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The tech industry is one of the fastest-growing industries in the corporate world. It is a dynamic and ever-changing sector where people can build careers and thrive in them. On 1st October 2026, GTA Black Women in Tech Ireland is honoured to collaborate with Amazon Ireland to bring to Dublin a panel discussion, Q&A session and networking event that will introduce attendees to Amazon Ireland, help build their networks, explore careers in tech in general, and more specifically at Amazon. Our speakers from Amazon will talk about their careers and we will open the floor to questions that the audience might have. We will also have tech leaders from the banking and professional services industries who will explain how tech translates to careers in non-tech organisations, thus breaking the stereotypes that tech careers are solely found at companies considered tech giants. Speakers Fiona Simpson - Sales Leader, Ireland & NI at AWS Priscilla Fadele - Network Dev Engineer II Tshego Putu, Vice President, Cybersecurity, JP Morgan Ifeyinwa Egbuche, Manager, Technology & Data Operations, EY Key Takeaways You’ll leave this event with practical strategies and advice to: Build long-term career resilience in a rapidly evolving industry Identify skills to develop and careers that are possible in the world of tech Strengthen your professional visibility and positioning Practice your networking skills and connect with talented students and skilled professionals Who This Event Is For? This event is designed for: Current university students in search of internship or placement opportunities Students who have just completed their degree and are looking for graduate programmes Professionals looking to break into the tech industry Professionals already working in tech and looking to build their network Professionals already working in tech and looking for new opportunities Come ready to connect, learn and enjoy some refreshments. Finger food, tea, coffee and soft drinks will be provided thr

Neill will look back at a project from a decade ago: building and deploying a recommender system for a car rental website. He’ll cover the business problem, the approach he took, the challenges he encountered, and how the system ultimately made it into production. Along the way, \\mixture models, stochastic gradient descent, discrete choice modelling, significance testing,\\ and \\purchasing power parity\\ will all make an appearance. Drawing on his experience of taking the project from theory through to implementation, Neill will share some of the things that worked, some that didn’t, and lessons that may help you on your next data science project. \-\-\- Neill Sweeney has a B.Sc. in Applied Mathematics, an M.Sc. in Mathematics and Physics, and a Ph.D. in Artificial Intelligence, where he specialised in poker AI. He was interested in AI before it was cool. Since then, he has worked on everything from calibrating milk meters to building recommender systems for car rental websites. He has always been particularly interested in connecting theory with real-world implementation.