Best practices for orchestrating AI solutions

While it’s clear that company executives recognise AI’s potential, many are still challenged when it comes to effectively integrating it into their organisations. According to a 2019 study from Harvard Business Review and EXL, only 8% of companies have scaled AI deployment, and 27% are at different stages of deployment. 57% are still in the planning to pilot stages of AI implementation.

The reason? Unlike other enabling technologies that humans use to work more efficiently and effectively, AI only delivers tangible value when it orchestrates people and machines into a cohesive team.

The insurance industry is already using AI to price, purchase and bind policies in near real time. Moving forward, by harnessing and analysing the data from connected devices, companies will evolve from a model of “detect and repair” to “predict and prevent,” reducing costs, improving safety and providing a better customer experience.

In this paper, we explore the best practices of an AI orchestration - the stages, the considerations and the cultural shift required to ensure humans and machines can work side-by-side as peers.

Topics covered include:
• Approaching AI in stages.
• Obstacles to overcome.
• Effectively orchestrating the human side of AI.
• Competing in a changed world.