Data-powered Innovation Jam

• The Hour of (data) Power

  Ready for your Hour of (Data) Power with some Radioactive and Electric Feel thrown in? Ok, so hang tight, get your coffee or lemonade (depending on how your summer looks like!), as we bring you a double whammy from your newest Data-powered Innovation Jam to celebrate the anniversary launch of the 10th edition of the Data Powered Innovation Review. This jam packs in the "power" of music, as always. But this time drawing connections to what “power” really means - from John Lennon's "Power to the People" to Robert Palmer banding up with Duran Duran’s John Taylor (bass) and Andy Taylor (guitar) for Power Station and heavy metal crews like Power Trip. This eclectic musical journey serves as a metaphor for the unexpected and powerful combinations that arise when diverse elements mix, a theme that underpins the episode's core discussions. Your hosts Ron Tolido and Robert Engels drum to the beats of two special pieces from the latest Data Powered Innovation Review 10: "The Serendipity Engine" and "Nature Engineered" with Neerav Vyas, VP Customer First, Insights and Data, Capgemini discovering rock music in a video store by accident and Franziska Wolf, Head of Quantum Chemistry for Capgemini Engineering playing the trombone in a band. While Neerav explains the "post-personalization world" where the goal is to achieve serendipity at scale – moving beyond mere recommendations based on known desires to surprising customers with things they didn't even know they wanted, Franziska talks of metallo-enzymes and how AI and quantum computing combined can help us understand nature better and create full stack simulation environment for biology. The episode sets the stage for a deep dive into how AI and data are enabling unexpected discoveries and innovations, much like the serendipitous musical journeys shared by the hosts and guests. So do tune in and enjoy!Timestamps:00:00 - 02:29 – Ron takes a "Power" trip flexing the 10th edition of the Data-powered Innovation Review02:29 - 06:25 – Ron and Dr. Bob explores their individual take on "Power" Through Music06:25 - 07:44 – Introduction to the Data-powered Innovation Review and two of its authors from Edition 1010:41 - 25:37 – Neerav takes us back to a serendipitous musical journey in 1995 and subsequent revelations25:58 - 41:58 - Franziska Wolf dives into "Nature Engineered" with Quantum and AI42:58 - Weiwei busts her last myth before the summer break.Connect with our guests Neerav Vyas and Franziska Wolff and our hosts Ron Tolido, Robert Engels, and Weiwei Feng on LinkedIn. 

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• Every doc you take

  From punk rock to process automation, from Blondie to BSON — it’s a genre-defying episode of the Data-Powered Innovation Jam where we grab a virtual bench in Central Park with Andrew Davidson, SVP of Products at MongoDB, and let the data conversation run wild. What follows is an improvisational jam session on the evolution of data, the art of distributed architectures, and why NoSQL was the punk rebellion against the symphonic pomp of relational databases. But wait, that was then. Now, MongoDB is no longer the scrappy garage band. With MongoDB Atlas, best-in-class vector search, and AI-native memory architectures, it’s headlining the main stage of general-purpose data platforms in the GenAI era. Your hosts Ron Tolido, Weiwei Feng, and Robert Engels riff on:Why document models might just be the new lingua franca of AIHow vector search is redefining “relationship status”What vibe coding really means (yes, that’s a thing now)And how social science might hold the key to truly intelligent systems Oh, and there’s Sting, and Talking Heads, and a band called Kobus Gaat Naar Appelscha. Because this is still a jam. In a world of LLMs and memory-centric platforms, “every doc you take” is part of something bigger. Tune in. This one’s electric. Timestamps:07:55 – Introduction to MongoDB and guest Andrew Davidson14:01 – Exploring social sciences, graph databases, and database storage choices21:39 – Strategies for identifying optimal relationships within documents29:23 – With natural language interfaces, is SQL still necessary?34:31 – The concept of “vibe coding” and understanding programming fundamentals38:01 – Weiwei debunks myths about diversity, inclusion, and data Connect with our guest Andrew Davidson and our hosts Ron Tolido, Robert Engels, and Weiwei Feng on LinkedIn.

