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Data privacy and protection are no longer optional—they’re critical to driving responsible innovation in business, government, and beyond.
This updated course for 2025 dives into the ethical challenges of AI and LLMs, explores global standards like GDPR, and unpacks the real-world risks and costs of getting it wrong.
Whether you’re an exec, IT pro, or data-savvy ninja, you’ll find practical tools and fresh insights to build a stronger data culture and unlock safer, smarter use of tech. Ready to see how? Watch the teaser video now.
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In recent years, reverse engineering has seen remarkable progress, driven largely by advances in AI and machine learning. These technologies now play a key role
In this new digital age, when large amounts of data are produced every single day, data storage and data protection have become more critical than ever before.
Over the past couple of years, the conversation surrounding AI tools has shifted from fear and anxiety to uncontested recognition of their necessity. The key takeaway
ChatGPT, BERT, Claude, Cohere, and Llama are just a few examples of Large Language Models (LLMs) that utilise deep learning algorithms alongside large data sets
If you were to create something truly amazing, how would you feel if someone else copied or used your creation without your consent? It doesn’t
Over the last few years, most of us have integrated technology into nearly every aspect of our daily lives. From the software solutions we use
