System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: We rely on information systems and technology to manage our business and summarize operating results. We intend to continue to modernize our systems and associated infrastructure. Integrated systems are designed to accurately maintain the Company’s financial records, enhance operational functionality and provide timely information to the Company’s management team related to the operation of our business. The system modernization process has required, and will continue to require, the investment of personnel and financial resources. We may not be able to successfully complete any system modernization without experiencing increased costs and other difficulties and our planned timeline to implement the system modernization may be delayed. If we are unable to successfully implement system modernization as planned, our business, results of operations, and financial condition could be negatively impacted. The SID North America ERP deployment in 2021 impacted earnings in the third quarter of 2021 and the timing of billing and collections also impacted bad debt reserves in 2021 and 2022. The RWCS North America deployment in 2023 impacted timing of billing and collections in Q4 2023. These impacts were due to typical ERP start-up challenges, which included team members learning new processes and technology across every aspect of the business and onboarding and tuning the flow of data elements through the system. To the extent we experience billing and collections challenges, lower levels of revenue or higher levels of bad debt expense or customer concessions may result. Additionally, if we do not effectively implement systems modernization as planned or system modernizations do not operate as intended, we may experience higher levels of customer disputes and attrition, savings from systems may not be achieved, or the effectiveness of our internal control over financial reporting could be adversely affected or our ability to adequately assess and operate those controls could be delayed.
Assistant: