This is an overview on how data professionals can use AI tools• We’ll introduce the AI landscape and tools like ChatGPT, and review practical use cases for data analysts,but will not dive deeply into how these models work or give an exhaustive list of everything they can doSETTING EXPECTATIONS

Data analytics plays a pivotal role in various AI applications, enabling intelligent decision-making and problem-solving. Discuss three specific examples of how data analytics is utilized in AI applications, such as machine learning, natural language processing, and computer vision.

How does ChatGPT stand out in its AI capabilities?By controlling smart home devicesBy translating languages instantlyBy understanding context and nuances in conversationBy predicting the stock marketI don't know

Analyse the impact of data analytics on the performance and effectiveness of these AI applications

How you use AI Tools

Question 2How does Generative AI contribute to addressing the challenges faced by data scientists, researchers, and analysts when exploring significant data patterns and insights?1 pointBy enabling the derivation and evaluation of hypotheses from diverse data sourcesBy replacing the role of data scientists in analyzing data patternsBy speeding up the traditional manual analysis processBy automating the process of collecting and preprocessing data