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Key Takeaways
Understanding the distinctions between artificial intelligence (AI), machine learning (ML), and data science is crucial for effective implementation and communication within an organisation.
AI mimics human intelligence; ML focuses on algorithms that enable machines to learn from data, while data science encompasses the entire process of solving problems using data.
The maturity of data within an organisation significantly impacts the success of ML and AI implementations; poor data quality can lead to suboptimal outcomes.
Simple rule-based solutions can often address problems effectively before advanced ML models are deployed, saving time and resources.
Integrating AI into customer service can enhance the customer experience by providing quicker and more accurate responses compared to traditional methods.
Engaging with regulators is essential when implementing AI solutions, ensuring compliance and fostering a collaborative approach...
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