An IBM Z Data Integration Success Story
In today’s fast-paced digital world, maintaining high standards and addressing contemporary requirements is crucial for any company. One of our customers, a leading automotive manufacturer, relies on the IBM Z for its computing power and rock-solid reliability. However, they faced a growing challenge: integrating and accessing data across a complex environment. The Challenge: Complex Data, […]
What is Data Integrity?
Key Takeaways: Data integrity is achieved when data has maximum accuracy, consistency, and context – giving you the power to trust your data and make better business decisions. The journey to trusting your data can be challenging, but you can more easily and effectively build data integrity when the core capabilities you need work together. […]
Data Integration for AI: Top Use Cases and Steps for Success
Key Takeaways Trusted data is critical for AI success. Data integration ensures your AI initiatives are fueled by complete, relevant, and real-time enterprise data, minimizing errors and unreliable outcomes that could harm your business. Data integration solves key business challenges. It enables faster decision-making, boosts efficiency, and reduces costs by providing self-service access to data […]
New Year, New Approaches to Tackling IT Operations Management
As businesses evolve and delivery speeds increase, IT operations teams face environments where downtime isn’t an option. The traditional ways of operations management are over – modernization and holistic approaches are now essential. For IT operations (ITOps) teams, 2025 means reassessing technology stacks, processes, and people. Success in tackling modernization of IT operations management starts […]
The Rise of Streaming Data Architectures: What You Need to Know
Key takeaways: Real-time data is critical for exceptional customer experiences. Customers expect immediate responses and personalized interactions, and streaming data architectures help you meet these expectations. Integrated and scalable architectures drive business agility. By consolidating the data of disparate systems when leveraging streaming data architecture, you improve operational efficiency, reduce costs, and adapt to new […]
Redefining AIOps IT Workflows with Legacy System Visibility
Key Takeaways: Centralized visibility of data is key. Modern IT environments require comprehensive data for successful AIOps, that includes incorporating data from legacy systems like IBM i and IBM Z into ITOps platforms. Predictive of AIOps capabilities will revolutionize IT operations. The shift from reactive to proactive IT operations is driven by AI-powered analysis, automation […]
Mainframe Data Meets AI: Reducing Bias and Enhancing Predictive Power
Key Takeaways: The significance of using legacy systems like mainframes in modern AI. How mainframe data helps reduce bias in AI models. The challenges and solutions involved in integrating legacy data with modern AI systems. The potential benefits of these integrations. In today’s rapidly evolving technological landscape, businesses across industries are constantly looking for ways […]
Data Migration to the Cloud: Benefits and Best Practices
Key Takeaways: Cloud migration enhances agility, cuts operational costs, and helps you stay compliant with evolving regulations. Maintaining data integrity during cloud migration is essential to ensure reliable and high-quality data for better decision-making and future use in advanced applications. Partner with the right providers that offer both technical tools and expertise within your industry […]
Best Practices for Your AWS Cloud Migration
Key Takeaways: As you embark on your own migration journey, there are some key big-picture questions to consider around the best approach to take for your business. In reviewing best practices for your AWS cloud migration, it’s crucial to define your business case first, and work from there. Migrating to AWS can unlock incredible value […]
Enhance IT Visibility: Integrate IBM i and IBM Z Data into ServiceNow
Key Takeaways Machine data created by your IBM Z and IBM i is critical for flagging anomalies that may exist in your business and meeting regulatory compliance requirements Automated discovery and integration tools, like a CMDB, streamline processes, reduce risks, and enhance decision-making. Precisely Ironstream ensures real-time updates and a holistic approach to IT service […]
How to Choose a Futureproof Data Integration Solution
Key takeaways: Quickly adapt to market changes by easily adding new data sources and targets, ensuring your IT landscape evolves at the pace of your business. Gain a competitive edge with real-time data integration, crucial for time-sensitive decisions and actions in fraud detection and customer interactions. Deploy effortlessly across any environment with solutions that require […]
The Data Integration Solution Checklist: Top 10 Considerations
Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. Successful data integration solution criteria include: offering wide-ranging support for various data sources and targets, seamless integration with existing tech stacks, easy deployment, ability to capture metadata, and capability to prescribe and […]