How to scale an AI implementation? Expert View

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AI has been a real winner during this current crisis with a lot of companies increasing efforts into implementing it and seeing extremely positive results following. AI adoption has increased particularly in Life Sciences, Automation, Retail, consumer products, and telecommunications. Many governments across the world have started implementing AI in their core systems. But why is it so effective now?

AI has always been extremely effective at streamlining any operation. Basically, save money on the time-consuming details by automating it, often to great results. In the wake of the pandemic, many networks and platforms experienced heavy disruption, but the ones that started adopting AI recovered very quickly.

The scaling of AI is now a very important topic that must be critically examined. Companies that have scaled their AI pilots into well-developed systems have seen vastly more success than someone who just dipped their toes and left it at that. AI pilots are the initial proto implementation of an AI system. When scaling an AI pilot, the company must critically examine each department to understand when and where they will have the most success. It is difficult to implement it everywhere at once so being efficient is the key.

According to a study by Capgemini Research Institute, there are 5 key steps to follow when scaling your AI applications

Empower: Lay down the foundation to an AI by conducting extensive research into the most effective form of implantation. Accurate and available data is the foundation of any AI implementation.

Operationalize: Setup the correct AI system for your needs, prioritize the right initiative and connect the AI strategy to the overall business strategy

Nurture: Build on the existing human talent, establish efficient collaboration techniques that allow multiple departments or partners to pick up and set up new systems

Monitor: Monitor the implemented system for errors. The implemented system should have a positive effect on business operations, make changes when necessary

Amplify: Expand the system to other departments or partners and help make efficient changes.

According to the report mentioned above, 97% of companies that scaled their AI pilots saw measurable benefits. Following these guidelines allow any organization to ease the process of scaling their AI pilots and expanding into further operations, this will undoubtedly increase the chances of gaining higher success.