News and Articles

Unstructured data, the emails, documents, and videos piling up in your systems, is silently draining IT budgets and creating significant compliance risk. With up to 90% of enterprise data being unstructured, the cost of 'data hoarding' is unsustainable. Yet, this same data holds immense latent value, serving as the essential fuel for successful AI and machine learning initiatives. Discover 7 actionable steps to transform your data liability into a strategic asset for AI-drive

Malta has enacted L.N. 226 (AI Act) and L.N. 222 (Data Act), designating the MDIA as the primary enforcer. With new rules for high-risk AI systems starting Aug 2, 2026, and steep penalties for non-compliance, businesses must act now. This guide breaks down the new laws, timelines, and actionable steps for your organization.

AI Starts with Data. For Maltese SMEs, the first strategic step to successful AI adoption is not buying a tool, but a data audit. Clean, structured data is your most strategic asset, essential for building reliable ML models and achieving EU compliance (GDPR, AI Act). Skip data governance, and risk flawed decisions & costly regulatory issues. We offer the joint data science & accounting expertise you need to start right.

Quick Summary: 4 Key Takeaways The Problem : An MIT Report indicates that over 80% of AI initiatives fail. This is normally due to poor planning, not technical limitations. The Solution : AI must be aligned with tangible business objectives like cost savings or revenue uplift before any technology investment. Dual Foundation : Success requires both a strong data foundation (Data Science / Data Governance) and a clear tracking mechanism for capital/operational costs (Accountin