In an era where technology evolves at an unprecedented pace, the term “Artificial Intelligence” (AI) has become ubiquitous. Whether it’s through TV broadcasts, online articles, or casual conversations, we’re constantly reminded of AI’s transformative potential. It’s not just hype; it’s a reality that is already reshaping our world. To delve deeper into this fascinating realm, CeeD, in partnership with ANSA Data Analytics and RBS, invites you to a thought-provoking discussion on AI-Driven Automations.
Event Details
Date: Tuesday, October 17th, 2023
Time: 9:30 AM – 11:30/45 AM
Venue: RBS, 6th Floor, 2 MSQ2, Broad Street, Aberdeen, AB10 1BL
The event will commence with registration at 9:30 AM and the program will begin promptly at 10:00 AM. Following the discussions, there will be ample networking opportunities.
It’s time to demystify AI and explore its inner workings. The event aims to provide attendees with a holistic understanding of AI, its functionality, and the profound impact it can have on various industries. We will also delve into the ethical and commercial dimensions of AI applications, offering a toolkit for those eager to deepen their knowledge and incorporate AI into their businesses.
John Guntoro: Machine Learning Engineer
John brings a wealth of experience as a machine learning engineer, specialising in automated solutions for multi finger calliper data analysis. His journey began as a geophysicist, and he has since transitioned into the dynamic field of AI and machine learning.
John’s journey started from years of experience working as a geophysicist in his early career, mainly focused on seismic processing and analyses of seismic attributes for interpretation. Subsequently, he took a further postgraduate education through which he gained various knowledge related to optimisation, algorithms and artificial intelligence during his research. Since then he has been involved in multiple projects which exposed him to different problem types related to data mining and data analytics. Currently, he works as a Machine Learning Engineer who is enthusiastic to apply and hone his skills in building automated systems.
Maurillio Addario: Data Analytics & Software Engineering Director
Maurillio is at the forefront of AI and machine learning, overseeing the development and application of cutting-edge techniques to unlock the true potential of client data. With over two decades of experience, his insights are invaluable.
Defining AI: Machines programmed to mimic human intelligence.
A brief historical overview: From Alan Turing’s theoretical “Turing Machine” to the modern era of deep learning.
Understanding the AI workflow: Data collection, training, validation, deployment, and the feedback loop.
Exploring learning paradigms: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Semi-Supervised Learning.
Delving into real-world applications, with a spotlight on Oil & Gas Integrity Evaluation.
Exploring other industries where AI is making an impact.
Addressing the ethical implications of AI.
Navigating the commercial aspects and challenges associated with AI adoption.
Equipping attendees with essential tools and resources to kickstart their AI journey.
An opportunity for attendees to engage directly with the experts and seek clarification on AI-related topics.
Join us on October 17th, 2023 in Aberdeen for an enlightening discussion that goes beyond the AI hype. This event promises to unravel the mysteries of AI, leaving you with a profound understanding of its capabilities and implications. Whether you’re a seasoned professional or just starting to explore the world of AI, this event is a valuable opportunity to expand your horizons.
Don’t miss out on this chance to hear from industry experts John Guntoro and Maurillio Addario. Register today and be a part of the AI revolution that is shaping our future.
ANSA Customer Support
+44 (0) 1224 336624 [email protected]
Aberdeen Data Hub
Viking House, 1 Claymore Avenue, Aberdeen Energy Park AB23 8GW. UK
Houston Data Hub
Suite 330 9940 W. Sam Houston Parkway S. Houston, Texas 77099. USA