Humanised Intelligence [Eng]

Welcome to "Making Different Happen," hosted by ReMotive. In this series, we delve into the reasons why individuals and businesses strive to create change, what innovative strategies they employ, and how they maintain a competitive edge in rapidly evolving environments. Our guest today is Ian Forrester, founder and CEO of David. Ian's company is renowned for its focus on understanding the emotional impact of creative advertising and content, utilizing advanced AI technology to predict outcomes based on emotional responses. Join us as we explore how David harnesses the power of emotions to drive business impact and create memorable brand experiences.

Our team sits down with Lisa Thee, CEO of AMP Solutions LLC, to explore how data innovation and artificial intelligence can drive positive societal impact. Lisa leads the Data for Good practice at Launch Consulting, working with top healthcare and technology companies to enhance digital safety, combat toxicity, and leverage AI for innovation. As an entrepreneur, she was the CEO and co-founder of Minor Guard, an AI-driven software company focused on protecting children both online and in real life. She recently delivered a TED Talk titled "Bringing Light to Dark Places Online: Disrupting Human Trafficking using AI." Lisa is also the co-author of Demystifying Artificial Intelligence for the Enterprise and the host of the Navigating Forward podcast. She serves on advisory boards for Engineered Medical Solutions, Humaxa, Spectrum Labs, and Marketplace Risk and is a board member of 3 Strands Global Foundation, an organization dedicated to human trafficking prevention and survivor reintegration. Lisa has been recognized among the Top Health and Safety Thought Leaders and Women in Business to Follow by Thinkers 360 and named one of the Top 100 Human Trafficking & Slavery Influence Leaders globally. Don’t miss this insightful conversation on the transformative power of data and AI. Hit play and join the discussion! 🎧

New Episode of the LA PIPA Studios Podcast: AI, Creativity, and Reinforcement Learning with Pablo Samuel Castro At LA PIPA Studios, our team is passionate about exploring the intersection of artificial intelligence, creativity, and technology. In this new episode of Data Stand-Up!, Jesús sits down with Pablo Samuel Castro, Research Software Developer at Google, to discuss his groundbreaking work in reinforcement learning, AI-driven creativity, and machine learning applications in music. About Pablo Samuel Castro Pablo is currently a Research Software Developer at Google Brain in Montreal, where he focuses primarily on reinforcement learning and machine learning applications in music and creativity. His work explores how AI can enhance human expression, pushing the boundaries of what’s possible in generative music, interactive AI models, and automated decision-making systems. Before his current role, Pablo worked in Google Ads and Google Chrome, where he developed and applied large-scale machine learning solutions to tackle complex, real-world problems. His work in these teams contributed to the advancement of AI-driven optimization techniques, improving efficiency, user experience, and automation across Google’s ecosystem. Specialties & Expertise Pablo’s expertise spans across computer programming, artificial intelligence, and machine learning, with a deep focus on:Reinforcement Learning – Training AI models to make sequential decisions in dynamic environments.Machine Learning for Creativity & Music – Exploring how AI can be used to enhance composition, improvisation, and musical experimentation.Markov Decision Processes (MDPs) – Developing models for decision-making in fully and partially observable environments.Linear Programming & Optimization – Applying mathematical techniques to solve complex decision-making problems efficiently.Bridging AI, Creativity, and Real-World Applications Pablo’s work is not just about advancing AI; it’s about bringing machine learning into creative spaces. His research aims to empower artists, musicians, and technologists to harness the potential of AI-driven creativity, unlocking new possibilities in composition, sound design, and live performance. In His Own Words: “AI is more than just automation—it’s a tool for exploration, experimentation, and artistic collaboration. My goal is to push the boundaries of reinforcement learning and machine learning in ways that are both technically rigorous and creatively inspiring.” Join us for an inspiring conversation about the future of AI, music, and machine learning, and how reinforcement learning is shaping the next wave of intelligent systems. 🎧 Listen now and explore the future of AI-powered creativity!

