“Thriving in the age of AI” is now available on-demand – Watch now

ON-DEMAND WEBINAR:
Data foundations for AI that scale: Part 2 of the ‘Thriving in the age of AI’ series.

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AI pilots are everywhere. AI at scale is rare.

In this session, Emergn experts Muntis Rudzitis, Pedro Fernandes, Ilana Molčanova, and moderator Gillian Barnes, tackle the essential work that separates experimentation from execution at scale. Drawing on real-world implementations and hard-won lessons, the panel explore why clean, trustworthy data foundations are non-negotiable and what it takes to build them. Together, they discuss:

  • Quality and resilience that scales. Why “good enough” data for dashboards fails catastrophically with generative AI, and how continuous improvement and automated validation catch issues before they multiply.
  • Ownership, context, and governance. The difference between data owners and contributors, why proper metadata turns raw data into meaning, and how clear accountability prevents AI from confidently producing fiction.
  • Integration without data debt. Why fragmented systems tax every AI initiative, and how to start small while building toward scale.

Watch the on-demand recording to see how organizations are building data foundations that make AI scalable, trustworthy, and ready for production.

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Speakers

Gillian Barnes

Moderator and Practice Lead, Business Analysis

Gillian is a trusted analyst and collaborator, passionate about helping teams improve the way they work and deliver value. With more than 20 years of experience she brings a user-centered approach to solving complex problems. Gillian is a mentor and advocate for the BA community, championing collaboration, continuous improvement, and the impact of great analysis.

Muntis Rudzitis

Lead Data Scientist, AI Lab

Muntis focuses on applying the latest ML/AI advances and tools to solve client business problems and deliver measurable value. His experience spans R&D, experimentation, end‑to‑end prototyping, and designing production‑ready machine learning solutions built on robust data pipelines and quality standards. He’s focused on building AI that serves clear business outcomes.

Pedro Fernandes

Practice Lead, Automation

With a strong background in orchestration, integration, and low-code delivery, Pedro helps organizations unlock the value of emerging technologies to drive meaningful transformation. Passionate about bridging technology and business, Pedro has been shaping innovative solutions that blend AI, automation, and data to build lasting organizational capabilities and accelerate outcomes for global clients.

Ilana Molčanova

Data Scientist

Ilana is an experienced data professional with a strong track record in driving data quality and analytics initiatives across multiple industries. Her recent work centers on applying AI to real-world business contexts, ensuring that intelligent systems are built on reliable and well-governed data. Ilana combines deep technical understanding with strategic thinking to help organizations harness AI responsibly and effectively.