Enova Unveils AIEVA: Pioneering AI Virtual Assistant for Enhanced Customer Interactions

Enova, a joint venture between Majid Al Futtaim and Veolia, has introduced the Artificial Intelligence Enova Virtual Assistant (AIEVA). This AI-driven platform is set to transform customer interactions by providing comprehensive support to customers, job applicants, and suppliers with timely and accurate information.

Developed in partnership with Hoplo, an Italian AI specialist, and built on Google’s sophisticated Gemini AI model, AIEVA is adept at assimilating data from diverse sources, evolving with each interaction, and integrating new insights seamlessly. Its multilingual capabilities ensure it can handle a variety of inquiries, enhancing service efficiency.

Renaud Capris, CEO of Enova, remarked, “The debut of AIEVA is a pivotal advancement in our journey to integrate cutting-edge technologies to boost client satisfaction. Incorporating Google Cloud’s Gemini models helps cement Enova’s place as a leader in leveraging AI for energy and facilities management, furthering our mission towards sustainable and intelligent industry solutions.”

AIEVA is a part of Enova’s suite of smart digital tools, which includes Hubgrade, their intelligent monitoring hub, virtual operations, the One Enova mobile app, drone inspections, and VR training programs.

Ziad Jammal, Google Cloud UAE Country Manager, expressed, “Enova’s innovative application of our Gemini AI reflects the transformational impact generative AI can have on the energy and facility management sectors. This collaboration not only enhances operational efficiencies but also paves the way for data-driven decision making within the industry.”

Looking ahead, Enova aims to expand the use of generative AI in its projects, thereby fostering new advancements in integrated energy and facilities management. AIEVA is set to provide Enova’s analysts with intricate details on energy consumption patterns and the prospective effects of energy conservation tactics, enhancing strategic decisions within the sector.

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