Session 2.8b Conference Product Brief: From Data to Decision: Building the Trusted Foundations for AI in Defence
Tracks
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| Wednesday, November 18, 2026 |
| 4:00 PM - 5:00 PM |
| Bradman Theatre |
Sponsored by
Presentation Outline
Artificial intelligence promises faster decision cycles, greater workforce capacity and new forms of operational advantage. In Defence, however, trust cannot be determined by model performance alone. AI must operate across complex estates, fragmented data, multiple security domains, hybrid environments and established chains of accountability. The central challenge is not simply adopting AI, it is providing AI with trusted context and tightly governed pathways to act.
Salesforce’s presentation examines the enterprise foundations required to operationalise AI securely, ethically and at mission-speed and scale. It explores how governed integration and reusable APIs connect legacy, cloud, data and partner environments; how data quality, lineage, metadata and master-data management establish confidence in the information supplied to AI; and how identity, access controls, observability and human-approval boundaries constrain what AI agents can know and do.
The session will show how our Data Foundations combine to create trusted organisational context, while Agentforce provides bounded reasoning and action within defined guardrails. It will also examine how #Missionforce applies these capabilities to national-security missions, including AI readiness, sustainment, workforce, logistics and delivery.
Using a Defence-relevant readiness scenario, the presentation will trace the journey from fragmented operational signals to an evidence-based recommendation, authorised human decision and auditable action. It will address sovereignty, zero-trust access, resilience, lifecycle governance and operation across distributed environments without proposing unconstrained autonomy.
Attendees will leave with a practical, architecture-led framework for adopting AI progressively: connecting approved systems, establishing authoritative data, defining machine authority, preserving human accountability and expanding capability only when operational evidence supports it.
Speaker
Mr Daniel Lim
Vice President, Product Strategy & Foresight
Salesforce
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Biography
Daniel Lim is Vice President of Product Strategy & Foresight at Salesforce Missionforce, where he leads long-range strategy, scenario planning, and technology foresight for defense, national security, and public sector products. His work examines how emerging technologies will reshape government and military operations over the coming decade, and translates that foresight into mission-ready capabilities. He also oversees the user-experience design and research at Missionforce, ensuring human-centered principles guide mission-critical solutions for defense, national security, and public sector customers.
Previously, Daniel was a futurist on the Salesforce Futures team, where he developed scenarios and corporate strategies to help executives and government leaders anticipate and shape the implications of artificial intelligence for industry and society. Daniel joined Salesforce through the acquisition of Sequence, a design and innovation consultancy where he was a partner responsible for strategy, client services, and engineering, and oversaw relationships with Apple, Chevron, and the International Monetary Fund. Daniel was a fellow at the World Economic Forum's Artificial Intelligence platform, where he led the Responsible AI initiative.
Earlier in his career, Daniel held leadership roles at McKinsey & Company and Proxicom, and served at the White House Office of Science and Technology Policy. He holds a bachelor's degree in physics and a graduate degree in public policy from Carnegie Mellon University.
Previously, Daniel was a futurist on the Salesforce Futures team, where he developed scenarios and corporate strategies to help executives and government leaders anticipate and shape the implications of artificial intelligence for industry and society. Daniel joined Salesforce through the acquisition of Sequence, a design and innovation consultancy where he was a partner responsible for strategy, client services, and engineering, and oversaw relationships with Apple, Chevron, and the International Monetary Fund. Daniel was a fellow at the World Economic Forum's Artificial Intelligence platform, where he led the Responsible AI initiative.
Earlier in his career, Daniel held leadership roles at McKinsey & Company and Proxicom, and served at the White House Office of Science and Technology Policy. He holds a bachelor's degree in physics and a graduate degree in public policy from Carnegie Mellon University.