In this episode, we welcome Jan W. Veldsink, AI Architect and Coach at Rabobank, to explore the vital role of fostering an analytical mindset within large organizations. Jan shares practical insights on how he approaches AI coaching at Rabobank, emphasizing the importance of embedding data literacy and analytical thinking across business units. He discusses how successful data-driven transformation requires more than just technology—it demands cultural alignment, education, and strategic leadership. The conversation delves into:How to design and scale effective corporate data strategiesReal-world banking use cases Jan has helped implementThe promise—and current limitations—of AutoML tools for non-technical teamsWith a unique blend of technical depth and human-centric coaching, Jan offers a compelling vision for how organizations can embrace AI while maintaining integrity, security, and trust. 👤 About the Guest Jan W. Veldsink MSc is a forward-thinking AI strategist, speaker, and educator. With extensive experience in artificial intelligence, cybersecurity, systems thinking, and innovation, Jan has advised top financial institutions and leads AI efforts within compliance and fraud detection at Rabobank. He also serves as Core Faculty at Nyenrode Business Universiteit, where he teaches on AI and cybersecurity in executive MBA programs. Jan’s mission: to create resilient, secure, and high-performing organizations by aligning technology, people, and purpose.

Welcome to a groundbreaking episode of the LA PIPA Studios podcast, where we dive deep into the forefront of innovation and empowerment in technology. Our special guest is Sadie St. Lawrence, the esteemed Founder & CEO of Women In Data, a premier community championing the advancement of women in the fields of AI and Tech. With a remarkable membership spanning over 20,000 individuals across 17 countries and 50 cities worldwide, Women in Data stands as a testament to the power of community and the spirit of innovation. Sadie St. Lawrence is not just a leader; she is a trailblazer in data science, having equipped over 350,000 individuals with critical data science skills. She is the creative mind behind the Machine Learning Certification for UC Davis, showcasing her profound expertise in technical innovation, analytics management, and transformative leadership. Her exceptional contributions to the field have not gone unnoticed. Sadie's influence and impact have been recognized in prestigious publications such as USA Today and Dataversity. She has been honored with the Outstanding Service Award, named one of the 10 Most Admired Business Women to Watch in 2021, and ranked as a Top 21 Influencer in Data. Beyond her professional accolades, Sadie embodies courage, vision, and compassion, prioritizing people and outcomes in her approach to leadership. Her commitment extends beyond her role at Women In Data; she is an active board member for multiple startups, the engaging host of the Data Bytes podcast, a sought-after speaker, and an artist. Join us on the LA PIPA Studios podcast as we explore Sadie St. Lawrence’s inspiring journey, her insights on the intersection of technology and humanity, and her unwavering dedication to fostering a more inclusive and innovative future in tech. Prepare to be inspired by a conversation that challenges conventions and celebrates the transformative power of data and diversity.

New Episode on Spreaker: AI, Climate Change, and Innovation with Peetak Mitra In this episode of Data Stand-Up!, we speak with Peetak Mitra, Scientist at PARC and Core Team member at Climate Change AI. Peetak is a Member of Research Staff/Scientist-II at the renowned Palo Alto Research Center (formerly Xerox PARC), located in the heart of Silicon Valley. His work at PARC focuses on developing cutting-edge AI and machine learning algorithms, with impactful applications across various fields, including:Distributed sensor systems (DARPA Ocean-of-Things)Predictive maintenance using IoT (Novity)Climate modeling, policy, and geoengineering (MCB)Beyond his work at PARC, Peetak is dedicated to leveraging his expertise to address the challenges of climate change. He is an active Core Team member at Climate Change AI (CCAI), a global initiative focused on driving impactful projects at the intersection of AI and climate action. About Climate Change AI (CCAI) Founded in 2019, CCAI is a volunteer-driven organization that brings together experts from academia, industry, and policy to explore how machine learning can play a transformative role in tackling climate change. Over the years, CCAI has grown into a global movement, connecting researchers, engineers, entrepreneurs, investors, policymakers, companies, and NGOs to drive innovation and action. Join us as we explore Peetak’s insights on the future of AI-driven climate solutions and how technology can shape a more sustainable world.

