AI Ireland with Mark Kelly

Today's guest is Brendan Byrne, Technical Manager | Machine Intelligence at TOMRA Food. In this episode, Brendan will look back on his journey into the world of AI, his current role at Tomra Food and the innovative ways AI is transforming the food industry.   Topics include: His journey in technology, transitioning from academia to industry How Tomra innovates across industries to reduce global waste How their optical sorters ensure safety, efficiency and sustainability High-speed data processing with precise model tuning challenges Using AI to predict component failures and reduce downtime Exploring generative AI to optimise usability and efficiency

Today's guest is  Martin Garvey, Director of Enterprise Sales at Gong. In the ever-evolving landscape of sales, staying ahead of the curve is essential. In this podcast, Martin delves into the transformative power of artificial Intelligence in sales, highlighting how Gong is at the forefront of this revolution. Topics include: His career journey career to a focused SaaS role at Gong How the Gong platform boosts sales with AI and data insights Tracking detailed metrics to replicate top performers' success Driving customer success by improving deal speed and win rates Boosting efficiency by providing insights for effective training How Gong targets buying committees by suggesting key contacts Providing real-time deal insights and risk assessment (demo) How AI improves sales with faster onboarding, personalization and predictions Get in Touch

Today's guest is Pedro Ecija Serrano, a seasoned expert in Actuarial Science, Data Science and AI Ethics. In the ever-evolving world of data science and AI, the intersection with traditional fields like actuarial science offers fascinating insights. In this episode, Pedro discusses the dynamic relationship between these fields and the innovative ways in how it's shaping the financial services industry. Topics include: His career journey from statistics to finding his passion as an actuary Why insurance pricing is constrained by regulations and societal fairness How AI is quietly innovating insurance with governance and ethics focus Why Insurance demands cautious AI adoption to safeguard society His focus from modelling, ethical AI and strategy Advice to define strategy, reverse-engineer success and implement targeted AI actions How not all solutions need AI but listening to customers suffices Becoming a judge for the 2024 AI Awards Building trust in actuaries who are passionate about new technologies

Today's guest is Steve Fleming, Founder and CEO at Voxxify. Over the years, Steve has witnessed firsthand the challenges organisations face in understanding and meeting the needs of their users. In our conversation, Steve shares his journey, the inspiration behind Voxxify and his insights into how AI and data science can transform IT decision-making. Topics include: His IT career to date focusing on improving user feedback with AI Advocating for data-driven IT alignment to prevent costly misalignments Developing an AI-driven system to translate data into actionable insights How effective AI use requires clear goals, data structure and techniques How AI models evolved; balancing between open-source and self-hosted solutions Focus on customer needs switching to self-hosted model when needed LLMs highlight AI benefits but choose tools based on needs

Today's guest is Kate Minogue, Consultant, Business Advisor and Chief Product Officer at Frekkel. A seasoned analytics leader and Data Science/AI expert, Kate is passionate about customer-centric product development and the potential to use advances in data and technology for positive impact. In her work in Meta, Kate was at the forefront of industry shifts on privacy-first marketing and consumer technology business models. She combines a unique perspective on strategy, data and the importance of people in both to understand industry problems and opportunities and drive meaningful transformation and results.Topics include:The need for a goal-focused, foundational approach to avoid misuse of AIHow diverse problem-solving in AI centres on customer understandingThe need for strategy before AI due to unused dataGenerative AI will become useful, trustworthy & combat misinformationLeadership must ensure safe, smooth AI adoption processesWhy she’s excited to be a judge for the 2024 AI AwardsIf you’re interested in learning more or working with Kate, check out her website: www.kate-minogue.com and discover more details about Kate's AI course for business leaders at https://theaileadershiplab.thinkific.com/products/courses/aileader

Today's guest is Stephen Redmond, Head of Data Analytics and AI at BearingPoint Ireland. In the episode, Stephen reflects on his extensive career in the field of data and AI, as well as offering valuable insights into the evolution of AI and its applications in business.  Topics include: His career to date from CRM founder to AI & data leader How CRISP-DM emphasises business understanding before data analysis How ChatGPT popularized AI as businesses leverage diverse AI models Businesses adopt AI tools but face training and change challenges AI copilots enhancing data access and reporting efficiency The importance of storytelling with data Successful AI deployment needs change management, training and communication Expecting rapid AI advancements and new multimodal features How ChatGPT's success sparked rapid AI development and accessibility Why he loves being a judge at the AI Awards

Today's guest is Brian McElligott, Partner and Head of AI at Mason Hayes & Curran LLP. In this discussion, Mark and Brian talk about the EU AI Act and its implications for businesses and the market.  Topics include: How the AI Act prioritizes product safety by categorising risk regulation How regulatory sandboxes offer potential but are resource-intensive Why law requires AI literacy for staff, varying by use case. Imposing obligations on both AI creators and users, especially for high-risk products How AI law is rapidly evolving with shifting regulations Key dates and deadlines for the EU AI Act's regulations How some US clients view EU compliance as a market advantage Change control is key as firms adapt standards for compliance

Gabriele Mazzini, Team Leader for the EU AI Act at the European Commission, discusses his pivotal role in shaping this groundbreaking legislation. He shares insights on categorizing AI systems into risk-based classifications while ensuring market regulation. The importance of human oversight for accountability is emphasized, alongside the challenges companies face in compliance. Mazzini addresses balancing innovation with ethical governance and outlines the implementation timeline for the Act, which aims to foster a trustworthy AI landscape in Europe.

Today's guest is Dara Calleary, Minister of State for Trade Promotion and Digital Transformation at the Department of Enterprise, Trade and Employment. In this episode, Mark and Dara discuss Ireland's approach to AI regulation, innovation and fostering AI startups. Topics include: Rapid AI advancements, regulation, innovation and business readiness Launching an AI Accelerator to emphasise AI's universal impact, funding and skills National Digital Strategy's focus on high-level, labor and societal skills How the National AI & skills strategy emphasises trust, collaboration and supporting startups Why Data protection & public trust is essential for AI innovation How AI integration in public services ensures inclusivity and data protection The Digital vision from inclusivity, AI innovation, job enhancement and preparation for disruption

Today's guest is Ciarán Gilligan-Lee, Head of Causal Inference Research Lab at Spotify. A finalist for AI Person of the year at the 2023 AI Awards, Ciarán joins host Mark Kelly on the podcast to discuss the significant role that AI and causal inference plays in enhancing user experiences at Spotify. Topics include: How the Spotify team uses causal inference for better recommendations Using causal inference for personalized music recommendations and discovery Navigating causal factors in user streaming behaviors Balancing complex stakeholder needs at Spotify for improved user experience Clarifying assumption to enhance modeling clarity and accuracy How Causal inference enhances decision-making across various industries Why Understanding data bias is crucial for accurate decision-making