Multimodal AI is redefining how humans interact with technology by processing multiple types of data—text, images, video, and audio—simultaneously. This allows systems to understand complex human contexts, like vocal inflections and facial expressions, creating a more intuitive and human-like experience.
As AI becomes central to business infrastructure, the focus has shifted from experimental use to proactive governance. Topics like Sovereign AI—where nations build their own AI infrastructure to maintain data sovereignty—and compliance with frameworks like the EU AI Act are top priorities
Typical roles in this space will safeguarding agents, chatbots and AI deployments
Machine learning
Consultancies, In-house teams
Net zero strategy, GHG accounting, circular economy, financed emissions
ESG strategy, portfolio integration, due diligence
Task Force on Nature Related Disclosures (TNFD), nature based metrics, nature positive
EU taxonomy, TCFD, SFDR, GHG protocol, SBTi
Physical & transition risk, climate stress testing, climate modelling, scenario analyses
Human rights, diversity and inclusion, health & safety
Sustainable sourcing, energy efficiency, ethical labour, life cycle assessment
Carbon trading, carbon offsets, green investment, natural capital accounting
ESG ratings, ESG reporting and disclosure, data integration, Impact data