Data Science and Artificial Intelligence

Deep Tech Competence Area

Department Focus

Artificial Intelligence, Machine Learning, Predictive AI, Natural Language Processing

Department Head

Dr. Stylianos Kampakis (contact)

AI technology has an enormous potential to revolutionize various industries, from finance to healthcare. In finance, AI can be used to automate trading decisions, process large amounts of data for insights and predictions, and detect financial crimes. It can also help with loan processing, fraud detection and even provide customers with personalized advice. In healthcare, it can be used to automate administrative tasks, identify anomalies in medical images or patient data, provide accurate diagnoses and make recommendations for treatments. AI is also being used extensively in the retail sector for personalizing the shopping experience by recommending products based on customer preferences. Finally, AI is finding its way into logistics companies where it can provide insights about supply chain operations and help optimize routes for delivery drivers.

Creating AI solutions is difficult because it involves leveraging “deep tech” such as Machine Learning, Natural Language Processing and Computer Vision. As these technologies are still in their infancy and involve complex programming, they require a lot of up-front research, experimentation and debugging to get right. Additionally, AI solutions can be very costly to develop because the data used to train them must be high quality and large in size. Finally, deploying AI models at scale can be challenging due to hardware limitations and the need for advanced computing resources like GPUs.

At the Center for Deep Tech innovation, our approach to AI solutions is problem-focused and process-driven. We assess processes and their issues and match them with the typical archtypes of AI applications like classifications, regression, clustering and natural language processing (NLP). We leverage advanced technologies such as neural networks, deep learning, reinforcement learning and transfer learning to deliver powerful solutions that achieve measurable results. Our goal is to provide organizations with efficient but cost-effective solutions tailored to their specific goals.

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