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 use and rely significantly on sophisticated information technology systems, networks, and infrastructure in conducting our day-to-day operations, providing services to certain customers and protecting sensitive Company information. In addition, we also rely on third-party software and information technology for certain of our critical accounting, project management and financial information systems. We also collect and retain information about our customers, stockholders, vendors and employees, with the expectation by such third parties being that we will adequately protect such information. Information technology system failures, including suppliers’ or vendors’ system failures, could disrupt our operations by causing transaction errors, processing inefficiencies, the loss of customers, other business disruptions or the loss of employee or other third-party personal information. We have in the past experienced system interruptions and delays and expect that such interruptions and delays may occur in the future, given the increasing diversity and sophistication of cybersecurity threats. In addition, our systems, networks and infrastructure could be damaged or interrupted by natural disasters, power loss, telecommunications failures, intentional or inadvertent user misuse or error, failures of information technology solutions, computer viruses, malicious code, ransomware attacks and acts of terrorism. We may also be subject to physical or electronic security breaches, including breaches by computer hackers or cyber-terrorists or unauthorized access to or disclosure of our or our customers’ data. These events could impact our customers, employees and reputation and lead to financial losses from remediation actions, loss of business or access to our business data, potential liability or an increase in expenses, all of which may have a material adverse effect on our business. Similar risks could affect our customers and vendors, indirectly affecting us.
Assistant: