De-Risking the Enterprise AI Transition

As enterprises make the shift from legacy towards AI-driven services, measures are required to ensure system speed, uptime and accessibility. This masterclass explores actions enterprises can take to reduce risk throughout this transition

•Phase into an AI-ready enterprise while ensuring consistent uptime and customer satisfaction

•Learn how to incrementally migrate and modernise systems to be AI-native while they are still running

•Understand where to place traffic interception layers in case a new cloud feature fails

Learning Outcomes:

➔Develop criteria to assess your organisation’s AI readiness: Identify and prioritise migration opportunities based on ROI, business value and risk

➔Develop a phased traffic rollout plan: Create a traffic migration strategy to minimise downtime when deploying new AI systems.

➔Create an architecture integration plan: Construct a blueprint showing how legacy and modern