Main Conference Day 2, Wednesday, 5 December 2025

• This workshop provides an overview of AI Foundry and Co-Pilot capabilities, demonstrating

how these tools support the development and orchestration of agentic AI systems through

practical, hands-on examples.

• Demonstrates core features of AI Foundry for scalable AI model development and

deployment, enabling autonomous agent behavior in complex workflows.

• Explores Co-Pilot integration to enhance developer productivity with AI-assisted coding

and automation, facilitating multi-agent collaboration and decision-making.

• Walks participants through real-world scenarios showcasing AI Foundry and Co-Pilot in

action, highlighting their role in building and managing agentic AI systems.

Pooja Bhatia

Data & AI Cloud Solution Architect
Microsoft

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Daniel Hulme, Chief AI Officer, WPP, Room Universe

• In a world where many believe access to more and more data will lead to ever better decision-making, we’ll look at what AI really is - Identifying the current and future challenges and opportunities for emerging technologies

• New framework for thinking about AI, and discussion on how organisations can practically adopt these technologies and avoid being seduced by the hype

• Whilst these technologies are incredible at creating growth and streamlining operations, for companies to stay innovative they need to also use AI to unlock the creative capacity of their workforce.

• Macro impact these technologies may have on business and humanity over the coming decades

Armand Angeli

Vice-President, Digital Transformation and International Groups, DFCG and Expert
DFCG

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• Definition of intelligence and decision-making in the context of AI, questioning the

assumption that more data automatically leads to better outcomes

• Application of agentic systems to augment human creativity, enable adaptive operations,

and support long-term innovation across sectors.

• Assessment of AI’s broader impact on society, governance, and human agency over the

coming decades, including ethical and economic implications

Daniel Hulme

Chief AI Officer
WPP

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• How open-source foundation models can be securely adapted and fine-tuned for real-

world business use cases.

• Insights into model versioning, access control, and performance tracking as enablers of

responsible AI deployment at scale.

• Examples from enterprise projects that combine modular tooling, community-driven

innovation, and production-grade workflows.

Reserved for one of our business Partners

• Exploring fundamental technical aspects of AI agents, including core capabilities and

architectures enabling agentic behavior.

• Discussing multi-agent systems with collaborative and competitive AI agents pursuing

shared objectives, and their superior use cases.

• Highlighting challenges in deploying multi-agent systems, such as error amplification and

suboptimal system behavior, and implications for business users.

Bogdan Pirvu

Head of Data Science
Novomatic AG

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• How autonomous agents are being integrated into engineering workflows across the

product lifecycle, supply-chain, purchasing and manufacturing operations.

• Use cases for AI in product life cycle (PLM) systems and within design teams.

• Breaking silos in manufacturing and using agents to unite the path from design phase to

final customer experience

Haydar Vural

Chief Digital Officer (Cdo)
Karsan

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• How leading enterprises restructure around GenAI — from AI product owners to prompt

engineers and data domain stewards.

• Explore federated vs. centralized approaches, business-user enablement, and lessons in

cultural transformation.

• Insights into how new team structures align with regulatory expectations and support

scalable, cross-functional AI deployment.

• Leveraging GenAI not only for descriptive outputs, but combining it with predictive and prescriptive analytics to generate actionable insights.

• Tackling the complexity of targeting diverse data foundations across multiple business units, balancing scalability with quality.

• Lessons learned from Sanofi Consumer Healthcare’s journey, including successes, mistakes, and next steps in moving from experimentation to enterprise adoption.

Jordi Escayola

Global Head Advanced Analytics, Artificial Intelligence & Data Science
Sanofi

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• Showcasing real-world applications of agentic AI across automotive, pharma, finance, and insurance sectors.

• Examining how enterprises structure secure, compliant multi-agent systems using frameworks like Semantic Kernel and Autogen.

• Reviewing evaluation strategies for GenAI quality and responsible AI design under evolving regulatory expectations.

Sonika Kapil

AI & App Chief Architect
Microsoft

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• Redefining the Production Pipeline - How AI compressed our workflows and enabled new forms of storytelling.

• Building AI Literacy in Creative Teams - Practical strategies for upskilling traditional media professionals and overcoming resistance in established broadcast environments

• Ethical AI - Implementing transparent AI usage policies, ensuring data privacy compliance, and maintaining trust with audience and regulators

• Measuring Success Beyond Efficiency - KPIs for AI transformation in public service media: audience engagement, creative satisfaction, and long-term sustainability metrics

Calle Gisselsson

Exekutiv producent / Projektledare
SVT (Sveriges Television AB)

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