How do strong data foundations drive GenAI success?
Reinvent your business with generative AI
Modern data foundations drive trusted GenAI outcomes
Companies are sitting on mountains of data that are difficult to mine, analyze, and deploy. To benefit from this wealth of information, enterprises are looking to use generative AI tools and solutions that rely on a strong data foundation to be successful.
Kyndryl helps you generate a strong data foundation to capture business value from GenAI deployments. Our co-creation process and expertise in running mission-critical systems enable you to develop tailored generative AI solutions that you can operate with confidence.
how kyndryl helps
We help you build strong data foundations for safe and cost-effective GenAI solutions
What we're thinking about data and GenAI
Are businesses ready for generative AI—and AI more broadly—in terms of their digital foundation?
These strategies are tailored for teams seeking both a quick start and the tools to build a sustainable, generative AI ecosystem for future investments.
While generative AI technology is continuing to evolve rapidly, here are four things to consider before adding it to your business’s arsenal of tools.
Building data foundations for responsible GenAI
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Integrating data silos for AI solutions
A sugar production and distribution leader in North America was lacking a single source of truth in data, which was costly and put the firm at risk of regulatory compliance consequences.
Kyndryl helped the customer develop a modernization roadmap and architecture, integrating SAP data into Google Cloud and deploying natural language and Generative AI tools to ensure data access and observability.
This strategic partnership — from advise, to build, implementation and management — delivered an integrated and strengthened data ecosystem ready for dynamic change.
"The future of GenAI for business is only beginning to be written. As with any new technology, there are plenty of concerns and reservations. But with a strong foundation, a proactive strategy, cost optimization and the right use cases, the future can be bright."
You have questions. We have answers.
GenAI relies on a backbone of information for it to follow its prompts. This data must be packaged and fed to its GenAI in an accessible format that it can understand for analyzing, sharing, and informed decision-making.
A data foundation is the basis for developing GenAI models. Data foundations make up the fundamental infrastructure, strategies, and processes for aggregating, managing, organizing and storing, and leveraging an enterprise’s data.
- Content creation – Generative AI can be used to rapidly create content for blogs, marketing newsletters, social media, and more
- Customer service – Improve customer experience with human-like chatbots that can handle both routine inquiries and technical issues
- Graphic and video design – Generative AI can create realistic images, animation, and audio for graphic design and video projects
Some typical GenAI uses cases include:
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