Read our insights

Imagine you are the CEO of a company. It’s Monday morning and today is a big day. You’re about to make a major decision—launching a brand-new product in an untapped market. The stakes are high. Get it right, and your company could capture a whole new customer base. Get it wrong, and you’ll waste months of effort, budget, and credibility.

Imagine arriving at work to find that overnight, your role has fundamentally changed. Your emails are drafted before you even open them, meetings are automatically summarised, and reports that used to take hours are now generated in seconds. The office buzzes with conversations about AI-driven strategies—except you’re struggling to keep up. Would you embrace this shift, or feel left behind?

Imagine a world where accountants work smarter, not harder – where software not only records transactions, but also analyses them, identifying trends and opportunities that might otherwise go unnoticed. Although this may sound like something out of a sci-fi movie, AI is making this vision a reality, transforming traditional processes and paving the way for exciting new innovations.

To be completely honest, I was pretty intimidated when I first heard about Deep Learning. The words deep and learning made it sound like something only super-smart people could understand! But once I got the hang of it, I was totally fascinated by how it works. It's like a machine that thinks and learns just like our brain does - pretty cool, right? So, let's go on a fun journey together to learn all about Deep Learning and how it's going to change our lives in the future, explaining it simply.

Machine Learning is, as its name defines it, a machine who learns. The first reference of Machine Learning dates back to 1959 and attributed to artificial intelligence and computer gaming pioneer; Arthur Lee Samuel. 63 years later and “self-teaching computers” (another term for Machine Learning) are revolutionising every industry, from healthcare to finance, marketing, and agriculture.

Generative AI is a type of artificial intelligence that creates new content such as text, images, music, or even ideas. Unlike traditional AI, which follows rules to provide answers, generative AI leverages what it has learned from large datasets and uses it to produce something following a request from a user.

It’s not a surprise that nowadays the rise of influencers has reshaped the landscape of traditional marketing worldwide, including Cyprus. Influencers, utilise social media platforms – Instagram, Facebook, YouTube, TikTok – to become powerful faces for different brands. However, as the influencer industry continues to grow, so do the complexities surrounding its taxation, particularly Value Added Tax (VAT).

Autonomous (driverless) cars, customer support chatbots, Alexa and Netflix suggestions are a few examples of AI that have already changed our lives. AI of course stands for Artificial Intelligence! But what does it really mean?

In this article we explore the premise of web3 and the potential of technology to put the power back in the hands of individuals rather than corporations.

The CySEC (Cyprus Securities and Exchange Commission) issued a new update regarding CASP (Crypto Asset Service Providers) to register their services.

Cryptocurrencies and distributed ledger technologies (DLTs) continue to change the world. We are at the stage of forming complex concepts of regulation for cryptocurrencies and blockchain. Therefore, today it is extremely important to understand all the intricacies of regulation from the usage of crypto assets.

Cryptocurrencies and distributed ledger technologies continue to change the world. We are at the stage of forming complex concepts of regulation of cryptocurrencies and blockchain.

Cryptocurrencies and Distributed Ledger Technologies (DLT) continue to change the world. We are at the stage of forming complex concepts of regulation of cryptocurrencies and blockchain. Therefore, today it is extremely important to understand all the intricacies of regulation and crypto-assets.

Before the introduction and enforcement of the General Data Protection Regulation (GDPR) back in May 2018, several organizations have been left exposed to risks that emerged from inadequate data protection and cybersecurity controls.

The European Commission proposed the EU Network and Information Security Directive as part of the European Cyber Security strategy. The directive came into force on the 10th of May 2018 with aim to increase the maturity level of cybersecurity across the state members of EU and ensure their strategic cooperation through Risk Management and Incident Reporting.

Our IBR research found business are laser focusing on mitigating data privacy risk at the expense of combating cyber security threats.