Op het Marketing Information Event van 18 en 19 maart a.s., georganiseerd door het Data & Insights Network, is een van de sprekers Luis Agudelo (foto onder), Principal Data Architect bij DataPebbles. Zijn bijdrage gaat over ‘how tailored AI solutions optimize efficiency, drive smarter decisions, and create real impact—because AI isn’t the future, it’s now.’ Daily Data Bytes vroeg hem alvast om een voorproefje.
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Can you tell us about DataPebbles and the work it’s doing?
‘At DataPebbles, our goal is simple: we help businesses make sense of their data and turn it into real-time, actionable decisions. There’s so much data out there, but the challenge isn’t collecting it – it’s actually using it effectively. That’s where we come in. We specialize in making complex data simple. Whether it’s optimizing supply chains, refining financial strategies, or improving customer experiences, we ensure companies aren’t just gathering data but actually leveraging it to make smarter, faster decisions.
To do this, we created Moonjelly, our AI-driven platform. It’s designed to automate processes, enhance decision-making, and seamlessly integrate AI into business workflows. At the end of the day, it’s all about getting real results – quickly and efficiently.’
How do you use AI for real-time insights?
‘Real-time AI isn’t just about speed – it’s about making the right call at the right moment. Depending on the situation, AI can operate at different speeds, first milliseconds where things like fraud detection, dynamic pricing, and instant recommendations can be handled properly. Or seconds to minutes, when predicting customer behavior, optimizing operations, and fine-tuning marketing campaigns.
To put it in perspective, here are a few ways our AI works in real life, in different industries, such as, E-commerce & Logistics, where AI speeds up product classification, improves SEO, and ensures brand consistency – helping businesses get products to market faster. Also in Finance & Trading, where AI sifts through massive reports and extracts key insights in seconds instead of hours. And finally, in Energy & Manufacturing, where predictive maintenance catches potential equipment failures before they happen, reducing downtime by 40%. By embedding AI into these processes, businesses don’t just keep up – they stay ahead of the curve.’
Do you create custom AI for each client, or do you have reusable tools?
‘A bit of both. Some companies need fully customized AI solutions, and we build those from the ground up. But we also offer our flexible AI framework, which speeds up AI adoption without having to start from scratch. With this framework, businesses get faster AI deployment with pre-built models, AI that continuously learns and improves and lastly, seamless integration into existing workflows.
Beyond that, we provide plug-and-play AI tools, like: AI-powered data pipelines to streamline decision-making, machine learning APIs for scalable automation and pre-trained models optimized for different industries. This way, businesses get customization where they need it and efficiency where it matters most.’
‘There are still some challenges, like data integration, where many companies struggle to unify AI with existing tools’
Can you share some AI success stories?
‘Of course! For example, in Retail & E-commerce, we helped reduce product listing time from days to hours, boosting sales and visibility. For our financial clients we put together a platform which is AI-driven to do quicker document summarization and cut trading decision times by 30%. And lastly in Energy & Manufacturing, we applied predictive maintenance which reduced equipment failures, saving 40% in downtime costs.
One of our favorite success stories involves a global e-commerce platform struggling with slow product classification and inconsistent data. Our AI-powered solution automated the entire process – categorizing products, enriching attributes, and even generating high-quality translations with generative AI. The result? Faster time-to-market, improved search rankings, and increased sales.’
Where do you see AI heading in the marketing and research industry?
‘AI is already changing the game in marketing and research, but there’s still so much potential. Right now, AI is great first at providing real-time insights into customer behavior, secondly to do smart segmentation for hyper-targeted marketing and third and most important automated sentiment analysis that tracks public perception.
But there are still some challenges, like data integration, where many companies struggle to unify AI with existing tools. In data quality, if the data isn’t clean, the insights won’t be accurate. With respect to transparency where people need to trust AI’s decisions, which means clearer explanations, and with bias, since AI models need to be ethical and fair.
The future of AI in marketing will be all about blending automation with human creativity – giving marketers powerful insights while still keeping the human touch. Companies that figure out how to strike this balance will have a huge advantage.’
What advice would you give to businesses exploring AI?
‘AI isn’t just for big tech companies – it’s a tool that every business can use. If you’re thinking about getting started, here’s our advice. To name a few:
Find AI’s biggest impact areas – identify where AI can save time and money, Make AI part of your workflow – it should enhance your current systems, not replace them, Keep AI transparent – trust is key to making AI-driven decisions, Start small and scale up – test AI in focused areas, measure results, and expand from there and lastly, Think beyond automation – AI isn’t just about efficiency, it’s about uncovering new opportunities.’
Final thoughts?
‘AI isn’t a ‘future technology’ anymore – it’s happening right now. The companies that embrace it today will be the ones leading their industries tomorrow. The question is: are you ready?
Geïnteresseerd in wat Luis Agudelo vertelt op MIE’25, meld je dan aan voor het MIE’25. Meer informatie en aanmelden op Data and Insights Network – Data & Insights Event – MIE’25