Laluyaux provides best practices for implementing decision intelligence, including understanding the problem that needs resolution, focusing on one area of decision-making that is causing issues, and choosing use cases where the trust and transparency of the AI technology can be demonstrated. He also emphasizes the importance of educating teams about decision intelligence and setting adoption goals for decisions digitized and automated. Laluyaux concludes by stating that decision intelligence is a game-changing application of AI that can provide the ultimate foundation for the future of the enterprise.
Key takeaways:
- Decision intelligence, the ability to digitize and automate decision-making, is emerging as a value generator for companies, enabling faster, more accurate decisions.
- AI-powered decisions can deliver immediate value in various ways, such as keeping store shelves stocked, enabling supply-chain visibility for health care, overcoming logistics disruptions in global manufacturing, and reducing product spoilage and food waste.
- Adopting AI technology to change decision-making is not an overnight transition, but companies willing to test and learn are overcoming challenges, improving operations and making workers' lives easier.
- Best practices for implementing decision intelligence include understanding the problem that needs resolution, focusing on one area of decision-making that is causing issues, choosing use cases where the trust and transparency of the AI technology can be demonstrated, and building a trusted technology partnership.