Adobe’s strategy signals a shift from tool vendor to AI workflow orchestrator, prioritising efficient, brand-compliant content scaling over raw AI model power.
Adobe’s new Firefly Foundry offers bespoke, brand-specific Generative AI models using proprietary IP, securing brand integrity while scaling content production.
Model context protocol (MCP) is a vital standard enabling AI agents to automate tasks in core enterprise systems, but requires immediate, strong governance for safe adoption.
ERP databases are rapidly integrating AI indexing like vector and graph search. This will enable ‘invisible AI’ within core business applications, but adoption may be slow due to migration and skill challenges.
Adobe’s latest AI innovations, including GenStudio and LLM Optimizer, are enabling businesses to hyper-personalise customer experiences and boost visibility in AI-driven interactions.
While W11 boosts security and productivity, migrating needs careful planning for hardware/app compatibility and user training ahead of W10 end-of-support.
Implementing an HCM system represents a complex undertaking that extends well beyond technical deployment. Organisations that approach implementation with a comprehensive understanding of potential challenges – from early planning through risk management – position themselves for success.
Adobe’s Experience Platform Agent Orchestrator enables businesses to build AI agents for enhanced customer interaction and automated B2B marketing and sales processes, offering personalised experiences.
Adobe’s Brand Concierge, built on AEP, offers AI agents for personalised B2B and B2C customer journeys, automating content delivery and meeting scheduling to optimise sales.
