2024 is the year of AI adoption on the mainframe, according to the State of Mainframe Modernization Survey from Kyndryl.
The survey also reaffirmed that while modernization projects are delivering significant financial benefits, many organizations continue to face skills shortages, preventing the transformation of complex, mission-critical systems.
As business leaders face economic, competitive, technological and regulatory challenges, they are increasingly seeking to transform and derive new value from their IT estate, including the mainframe. The survey among 500 business and IT leaders reveals that 86% of respondents are quickly adopting AI and generative AI to accelerate their mainframe modernization initiatives.
A third of respondents indicated that the platform has become a foundation for running AI-enabled workloads.
Additionally, almost half aim to use generative AI to unlock and transform critical mainframe data into actionable insights.
According to the survey, IT modernization projects and patterns are yielding substantial business results, including triple-digit one-year return on investment (ROI) of 114% to 225% and collective savings of $11.9 billion annually.
Almost all organizations have opted for a hybrid IT strategy — a combination of modernizing on the mainframe, integrating with public/private cloud, and moving applications and data off the platform. Furthermore, 96% of respondents are migrating some workloads — on average 36% — to the cloud.
Respondents identified enterprise-wide observability as critical to effectively leveraging all data across their hybrid IT environment. In fact, 92% of respondents indicated that a single dashboard is important for monitoring their operations, but 85% stated they find it difficult to do this properly.
The survey also confirmed that many respondents are still grappling with a skills shortage, especially in new areas such as generative AI that can facilitate mainframe transformation and help alleviate the skills gap.
In addition, security skills are in high demand due to increasing regulatory compliance requirements, with almost all respondents flagging security as the key factor driving modernization decisions. With this increased pressure, the survey revealed that 77% of organizations are using external providers to deliver mainframe modernization projects.
The Latest
2024 is the year of AI adoption on the mainframe, according to the State of Mainframe Modernization Survey from Kyndryl ...
When employees encounter tech friction or feel frustrated with the tools they are asked to use, they will find a workaround. In fact, one in two office workers admit to using personal devices to log into work networks, with 32% of them revealing their employers are unaware of this practice, according to Securing the Digital Employee Experience ...
In today's high-stakes race to deliver innovative products without disruptions, the importance of feature management and experimentation has never been more clear. But what strategies are driving success, and which tools are truly moving the needle? ...
The demand for real-time AI capabilities is pushing data scientists to develop and manage infrastructure that can handle massive volumes of data in motion. This includes streaming data pipelines, edge computing, scalable cloud architecture, and data quality and governance. These new responsibilities require data scientists to expand their skill sets significantly ...
As the digital landscape constantly evolves, it's critical for businesses to stay ahead, especially when it comes to operating systems updates. A recent ControlUp study revealed that 82% of enterprise Windows endpoint devices have yet to migrate to Windows 11. With Microsoft's cutoff date on October 14, 2025, for Windows 10 support fast approaching, the urgency cannot be overstated ...
In Part 1 of this two-part series, I defined multi-CDN and explored how and why this approach is used by streaming services, e-commerce platforms, gaming companies and global enterprises for fast and reliable content delivery ... Now, in Part 2 of the series, I'll explore one of the biggest challenges of multi-CDN: observability.
CDNs consist of geographically distributed data centers with servers that cache and serve content close to end users to reduce latency and improve load times. Each data center is strategically placed so that digital signals can rapidly travel from one "point of presence" to the next, getting the digital signal to the viewer as fast as possible ... Multi-CDN refers to the strategy of utilizing multiple CDNs to deliver digital content across the internet ...
We surveyed IT professionals on their attitudes and practices regarding using Generative AI with databases. We asked how they are layering the technology in with their systems, where it's working the best for them, and what their concerns are ...
40% of generative AI (GenAI) solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023, according to Gartner ...