Create real business value with scaled Generative AI. Our end-to-end services help identify Gen AI opportunities, support co-creation and ensure seamless deployment for tangible results.
The growing demand for improved efficiency and innovation across all sectors is what makes Generative AI relevant. With work tasks currently consuming 60-70% of employees' time, the automation potential of Generative AI is nothing short of revolutionary. By freeing up valuable time, companies and organizations can reallocate human resources to more strategic initiatives, unlocking productivity gains on an unprecedented scale.
However, often a single 'platform' and pre-built solution is not enough to solve the challenges where Gen AI could be most useful. Tietoevry Tech Services stands out for its ability to work with major hyperscalers in the market to implement business-relevant Generative AI solutions and operate them as a service.
With accumulated expertise, our team ensures a seamless transition from prototype to production. We provide comprehensive support and governance throughout the process, enabling organizations to not only design and test AI models, but also seamlessly integrate Generative AI into their existing workflows and business operations. Our unique strength in end-to-end support differentiates Tietoevry Tech Services as a trusted partner that helps unlock the full potential of Generative AI and deliver tangible business results.
Our end-to-end Generative AI services help you identify business opportunities and define use-cases, support co-creation and prototyping, and demonstrate Generative AI benefits. To help you successfully deploy Generative AI, our expertise ensures seamless scalability and comprehensive governance.
VP and Head of Data, Cloud and Security Services, Tech Services
Our experts are here to help you find the most beneficial use cases for Generative AI. Automate tasks, free up time and allocate resources to strategic initiatives to increase productivity.
We ensure smooth transition from prototype to production. Comprehensive support and governance enables seamless integration of Generative AI into workflows and operations
Our end-to-end support unlocks the full potential of Generative AI. Tangible business results drive efficiency, innovation and success in the evolving AI landscape.
Our mission is to help customers identify untapped business opportunities and define impactful Gen AI use cases. We create a strategic roadmap and proof of concepts, leveraging collaborative insights from your business units and our trusted partner ecosystem. With our expertise and collaborative approach, we guide you smoothly through this transformative journey, unlocking the full potential of your business.
Top picks of interesting GenAI use casesImproving developer productivity through GenAI-enabled development is at the heart of our value proposition. By prioritizing the developer experience, we support large application modernization cases across markets, enhancing capabilities and driving success in the Software Development Lifecycle (SDLC) process.
Our priority is to improve the service experience of our managed services through the use of AI and machine learning. With GenAI, we are empowering service desk and digital agents for faster resolution while automating ticket resolution and remediation. This, combined with our proven service delivery framework, revolutionizes the service experience for greater efficiency and customer satisfaction.
Process inefficiencies can result in significant costs and lost revenue. Much of this could be avoided with greater visibility to react faster. Generative AI can provide data insights to everyone, regardless of technical expertise. By using natural language queries, GenAI serves as your tireless process assistant, capable of exploring unstructured data for example in the areas of supply chain, IoT, or financial data.
Many say you need good quality data to get valuable results from GenAI. This is true, but have you considered that GenAI can help you improve data quality? It can spot anomalies and suggest better data rules. By using natural language instead of complex user interfaces, you can reduce complexity and help business users ensure data quality.
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