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Nearly twice as many companies have started their AI journey in 2020 compared to 2019, as per the latest IDC study sponsored by Dataiku. The study highlights 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 IDC InfoBrief on APAC AI maturity takes snapshots of AI adoption in Asia/Pacific, comparing strategies, capabilities, and practices to accelerate value delivery. In particular, the study reveals the impact of the global health crisis on technology investments and advancement across the region.
The development of AI in Asia Pacific is continuing to gather pace said Dr. Chris Marshall, Associate Vice President, Analytics, Big Data and Artificial Intelligence, IDC Asia/Pacific. “We have moved from isolated AI pilots through centers of excellence and are rapidly progressing towards lo-code AI apps distributed across enterprise platforms.”
When it comes to technology, 43 percent 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.
“If there’s anything we can glean from this research it’s that organizations that are incorporating AI into their underlying business strategies are propelling themselves farther ahead of the pack,” said Richard Jones, General Manager, APAC, Dataiku. “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.”
