Trustworthy AI, Powered by Trusted Data
Key takeaways: The success of your AI initiatives hinges on the integrity of your data. Ensure your data is accurate, consistent, and contextualized to enable trustworthy AI systems that avoid...
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Data Governance in the AI Era: A Conversation with Data Governance Coach Nicola Askham
Key Takeaways: Data governance has transitioned from a regulatory necessity to a strategic asset that enhances innovation. Robust data governance supports AI applications, ensuring data is AI-ready,...
Latest posts from our team
Expert Insights for Your 2025 Data, Analytics, and AI Initiatives
Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity...
2025 Trends in SAP® Processes and Automation: New strategic insights
Key Takeaways: Automation adoption is gaining momentum as a core component of digital transformation strategies – but integration and multi-dimensional complexity remain top challenges. Most...
Understanding Master Data Management (MDM) and Its Role in Data Integrity
Key Takeaways: MDM delivers a unified holistic view of your data across domains, so you can make faster, more accurate decisions. Challenges around data literacy, readiness, and risk exposure need to...
4 Practical Tips for Implementing Data-Driven Personalization
Key Takeaways: Data used for personalization must be of high quality—accurate, up-to-date, and free of redundancies. 4 Practical Tips for Implementing Data-Driven Personalization in your...
Ransomware Attacks: 3 Keys to Resilience for Your IBM i Systems
Key Takeaways: In the face of ransomware attacks, a resilience strategy for IBM i systems must include measures for prevention, detection, and recovery. Built-in security features and enterprise-wide...
Women on Wednesday with Sierra Weltha
According to CIO magazine, “diversity is critical to IT performance. Diverse teams perform better, hire better talent, have more engaged members, and retain workers better than those that don’t...
2025 Planning Insights: Data Quality Remains the Top Data Integrity Challenge and Priority
Key Takeaways: Data quality is the top challenge impacting data integrity – cited as such by 64% of organizations. Data trust is impacted by data quality issues, with 67% of organizations saying...
Modern Data Architecture: Data Mesh and Data Fabric 101
Key Takeaways: Data mesh is a decentralized approach to data management, designed to shift creation and ownership of data products to domain-specific teams. Data fabric is a unified approach to data...
Retain Customers with Faster, Friendlier Claims: 4 Strategies for Insurers
Key Takeaways: In the insurance industry, customer satisfaction has a direct impact on your bottom line. Efficient claims processing and transparent communications are key to customer satisfaction....