Organisations bring me in when AI has to work in the real world: when data never stops changing, when models must be explained to boards and regulators, and when a pilot needs to become a production system. I combine two decades of research leadership with hands-on experience running industry AI partnerships — including a joint research laboratory with one of Europe’s largest banks.
How I work with organisations
Strategic advisory & executive briefings. For boards, executive teams, and public-sector leaders making AI decisions: strategy reviews, AI governance and responsible-AI frameworks, technology due diligence, and independent assessment of AI investments and vendor claims. I serve as Co-Scientific Director of the FinAI-Lab, the joint AI laboratory of BNP Paribas and Télécom Paris, advise on international AI standards (ISO/IEC SC 42), and have advised governments on AI policy — I bring that same board-level perspective to advisory engagements.
Adaptive & real-time ML systems. For technical teams building systems that must survive changing data: architecture reviews, concept drift and model-monitoring strategy, streaming and edge ML design, fraud and anomaly detection, and MLOps for continuously learning systems. I helped create several of the field’s standard tools — MOA, River, CapyMOA — so the advice comes from having built and operated this class of system, not just studied it.
Keynotes, masterclasses & team training. For conferences, leadership offsites, and technical teams: keynotes on streaming AI, agentic AI, and trustworthy machine learning; executive masterclasses that make AI legible to decision-makers; and hands-on training for engineering teams. Recent sessions include an NVIDIA webinar on secure AI agents, the Monash AI Institute masterclass on time series AI, and keynotes at AAAI and the Australasian Joint Conference on AI.
Selected engagements & recognition
- Co-Scientific Director, FinAI-Lab — the joint AI research laboratory founded by BNP Paribas and Télécom Paris
- Judging panel, the global Data Streaming Awards (2022–present) — recent winners include LinkedIn, Uber, Slack, and Netflix
- Leader of TAIAO (NZD $13M, MBIE), delivering real-time environmental AI with MetService, regional councils, and conservation partners
- Quoted by the Deloitte AI Institute; featured expert on the TechSuite AI Impact podcast
- Fellow of Engineering New Zealand · Best Paper Award, ACM FAccT 2023 · MIT Press author
How an engagement starts
Most engagements begin with a conversation about what you’re trying to achieve, followed by a short, clearly scoped first piece of work — a briefing, a review, or a workshop. From there, some clients need a single intervention; others retain ongoing advisory. I take a small number of engagements at a time, alongside my university roles.
Get in touch
Email albert@albertbifet.com with a few lines about your organisation and what you’re facing, or connect on LinkedIn. I typically reply within a few days.