28 August 2024 Introducing our New Get AI Ready Series Share this message Latest Get AI Ready Blog Posts: Understanding Data Quality Building Ethical AI: Practical Frameworks for Responsible Innovation Artificial Intelligence, Machine Learning, and Deep Learning Explained: How They Impact Your Business Data and analytics are evolving fast, with AI leading the way. To fully unlock AI’s potential, whether for smarter decisions, trend predictions, or automation, you need a solid data and analytics foundation. That’s where our new “Get AI Ready” blog series comes in. Why AI Readiness Matters To make AI work well, you need more than just advanced tools and algorithms. You also need a solid foundation with well-organized data, the right technology, and skilled people. For organizations wanting to succeed in an AI driven world, being ready for AI isn’t optional, it’s a must. But what does it really mean to be “AI Ready”? And how can you ensure that your data and analytics environment is set up for success? Our series will dive into these questions and more, offering practical insights, expert advice, and actionable steps to guide your AI transformation journey. What to Expect from the “Get AI Ready” Series Over the coming weeks, we’ll be covering a range of topics designed to help you build, assess, and optimize your data and analytics capabilities for AI. Here’s a sneak peek of what’s in store: Building a Solid Data Foundation: Essential Steps for AI ReadinessStart with the basics, learn how to clean, manage, and structure your data to lay the groundwork for successful AI implementation. How to Assess Your Organization’s AI Readiness in Data and AnalyticsFind out how to assess your current skills and spot any gaps in your AI readiness. We’ll also give you a handy checklist to make sure you’re all set to embrace AI. Data Integration Strategies: Unifying Data Sources for AI SuccessLearn how to bring together data from different places in your organization to get a clearer and more complete picture, allowing AI to provide better insights and help make smarter decisions. Mastering Data Governance for AI: Policies and Practices You NeedTake your data governance up a notch. We have revised some key principles towards AI readiness, so that your data landscape is secure, compliant and high quality AI ready From Descriptive to Predictive: Upgrading Your Analytics Stack for AIFind out how to transition from traditional analytics to AI-powered insights that drive real business value. And that’s just the start! We’ll also look at automation, data management and cloud tools to boost your analytics with AI. Who Should Tune In? If you’re looking to shift from traditional analytics to AI-driven decisions, this series is perfect for you. It’s designed for data and analytics leaders, IT professionals, and business decision-makers who are excited about AI but need to build a solid foundation first or are unsure if they’re ready to take the AI leap. Your Path to AI Success Starts Here At the core of any successful AI initiative is a robust data strategy. With our “Get AI Ready” series, we aim to provide you with the tools, strategies, and knowledge you need to transform your data into a powerful engine for AI. To make sure you don’t miss a single post in the series, subscribe to our newsletter or follow us on LinkedIn for updates. We’re excited to help you take the next step in your AI journey, let’s get started! AI Bitmetric Qlik How can we help? Whether something’s still unclear or you’re ready to take the next step, Barry and Eric are happy to talk it through. Email us, call us, or book a meeting at a time that works for you. Call us Mail us 1 September 2026 Qlik Answers review: What we learned from real-world testing We tested Qlik Answers on a real production sales model to see how it handles real-world analytics. The results were promising, but getting reliable answers required careful work on the logical model, master measures, dimensions and business context. AI Data Analysis Qlik Semantic Layer 25 August 2026 Your semantic layer is becoming the API for AI Semantic layers are not new, but AI is giving them a new role. Where they once primarily powered dashboards, semantic models are increasingly becoming the layer that provides AI with reliable business context. AI Data Governance Microsoft Fabric Qlik Semantic Layer TimeXtender 17 August 2026 Putting AI to work on your data works. But not like this. Putting AI to work on your data sounds simple. But what can we learn from organizations already doing it? Based on Anthropic’s experience and independent research: what works, what doesn’t, and why maintenance is where the real work lies. AI Data Governance Data Management Power BI Qlik
1 September 2026 Qlik Answers review: What we learned from real-world testing We tested Qlik Answers on a real production sales model to see how it handles real-world analytics. The results were promising, but getting reliable answers required careful work on the logical model, master measures, dimensions and business context. AI Data Analysis Qlik Semantic Layer
25 August 2026 Your semantic layer is becoming the API for AI Semantic layers are not new, but AI is giving them a new role. Where they once primarily powered dashboards, semantic models are increasingly becoming the layer that provides AI with reliable business context. AI Data Governance Microsoft Fabric Qlik Semantic Layer TimeXtender
17 August 2026 Putting AI to work on your data works. But not like this. Putting AI to work on your data sounds simple. But what can we learn from organizations already doing it? Based on Anthropic’s experience and independent research: what works, what doesn’t, and why maintenance is where the real work lies. AI Data Governance Data Management Power BI Qlik