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Home Technology Big Data, Analytics & Intelligence

IDC: enterprise all AI talk no action

FutureCIO Editors by FutureCIO Editors
July 14, 2019
Photo by Alex Knight from Pexels

Photo by Alex Knight from Pexels

A new IDC survey of global organizations already using artificial intelligence (AI) solutions found only 25% have developed an enterprise-wide AI strategy. Coincidentally, 50% of surveyed organizations say AI is a priority while two-thirds emphasize an "AI First" culture. More than 60% of organisations reported changes in their business model in association with their AI adoption.

The IDC report, Artificial Intelligence Global Adoption Trends & Strategies, noted that IT operations is the number one 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.

"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. 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.

Problems ahead

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.

"For many organizations, the rapid rise of digital transformation has pushed AI to the top of the corporate agenda. However, as AI accelerates toward the mainstream, organizations will need to have an effective AI strategy aligned with business goals and innovative business models to thrive in the digital era," noted Jyoti.

Related:  VMware and Intel partner to unlock private AI everywhere
Tags: Artificial IntelligenceCustomer engagementFutureCIOIDC
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