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 data
• Building cross-functional analytics that align with both performance and community values
• Real-world projects that demonstrate the shift from reporting to forecasting and optimization
• The long-term analytical mission and vision set by the Packers’ front office

Garrison 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 Guests

• Roisin 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