Brianna White

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Jul 30, 2019
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Struggling to get your Artificial Intelligence initiative past the early stages? Consider these lessons from teams that have successfully implemented and scaled AI strategies.
Artificial Intelligence (AI) is increasingly seen as a must-have technology that enables businesses to become agile and innovate at scale. IDC predicts global spending on artificial intelligence (AI) systems will increase from US $50 billion in 2020 to US $110 billion in 2024.
But Gartner research estimates that 50 percent of AI implementations are struggling to get past the proof-of-concept stage and be implemented at scale. The reasons vary from overhyped expectations and lack of vision to inadequate data infrastructure and lack of skilled resources.
Another important factor is the team that’s working on the AI programs. While AI teams may have the requisite tools and technologies, many lack other key capabilities – like mining for the right use cases and optimizing decision-making – that are essential for success.
Continue reading: https://enterprisersproject.com/article/2021/8/artificial-intelligence-ai-4-characteristics-successful-teams
 

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