Data-powered Innovation Jam

• 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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• Smells like gene spirit

  Ever thought AI practitioners could win a Noble prize? Well, they already have. Not for predicting your next favourite movie or generating poetry, but for groundbreaking advancements in Life Sciences. And it won’t be the last time. In this episode, hosts Ron Tolido, Robert Engels, and Weiwei Feng find themselves venturing into unexpected territory with Dael Williamson, EMEA CTO at Databricks—and let’s just say, this isn’t your typical podcast episode about data platforms. After a quick dive into Databricks’ open-source roots and some game-changing use cases, Dael takes us into his world. And rightfully so, given his master’s degree in biotechnology, molecular modelling, structural biochemistry/bioinformatics and predictive drug design, he unpacks how AI is already compressing R&D timelines in Life Sciences at an unprecedented pace. The secret? Applying multiple AI components, each with a specific purpose, rather than relying on one generic biological ‘foundry’ model. And that’s just the beginning. When the ‘telemetry’ data between inputs and outputs of R&D clinical trials can be captured and turned into increasingly smart models, big steps can be made forward – including towards the ‘unknown unknowns’ of not only Life Science, but also towards areas such as software engineering. Truly sounds like an AI Nirvana, right? And come to think of that, it’s no longer surprising that some favourite grunge bands are discussed, and the title of the podcast – ‘Smells like gene spirit’ suddenly makes a lot of sense. Timestamps:08:08 - Dael shares the origins of Databricks and its future direction 11:43 - Exploring the intersection of Biotechnology, Data, and Analytics 23:14 - The role of Quantum Computing in the Pharma Industry 29:34 - Process knowledge meets Large Language Models 39:15 - Weiwei debunks a myth Connect with our guest Dael Williamson and our hosts Ron Tolido, Robert Engels, and Weiwei Feng on LinkedIn.

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• Ventures in space

  In for a new venture? This episode of the Data-powered Innovation Jam has you covered. Our hosts Weiwei, Robert, and Ron welcome Brett Clark, Director, Global Business Development at blackshark.ai—a company with the modest mission of creating a digital twin of the entire planet using satellite data. It all started with Microsoft Flight Simulator, but that was only the beginning. Now, as part of Capgemini Ventures’ investment portfolio, blackshark.ai is making waves with its new no-code platform, allowing anyone to identify objects on the Earth’s surface with unprecedented ease and precision—no data science degree required. But wait—why stop at the Earth’s surface? Oceans, forests, or even Lego constructions? Four words: Bring your own Pixels. And that’s just scratching the surface. The conversation dives into synthetic data, minimized models, and the fascinating world of ‘geo-typical’ insights. Of course, it wouldn’t be a jam without music. Ever wondered how surf rock and rockabilly are making a comeback? Or where that unmistakable podcast tune comes from? Tune in and find out! Timestamps:08:12 – Introducing blackshark.ai 19:32 – blackshark.ai’s partnership with Capgemini Ventures 28:35 – Digital Twin, virtual twins, and the role of historic & synthetic data 37:09 – The landscape of (world) AI models & innovation 39:57 – Myth-busting with Weiwei Connect with our guest Brett Clark and our hosts Ron Tolido, Robert Engels, and Weiwei Feng on LinkedIn.

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• RightHere, RightNow

  It’s the ultimate new hit album for generative AI: intelligent automation, autonomous systems, and—of course—agents. But while ServiceNow has been a pioneering force in this space for a long time, it still seems to fly under the radar for many data and AI experts. Time to change that. Time to bridge the worlds of Planet Process and Planet Data! For this, our hosts Weiwei, Robert, and Ron couldn’t have wished for a better guest than Toby Isaacson. As a Senior Advisory Solution Architect at ServiceNow, Toby brings sharp insights into automation platforms, AI guardrails, supervised and unsupervised autonomous systems, data fabrics for central and decentral data and – naturally – agents. Who would have thought that IT ticketing would provide the ticket to ride for enterprise process automation? But that’s not all. Toby is also a stand-up comedian, and his sense of humour shines through in unexpected moments. And despite his British roots, he lays claim to some Viking heritage—fitting for an episode that turns into a true ‘ScandiDutch’ happening. Expect deep dives into world-class DJs from the Netherlands and Scandinavia, all balanced by a tribute to UK legend Fatboy Slim. Eat, Sleep, Automate, Repeat: this podcast episode has an irresistible beat! Timestamps:07:18 – Discover ServiceNow. 16:06 – Unpacking the NOW platform. 22:49 – AI agents, data accessibility, and guardrails. 30:05 – The biggest AI advantage in digital processes. 35:23 – Are industry-specific processes the next frontier? 38:34 – Myth-busting with Weiwei. Connect with our guest Toby Isaacson and our hosts Ron Tolido, Robert Engels, and Weiwei Feng on LinkedIn 

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