AI efforts are maturing from prototype to production, but obstacles remain

2020-03-23 04:30

More than half of enterprises are in the "Mature" phase of AI adoption - defined by those currently using AI for analysis or in production - while about one third are evaluating AI, and 15% report not doing anything with AI, an O'Reilly survey reveals.

Currently, just one-fifth of respondent organizations report having formal data governance processes and/or tools to support and complement their AI projects, similar to findings uncovered in the survey.

As in 2019, the biggest bottleneck to AI adoption was reported to be a lack of institutional support, followed by "Difficulties in identifying appropriate business use cases" at 20%. "AI practices are maturing, and adopters are experimenting with sophisticated AI techniques and tools, which bodes well for the future advancement of AI in the enterprise," said Rachel Roumeliotis, O'Reilly Strata Data & AI conference co-chair and strategic content director at O'Reilly.

"However, organizations will continue to struggle to expand and scale their AI practices if they don't address the importance of data governance and data conditioning in ML and AI development."

By a 2:1 margin, respondents in companies that are evaluating AI cited an unsupportive culture as the primary bulwark to AI adoption, suggesting increased resistance for organizations who have yet to put AI into production.

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