible reason.

1. Insufficient staff training
Improper customer satisfaction is one of the biggest obstacles to successful AI deployment. 👨‍💻👨‍💻

“If a business doesn’t prepare people to use an AI solution, it won’t be large-scale,” warns Aubrie Hicks, a general manager of information systems and technology management at SYPWAI. It’s not just about training, she adds. “This requires updating policies and establishing business support, not just technical support.”

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