In this new podcast in English from Data Stand-Up! Jesus talks to Francesca Gabetti, CEO at Team EQ. Francesca is co-founder & CEO of TeamEQ, the first Human SaaS. A Predictive Team Analytic solution that drives Team Intelligence and real time decision-making . TeamEQ, powered by Machine Learning, increases team's alignment, engagement & performance at all levels of the organization. The use of analytics in HR is growing, with organizations aggressively building people analytics teams, buying analytics offerings, and developing analytics solutions. Companies are hiring people analytics staff, cleaning up their data, and developing models that help transform.TeamEQ makes team management smart, data-driven & more effective, through real time management and continuous feedback, transforming companies into high-performance & intelligent living systems. It accelerate digital, agile & cultural transformation, developing new leadership needs with just few minutes of time investment per week.We hope you like this episode.

In this episode, we sit down with Mihaela Roșca, a Research Engineer at DeepMind, one of the world’s most advanced and influential artificial intelligence research labs. DeepMind is renowned for its bold, high-impact breakthroughs—from mastering complex strategy games like Go and Starcraft, to revolutionizing protein folding with AlphaFold, and optimizing weather prediction and energy efficiency at planetary scale. It’s not just about research for its own sake—DeepMind’s work is actively shaping the future of science, technology, and society. Mihaela’s journey to DeepMind is a testament to the rigorous academic and applied excellence the organization represents. She began her career as a Software Engineer at Google Zurich, working on natural language processing using neural networks. She went on to pursue a PhD at University College London (UCL), under the mentorship of renowned machine learning professor Marc Deisenroth. Her research sits at the intersection of generative models, reinforcement learning, NLP, and the challenge of building scalable and safe machine learning systems—with a special intellectual curiosity for probability distributions and their central role in learning. Mihaela holds a first-class honours MEng in Computing from Imperial College London, where she was recognized for her academic excellence, and today she is part of a world-class team pushing the theoretical and practical limits of artificial intelligence. In this episode, we explore:Her path from Google to academia, and from there to DeepMind.The role of foundational research in unlocking real-world applications of AI.Why probabilistic reasoning remains a critical area of focus in machine learning.What it means to build AI systems that are both powerful and safe.How DeepMind thinks about the societal implications of its work.A conversation that opens the door into one of the world’s most advanced AI research centers—through the lens of a scientist working at its core.Back in 2021, while much of the industry was still catching up with the possibilities of AI, ReMotive and LA PIPA IS LA PIPA—under the leadership of Alex Lawton—were already operating at the highest standard of global thought leadership. This conversation with Mihaela Roșca of DeepMind is further proof: bold, technical, visionary, and years ahead of the curve.

Welcome to a new episode of LA PIPA Studios, where we explore the cutting edge of Data Science & AI through conversations with industry leaders. Our goal is to spread scientific knowledge and technical expertise while diving into real-world applications and insights from our guests. In this episode, we talk to Ganes Kesari, Co-founder and Chief Decision Scientist at Gramener. An entrepreneur, AI thought leader, author, and TEDx speaker, Ganes advises executives of large organizations on data-driven decision-making. His expertise lies in the application of data science to solve business challenges and in building teams that promote a culture of data. “I advise executives of enterprises, NGOs, and governments on organizational transformation using data science. I specialize in building data science teams and helping firms adopt a data culture. Starting my career in technology consulting, I spent a decade helping Fortune 50 clients use technology to enable and transform their businesses. My tryst with data happened about a decade ago when I co-founded Gramener. It has been an enriching journey at Gramener so far. I’ve experimented with the practical aspects of startup building and have been observing how our culture continues to evolve. Advising businesses on the application of data science, I’ve been deepening my skills in data analytics, machine learning, and information design. I’m fascinated by the big-picture view, complementing it with hands-on execution and an eye for detail. I’ve spent a lot of time strategizing and laying out the direction for Gramener—then leading from the front by executing that strategy, building teams, and delivering value to clients. I take exceptional interest in discovering deeper patterns, simplifying things, and presenting information visually. I challenge myself to explain AI and technology without math or jargon. I rejoice whenever I manage to design visual stories that distill complex insights onto a single sheet of paper.” Thank you for sharing your expertise, Ganes! Your perspective on building data science teams and fostering a data-driven culture provides invaluable guidance for organizations looking to harness the power of AI and analytics.4o

