Addressing shortcomings in data management and infrastructure, as well as internal structural and process rigidities and talent deficits, loom large among challenges that are holding AI progress back.
Artificial intelligence is seen as a compelling solution that can vastly expand business intelligence. But are businesses really ready for AI and the infrastructure it requires? Not quite, a study of 600 executives published by MIT Technology Review suggests.
“Addressing shortcomings in companies’ data management and infrastructure, as well as internal structural and process rigidities and talent deficits, loom large among challenges,” the survey’s authors state. Seventy-two percent of executives say data issues may hold back their AI progress. Improving processing speeds, governance, and quality of data, as well as its sufficiency for models, are the main data imperatives to ensure AI can be scaled, they report.
A relatively small number of organizations, 14%, can be considered on the way to becoming “AI-driven.” which the survey’s authors define as “AI and machine learning underpinning almost everything the enterprise does—by 2025.”
Continue reading: https://www.rtinsights.com/ai-is-ready-for-business-but-are-businesses-ready-for-ai/
Artificial intelligence is seen as a compelling solution that can vastly expand business intelligence. But are businesses really ready for AI and the infrastructure it requires? Not quite, a study of 600 executives published by MIT Technology Review suggests.
“Addressing shortcomings in companies’ data management and infrastructure, as well as internal structural and process rigidities and talent deficits, loom large among challenges,” the survey’s authors state. Seventy-two percent of executives say data issues may hold back their AI progress. Improving processing speeds, governance, and quality of data, as well as its sufficiency for models, are the main data imperatives to ensure AI can be scaled, they report.
A relatively small number of organizations, 14%, can be considered on the way to becoming “AI-driven.” which the survey’s authors define as “AI and machine learning underpinning almost everything the enterprise does—by 2025.”
Continue reading: https://www.rtinsights.com/ai-is-ready-for-business-but-are-businesses-ready-for-ai/
