At Uni I became fascinated about predictive models: how the right combination of data factors could almost magically reproduce a real life event. That led me to study an MSc in the subject and work as an Econometrician for a large Marketing Agency. I later moved into consultancy, enjoying the variety of clients and creative solutions I had to envision for them. I did miss, though, being part of their implementation and monitoring their impact. I joined Schroders in January 2020 in order to be part of the whole process. I lead Data Science & Business Intelligence in areas related to clients within Sales, Marketing and Product. We extract knowledge and patterns from data, which are transformed into actionable insights the business can use to deliver a valuable, measurable competitive advantage in sales, client retention and engagement
As organizations move beyond proof-of-concepts, the challenge shifts to implementing generative AI solutions that deliver tangible value across the enterprise. This panel explores strategies for scaling GenAI initiatives, from building robust frameworks to managing costs and ensuring continuous improvement in a rapidly evolving technological landscape. Learn how business leaders are effectively operationalizing value-adding GenAI by:
• Developing enterprise-wide frameworks that accelerate deployment and ensure consistency
• Implementing cost-effective strategies for model fine-tuning and scalable infrastructure
• Fostering a culture of continuous improvement and shared capabilities across teams
Check out the incredible speaker line-up to see who will be joining Cristina.
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