Skills shortage, cybersecurity, trust issues hamper AI adoption pace in India

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Skills shortage, cybersecurity, trust issues hamper AI adoption pace in India

AI adoption in India is significantly hindered by a shortage of skilled manpower, cybersecurity challenges, and trust issues. Many organizations are pausing or shelving AI projects due to these obstacles, with a notable percentage of businesses reporting stalled initiatives. A survey indicates that 31% of companies lack the necessary talent to develop AI solutions, while trust concerns have led to reduced investments in AI technologies.

The findings emphasize the urgent need for a robust cybersecurity framework and clear regulations to foster trust in AI adoption. Companies like Qlik highlight that many businesses are turning to ready-made AI solutions to overcome these hurdles and achieve measurable returns on investment. Additionally, the workforce is actively being upskilled to bridge the talent gap, with 72% of organizations addressing this issue through targeted hiring.

• 31% of Indian businesses lack talent for AI development.

• 92% of executives cite security vulnerabilities as a major concern.

Key AI Terms Mentioned in this Article

AI Adoption

AI adoption refers to the integration of artificial intelligence technologies into business processes and operations.

Cybersecurity

Cybersecurity involves protecting systems and data from cyber threats, which is a significant concern for AI implementation.

Skills Gap

The skills gap indicates the disparity between the skills required for AI development and the available workforce capabilities.

Companies Mentioned in this Article

Qlik

Qlik is a data integration and analytics company that provides insights into AI project challenges faced by businesses in India.

Deloitte

Deloitte is a global consulting firm that highlights security vulnerabilities and regulatory uncertainties impacting AI adoption in India.

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