FEATURE: ARTIFICIAL INTELLIGENCE we aim to integrate with connected vehicles to provide warnings before dangerous situations develop, potentially saving lives through prevention rather than punishment.
• Distracted driving detection: In-vehicle cameras combined with AI can monitor driver attention and behaviour patterns. This technology could significantly reduce accidents while enabling insurance companies and fleet operators to offer incentives for safe driving behaviours, creating a positive feedback loop for road safety.
• Preventive vehicle maintenance: The wealth of data collected from connected vehicles provides early indicators of potential mechanical issues. AI can analyse this information to predict failures before they occur, reducing downtime and maintenance costs for fleet operators while extending vehicle lifespans.
• Virtual corridor management: Rather than investing hundreds of millions in physical toll infrastructure, AI-powered systems could enable dynamic road pricing using connected vehicle data. This approach could transform how cities manage traffic congestion without expensive hardware deployments, making smart transportation accessible to more communities.
Each of these applications addresses specific industry problems where the value proposition is clear and measurable, demonstrating the power of problem-first thinking.
Conclusion
Before investing in AI, ensure you’ ve conducted thorough discovery work to identify and validate real business problems. The most successful AI implementations start with customer needs, not technology capabilities. By developing a robust process for problem identification and verification, you can significantly increase your success rate with AI initiatives and deliver meaningful value to your organization.
As AI capabilities continue to evolve at an unprecedented pace, the discipline of rigorous problem discovery will become even more critical – separating organizations that generate real value from those merely chasing the next shiny technology. The question shouldn’ t be‘ How can we use AI?’ but rather‘ What problems do we need to solve, and is AI the right tool to address them?’ p
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