Skip to content
Tiatra, LLCTiatra, LLC
Tiatra, LLC
Information Technology Solutions for Washington, DC Government Agencies
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact
 
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact

The mainframe’s future in the age of AI

If there’s any doubt that mainframes will have a place in the AI future, many organizations running the hardware are already planning for it.

While the 60-year-old mainframe platform wasn’t created to run AI workloads, 86% of business and IT leaders surveyed by Kyndryl say they are deploying, or plan to deploy, AI tools or applications on their mainframes. Moreover, in the near term, 71% say they are already using AI-driven insights to assist with their mainframe modernization efforts.

Running AI on mainframes as a trend is still in its infancy, but the survey suggests many companies do not plan to give up their mainframes even as AI creates new computing needs, says Petra Goude, global practice leader for core enterprise and zCloud at global managed IT services company Kyndryl.

Many Kyndryl customers seem to be thinking about how to merge the mission-critical data on their mainframes with AI tools, she says. In addition to using AI with modernization efforts, almost half of those surveyed plan to use generative AI to unlock critical mainframe data and transform it into actionable insights.

“You either move the data to the [AI] model that typically runs in cloud today, or you move the models to the machine where the data runs,” she adds. “I believe you’re going to see both.”

Meanwhile, AI can also help companies modernize their mainframe strategies, whether it be assisting with moving workloads to the cloud, converting old mainframe code, or training workers in mainframe-related technologies, Goude says.

For most users, mainframe modernization means keeping some mission-critical workloads on premises while shifting other workloads to the cloud, Goude says. A huge majority of survey respondents plan to move some workloads off the mainframe, but nearly as many say they consider mainframes important to their business strategies.

Goude sees more business and IT leaders embracing a hybrid IT environment now than in past years, when many organizations were taking an all-or-nothing approach.

“The survey is cementing the fact that the IT world is hybrid,” she says. “It’s all about the right workload in the right platform. How do you make the right choice for whatever application that you have?”

AI assisting with code

The Kyndryl survey rings true to Lisa Dyer, senior vice president of product at Ensono, an MSP that works with mainframes. Dyer sees significant customer interest in using AI to help with mainframe modernization efforts.

Ensono itself uses AI to help customers with modernization, she says. AI can be especially helpful for translating or updating code on customer mainframes, she says. AI can, for example, write snippets of new code or translate old COBOL to modern programming languages such as Java.

“AI can be assistive technology,” Dyer says. “I see it in terms of helping to optimize the code, modernize the code, renovate the code, and assist developers in maintaining that code.”

It makes sense for mainframe users to turn to AI to help modernize the platform, adds Chris Dukich, CEO of digital marketing technology company Display Now, who has worked with companies turning to AI to navigate the complexities of mainframe modernization.

“Many institutions are willing to resort to artificial intelligence to help improve outdated systems, particularly mainframes,” he says. “AI reduces the burden on several work phases, such as code rewriting or replacing databases, which streamlines the whole upgrading stage.”

Moving AI to the mainframe

Like Kyndryl’s Goude, both Dyer and Dukich have seen early efforts to run AI workloads on mainframes. This year, dozens of companies appear to be in the pilot or proof-of-concept phase, Dyer says, with more momentum coming with the next generation of mainframes.

Many organizations have their mission-critical data residing on mainframes, and it may make sense to run AI models where that data resides, Dyer says. In some cases, that may be a better alternative than moving mission-critical data to other hardware, which may not be as secure or resilient, she adds.

“You have both your customer data and then you have what I’ll call the operational data on the mainframe,” she says. “I can see the value of being able to develop and run your models directly right there, because you don’t have to move your data, you have very low latency, high throughput, all those things that you would want for certain types of AI applications.”

Many mainframe users with large datasets want to hang on to them, and running AI on them is the next frontier, Dukich adds.

“The relative reliability, security, and scalability of mainframes make them refractory to the competing clouds and render them very useful in analytic and decision-making work lubricated by AI,” he says.


Read More from This Article: The mainframe’s future in the age of AI
Source: News

Category: NewsOctober 25, 2024
Tags: art

Post navigation

PreviousPrevious post:Inteligencia artificial para agilizar la relación con el ciudadano, la apuesta del 48% de las AAPPNextNext post:Guidelines not policies: The University of Texas at San Antonio’s approach to gen AI

Related posts

휴먼컨설팅그룹, HR 솔루션 ‘휴넬’ 업그레이드 발표
May 9, 2025
Epicor expands AI offerings, launches new green initiative
May 9, 2025
MS도 합류··· 구글의 A2A 프로토콜, AI 에이전트 분야의 공용어 될까?
May 9, 2025
오픈AI, 아시아 4국에 데이터 레지던시 도입··· 한국 기업 데이터는 한국 서버에 저장
May 9, 2025
SAS supercharges Viya platform with AI agents, copilots, and synthetic data tools
May 8, 2025
IBM aims to set industry standard for enterprise AI with ITBench SaaS launch
May 8, 2025
Recent Posts
  • 휴먼컨설팅그룹, HR 솔루션 ‘휴넬’ 업그레이드 발표
  • Epicor expands AI offerings, launches new green initiative
  • MS도 합류··· 구글의 A2A 프로토콜, AI 에이전트 분야의 공용어 될까?
  • 오픈AI, 아시아 4국에 데이터 레지던시 도입··· 한국 기업 데이터는 한국 서버에 저장
  • SAS supercharges Viya platform with AI agents, copilots, and synthetic data tools
Recent Comments
    Archives
    • May 2025
    • April 2025
    • March 2025
    • February 2025
    • January 2025
    • December 2024
    • November 2024
    • October 2024
    • September 2024
    • August 2024
    • July 2024
    • June 2024
    • May 2024
    • April 2024
    • March 2024
    • February 2024
    • January 2024
    • December 2023
    • November 2023
    • October 2023
    • September 2023
    • August 2023
    • July 2023
    • June 2023
    • May 2023
    • April 2023
    • March 2023
    • February 2023
    • January 2023
    • December 2022
    • November 2022
    • October 2022
    • September 2022
    • August 2022
    • July 2022
    • June 2022
    • May 2022
    • April 2022
    • March 2022
    • February 2022
    • January 2022
    • December 2021
    • November 2021
    • October 2021
    • September 2021
    • August 2021
    • July 2021
    • June 2021
    • May 2021
    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    Categories
    • News
    Meta
    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org
    Tiatra LLC.

    Tiatra, LLC, based in the Washington, DC metropolitan area, proudly serves federal government agencies, organizations that work with the government and other commercial businesses and organizations. Tiatra specializes in a broad range of information technology (IT) development and management services incorporating solid engineering, attention to client needs, and meeting or exceeding any security parameters required. Our small yet innovative company is structured with a full complement of the necessary technical experts, working with hands-on management, to provide a high level of service and competitive pricing for your systems and engineering requirements.

    Find us on:

    FacebookTwitterLinkedin

    Submitclear

    Tiatra, LLC
    Copyright 2016. All rights reserved.