Nearly twice as many companies have now started their AI journey in 2020 compared to 2019, and those that have already started are showing more AI maturity, experimenting less, and executing more repeatedly in a more coordinated way.
This growing maturity is further illustrated by the increasing importance of processes (e.g., AI governance, MLOps, and more) that ensure systematic execution and continuous improvement of AI systems.
The development of AI in the Asia Pacific is continuing to gather pace," says Dr Chris Marshall, associate vice president, analytics, big data and artificial intelligence at IDC Asia/Pacific. "We have moved from isolated AI pilots through centres of excellence and are rapidly progressing towards lo-code AI apps distributed across enterprise platforms."
Sponsored by data iku, the IDC InfoBrief – Artificial Intelligence Practices That Deliver Results – noted that when it comes to technology, 43% of organizations investing in AI have implemented an enterprise platform to consolidate resources.
While the research confirms that technology isn't the only piece of the puzzle, with the roles of data, people, and process varying along with organizations' maturity, AI platforms can be an accelerator for businesses across all stages of AI growth.
Reflecting on the results of the research, Richard Jones, general manager APAC at Dataiku, opined that organizations that are incorporating AI into their underlying business strategies are propelling themselves farther and farther ahead of the pack.
"Companies that want to keep pace in the next three to five years will need to start investing in and executing on AI, and the good news is many of the best practices for doing so are already in place for them to catch up," he added.
