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 extensively and increasingly on information technologies and infrastructure to manage our business, including developing new business opportunities and digital streaming products and services. Our business operations depend on secure transmission and other data and video processing over the internet and interconnected systems. Malicious technology-related events, such as cyberattacks, computer hacking, computer viruses, ransomware, worms, and other destructive or disruptive software and other attempts to access confidential or personal data, denial of service attacks, and other malicious activities, are becoming increasingly diverse and sophisticated. These events are rising worldwide, highlighting the need for continual and effective cybersecurity awareness and education. Our business, which involves the collection, use, transmission, and other distribution of data and video, may make us and our clients and business partners attractive targets of hackers, denial of service attacks, malicious code, phishing attacks, ransomware attacks, and other threat actors, including malicious insiders (such as employees and prior employees), which may result in security incidents, including the unauthorized access, misuse, loss, corruption, inaccessibility, or destruction of this data (including personal, confidential and sensitive information), unavailability of services, or other adverse events. In the past, we have faced cyber-attacks of this nature, and we expect to continue to face such attacks in the future. Some of these attacks have been successful, although we believe that none to date have been material. We cannot guarantee that our defensive measures will prevent such attacks in the future. These types of cyber-attacks and incidents can give rise to various losses and costs, including legal exposure and regulatory fines, damage to reputation, and others. If successful, these incidents could also materially disrupt operational systems and result in the loss of intellectual property, trade secrets, other proprietary or competitively sensitive information, and general data (including personal information).
Assistant: