If you’re integrating AI into your team and organisation, you probably already know some of the obvious problems to avoid – such as waiting for it to be perfect, ignoring privacy and ethical concerns, failing to train your staff, and not having a basic AI policy or framework. But what about the more subtle traps and pitfalls you might stumble into?
In this interactive virtual masterclass, I share some of the most common – but less obvious – challenges you could face on the AI journey. Join us to learn about these hidden pitfalls and arm yourself with the knowledge to lead your AI initiatives and get more value – easier and faster – from AI.
Some highlights from the session:
- 🚀 How leaders and managers can leverage AI to drive customer engagement and enhance customer experience
- ⚖️ The trade-offs to consider when making decisions about AI – especially with ROI vs COI (cost of inaction)
- ⏱️ How to use AI to rapidly create value without waiting for the “perfect” opportunity
- 🔧 A practical five-step process for creating value – fast – using AI in your teams
- 📚 Why AI workforce training is probably not the best way to educate your people
- 📈 The practical steps you can take to address specific workplace problems and enhance productivity
- 🏆 Examples of successful AI projects, and how they achieve payoffs in four key areas
- 💡 How to empower and elevate your teams to actively engage in AI projects, leveraging their knowledge and expertise
- 👥 Ensuring your AI projects are people-driven rather than technology-driven
- 🧩 Applying the 70-20-10 learning model for AI projects
- 🛡️ Building rapid AI prototypes effectively, while still safeguarding sensitive data
- 📊 Examples of how teams are using AI to add value fast in their organisation
- 🔍 Focus on pragmatic and quick AI wins instead of waiting for a comprehensive organisational AI strategy
- 🌟 The hidden benefits of running AI projects – it goes beyond the ROI
- 🔎 How to unearth hidden talent in your team to take the lead on AI projects
You can watch the recording here:
