Which technologies combine to make data a critical organizational asset?
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Explanation:
Penetration Testing and Intelligence Practice , Machine Learning and Artificial Intelligence (AI) , Speech and Natural Language Processing (NLP).
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Answer:
Speech and Natural Language Processing, Machine Learning and Artificial Intelligence (AI), and Penetration Testing and Intelligence Practice (NLP).
Explanation:
Data is now a crucial organisational asset because of machine learning (ML) and artificial intelligence (AI).
- Artificial intelligence's subset of machine learning (ML)
- Algorithms are created and used in machine learning based on prior experiences.
- Therefore, no prediction can be made if the behaviour has never happened before.
- We can use machine learning to tackle challenging issues like facial recognition, self-driving cars, and credit card fraud detection.
- In order to manage scenarios that it hasn't been intended to handle, a machine learning algorithm continuously analyses vast data sets to uncover patterns.
- Machines use historical data to provide accurate outcomes.
- They make predictions using statistics and computer science.
- These days, management and finance both extensively use artificial intelligence.
- Performance and reliability with the aid of machine learning models, enhanced.
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