Today’s guest is Jamie Ellis De Paor. A passionate and diligent programmer, Jamie specialises in AI and has a strong track record of delivering successful projects. His in-depth knowledge of AI techniques and tools, combined with his ability to think strategically, allows him to drive innovation and improve business outcomes. Jamie is always eager to take on new challenges and stay up-to-date with the latest developments in AI.

Jamie is nominated in the Best Application of AI in a Student Project category at the 2023 AI Awards for his his research project addressing the challenge of providing training data for indoor robotics by creating a Unity-based semantic segmentation simulator. The project aims to advance indoor autonomous robotics, potentially impacting various industries.

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Today’s guest is Vlad Constantinescu, Head of Data Science at Getvisibility. Based in Cork, Getvisibility's customisable AI revolutionises the DSPM landscape. With cutting-edge algorithms and user-friendly interfaces, it empowers businesses to unlock unprecedented insights, optimise performance and detect anomalies in real-time. The company's tailored solutions elevate your DSPM capabilities to new heights.

Getvisibility are nominated in the Best Use of Responsible AI and Ethics at the 2023 AI Awards for addressing the challenge of managing unstructured legacy data. Their platform classifies data and ensures trustworthiness through explainable AI models impacting over 150 enterprise customers globally, by promoting data security and compliance.

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In this episode, we find ourselves at the British Ambassador's residence in Dublin, where we had  the honour of conversing with Professor Gina Neff. This gathering brings together a gathering of AI experts from both Ireland and the UK to deliberate on the objectives of the UK's AI Safety Summit scheduled for November.

Professor Neff serves as the Executive Director of the Minderoo Centre for Technology and Democracy at the University of Cambridge, renowned for her research concerning the impacts of the digital information environment. Her extensive background encompasses advisory roles for international organisations, leadership in humanitarian endeavours, and contributions to AI4Trust solutions. Her academic prowess has garnered numerous accolades, and she has played a pivotal role in creating educational resources that have reached a global audience of millions.

In our podcast, Gina delves into several captivating subjects:

Today’s guest is Sabine Louët, Founder at SciencePOD. Founded in 2014, Science Prose On-Demand is a digital publishing platform magnifying by 300% the impact of ideas. To do so, they transform complex knowledge into simple messages to better inform and influence target audiences. They deliver clear, concise, compelling content, suitable for distribution via traditional channels and social media networks. SciencePOD offer spare editorial capabilities on-demand to assist clients requiring scalability for their content creation. The company relies on a network of highly talented journalists, writers, editors who use storytelling, to produce high-quality editorial and multimedia content.

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In this episode, Mark Kelly dives into the exciting world of AI, highlighting some of the groundbreaking applications submitted for this year's AI Awards covering applications in categories for social good, startups, large enterprise and in academic research. With over 500 applications since 2018, this year promises to be the best yet, showcasing innovations that impact health, society and business.

Today’s guest is Aditya Mohan, Senior Scientific Officer (AI, Distributed Ledger/Blockchain) at the National Standards Authority of Ireland. As Ireland’s official standards body, the NSAI aims to inspire consumer confidence and create the infrastructure for products and services to be recognised and relied on, all over the world. The NSAI is the state agency is responsible for standardisation, conformity assessment and measurement, and was established under the National Standards Authority of Ireland Act 1996.

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Today’s guest is Jean Murray de Villiers, Head of Analytics at SAS Ireland.  Jean's role revolves around ensuring that their clients not only maximise the value of SAS software but that they also achieve their specific business objectives while fostering trust in AI. He plays a pivotal role in understanding each client's unique needs and challenges, collaborating with cross-functional teams to provide tailored solutions. This involves conducting in-depth consultations, analyzing data and leveraging SAS's cutting-edge analytics tools to develop actionable insights.

Jean forges strong relationships with clients, acting as a trusted advisor and advocate for their success. He works closely with them to align SAS software capabilities with their strategic goals, providing ongoing support, training, and guidance to drive adoption and ROI. Additionally, he actively contributes to SAS's commitment to innovation and customer-centricity by providing feedback and insights gathered from customer interactions, which play a vital role in shaping future product enhancements and service improvements, especially those related to promoting trustworthy and human-centered AI.

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Today’s guest is Alastair McKinley, Chief  Technology Officer at Analytics Engines. Founded in 2008, Analytics Engines work at the forefront of AI-enhanced search and discovery, offering a custom-created approach, built collaboratively to fulfil specific needs. That often includes natural language processing, pattern identification and mapping relationships across multiple unstructured sources.

The company's unique accelerator IP allows them to build and deploy solutions much faster, reducing time to value for clients, ensuring their work gets done, sooner and better. Their solutions uncover decision-critical insights; address complex institutional problems; and solve your most pressing problems meaning you get the most value, in the least time.

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Today’s guest is Paul Hunter, Head of Advanced Analytics at AIB. Paul leads a team of Data Scientists and ML Engineers to deliver high value machine learning use cases at scale at enterprise level, as well as developing an MLOps framework on the cloud for Advanced Analytics to enhance scalability, standardisation and governance in Machine Learning.

Paul is also responsible for enhancing the value of Analytics products across AIB through the establishment of a value framework, and developing a Customer Lifetime Value proposition, deepening customer engagements through data and analytics, and driving the Personalisation strategy for AIB.

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