摘要： A recent survey of over 225 enterprise Data Scientists, AI technologists and business stakeholders involved in active AI and machine learning (ML) projects, suggests that for most organizations, it’s still early days for AI technology.
It is still early days for AI when it comes to the implementation of AI in organisations and there are reasons for that. An AI system requires meticulous training before it can perform its intended function. When that function involves something as complex as making human-like judgments about images or videos – “seeing,” in other words – the system must be exposed to enormous volumes of accurately labeled and annotated training data. With AI becoming a growing enterprise priority, data science teams are under tremendous pressure to deliver projects, but frequently are challenged to produce training data at the required scale and quality.
70% report that their first AI/ML investment was within last 24 months
Over half of enterprises report they have undertaken fewer than four AI and ML projects
Only half of enterprises have released AI/ML projects into production
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Full Text： dataconomy
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