First, give conclusions that can be used for decision-making
The Agent project usually experiences scenario definition, data and tool preparation, PoC, production engineering, small-scale piloting and operational optimization. PoC answers “Is the Model Can Do it”, while the production phase answers “Is the System Operating under Change in Competence, Aberration, Symphony and Versions?” The cycle is easier to control if the required API is stable, knowledge content is responsible and less risky; preparation is significantly extended if there are multiple old systems to be modified or new data governance established.
What conditions need to be identified before judgement is made?
The same question may have different answers under different business, data and project phases. It is suggested that the following conditions be checked and that the common findings on the web be incorporated into their own projects.
Suggested order of advance
First, we'll be clear about the target and the border.
Phase 1 locks a mission and a fixed evaluation set.
Validation Key Dependence
Phase II validates the technical feasibility of models, knowledge retrieval and tools for use.
Development of assessable outcomes
Phase III is to complete the rights, logs, anomalies, surveillance and manual clearance.
Make sure you decide the next step with the real results.
Phase 4 allows a small number of users to actually test, depending on the failure data.
How do you understand it in the actual business?
The PoC of the passenger service list, Agent, may be able to see effects in a week, but it is necessary to access the worksheet system, process new categories, record confidence, support manual correction and monitor category drift before going online. If the PoC script is directly linked to production, it is difficult to track errors after changes in models or business rules.
The easiest pit to step on.
Consider the time when you can demonstrate it as time to produce it online.
Waiting for all the scenes to be completed, which resulted in the delay in validation of the first value
No user training, operator and evaluation and updating mechanism in the go-live plan
How should we end up receiving and confirming?
Each stage should have an independent conclusion: PoC provides evidence of effectiveness and cost, production implementation provides evidence of systems and safety, test runs provide data on true users and failures. Only high-risk errors are controlled, manual processes are available and business indicators are baselined are they suitable for expansion.
When preparing to communicate with suppliers or internal teams, it is recommended that current processes, representative samples, existing systems, planning time and budget levels be brought. First, the unknown items are clearly marked, and then the decision is made to use diagnostics, PoC, fixed-range projects or ongoing research and development, which is usually more reliable than a direct demand for a price and duration without borders.