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: To increase our revenue, we must continue to attract new customers. Our success will depend to a substantial extent on the widespread adoption of our platform and products as an alternative to existing solutions, including as an alternative to traditional systems relying on manual tasks and processes. Many enterprises have invested substantial personnel and financial resources to integrate traditional human-driven processes into their business architecture and, therefore, may be reluctant or unwilling to migrate to an automation solution. Accordingly, the adoption of automation solutions may be slower than we anticipate. A large proportion of our target market still uses traditional systems relying on manual tasks and processes for the major part of their operations. This market may need further education on the value of automation solutions in general and our platform and products in particular, and on how to integrate them into current operations. A lack of education as to how our automation platform and solutions operate may cause potential customers to prefer more traditional methodologies or their limited, internally-developed automated processes, to be cautious about investing in our platform and products, or to have difficulty integrating our platform and products into their business architecture. If we are unable to educate potential customers and change the market’s readiness to accept our technology, we may experience slower than projected growth and our business, results of operations, and financial condition may be harmed.
Assistant: