Accenture to invest $3bn in data and AI to help clients across all industries

0
176
Accenture appoints Rajendra Prasad as Chief Information and Asset Engineering Officer
Accenture appoints Rajendra Prasad as Chief Information and Asset Engineering Officer

Through a mix of hiring, acquisitions, and training, the data and AI practise will double its AI talent to 80,000 professionals

Over three years, Accenture will invest $3 billion in its data and AI practise to help clients across all industries rapidly and responsibly advance and use AI to achieve growth, efficiency, and resilience, the company announced on Tuesday.

Through a mix of hiring, acquisitions, and training, the data and AI practise will double its AI talent to 80,000 professionals. A lot of the fresh hiring could be here given India’s strength in AI and Accenture’s massive presence in the country. Julie Sweet, chair and CEO of Accenture, said there is unprecedented interest in all areas of AI, and the substantial investment the company is making in its data and AI practise “will help clients move from interest to action to value, and in a responsible way with clear business cases.”

“Companies that build a strong foundation of AI by adopting and scaling it now, when the technology is mature and delivers clear value, will be better positioned to reinvent, compete, and achieve new levels of performance,” she said.

Worldwide, the company’s AI expertise spans more than 1,450 patents and pending patent applications. It has embedded AI across its service delivery approach.

“Over the next decade, AI will be a mega-trend, transforming industries, companies, and the way we live and work as generative AI transforms 40% of all working hours,” said Paul Daugherty, group chief executive, Accenture Technology.

Also readAutomate People and Process Management with greytHR

Do FollowCIO News LinkedIn Account | CIO News Facebook | CIO News Youtube | CIO News Twitter

About us:

CIO News, a proprietary of Mercadeo, produces award-winning content and resources for IT leaders across any industry through print articles and recorded video interviews on topics in the technology sector such as Digital Transformation, Artificial Intelligence (AI), Machine Learning (ML), Cloud, Robotics, Cyber-security, Data, Analytics, SOC, SASE, among other technology topics