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AI to be a Priority for Cos, But Few Have Implemented an Enterprise-Wide Strategy: IDC

IDC has conducted a recent survey of global organization have found that few organizations and found that only 25% of organizations are using Artificial intelligence (AI) as enterprise wide strategy. At the same time, half the organizations surveyed see AI as a priority and two thirds are emphasizing an “AI First” culture.

“Organizations that embrace AI will drive better customer engagements and have accelerated rates of innovation, higher competitiveness, higher margins, and productive employees.

Organizations worldwide must evaluate their vision and transform their people, processes, technology, and data readiness to unleash the power of AI and thrive in the digital era,” said Ritu Jyoti, program vice president, Artificial Intelligence Strategies.

The primary drivers behind these organizations’ AI initiatives were to improve productivity, business agility, and customer satisfaction via automation. Faster time to market with new products and services was another leading reason for implementing AI. It has been found that the cost of AI solutions, a lack of skilled personnel, and bias in the data were identified as the primary factors holding back the implementation of AI technology in these organizations.

Other key findings from the survey include:

  • More than 60% of organizations reported changes in their business model in association with their AI adoption.
  • IT operations are the number 1 business area for employing AI, followed closely by customer service and fraud/risk management.
  • Trust, bias, and ethics considerations are gaining importance: nearly 50% of organizations reported having a formalized framework to encourage considerations of ethical use, potential bias risks, and trust implications, and close to 25% have established a senior management position to ensure adherence.
  • Most organizations reported some failures among their AI projects with a quarter of them reporting up to 50% failure rate; lack of skilled staff and unrealistic expectations were identified as the top reasons for failure.

(Image Courtesy: www.eweek.com)

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