From Vision to Reality: Navigating the Pitfalls of AI Implementation
From Vision to Reality: Navigating the Pitfalls of AI Implementation
Uncover why most AI projects stall and how to overcome barriers like data quality, security, and scalability to turn your AI vision into reality.
Implementing AI is often seen as the next big leap, but with 90% of AI projects failing to reach the implementation stage (Gartner), the road to AI success is riddled with challenges.
In this webinar, we’ll delve into the most common pitfalls and risks IT leaders face, from data integration and model training issues to security and scalability obstacles. We’ll also share some practical strategies and expert insights to overcome challenges and achieve AI project success.
Key insights:
- The importance of data quality and security, why it matters, and why many AI projects fail to progress beyond the pilot phase due to these issues.
- The need for a structured approach to AI enablement, focusing on accessing, preparing, and delivering data effectively.
- Why flexibility in AI solutions is crucial to success.
- A real conversation about the risks associated with data leaks.
- Discover practical strategies and expert insights to overcome these barriers and turn your AI aspirations into impactful realities for your organization.
We think you’ll leave this session feeling empowered by a better understanding of how an AI Enablement Platform, like BA Insight, can help enhance confidence and accelerate AI project deployment.
Sean Coleman
Ready to Amp Up Your Search Experience with AI Enablement?
Contact us to see how BA Insight can help you bridge the gap between AI ambition and implementation to find success. With our technology and expertise, your AI search project will deliver actionable insights and drive real results across your enterprise.