New Episode of the LA PIPA & ReMotive Podcast: Data, AI, and Climate Action with Vince Petaccio At LA PIPA Studios & ReMotive, our team is dedicated to exploring the cutting edge of Data Science & AI, sharing scientific knowledge and technical expertise through insightful conversations with industry leaders. In this episode of our Data Stand-Up! podcast, Jesús talks to Vince Petaccio, a Data Scientist at Amazon Web Services (AWS), where he develops machine learning tools to identify and mitigate fraud activity. Previously, he worked at Untapt, where he created deep-learning natural language tools designed to match job candidates with fulfilling careers while reducing systemic bias. Before that, Vince focused on real-time neural data analysis in brain and spine surgery across New York City and Philadelphia. He holds degrees in Biomedical Engineering (Neural Engineering) from Drexel University and Computer Science from Georgia Tech. AI & Data Science for Climate Action Beyond his career in AI and data science, Vince is a passionate advocate for climate action. Since 2016, he has been actively involved with Citizens' Climate Lobby, working to advance politically neutral climate policies and build momentum for climate action. He also applies his data science expertise to projects that seek innovative solutions to the climate crisis. In His Own Words: "I am passionate about leveraging emerging technologies for the benefit of others. I believe that human ingenuity, with a bit of imagination and a lot of cooperation, can yield practical solutions to challenging problems. My time outside of work is spent passionately pursuing nonpartisan solutions to the global challenge of climate change, feeding my insatiable curiosity, and deepening my knowledge." Thanks for sharing your knowledge, Vince! Join us as we explore the role of AI, data science, and innovation in tackling climate challenges.

Bedrock is an international Data Science & AI services practice specialising in data-driven business change.We design and manage tailor-made programs from ideation to execution and ongoing support. Data Stand-up! is a podcast Produced by our team at our global HQ at LA PIPA Studios that strives to share the knowledge acquired through our extensive experience. Guests to this show join this knowledge transfer by sharing their own experience and knowledge.Before founding MetaMeta, Scott was the Master Data Market Development and Innovation Lead at Dun & Bradstreet, where he reimagined, redefined and repositioned the company’s master data offering and took the service to a whole new level. He has also worked with some of the world’s most popular data brands including Nielsen, Microsoft, Kantar, NPD and also some start-ups such as Qoints and Spiceworks. When he is not directly working with businesses to sort out their master data journey, he is busy spreading the word through conferences, speaking events, webinars, podcasts, blogs, and his own YouTube channel. Here comes the storytelling aspect as you will also need to convince your business leaders and stakeholders on investing in data management. Thanks Scott!

Bedrock is an international Data Science & AI services practice specialising in data-driven business change.We design and manage tailor-made programs from ideation to execution and ongoing support. Data Stand-up! is a podcast Produced by our team at our global HQ at LA PIPA Studios that strives to share the knowledge acquired through our extensive experience. Guests to this show join this knowledge transfer by sharing their own experiences, learnings, and achievements with unbelievable generosity.In this show, Jesús speaks with Alina Timofeeva about her career in consulting, technology and data. Alina specialises in Cloud & Data and has a successful track record across digital, operational and regulatory projects within significant clients, including JP Morgan, Credit Suisse, HSBC, RBS, Aviva and Nationwide.A graduate of top universities in the UK and Russia, Alina won the Moscow Mathematics Olympiad, which facilitated full sponsorship for her BSc and MSc in Mathematics.TechWomen100 and Rising Start have recognised her, and she is on the Makers' Top 50 Software Powerlist and ComputerWeekly's Most Influential Women in UK Technology. She also performs a notable role in inspiring others and giving visibility to women's work in technology.

