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7 types of tech debt that could cripple your business

CIO Business Intelligence

Open source dependency debt that weighs down DevOps As a software developer, writing code feels easier than reviewing someone elses and understanding how to use it. Options to reduce data management debt include automating tasks, migrating to database as a service (DbaaS) offerings, and archiving older datasets.

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IBM: 78% of mainframe shops are piloting, operating AI apps

Network World

Organizations should leverage AI to empower DevOps teams, enhance mainframe operations, and infuse AI into business transactions,” wrote Tina Tarquinio, vice president of product management, IBM Z and LinuxONE, in a blog about the study.

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4 steps to connect change management and DevOps

CIO Business Intelligence

It’s no secret that companies are committing to DevOps. In fact, according to a recent survey, three-quarters of leaders have adopted DevOps into their operations. DevOps delivers speed and agility to the development process. Change management brings consistency to DevOps. But it’s not easy.

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Kyndryl extends Google Cloud partnership for AI-based mainframe modernization

Network World

The package supports features such as COBOL-to-Java application coding assistance, and it enables AI training using customer on-premise data, according to Kyndryl. With the new service, the idea is to offer customers generative AI-driven code analysis and documentation of mainframe applications.

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. Translating DevOps principles into your data engineering process. It includes on-demand video modules and a free assessment tool for prescriptive guidance on how to further improve your capabilities.

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Ready to transform how your IT organization drives business outcomes with AIOps?

CIO Business Intelligence

Today, IT encompasses site reliability engineering (SRE), platform engineering, DevOps, and automation teams, and the need to manage services across multi-cloud and hybrid-cloud environments in addition to legacy systems. Understanding the root cause of issues is one situational benefit of AIOps.

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Accelerating AI for financial services: Innovation at scale with NVIDIA and Microsoft

CIO Business Intelligence

As new fraud patterns are identified, GenAI is used to create synthetic data and examples used to train enhanced fraud detection models. Payments: GenAI enables synthetic data generation and real-time fraud alerts for more proactive, accurate, and timely fraud monitoring.

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