Mastering AI Data Observability: Top Trends and Best Practices for Data Leaders
Key Takeaways: Observability is essential for trusted AI – Yet most organizations lack the structured programs, tools, and cross-team collaboration needed to make it effective. North America is pulling ahead – U.S. organizations show significantly higher observability maturity, trust in AI outputs, and use of diverse data types compared to Europe. Leaders must act now […]
Gartner Data & Analytics Summit Takeaway: “Why is nobody listening?”
Is your data AI-ready? That was a consistent theme at this year’s Gartner Data & Analytics Summit in Orlando, Florida. There were many Gartner keynotes and analyst-led sessions that had titles like: “Scale Data and Analytics on Your AI Journeys” “What Everyone in D&A Needs to Know About (Generative) AI: The Foundations” “AI Governance: Design […]
Better Together: Data Enrichment and AI for Smarter Decision-Making
Key Takeaways Enrich your raw data with context to unlock its full potential and enable smarter, data-driven decision-making. Combine data enrichment and AI for more accurate predictions, personalized insights, and proactive strategies. To successfully implement data enrichment, identify current data gaps, choose the right providers, and leverage APIs and AI for maximum impact. Modern businesses […]
Data Integrity for AI: What’s Old is New Again
Artificial Intelligence (AI) is all the rage, and rightly so. By now most of us have experienced how Gen AI and the LLMs (large language models) that fuel it are primed to transform the way we create, research, collaborate, engage, and much more. Yet along with the AI hype and excitement comes very appropriate sanity-checks […]
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 […]
How to Power Successful AI Projects with Trusted Data
Key Takeaways: Trusted AI requires data integrity. For AI-ready data, focus on comprehensive data integration, data quality and governance, and data enrichment. A structured, business-first approach to AI is essential. Start with clear business use cases and ensure collaboration between business and IT teams for the greatest impact. Building data literacy across your organization empowers […]
AI Success – Powered by Data Governance and Quality
Key Takeaways: Data integrity is essential for AI success and reliability – helping you prevent harmful biases and inaccuracies in AI models. Robust data governance for AI ensures data privacy, compliance, and ethical AI use. Proactive data quality measures are critical, especially in AI applications. Using AI systems to analyze and improve data quality both […]
Gain an AI Advantage with Data Governance and Quality
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 continuously monitors data pipelines and alerts you to errors and anomalies. Then, you can correct them before they’re introduced into an AI system. Data governance ensures […]
AI-Powered Digital Transformation: Get Your Data and AI Ready
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 AI tools to automate SAP processes and ensure data quality. Create an AI-driven data and process improvement loop to continuously enhance your business operations. Digital business transformation remains a […]
Insights from the Gartner Data & Analytics Summit in London: Embracing Data Leadership and Strategy
The Precisely team recently had the privilege of hosting a luncheon at the Gartner Data & Analytics Summit in London. It was an engaging gathering of industry leaders from various sectors, who exchanged valuable insights into crucial aspects of data governance, strategy, and innovation. Sanjeev Mohan, former Gartner analyst and principal at SanjMo, served as […]
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, and facilitating sound AI governance practices. You need data integrity – accurate, consistent, and contextualized data – to build trust in AI applications and improve overall decision-making processes. […]