Key Takeaways: • Implement effective data quality management (DQM) to support the data accuracy, trustworthiness, and reliability you need for stronger analytics and decision-making. • Embrace...

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...

Key Takeaways Data quality ensures your data is accurate, complete, reliable, and up to date – powering AI conclusions that reduce costs and increase revenue and compliance. Data observability...

Key Takeaways Implement a multi-layered defense to ensure robust protection for your IBM i environment against evolving cybersecurity threats. Address unique IBM i security challenges by recognizing...

Key Takeaways: Enhance capabilities through partnerships: AWS, Confluent, and Precisely accelerate mainframe modernization efforts, providing you with essential tools for success. Minimize migration...

Key Takeaways: Leverage multi-domain master data management (MDM) to achieve and increase economies of scale, driving accurate insights and operational efficiency. Implementing MDM provides advanced...

Key Takeaways Leverage AI to achieve digital transformation goals: enhanced efficiency, decision-making, customer experiences, and more. Address common challenges in managing SAP master data by using...

Key Takeaways Legacy CCM systems are damaging to customer satisfaction and employee productivity and are no longer sustainable. Boost employee morale and customer loyalty with a unified customer...

Better data-driven decision-making, higher ROI, stronger compliance – what do all these outcomes have in common? They rely on high-quality data. But the truth is, it’s harder than ever for...