エピソード

  • Beyond Data: Emotions in Post-Digital Media & Advertising

    Beyond Data: Emotions in Post-Digital Media & Advertising
    2024/08/05
    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.
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    38 分
  • Lisa Thee · CEO at AMP Solutions LLC // ReMotive (Bedrock) @ LAPIPA_Studios

    Lisa Thee · CEO at AMP Solutions LLC // ReMotive (Bedrock) @ LAPIPA_Studios
    2022/03/11
    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! 🎧
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    50 分
  • Pablo Samuel Castro · Research Software Developer Google // ReMotive (Bedrock) @ LAPIPA_Studios

    Pablo Samuel Castro · Research Software Developer Google // ReMotive (Bedrock) @ LAPIPA_Studios
    2022/02/18
    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!
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    38 分
  • Jan W. Veldsink · AI Architect and AI Coach Rabobank // ReMotive (Bedrock) @LAPIPA

    Jan W. Veldsink · AI Architect and AI Coach Rabobank // ReMotive (Bedrock) @LAPIPA
    2021/12/17
    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 strategies
    • Real-world banking use cases Jan has helped implement
    • The promise—and current limitations—of AutoML tools for non-technical teams
    With 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.
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    42 分
  • Sadie St. Lawrence · Founder & CEO WomenInData.org: ReMotive (Bedrock) @LA PIPA

    Sadie St. Lawrence · Founder & CEO WomenInData.org: ReMotive (Bedrock) @LA PIPA
    2021/12/10
    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.
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    40 分
  • Peetak Mitra · Scientist at PARC & Climate Change AI // ReMotive (Bedrock) @ LAPIPA_Studios

    Peetak Mitra · Scientist at PARC & Climate Change AI // ReMotive (Bedrock) @ LAPIPA_Studios
    2021/11/26
    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.
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    49 分
  • Francesca Gabetti · CEO at TeamEQ // Bedrock @ LAPIPA_Studios

    Francesca Gabetti · CEO at TeamEQ // Bedrock @ LAPIPA_Studios
    2021/11/12
    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.
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    44 分
  • Mihaela Rosca · Research Engineer at DeepMind // ReMotive (Bedrock) @ LAPIPA_Studios

    Mihaela Rosca · Research Engineer at DeepMind // ReMotive (Bedrock) @ LAPIPA_Studios
    2021/10/03
    In this episode, we chat with Mihaela Rosca, a Research Engineer at DeepMind, one of the world’s leading AI research labs known for its groundbreaking advancements in artificial intelligence. DeepMind has been at the forefront of developing AI systems that push the boundaries of human knowledge—from mastering complex games like Go and Starcraft to accelerating scientific discoveries in fields such as protein folding and weather prediction. The company’s research is not just about theoretical breakthroughs; it has a profound real-world impact, from optimizing energy efficiency in Google data centers to advancing AI safety and ethics. Mihaela’s career journey is a testament to the rigorous expertise fostered at DeepMind. She started as a Software Engineer at Google Zurich, specializing in Natural Language Processing (NLP) using neural networks before embarking on a PhD at University College London (UCL) under the mentorship of Professor Marc Deisenroth. Her research interests span generative models, reinforcement learning, NLP, and the broader challenge of making machine learning both scalable and safe. A deep thinker in the field, Mihaela has a particular fascination with probability distributions and their role in learning models. Her academic journey began with a first-class honours MEng in Computing from Imperial College London, where she was recognized for her exceptional performance. Now at DeepMind, she is part of a team pushing the frontiers of AI research, working on fundamental advancements that will shape the future of technology and society. This episode is brought to you by Bedrock, a boutique firm specializing in Data Science and AI. Our podcast, Data Stand-up, is dedicated to spreading scientific knowledge and technical expertise from industry pioneers. Through insightful conversations with experts like Mihaela, we aim to foster knowledge exchange and inspire the next wave of AI researchers and practitioners. 🚀 Tune in for a deep dive into the world of cutting-edge AI research! 🎧
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    46 分