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   <title>Infosys to Modernize Valmet’s IT Operations with AI and Cloud</title>
   <updated>2026-06-16T14:04:00+02:00</updated>
   <id>https://www.dailycsr.com/Infosys-to-Modernize-Valmet-s-IT-Operations-with-AI-and-Cloud_a5880.html</id>
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   <published>2026-06-16T13:59:00+02:00</published>
   <author><name>Debashish Mukherjee</name></author>
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      <img src="https://www.dailycsr.com/photo/art/default/96997907-67596495.jpg?v=1781611402" alt="Infosys to Modernize Valmet’s IT Operations with AI and Cloud" title="Infosys to Modernize Valmet’s IT Operations with AI and Cloud" />
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      <p style="text-align:justify;text-justify:inter-ideograph">Infosys, a global provider of AI-driven consulting and technology services, has entered into a long-term strategic partnership with Valmet, a leading technology company serving process industries. Under this agreement, Infosys will help modernize Valmet’s core IT environment and drive a comprehensive IT transformation program aimed at improving operational performance and ensuring stronger alignment between technology functions and business goals.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">As part of the initiative, Infosys will apply its industry knowledge and technology expertise to enhance Valmet’s IT landscape in support of the company’s "Lead the Way" strategy. The collaboration is expected to streamline operations, optimize resource utilization, lower operating costs, and enable more proactive management of enterprise IT services. It will also help establish a robust and future-ready technology foundation that remains closely connected to business objectives.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">To enable this transformation, Infosys will deploy Infosys Topaz Fabric, its open and composable agentic AI services platform, to introduce intelligent automation across IT operations. Using a human-in-the-loop governance model, the solution will emphasize transparency, accuracy, and oversight while improving productivity, accelerating issue resolution, and strengthening operational resilience.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">Additionally, Infosys will utilize Infosys Cobalt, its cloud transformation suite, to build secure, scalable, and modern cloud infrastructure that supports Valmet’s IT modernization objectives. Combined, these technologies will help establish an AI-first operating framework designed to enhance efficiency, strengthen resilience, and support long-term business adaptability.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">Commenting on the partnership, Arto Huuskonen stated that Valmet’s objective is to create a resilient and future-oriented digital foundation capable of supporting the company’s strategic ambitions. He noted that, as the organization advances its IT modernization efforts, improving efficiency and governance remains a key priority. He added that Infosys’ expertise in AI, cloud technologies, and managed services, along with its responsible approach to AI adoption, will help accelerate Valmet’s transformation journey and establish a scalable operating model aligned with evolving business requirements.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">Jasmeet Singh highlighted that organizations seeking sustainable growth must adopt AI-driven, business-centric, and future-ready technology ecosystems. He noted that the collaboration demonstrates Infosys’ commitment to delivering transformational outcomes through its AI and cloud capabilities. According to Singh, the partnership aims to foster innovation, improve operational agility, and generate long-term value that supports Valmet’s strategic vision.<o:p></o:p> <br />  
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  <entry>
   <title>AI-Ready ERP: Modernize Your Systems for Intelligent Automation and Insights</title>
   <updated>2025-12-15T11:42:00+01:00</updated>
   <id>https://www.dailycsr.com/AI-Ready-ERP-Modernize-Your-Systems-for-Intelligent-Automation-and-Insights_a5355.html</id>
   <category term="Companies" />
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   <published>2025-12-15T11:40:00+01:00</published>
   <author><name>Debashish Mukherjee</name></author>
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      <div style="text-align: justify;">In today’s rapidly evolving digital landscape, artificial intelligence (AI) has become a constant presence—shaping executive strategy discussions and transforming day-to-day operations alike. As interest grows, many leaders are asking a familiar question: <em>can AI simply be layered onto existing systems?</em> <br />   <br />  At first glance, adding AI to a legacy Enterprise Resource Planning (ERP) platform seems like an easy win. It suggests smarter processes without major change and deeper insights without reengineering. In practice, however, this approach rarely delivers lasting value. <br />   <br />  <strong>AI depends on more than data—it requires the right foundation</strong> <br />  For AI to be effective, data must be accurate, connected and meaningful. Older ERP platforms were never designed with these requirements in mind. Common challenges include:</div>    <ul>  	<li style="text-align: justify;">Inflexible system architectures that don’t integrate easily with modern AI tools</li>  	<li style="text-align: justify;">Disconnected data silos that limit machine learning accuracy</li>  	<li style="text-align: justify;">System performance issues that prevent real-time analytics and decision-making</li>  	<li style="text-align: justify;">Increased security and compliance concerns when advanced technologies are forced into outdated environments</li>  </ul>    <div style="text-align: justify;">While APIs and middleware can provide temporary connections, they can’t compensate for the structural limitations of legacy systems when it comes to speed, scale and complexity. <br />   <br />  <strong>ERP modernization is a strategic imperative</strong> <br />  Updating ERP systems isn’t simply a technology refresh—it’s a business strategy. Organizations that make modernization a core discipline gain the ability to:</div>    <ul>  	<li style="text-align: justify;">Reengineer processes for automation and efficiency</li>  	<li style="text-align: justify;">Make enterprise-wide data available for AI-powered insights</li>  	<li style="text-align: justify;">Respond more quickly to shifting markets and evolving customer needs</li>  </ul>    <div style="text-align: justify;">This isn’t about adopting technology for its own sake. It’s about creating a resilient foundation that enables long-term innovation. <br />   <br />  <strong>What defines an AI-ready ERP?</strong> <br />  Modern ERP platforms have evolved beyond basic record-keeping. They function as intelligent systems that actively support decision-making. An AI-enabled ERP typically includes:</div>    <ul>  	<li style="text-align: justify;"><strong>Built-in AI functionality:</strong> Intelligence is embedded directly into workflows, supporting capabilities such as predictive maintenance, demand planning and anomaly detection.</li>  	<li style="text-align: justify;"><strong>Integrated data architecture:</strong> A unified data model across departments ensures machine learning outputs are accurate and timely.</li>  	<li style="text-align: justify;"><strong>Modular, composable structure:</strong> New features can be added without large-scale system overhauls, allowing businesses to remain agile.</li>  	<li style="text-align: justify;"><strong>Cloud-native design:</strong> AI requires scalable computing power and strong security—capabilities that cloud platforms provide more effectively than traditional on-premise systems.</li>  	<li style="text-align: justify;"><strong>Industry-focused intelligence:</strong> Preconfigured models and processes aligned to specific sectors reduce implementation time and customization effort.</li>  </ul>    <div style="text-align: justify;">Platforms like IFS Cloud illustrate this approach by embedding AI directly into the core system, enabling intelligent automation and predictive insights without relying on external add-ons. This architecture allows organizations to innovate continuously as AI capabilities evolve. <br />   <br />  <strong>The takeaway: design for AI, don’t just attach it</strong> <br />  AI is not a shortcut to transformation. Its impact depends on being part of a broader, well-designed ecosystem built on modern, adaptable and intelligent platforms. <br />   <br />  For organizations aiming to achieve meaningful change rather than incremental improvements, Baker Tilly is ready to support clients as they navigate the operational and technological shifts driven by AI.</div>  
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