This video, hosted by Intellipaat, is a comparison of data science and artificial intelligence (AI). The hosts begin by defining AI as a theory and the development of computer systems to mimic human intelligence. They discuss how AI has been integrated into our lives, such as in voice assistants like Siri, Alexa, and Google Assistant. They note that the research and community interest in AI has grown exponentially over the years, suggesting that it is a trending field for the next decade.
The hosts then delve into the comparison between data science and AI. They describe data science as a process of pre-processing data, performing analysis, and generating visualizations to make predictions. In contrast, AI involves implementing models to forecast future trends and events. They highlight that while data science is concerned with understanding patterns and trends in data, AI aims to autonomously handle data.
The hosts also discuss the skills required for each field. Data science involves understanding statistical techniques, design methodologies, and predictive analytics. AI, on the other hand, necessitates knowledge in algorithm design, development, and efficiency. They mention that the average salary of a data scientist is around $130,000 per year, while an AI developer earns around $120,000 per year.
The hosts conclude by stating that data science is preferred when understanding patterns and trends in data is required, while AI is used when precision and speed in decision-making are needed. They mention that companies of all sizes, from tech giants like Apple and Google to Fortune 500 companies, use data science and AI in their operations. For those interested in learning more about these fields, they recommend Intellipaat's data science architect master's program.
Here are the key facts extracted from the text:
1. Data science and artificial intelligence have been a big boon to the world of information technology.
2. The world is a big data problem, and data science and artificial intelligence aim to solve it.
3. Artificial intelligence is a theory and development of computer systems that mimic human intelligence.
4. Artificial intelligence can perform tasks that require human intervention, such as image recognition, speech recognition, decision-making, and translations.
5. Artificial intelligence is integrated into our lives, with applications such as Google Assistant, Cortana, Siri, Alexa, and smart homes.
6. The revenue generated by enterprise applications of artificial intelligence is expected to grow from $357 million in 2016 to $31.236 billion in 2025.
7. Artificial intelligence has the biggest community, with over 40,000 technical papers published on the topic.
8. Data science involves data generation, data storage, data processing, and actionable insights.
9. Artificial intelligence involves data processing, machine learning, deep learning, neural networks, and natural language processing.
10. The average salary of a data scientist is around $130,000 per year, while the average salary of an artificial intelligence developer is around $120,000 per year.
11. Data science is preferred when understanding and finding patterns and trends in data, while artificial intelligence is preferred when precision and decision-making are required.
12. Companies that use data science include Apple, Google, Amazon, Twitter, Facebook, and Nvidia, while companies that use artificial intelligence include Walmart Labs, Microsoft, Genpact, Accenture, Ericsson, and KPMG.
13. Artificial intelligence is used in various industries, including sales, product development, and risk analysis.
14. Intellipaat provides a data science architect master's program that offers end-to-end course certification in data science.