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 secured a major win with CALYPSO, one of the 13 new EuroHPC JU AI Factory Antennas. This €10 million strategic project, led by the MDIA, links the island to the Greek PHAROS AI Factory’s immense supercomputing power. It offers Maltese SMEs, startups, and researchers unprecedented resources,training, algorithmic support, and datasets,to accelerate trustworthy AI solutions, especially in the Finance, Transport, and Health sectors.

Secure your firm's expertise in the AI-driven future. Learn how Generative Engine Optimization (GEO) and data science ensure your content is cited by ChatGPT, Gemini, and Perplexity.

The EU AI Act is here. Discover the critical compliance deadlines (2024–2027), the impact on SMEs, and the three immediate steps accountants and business leaders must take now to avoid fines up to 7% of global turnover.

Discover how Xero’s Jax AI superagent is transforming accounting from bookkeeping to strategic advising. Learn the key to unlocking hyper-automation through integrated document capture solutions. Essential reading for CPAs and firm owners looking to lead the next decade.

Prompt Engineering is the critical skill for turning generic AI outputs into actionable, accurate, and ethical business insights. Mastering techniques like Chain of Thought (CoT) significantly boosts accuracy for complex tasks like financial modeling. The best practice is an iterative cycle: craft, test, and refine your prompts. Our combined data science and financial accountability expertise provides the necessary training and integration support.

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