Kyndryl expands AI and generative AI services and skills to accelerate mainframe modernization
5,000+
At 60 years of age, the mainframe remains a strategic IT foundation for thousands of organizations worldwide. According to research from
To help mainframe customers explore, kick-start or scale the deployment of responsible AI,
"
"The success of AI depends heavily on an organization's ability to fully leverage all enterprise information assets regardless of data format or application platform. Mission-critical information created and managed by mainframes needs to be fully integrated into enterprise generative AI and other data-intensive use cases in order to fully enable data-driven decision making and digital innovation," explains
Moving workloads off the mainframe to the cloud:
- Deliver generative AI-produced and
Kyndryl -enhanced application documentation. - Enable fast and efficient automated conversion of mainframe application code to modern languages (e.g. COBOL to Java).
- Provide AI-based insights into business logic and data relationships to help customers quickly address new business opportunities.
Integrating mainframe applications and data with cloud or distributed environments:
- Assist in enabling secure access to mainframe data used in cloud-based AI solutions and secure interoperability between mainframe and cloud solutions.
- Drive improved asset financial usage through AI-infused, dynamic workload placement.
Modernizing workloads on the mainframe:
- Advise on application code modernization to avoid potential production issues.
- Integrate real-time AI solutions into mainframe applications for better business insights.
- Enable quantum-safe data encryption to enhance customers' compliance with their security and regulatory requirements.
Optimizing application developer agility:
- Implement DevSecOps tools and processes, including AI-based recommendations, for real-time insights into programming best practices and faster time-to-market for customers.
- Enable data scientists to build new AI models and integrate these LLMOps tools with existing DevSecOps tools and processes.
For more information about
About Kyndryl
Kyndryl Press Contact
press@kyndryl.com
Forward-looking statements
This press release contains "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995. Such forward-looking statements often contain words such as "will," "anticipate," "predict," "project," "plan," "forecast," "estimate," "expect," "intend," "target," "may," "should," "would," "could," "outlook" and other similar words or expressions or the negative thereof or other variations thereon. All statements, other than statements of historical fact, including without limitation statements representing management's beliefs about future events, transactions, strategies, operations and financial results, may be forward-looking statements. These statements do not guarantee future performance and speak only as of the date of this press release and the Company does not undertake to update its forward-looking statements. Actual outcomes or results may differ materially from those suggested by forward-looking statements as a result of risks and uncertainties including those described in the "Risk Factors" section of the Company's most recent Annual Report on Form 10-K filed with the
SOURCE