IDC Survey Finds Artificial Intelligence to be a Priority for Organizations But Few Have Implemented an Enterprise-Wide Strategy. A recent IDC survey of global organizations already using artificial intelligence (AI) solutions found that only 25 percent had developed an enterprise-wide AI strategy. At the same time, half of the organizations surveyed see AI as a priority and two-thirds insist on the culture of “AI first”.

Ritu Jyoti, vice president Program Chair and Artificial Intelligence Strategies, said : “Artificial intelligence organizations will drive better customer engagement and accelerate rates of innovation, competitiveness, higher margins and productive employees. Organizations around the world need to assess their vision and transform their human resources, processes, technology and data to unleash the power of artificial intelligence and prosperity in the digital age”.

The main drivers of these companies’ AI initiatives were improving productivity, business agility, and customer satisfaction through automation. Faster marketing with new products and services was another major reason for implementing AI. The cost of AI solutions, the lack of qualified personnel, and the bias of data have been identified as the main factors hindering 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 is 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.

Source : IDC

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