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 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.

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.



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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!