E.ON modernizes operations with AI-driven business transformation

E.ON is teaming with Infosys to realize business value through AI

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European energy giant E.ON is partnering with Infosys to modernize operations through artificial intelligence (AI) driven business transformation.

The collaboration will help create an experience-led, data-driven, sustainability-focused digital workplace ecosystem, facilitating E.ON’s transition to a full stack digital energy company that will aim to realize business value through AI, according to the announcement.

E.ON will leverage Infosys Topaz, an AI-first offering using generative AI technologies, to modernize operations, enhance user value and foster innovation through a product-centric, agile and automated approach, while enforcing state-of-the-art security and compliance.

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A human-centric approach to AI-driven transformation

E.ON and Infosys aim to implement a “human-centric” support model to give E.ON employees the choice, control and convenience to become more efficient and to enable even faster business innovation, the pair stated.

“At E.ON, we are playmakers for new energy. Digitalization and digital technology are key for reliable, affordable and sustainable energy systems,” said Dr Victoria Ossadnik, COO digital and innovation at E.ON. “Our strategic partnership with Infosys is essential for our digital transformation and operation – together, we are paving the way for a smarter, more efficient energy future.”

Infosys will enable an AI-powered digital workplace transformation that will bolster productivity and employee experience at E.ON, added Ashiss Kumar Dash, EVP and global head – services, utilities, resources, energy and enterprise sustainability at Infosys.

“We believe that energy companies like E.ON are at the forefront of driving a digital revolution driven by the need to better meet evolving customer demands and achieve operational excellence. Infosys is committed to providing the solutions and support needed to help enterprises navigate this evolution, while creating lasting value for both the organization and its customers.”


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The rise of AI-driven business transformation

AI-driven business transformation is a hot topic right now as organizations continue to invest in AI technology to modernize and improve operations. AI-driven business transformation is not about using AI as a tool, but reimagining business models and operations around AI capabilities. It often involves a cultural shift as much as a technological one.

Some of the world’s biggest brands take an AI-driven approach. For example, Amazon uses AI for dynamic pricing, logistics optimization and personalized shopping. Netflix relies on AI to recommend content and reduce customer churn while Siemens applies AI in predictive maintenance for industrial equipment.

The benefits of successfully adopting AI-driven transformation include increased efficiency and cost savings, better decision-making, new revenue opportunities, enhanced competitiveness and improved customer satisfaction.

Image credit: E.ON

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Accelerating business transformation with bespoke solutions on ServiceNow App Engine

Today, off-the-shelf software solutions offer diverse features that enable vast opportunities to implement and maintain business transformation. However, in some circumstances, capabilities lack the flexibility and specificity required to address the unique challenges and workflows of individual organizations. As a result, there is a growing shift toward bespoke application development – custom-built solutions that align precisely with strategic goals and operational demands.

Download this report to explore how enterprises can harness the power of custom applications to drive meaningful transformation. With the growing adoption of low-code platforms like ServiceNow App Engine, organizations are building custom applications faster and with greater control. By empowering both IT professionals and citizen developers to build tailored solutions, organizations can significantly reduce time to value while maintaining control over quality and compliance.

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