Accenture Announces Intent to Acquire Sentelis
Addition of local French data strategy, architecture, governance, and implementation capabilities would help clients scale artificial intelligence
Accenture has entered into an agreement to acquire Sentelis, an independent data consulting and engineering company, headquartered in France, that specializes in designing and scaling data and artificial intelligence (AI) capabilities. Sentelis would join Accenture Applied Intelligence and complement its focus on helping clients build the right data strategy and foundation to industrialize AI across their businesses.
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“Our results of operations have been adversely affected and could in the future be materially adversely impacted by the coronavirus pandemic (COVID-19)”
With a strong focus on industrializing AI and big data technologies, Sentelis has more than 50 highly skilled professionals, including data and AI advisors, architects and engineers. Since its founding in 2011, Sentelis has helped numerous clients, including some of the largest French companies, architect, engineer and scale adapted and secure data-centric architecture, enabling them to accelerate business innovation.
The combination of Sentelis’s industry experience, particularly in financial services and retail, with Accenture’s expertise in global large-scale artificial intelligence and machine learning engineering initiatives would provide highly differentiated end-to-end services to the European market.
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“The addition of the strong technical talent of Sentelis’s teams, combined with our AI and big data solutions, and deep industry expertise, would be a major opportunity to strengthen and broaden our ability to help clients scale AI across their businesses,” said Olivier Girard, market unit lead, Accenture France and Benelux. “In addition to organically growing talent, Accenture’s strategic approach to acquisitions is designed to ensure the right capabilities are in place to meet existing, as well as emerging, client needs with speed and scale. Together, we would be able to help a broader range of clients industrialize innovation in data strategy and AI.”
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