In this episode, the discussion features a Senior Software Engineering Manager at Microsoft Azure Global team, focusing on enabling customers to deploy demanding Data workloads on Azure. With over thirteen years of experience as a Data Engineer/Architect and Speaker, her work spans several Big Data, Cloud Computing, and AI Technologies. She is a renowned figure in biomedical engineering research, with her software being utilized in EKG machines worldwide.Her advocacy for diversity and inclusion shines through her role as President of the non-profit organization Pakistani Women in Computing, aiming to build a robust global network of Pakistani women in technology and allies. This initiative promotes community growth through connections and learning opportunities. She has led various programs for AnitaB.org and currently heads the AnitaB.org Seattle community, showcasing her leadership in organizations like Women Who Code and Women at Microsoft.

Today we chat with Brian, an inspiring professional who understands the importance of Design when it comes to ideating, creating, and implementing data-fueled solutions and applications.Brian T. O’Neill is the founder of Designing for Analytics and a true believer in the importance of designing human-tailored data solutions. For over 20 years, he has been successful in creating innovative Advanced Analytical and AI business solutions for global leaders such as DellEMC Tripadvisor, and JP Morgan Chase amongst many others.Brian and Jesús explore how extraordinary value can be created when the outputs of data science and analytics are turned into engaging, valuable decision-support applications and user experiences centered around the stakeholders, as humans, in the loop. The importance of generating adoption when building a data application or business solution is also discussed throughout the call.Brian also hosts his podcast: Experiencing Data, where he reveals the strategies and activities that Product, Data Science, and Analytics leaders are using to deliver human-centered data products.Brian also authored the DFA Self-Assessment Guide, teaches a seminar called Designing Human-Centered Data Science Solutions, and publishes a weekly Insights mailing list. In 2020, Brian began advising students in MIT’s Sandbox Innovation Fund and was published in O’Reilly Media’s 97 Things About Ethics in Data Science Everyone Should Know.Brian is a classical and jazz musician by training, a professional drummer and percussionist in Boston. Listen to this episode to discover if Brian´s creative musical background has something to do with his "Design mindset" for Advanced Analytics and AI solutions.

In this landmark episode, we sit down with Kirk D. Borne, one of the most respected and influential voices in the global data science and artificial intelligence community.With a Ph.D. in Astrophysics from Caltech, Kirk was a key figure in the development and launch of the Hubble Space Telescope, serving on its core scientific team. During his decade at NASA, he led pioneering work in large-scale data analysis—well before “big data” became a debate in any commercial industry, nevermind Media and Marketing.He later transitioned from space science to the business world, taking on the role of Chief Data Scientist at Booz Allen Hamilton, where he advised Fortune 500 companies, government institutions, and academic organizations on how to unlock real value through data and advanced analytics. Recognized year after year among the world’s top data influencers, Kirk has helped shape the global conversation on algorithmic ethics, data culture, and AI strategy.In this episode, we explore:His shift from astrophysics and government research to enterprise AI.The untapped potential of data in transforming business outcomes.How organizations can build truly data-driven cultures.The future of artificial intelligence—and why it must be guided by purpose, transparency, and ethics.This is more than a conversation; it’s a deep, future-facing dialogue with someone who helped define the field. Back in 2021, while most companies were just beginning to grasp the strategic power of data, ReMotive and LA PIPA IS LA PIPA—under the leadership of Alex Lawton—were already engaging in conversations with the world’s foremost experts in data science, artificial intelligence, and digital transformation.In this historic episode, we speak with none other than Kirk Borne, one of the most important global voices in the data space.

New Episode of the LA PIPA Studios Podcast: AI, Data Strategy & Leadership with Claire Thompson In this episode, Claire Thompson, a recognized leader in data & analytics, business intelligence, and data science, joins Jesús for an in-depth conversation on building a data-driven culture and advising C-level executives on maximizing AI’s business value. Claire Thompson: A Pioneer in Data & AI Claire is more than an expert—she’s a pioneer who has driven the evolution of data science, machine learning, and predictive analytics far beyond her official roles. Her contributions to the industry have earned her prestigious recognition, including:✔️ Named one of the 100 most influential people in data and analytics in the UK by DataIQ (2019).✔️ Selected for "Twenty in Data & Technology", celebrating her as an inspiring role model in the industry.A Proven Track Record in Data Innovation With extensive cross-industry experience, Claire has built and led diverse, high-performing data teams, especially in highly regulated environments like financial services. In this episode, she shares real-world use cases of: ✅ Data innovation strategies that drive measurable business impact.✅ Machine learning applications that improve decision-making.✅ Predictive analytics models that unlock competitive advantages.Translating AI Complexity into Business Value One of Claire’s standout strengths is her ability to simplify complex technical concepts for non-technical audiences. Her approach empowers business leaders to make informed, data-driven decisions and avoid common pitfalls when adopting AI.She shares insights on: 📌 Creating a “data mindset” within an organization.📌 Influencing executives and investors to embrace AI-driven strategies.📌 Delivering business value rapidly through data science initiatives.Why Listen? If you're a business leader, investor, or data professional looking to understand how AI and data science can drive business transformation, this episode is essential. 🚀 Tune in now and gain valuable insights from one of the most influential minds in data & AI!

