Join Dan Blagojevic, PhD, Director of Decision Sciences & Machine Learning and Andrew Donald, Director of Engineering at Optima Partners, alongside Iain Brown, PhD, Head of Data Science at SAS Europe. Together, they explore how to bridge the gap between AI’s potential and real-world implementation in the credit domain.

The conversation unpacks the barriers to operationalising advanced analytics in enterprise-scale environments, the emerging role of synthetic data, and the responsibility businesses carry when introducing AI into high-stakes decisioning.

Joining Christopher Foley Ph.D., Managing Director and Chief Scientist at Optima Partners, is Murray Allan, Director of Customer Strategy & Engagement at Optima Partners, alongside Toni Keskinen, Co-founder & Chief Product Officer at 180Ops, Together, they discuss how businesses can activate meaningful customer relationships while leveraging the potential of AI.

The conversation explores the challenges and opportunities of integrating AI-driven personalisation into existing systems, the importance of balancing automation with human expertise, and how organisations can maintain ethical and regulatory compliance while meeting rising customer expectations.

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For episode 1 of our brand new series, we brought together three experts to explore the intersection of artificial intelligence and human decision-making in business: Danilo Blagojevic Ph.D., Director of Decision Sciences and Machine Learning at Optima Partners & Chris Foley Ph.D., Managing Director and Chief Scientist at Optima Partners; along with Toni Keskinen, Co-founder & Chief Product Officer at 180ops.

Drawing from their extensive experience across industries, they discussed both the transformative potential and challenges of AI adoption in business environments. The conversation covered practical applications of AI, the delicate balance between data-driven insights and human intuition, and the obstacles businesses face when integrating new technologies across different functions.

Our speakers highlighted the importance of thoughtful data design and the complexities of creating unified customer views, especially for established companies with legacy systems. Regional differences in technology uptake, as well as ethical considerations around increased automation, were also key themes. Despite the promise AI holds, they emphasised that we are still in the early stages of this technological shift, with much more to learn.

Key takeaways:

• The practical applications of AI in business
• The balance between data insights and human intuition
• Challenges in adopting new technologies across business functions
• Data quality and integration in large organisations
• Balancing innovation with privacy and regulatory concerns

If you wish to learn more about AI and the impact it can have for your business, please contact us here.