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 technology systems to process, transmit and store electronic information in our day-to-day operations. Our information technology systems may fail to perform as anticipated, and we may encounter difficulties in implementing new systems, adapting these systems to changing technologies or expanding them to meet the future needs and growth of our business. In addition, our information technology systems may be subjected to damage or interruption from power outages, computer and telecommunication failures, usage errors by our employees, security breaches, computer viruses or other malicious codes, unauthorized access attempts and cyber- or phishing-attacks. We also store certain information with third parties that could be subject to these types of attacks. These attacks could result in our intellectual property and other confidential information, including personal health information, being lost or stolen, disruption of our operations, loss of reputation and other negative consequences, such as increased costs for security measures or remediation costs and diversion of management attention. While we will continue to implement additional protective measures to reduce the risk of and detect future cyber incidents, cyber-attacks are becoming more sophisticated and frequent, and the techniques used in such attacks change rapidly. There can be no assurances that our protective measures will prevent future attacks that could have a material adverse effect on our business.
Assistant: