Fujitsu impact series
Season 1

Driving AI for
Real Business
Outcomes

Fujitsu impact series
Season 1

Driving AI for Real Business Outcomes

From AI experiments to impact:
how enterprises can operationalize trusted AI at scale

Artificial Intelligence (AI) adoption is accelerating, yet many organizations struggle to move beyond pilots and deliver measurable business outcomes.

The Fujitsu impact series is designed to help organizations navigate such real-world challenges of enterprise AI, bringing together practical guidance from Fujitsu experts and IDC guest speakers to combine real-world execution experience and an independent market perspective.

The series explores the challenges AI leaders are tackling today, from adoption and trust to agentic AI orchestration, sovereignty, security, and value realization, offering practical perspectives and deeper insights to support informed decision-making.

What you’ll gain

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Real-world perspectives
informed by customer experienceand independent analyst insights

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Industry examples
to help you identifyopportunities relevant to yourown business or industry.

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Practical guidance
across the full AI lifecycle, from adoption to valuerealization to help you move AI beyond pilots andinto delivering measurable outcomes.

Season 1

Featured Episodes to help you drive AI to deliver Real Business Outcomes

Graphic for Episode 1 – AI Adoption for the Fujitsu impact series: Driving AI for Real Business Outcomes. Live Session Date: 15th January 2026

From Hype to Measurable Outcomes

Only 11% of organizations succeed in more than 75% of their AI projects. Will you join the 11% who achieve big wins?

Discover why most AI pilots fail and learn howto build strong data foundations, governance models, and leadership commitment to achieve real ROI.

Live Session Date:
15th January 2026

graphic for Episode 2 – Trustworthy AI for the Fujitsu impact series: Driving AI for Real Business Outcomes. Live Session Date: 29th January 2026

Accuracy and Trust for Critical Decisions

Would you trust AI for business-critical decisions?

To power mission-critical operations, AI must deliver uncompromising precision and transparent, explainable decisions for trusted business outcomes.

This episode explores how Knowledge Graphs, Retrieval-Augmented Generation (RAG), and multimodal AI deliver trustworthy, compliant, and auditable outcomes.

Live Session Date:
29th January 2026

graphic for Episode 3 - AI Orchestration for the Fujitsu impact series: Driving AI for Real Business Outcomes. Live Session Date: 12th February 2026

Humans and Digital Co-Workers in Action with Agentic AI

How does multi-agent orchestration contribute to enterprise transformation?

This episode concentrates on how Agentic AI and multi-agent orchestration enable digital co-workers to collaborate with humans, streamlining workflows across enterprise systems.

Live Session Date:
12th February 2026

graphic for Episode 4 - AI Sovereignty for the Fujitsu impact series: Driving AI for Real Business Outcomes. Live Session Date: 26th February 2026

Control and Compliance in a Multi- Cloud World

Is your AI strategy truly sovereign, or just outsourced trust?

Understand how sovereign data foundations and governance models protect IP, ensure compliance, and build resilience.

Live Session Date:
26th February 2026

graphic for Episode 5 - AI Security for the Fujitsu impact series: Driving AI for Real Business Outcomes. Live Session Date: 12th March 2026

Guardrails for Autonomous Systems

Who guards the AI guardians?

As AI agents gain autonomy, security risks rise. In this session we explore how to secure AI systems, prevent data leakage, detect bias, and apply guardrails across multi-agent environments.

Live Session Date:
12th March 2026

graphic for Episode 6 - AI Value Realization for the Fujitsu impact series: Driving AI for Real Business Outcomes. Live Session Date: 26th March 2026

KPIs, Governance and Continuous Success

Is your AI delivering measurable value?

In this session we take a close look at how to embed governance, track KPIs, and ensure continuous improvement for long-term success.

Live Session Date:
26th March 2026

Dr. Chris Marshall

VP at IDC Asia/Pacific leading AI, data, analytics & Industries research

Chris is Vice President at IDC Asia/Pacific, leading research on AI, data, analytics, and sustainability. With 25+ years across academia and industry, he provides an independent perspective on how AI reshapes business models, leadership priorities, and industry transformation.

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Linus Lai

Group Vice President, Services, IDC Asia/Pacific

Linus Lai is a chief analyst based in ANZ, leading all of IDC's Global Services Research covering a wide array of topics from Agentic AI integration and the future of services as products. Linus is based in Sydney, Australia, and is a founding member of IDC's Emerging Technology Advisory Council.

Stephanie Krishnan

Stephanie Krishnan

Associate Vice President

Stephanie is an Associate Vice President at IDC Asia/Pacific, leading research across manufacturing, energy, and supply chains. She focuses on how AI and automation move from experimentation to operational resilience and value creation across complex ecosystems.

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Aditya Raj

AI Subject Matter Expert

Aditya is an AI Subject Matter Expert at Fujitsu Europe, specializing in turning advanced AI concepts into operational, trustworthy use cases. He supports enterprises across regulated and data‑intensive industries, helping align AI innovation with business strategy, compliance, and measurable impact.

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Nicholas Lee

Executive Director, Data x AI, and CEO Fujitsu Intelligence

Nicholas is the CEO of Fujitsu Intelligence in North America, responsible for building and scaling Fujitsu’s Data and AI business in the region. His work centers on AI orchestration, connecting enterprise data, models, and operational workflows to drive measurable outcomes across manufacturing, supply chain, financial services, and retail. He operates directly with customers to shape strategy, stand up capabilities, and move solutions from concept to production.

John Walsh

VP & CTO Europe

Vice President and CTO for Fujitsu Europe, John leads enterprise adoption of AI, data, cloud, and emerging technologies. His work focuses on moving organizations from experimentation to disciplined AI delivery, addressing governance, trust, explainability, and integration to ensure innovation delivers real, scalable business value.

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Udo Würtz

Chief Technology Officer (CTO) of Fsas European Platform Business

Udo Würtz is Chief Technology Officer (CTO) of Fsas European Platform Business, a Fujitsu company, and was appointed Fujitsu Fellow for his technological thought leadership. In his role, he advises the top management of leading companies on strategies, technologies and new trends in the IT business.
His technological focus is on artificial intelligence (especially generative AI), quantum computing, modern software-defined data centres and the use of IoT data in LLM models.

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Kartik Ravel

Head of Business Value

Kartik is a transformation leader specializing in large-scale operating model and digital modernization initiatives, with a focus on Manufacturing 4.0. He advises executives on product-driven organizations, AI value realization, and technology-enabled performance improvement. His work centers on translating digital and AI investments into measurable EBITDA, working capital, and operational gains. Kartik brings a structured, value-first approach to enterprise transformation, aligning strategy, architecture, and execution to drive sustainable performance improvement.

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Ker Yang Tong

CTO for Fujitsu ASEAN Region

Ker Yang is CTO for Fujitsu ASEAN region, overseeing AI and technology strategy across highly diverse markets. His focus is scaling AI securely while adapting platforms to varying regulatory, operational, and maturity levels across the APAC region.

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Kurt Dusterhoff

Senior Manager, Technology Strategy Unit, Fujitsu

Kurt is a Senior Manager and Subject Matter Expert at Fujitsu Research Europe, working at the intersection of AI research and enterprise security. He helps apply multi‑agent AI and cyber research to practical enterprise security challenges.