As the world’s largest IT infrastructure services provider, we use our data expertise and solutions to help our enterprise customers to implement and derive benefits from AI at scale to achieve specific business outcomes. In doing so, we are committed to adopting a risk-based approach to AI deployment and development by identifying, evaluating, and mitigating risks across AI-Applications lifecycle.

We believe the AI system is only as strong as the data used to train the solution. Your data quality and more importantly, your data strategy is critical to the insights you will gather from your AI system. For it to be used to its full potential, appropriate data is key.

As part of our Responsible AI approach, Kyndryl adheres to the following commitments:

• Transparency and explainability
• Detection and Reduction of bias
• Privacy and confidentiality
• Safety and security
• Accountability
• Education and training

It is through adherence to these fundamentals that Kyndryl will foster the right safeguards and processes to ensure responsible use of AI internally and with our customers.

Kyndryl´s 2023 State of Mainframe Modernization Survey Report shows that most enterprises modernize some or all their workloads to see an increase in the following areas:

• Revenue
• Data accessibility
• Innovation
• Flexibility
• Time to market
• Performance

Kyndryl helps accelerate your mainframe application, data, and infrastructure modernization and increase business value. Whether you’re looking to innovate and stay relevant in a rapidly changing marketplace or to take a holistic approach to optimizing your infrastructure, mainframe applications, and workloads, Kyndryl is here to help you on your workload modernization journey.

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