This episode we have with us Aash Viswanathan · Data Scientist · LinkedIn - Atlassian - Product Data Scientist working on SaaS/enterprise funnel optimization problems in the areas of user activation, content curation/distribution, and third-party integrations. The ways AI can be used to augment decision-making keep expanding. New applications will create fundamental and sometimes difficult changes in workflows, roles, and culture, which leaders will need to shepherd their organizations through carefully. Aash explains in detail a complex workflow in which he works every day and helps us understand his effort and commitment to achieve a goal on a personal level from an organization that has developed a platform of great value to society that uses the data deeply.

Artur Ortega is one of those professionals who inspires motivation and truly leads by example. He is currently the Head of Babylon Health´s platform architecture. For those who don't know: Babylon Health is a health service provider that provides remote consultations with doctors and health care professionals via text and video messaging through its mobile application. Their subscription based business model for private healthcare services launched in the UK in 2013 and they have now expanded internationally to countries such as Canada, Saudi Arabia and the US. Their mission and value proposition is to put an affordable and accessible health service in the hands of every person on earth.In this 4th episode of the 1st season we discuss with Artur the evolution of data analytics, from the traditional early data warehouses project where he took part in, to the machine learning models and advanced analytics projects that he worked on later on. Many powerful use cases from his past in Yahoo, in The Telegraph and in The Economist are discussed. Moreover, he briefly mentions how Babylon strives to embed AI as the main enabling technology in their digital health platform. Artur truly is a remarkable individual and we could not be more happy to bring you this new episode with him in it. Honestly, we feel that 1 hour was not nearly enough, that we needed more time with him and that we will have to get him on board again for a 2nd recording.

Today’s episode takes us to the heart of America’s most storied football franchise — the Green Bay Packers, a team not just defined by its on-field legacy, but by its unique ownership model and data-driven innovation. Founded in 1919, the Packers are the third-oldest franchise in the NFL and stand alone as the only publicly owned, non-profit major league team in the United States — a testament to deep community ties and long-term vision. But heritage alone doesn’t drive future growth. Behind the scenes, the Packers have been quietly building one of the most progressive Business Intelligence functions in professional sports, and at the center of that transformation is Garrison Cummings. Garrison is not your traditional BI leader. With more than 14 years of experience spanning e-commerce, catalog marketing, and sports business, he brings a hybrid vision to data — one that fuses web and mobile analytics, SEO/SEM, and digital merchandising with a crystal-clear focus on fan experience and revenue strategy. In this episode, Garrison walks us through the evolution of data analytics at the Packers — from early BI frameworks to the emergence of integrated data science models across marketing, operations, and fan engagement. We discuss:How the Packers are rethinking the customer journey through dataBuilding cross-functional analytics that align with both performance and community valuesReal-world projects that demonstrate the shift from reporting to forecasting and optimizationThe long-term analytical mission and vision set by the Packers’ front officeGarrison shares candid insights into the transformation process, leadership challenges, and what it really takes to embed a data-driven culture inside a historic organization — one where legacy and innovation must coexist. Whether you’re a data leader in sports, e-commerce, or brand marketing, this episode will leave you inspired and informed.

