AI Ireland with Mark Kelly

Today’s guest is Gerard Quinn, VP of Innovation & Informatics at ICON plc. Since their foundation in Dublin in 1990, ICON's mission has been to help their clients to accelerate the development of drugs and devices that save lives and improve quality of life. They do this by delivering best in class information, solutions and performance, with an unyielding focus on quality at all times. ICON are nominated in the Best Application of AI in a Large Enterprise category at the 2023 AI Awards for their Cassandra platform. Cassandra employs powerful machine learning models to predict FDA and EMA post-marketing requirements (PMRs) with 99% and 97% accuracy, helping pharmaceutical companies plan clinical trials effectively and reduce risks. Topics include: An overview of ICON's work serving pharmaceutical and biotech firms How the Cassandra product uses AI to AI forecast post-trial needs, assisting planning and drug access Predicting post-trial needs, aiding proactive planning, avoiding delays and costs AI built with data sourcing for trial design and business use AI's limitless potential in clinical research for automation and problem-solving

Today’s guest is Ana Le Chevillier, Clinical Research Manager - Data and AI at AI PREMie. Ana has a keen interest in the clinical applications of her work and recognises the crucial role of high-quality data in scientific endeavors. Her primary responsibility at AI PREMie is the creation, validation and management of databases, as well as the development of ML models to support clinical decision-making in the context of preeclampsia. Ana is nominated for the 2023 AI Awards in the category for Young AI Role Model of the year for playing a pivotal role in AI_PREMie, which aims to transform pre-eclampsia diagnosis and risk assessment. Ana's skills encompass data science and ethical AI, and she envisions leveraging AI for early disease detection and management in healthcare. Topics include: Her journey from a Physiologist to Clinical Research Manager at AI PREMie Ethical data collection with Dublin hospitals, emphasising security. How awards signify being on the right path for impactful change Their focus on Sustainable Development Goals, health equity and diverse data

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. Topics include: Proposing a game engine solution to address the data gap in indoor robotics How humanoid robots are poised to revolutionise daily life Creating a customizable robot simulator based on prior game engine experience Demonstrating potential real-world model training

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. Topics include: Problems they are solving in unstructured legacy data for customers Choosing large models AI for core problems, smaller models for trust and ethics Utilizing a mesh of AI models to tackle generic issues efficiently Using language-agnostic document vectors for consistent data processing Applying AI models to enhance data analysis with a committee approach

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: Her journey and the development of her expertise at the nexus of technology, society, and democracy. Key takeaways from her latest book, "Human-Centered Data Science," shedding light on its implications for individuals and society. As the Executive Director of the Minderoo Centre for Technology & Democracy, she outlines the centre's primary objectives and ongoing endeavours. Her advisory role for international organisations such as UNESCO and the OECD, focusing on the significant challenges they confront in the digital era, particularly in relation to technology and democracy. Insights into how the digital information landscape is reshaping the nature of work and daily life for workers and workplaces.

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. Topics include: Translating complex ideas for diverse professional audiences Navigating the attention economy for knowledge professionals Saving time by summarizing complex information Focusing on NLP for processing for extractive summarization Addressing hallucination issues in AI-generated responses Delivering innovation messages through AI and professional writing Exploring AI integration for enhanced value and context Managing expectations in the AI productivity revolution AI's role in formulaic text, SEO and experimentation

In today's episode, we're continuing with the second part our AI Awards 2023 overview podcast as host Mark Kelly sheds light on more of the the extraordinary applications featured in this year's AI Awards. With over 500 submissions since the initiative's inception in 2018, 2023 promises to be a standout year, with groundbreaking AI applications poised to make a profound impact on healthcare, society, and business.

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. The NSAI recently published the AI Standards and Assurance Roadmap which is a key deliverable of Ireland’s National AI Strategy to develop and utilise Artificial Intelligence for the benefit of Irish society and our economy. The roadmap is firmly rooted in supporting Ireland’s implementation of the EU AI Act, which is fundamental to the future of AI within Ireland, across the EU and indeed globally. The roadmap was developed as a result of the Top Team on Standards in AI engagement process. Download the report here. Topics include: How NSAI promotes global compatibility through ISO and European standards Creating standards cooperation for efficiency and consistency Balancing AI's potential with caution and governance concern Challenges in AI regulation and EU AI Act EU AI Act's evolving regulation for changing technology Ireland's influential role in global AI standards development

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. Topics include: His background and how he got into the world of Data Differences working within Data in South Africa to Ireland An overview of his role with SAS The importance of certificates and upskilling Case studies of the problems they're solving for customers Improving the customer experience Use cases of AI for Good such as wildlife tracking