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• The six pistols of technology trends

  Ready for the remix? You might have already listened to one of the most recent episodes of the Cloud Realities podcast, where six dynamic voices from two podcast teams came together to unpack Capgemini’s TechnoVision 2025. From infrastructure and applications to collaboration, user experience, automation, and — naturally — a heavy dose of data and AI, it was an episode packed to the brim. Think you’ve heard it all? Think again. But why stop at one listen? This time, we’re bringing it back with a data-powered twist — sharper, deeper, and just as bold. Discover what “Silent Letter Day” really means, vibe with “vibe coding,” explore alternate cloud realities, rethink RPA vs. Agents, and maybe even stumble into a Dutch punk band or two along the way. Join Esmee van de Giessen, Dave Chapman, Rob Kernahan, Weiwei Feng, Robert Engels, and Ron Tolido spin the turntables of technology. Tune in. Remix on. Timestamps:11:23 – Rob kicked things off with the ‘Invisible Infostructure’ container18:59 – Ron reflected on his early work and shared insights on the ‘Applications Unleashed’ container33:01 – Dr. Bob kept the energy high with ‘Thriving on Data’42:45 – Weiwei delivered a dynamic overview of ‘Process on the Fly’55:33 – Dave offered a thoughtful introduction to the ‘We Collaborate’ container01:05:25 – Esmee wrapped up with the final container: ‘You Experience’

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• Models on the dance floor

  What happens when Professor Erik Proper of the Technical University of Vienna teams up with the ever-inquisitive ‘Dr. Bob’ Robert Engels – modestly supported by co-hosts Weiwei Feng and Ron Tolido - to discuss AI, models, semantics, ontologies, and context? A true PhD Fest? Or a practical exploration of the synergies between the academic and business words? Well, how about a bit of both. Our latest episode ‘Models on the Dancefloor’ dives deep into core topics around models and their renewed urgency and importance in a world that rapidly seems to hand over control to breakthrough, yet often poorly understood AI technologies. Models provide context and a common language between AI and humans, maybe not in a perfect or unambiguous way, but certainly paving the way for more reliable and trustworthy outcomes. It’s about collaborating engineering, enabled by a variety of ‘thinklets’ that urge to think about what type of intelligence is need at what step of decision-making.  Other key issues are addressed as well, as you would expect from this podcast, such as could ChatGPT have come up with Einstein’s relativity theory, will LLMs invent time travel and how did Robert make money while pogoing on punk rock, back in the days? Talking about a dancefloor filler: you don’t want to miss this one. Hit play. You’ll never look at AI models – or dancefloors – the same way again. Timestamps:06:29 – Erik delves into the major conversations shaping academia today11:05 – How AI is transforming the craft of architecture, modeling—and nearly everything else15:25 – Why semantics matter: modeling, meaning, and the roots of bias21:07 – Unpacking the dynamic between academia and industry28:25 – The crucial role of high-complexity work in an AI-driven landscape34:57 – Myth busted! Weiwei challenges a widely held belief in the data world Connect with our guest Henderik Proper and our hosts Ron Tolido, Robert Engels, and Weiwei Feng on LinkedIn.

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• You can’t touch this (Data)

  Much like a hammer sees every problem as a nail, data experts tend to see opportunity in every single data field. Collaboration on data is still one of the best ways to bring data to life and build business value on top of it. Sharing data across organizations is one of the most powerful ways to spark innovation. But when data needs to stay private, sovereign, and secure—from competitors, unauthorized users, or cyber threats—the challenge multiplies. Enter Roseman Labs: a deep-tech startup turning heads with its encrypted data collaboration platform. Built for speed, usability, and zero trust, and endorsed by the Dutch National Cyber Security Centre, they bring quite some credentials to the data & AI table, backed up by no less than 8 cryptography PhDs in their team, all focused on making secure data collaboration not just possible, but practical. In this episode of Data-powered Innovation Jam, hosts Weiwei, Robert, and Ron are joined by Ian Wachter, Senior Commercial Advisor at Roseman Labs and an advisory board member of several other startups, to unpack how secure collaboration is reshaping the data landscape. From platform design to real-world use cases, they explore what’s next for organizations that need to collaborate—without compromise. And because no innovation jam is complete without a big-picture take, the exec perspective is on the table too. All of this, and more, in our brand-new podcast episode named “You Can’t Touch This (Data)”. Tune in, if only to find out why MC Hammer is an Internet mogul and an early adapter of social media.  Stop, Hammer Time: you don’t want to miss this one! Timestamps:05:23 – Ian shares the origin story of Roseman Labs and how it’s redefining secure data collaboration13:35 – The hurdles deep learning still faces—especially when data privacy enters the picture16:43 – Gaia-X data spaces vs. Roseman Labs: where they align, and where they diverge20:23 – Why data collaboration isn’t just a tool—it’s a mindset shift30:31 – Myth busted! Weiwei takes down a common misconception in the data world Connect with our guest Ian Wachters and our hosts Ron Tolido, Robert Engels, and Weiwei Feng on LinkedIn.

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