🎙️ This Weekend on Data Stand-Up! Now in English We’re thrilled to welcome Bill Schmarzo, widely recognized as the "Dean of Big Data", to the Data Stand-Up! podcast. A true pioneer in Big Data, Data Science, and Data Monetization, Schmarzo has played a pivotal role in shaping the modern data landscape through executive leadership roles at Hitachi Vantara and EMC and by authoring four influential books on maximizing the value of data in business. Beyond his leadership, Bill Schmarzo is a passionate educator, dedicated to helping businesses strategically integrate data into their operations. His Value Engineering methodology, centered on customer collaboration and real-world business impact, has been instrumental in transforming how organizations approach data-driven decision-making. In this episode, we’ll explore:📊 How to leverage Advanced Analytics and Data Science for business transformation💡 Practical strategies for data monetization🚀 Real-world applications from Schmarzo’s extensive industry experience Whether you're a data professional, business leader, or just curious about how data can drive strategic advantage, this episode is packed with actionable insights you won’t want to miss. 🎧 Tune in and get inspired by one of the foremost minds in data science!

Season 1 Opener: Women in Data UK and the Future of AI & Analytics The LA PIPA Studios Podcast kicks off Season 1 with a powerful episode featuring two influential leaders in the data and analytics field who are driving change through the Women in Data UK movement. At the time of this recording, they were already shaping a more inclusive and supportive community for women and gender-diverse professionals in data science and analytics. Their platform continues to be a hub for technical knowledge-sharing, industry advocacy, and fostering diversity in AI and data-driven fields. Meet the GuestsRoisin McCarthy, co-founder of Women in Data, is also at the helm of Datatech Analytics in Basingstoke. As a key player in the industry, she has been instrumental in connecting top-tier talent with data science and analytics roles, ensuring a strong pipeline of diverse professionals.Karen Jean-Francois is an Analytics Manager at Cardlytics, a NASDAQ-listed company that has pioneered a Purchase Intelligence and Advertising Platform. This innovative technology enables marketers to identify opportunities and engage audiences with highly relevant and data-driven advertisements. She also produces and hosts the Women in Data podcast, giving voice to industry experts and emerging talent.A Deep Dive into Women in Data (WiD) This episode explores how Women in Data UK has made a profound impact in the industry by: ✔️ Empowering a new generation of data professionals through mentorship and community-building.✔️ Breaking barriers and advocating for broader inclusivity in AI and data science.✔️ Providing a platform for knowledge-sharing, career growth, and collaboration.✔️ Highlighting the evolving landscape of data science and AI over the past two decades. Why Listen? If you’re looking to understand how WiD is shaping the future of data, gain insights from two industry leaders, and hear about real experiences from inside the field, this episode is for you. 🚀 Hit play and join us in this engaging discussion about the evolution of data science, AI, and the movement

🎙️ Intro Episode — Welcome to Humanised IntelligenceBy ReMotive Media | Making Different Happen In this opening episode, we introduce the vision, philosophy, and ambition behind Humanised Intelligence—the English-language companion to our ongoing series exploring the future of data, strategy, and creativity. At ReMotive, we believe the next frontier isn't just artificial intelligence—it's intelligent humanisation. It's about using data not to replace human thinking, but to enhance it, make it more insightful, more empathetic, and more actionable. This podcast is our space to explore that frontier.Rooted in the philosophy of Making Different Happen, this series is hosted by the team at ReMotive Media, the world’s first post-digital agency, built on data science, analytics, media innovation, and a radically strategic mindset.Since 2020, under the leadership of Alex Lawton, we've been engaging with the world’s top thinkers and doers at the intersection of Data Science, Data Engineering, Analytics, AI, Media, and Marketing—well before the mainstream caught on. In each episode, we speak with practitioners, pioneers, and provocateurs from across the data and technology landscape. Together, we’ll dive into:Building data cultures that scale with purposeThe new ethics of algorithmic decision-makingWhat it really takes to combine human intuition with machine intelligenceAnd how to rewire industries through ideas that challenge orthodoxyThis is not a podcast about trends. This is about transformation—with clarity, creativity, and conviction. If you’re in search of bold thinking, practical insight, and the stories behind true innovation, you’re in the right place. Welcome to Humanised Intelligence.Let’s Make Different Happen.