Join executive leaders at the Conversational AI & Intelligent AI Assistants Summit, presented by Five9. AI technologies are becoming prevalent in enterprises around the world. While the adoption rate varies between businesses, a majority of them -- 95% in a recent S&P Global report -- consider AI to be important in their digital transformation efforts. Organizations were expected to invest more than $50 billion in AI systems globally in 2020, according to IDC, up from $37.5 billion in 2019. And by 2024, investment is expected to reach $110 billion.

As AI systems gain increasing "citizenship" in the enterprise, organizations have to ensure the "brains in a box" are adequately trained with enough data sets and content to establish a "bedrock in trust," said Mike Redding, managing director of Strategic Technology Innovation for Accenture, speaking Friday at an Accenture Technology Vision event in Washington D.C. Deployment of AI is complicated, particularly in legacy environments. This challenge has helped give rise to the popularity of robotic process automation (RPA), which is considered "entry level AI," Redding said. Companies can deploy a digital "agent" to the desktop of an employee to augment and streamline tasks, such as those requiring the processing of nuanced regulations. As AI is rolled out, however, companies will need to understand what goes into systems before it is deployed as a way to ensure trust. With the pending GDPR deadline approaching, companies will have to soon explain what goes into AI, Redding said.