Wanted: Data

AI Project Teams Are at the Mercy of Their Information Quality

Good data is the lifeblood of a successful artificial intelligence (AI) project. But collecting and parsing quality data can be time-consuming and costly. That leaves many AI teams facing a frustrating dearth of data.

GLOBAL APPETITE

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77%

of respondents in China expect AI to transform their business by 2021—the highest level globally

US$35.8 billion

Amount expected to be spent globally on AI systems by the end of 2019. By 2022, that total is expected to more than double, to US$79.2 billion.

INFORMATION DEFICIT

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of organizations pursuing AI projects have run into problems with data quality, data labeling required to train AI initiatives and building model confidence.

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AI professionals and data scientists report that training AI with existing data is more difficult than expected.

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of executives say their companies have a clear strategy in place for sourcing the data that drives AI initiatives.

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of executives say less than one-tenth of their company's digital budget goes toward AI.

Sources: Future in the Balance?: How Countries Are Pursuing an AI Advantage, Deloitte, 2019; Worldwide Semiannual Artificial Intelligence Systems Spending Guide, International Data Corp., 2019; What Data Scientists Tell Us About AI Model Training Today, Alegion, 2019; McKinsey Global Survey, 2018

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