Translating tomorrow's technology into today's transformative business reality.
Anthony Mittelmark is a Chief Technology Officer and AI Strategy Leader with over 20 years’ experience delivering technology solutions that have generated more than $1 billion in enterprise value. As a highly regarded fractional CTO, Anthony specialises in translating complex AI capabilities into measurable business outcomes for ASX 100 companies and high-growth ventures.
Anthony is known for bridging the gap between technical innovation and commercial impact. He works seamlessly with both CEOs and CTOs, enabling organisations to implement AI strategies that drive ROI and competitive advantage across sectors including retail, financial services, and enterprise technology.
A proven entrepreneur, Anthony has founded and scaled multiple technology ventures, achieving three successful exits totalling over $40 million. He played a key role in building two digital startups into billion-dollar operations within five years, including contributions to Ninemsn and CarSales. As a technology leader, Anthony has consistently delivered strong growth, including 30% year-on-year revenue increases while managing portfolios exceeding $400 million.
Anthony is a recognised thought leader in AI and digital transformation. He has delivered keynote presentations at major industry conferences, including the highest-rated keynote at iMedia Retail Summit on “Mind to Machine: When AI Agents Hijack Human Intent.” He regularly shares insights on AI strategy and implementation through publications and speaking engagements.
Anthony holds an MBA in Strategic Foresight from Swinburne University and has completed the Company Directors Course with the Australian Institute of Company Directors. Based in Melbourne, he serves on advisory boards for emerging technology companies and provides strategic guidance to enterprises navigating AI transformation.
Talking Points
From Hype to Value: Translating AI Capabilities into Business Outcomes
Organisations struggle with AI because they can't connect technical capabilities to business needs.From Hype to Value: Translating AI Capabilities into Business Outcomes
This keynote provides a proven framework for translating AI potential into measurable outcomes; revenue growth, cost reduction, and competitive advantage. Learn the strategic sequencing approach that separates successful AI deployments from expensive experiments.
Key Takeaways:
- Commercial Translation Framework - Map AI capabilities to business problems with clear ROI pathways
- Implementation Sequencing - Prioritize initiatives by business impact and feasibility, not hype
- Pilot to Production - Overcome platform limitations and scale AI for sustainable value
- Executive Communication - Bridge technical and commercial language to secure buy-in and funding
- Common Failure Patterns - Avoid technology-first thinking and unclear metrics that doom most AI projectsd to build value for any industry
The AI Implementation Sequencing Framework
Format: Keynote or WorkshopThe AI Implementation Sequencing Framework
Most organisations approach AI implementation backwards chasing trendy use cases instead of strategic priorities that deliver business value.
This keynote introduces a practical sequencing framework that prioritizes AI initiatives based on ROI potential, organizational readiness, and competitive impact. Learn how to build an AI roadmap that compounds value over time rather than scattering resources across disconnected pilots.
Key Takeaways:
- The Sequencing Matrix - Evaluate AI opportunities across four dimensions: business impact, technical complexity, data readiness, and organizational change required
- Quick Wins vs. Transformational Plays - Balance immediate ROI projects with longer-term competitive advantages for sustained momentum
- Dependency Mapping - Identify which AI capabilities build on each other to create compound value and avoid dead-end investments
- Readiness Assessment - Determine if your platform, data, and team can support specific AI initiatives before committing resources
- The Anti-Pattern List - Common sequencing mistakes that waste budget and erode stakeholder confidence in AI strategies
The Augmented Retailer: AI-Powered CX and EX Optimization
Retail's future isn't about replacing humans with AI—it's about augmenting both customer and employee experiences to create unprecedented value. This keynote reveals how leading retailers deploy AI across the entire value chain, from personalized customer journeys to empowered frontline staff, driving measurable improvements in conversion, retention, and operational efficiency. Learn the practical AI applications that transform retail economics while enhancing human connection.The Augmented Retailer: AI-Powered CX and EX Optimization
Key Takeaways:
- Dual Optimisation Strategy - Balance customer experience (CX) improvements with employee experience (EX) enhancements for maximum impact
- AI Across the Journey - Deploy targeted AI solutions at each touchpoint: personalization engines, intelligent inventory, predictive fulfillment, and assisted selling
- Empowered Frontline - Equip store associates with AI tools that turn them into super-employees rather than replacing them
- Unified Commerce Intelligence - Integrate AI across channels to create seamless omnichannel experiences and operational visibility
- Real ROI Examples - Specific case studies showing conversion lifts, cost reductions, and competitive advantages from AI-powered CX/EX initiatives
The GenAI Stack: Building Sustainable Competitive Advantages
GenAI offers transformative potential, but most implementations create temporary efficiency gains rather than lasting competitive moats. This keynote deconstructs the GenAI objective and how to priortise and sequence solutions that compound value over time through proprietary data, custom models, and integrated workflows. Learn about the strategies to build, buy, or partner —and how to create defensible advantages that competitors can't easily replicate.The GenAI Stack: Building Sustainable Competitive Advantages
Key Takeaways:
- Stack Layer Strategy - Understand how GenAI services work and what you need to make them work well for you
- Build vs. Buy Decisions - Determine which components to develop internally versus leverage through APIs and partnerships based on strategic value
- Proprietary Data Advantage - Turn company-specific data into your competitive moat through fine-tuning and retrieval-augmented generation
- Integration Over Isolation - Embed GenAI into core workflows and systems rather than standalone tools for sustainable adoption and impact
- The Commoditization Curve - Anticipate which GenAI capabilities will become table stakes versus sources of ongoing differentiation
The Augmented CMO: Leveraging AI to Amplify Human Creativity and Strategic Vision
The CMO role is undergoing its most dramatic transformation in history as AI agents, generative search, and cognitive computing fundamentally reshape how customers discover and engage with brands.The Augmented CMO: Leveraging AI to Amplify Human Creativity and Strategic Vision
This keynote reveals why traditional marketing approaches are being intermediated by tech giants (Meta, Google, Perplexity) and how CMOs must evolve from campaign managers to "Experience Orchestrators"—leading cross-functional teams to engineer context, orchestrate data, and deliver N=1 personalization at scale. The future belongs to marketers who master the technical-strategic bridge between AI capabilities and human-centered brand experiences.
Key Takeaways:
- The Intermediation Threat - Tech platforms are actively designing AI agents to bypass brands and own customer intent; marketers must architect experiences that AI tools prioritize and recommend
- Context Engineering as Competitive Moat - Generative search requires systematic structuring of product/service context beyond traditional taxonomy; mastering this creates defensible IP and conversion advantages
- Experience Orchestrator Role - CMOs must develop data fluency, AI/ML evaluation skills, and cross-functional technology leadership to orchestrate coherent omnichannel experiences across the entire value stream
- Agent Brands Over Product Brands - The AI agent interface will become the brand face; companies must build compelling agent experiences that shape perception and loyalty
- GEO Replaces SEO - Generative Engine Optimization demands semantic clarity, API-ready data structures, and content designed for AI consumption rather than keyword ranking
- N=1 Personalization is Non-Negotiable - Segmentation and personas are obsolete; marketers must deliver individualized experiences using AI while maintaining human intuition for strategic creativity
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