Systems | Development | Analytics | API | Testing

AI Data Management: Best Practices & Tools

Artificial Intelligence (AI) is transforming the way businesses manage, process, and analyze data. AI Data Management involves the use of machine learning (ML), automation, and intelligent data pipelines to enhance data storage, governance, integration, and security. As organizations deal with ever-growing datasets, AI-driven data management solutions ensure efficiency, scalability, and accuracy.

Yes, Qlik Has Changed - And That's Exactly the Point

I recently saw a post on LinkedIn that said, “Qlik isn’t the same company it was in 2016.” I’m pretty sure that it wasn’t meant as a compliment. But here’s the thing: they’re right. And that’s a good thing. Because if we were the same company we were in 2016, we wouldn’t be prepared for the challenges businesses are facing today. The world of data and AI has changed. Businesses have changed. So, of course, Qlik has changed too.

Introducing Lineos, AI Powered by insightsoftware: Transforming Finance Workflows With Actionable Insights

Lineos reduces manual tasks and empowers finance teams to boost productivity and uncover hidden potential within their data RALEIGH, N.C. – Feb. 26, 2025 – insightsoftware, the most comprehensive provider of solutions for the Office of the CFO, today announced the launch of Lineos, a suite of AI-driven capabilities designed to enhance insightsoftware’s financial planning and analysis (FP&A), accounting, and operations products.

Your AI Project Has a Data Liberation Problem

Generative AI has the potential to add up to $4.4 trillion annually to the global economy. But most organizations won’t see that value—not because of their models or infrastructure, but because of their data. Despite years of investment in data lakes, warehouses, and analytics tools, organizations are drowning in complexity. Data is scattered across siloed systems, riddled with duplication, and locked behind outdated batch processes.

Spark NZ Sets Secure, Governed Data Foundations For The Era Of AI

Over the past few years, Spark New Zealand has tackled the challenge of creating a strong data foundation by moving all of its data warehouses into Snowflake to create a centralised data platform. Now, explains Pritha Chattopadhyay, Domain Chapter Lead at Spark, this telecommunications leader and digital services provider is diving into artificial intelligence with the help of Snowflake Cortex AI. Tune in to learn about the benefits it provides.

The Role of AI in Penetration Testing

Penetration testing is like a virtual security guard for your organization’s cybersecurity. It detects vulnerabilities before malicious attackers can exploit them. Traditionally, this process relied on skilled professionals manually probing systems for weak spots. However, with the rapid evolution of technology and the surge in cyber threats, the need for smarter, faster, and more adaptive testing methods has never been clearer.

EP 12: Welcome to the Fifth Industrial Revolution

On this episode of The AI Forecast, Mike Walsh talks us through what he calls the fifth and latest industrial revolution - and that’s AI. Mike is a futurist and expert in disruptive technologies. He’s a best-selling author, host of the Between Worlds podcast, and CEO of Tomorrow – a global consultancy helping organizations adapt to the challenges of the digital age.

Beyond the Hype: Gen AI Trends and Scaling Strategies for 2025 - MLOps Live #35 with Gartner

In this webinar, we explored the most pressing GenAI challenges and the newest strategies for implementing and scaling GenAI in 2025. Svetlana Sicualar and Yaron Haviv, AI industry leaders and veterans, referenced their work and vast experience with enterprise clients across regions and verticals. They explored key questions that every tech leader should be asking themselves.