The Data Science and Artificial intelligence field has boomed in the past few years. By 2030, the market of AI technologies is going to be around 1.8 trillion dollars. Due to its high market demand, many students have started to opt for this field. AI and data science has brought a paradigm shift in the technology used in different industries. From the voice assistant in the mobile phones to data used in building rockets. These two fields have brought transformational changes in the industries.
What is Data Science?
Data science is a field that mainly caters to the future. Starting from the big data which is further used as a material to feed the algorithms. Data scientists generally work on algorithmic models that deal with self-improvement and learn from their mistakes. This advanced field has transformed various industries:
- Healthcare: Data science can help in predicting the pattern of uncommon diseases or infections by analysing the previous ones.
- Transportation: Help in optimising the transportation routes by road and sea.
- Sports: Data Science helps in the accurate evaluation of an athlete’s health.
- Governance: Data science can help the government in predicting policy outcomes.
- Social media: This advanced technology can help in segregation the users based on interest and age group.
What is Artificial Intelligence?
Artificial intelligence is a field that tries to mimic human intelligence in machines. It is done so that machines can execute tasks mimicking human intelligence. All this is executed by constantly analysing the learning, and reasoning patterns of human beings. Some applications of AI include self-driving cars, taxi booking mobile applications, voice assistants, chatbots, and many more.
Key Differences Between Data Science and Artificial Intelligence
|
Aspect |
Data Science |
Artificial Intelligence |
|
Scope and focus |
Involves the complete lifecycle of data, i.e. from collection to analysing to conclusion. |
This field mainly focuses on building systems that mimic the tasks performed with human intelligence. |
|
Goal |
Unveiling the patterns in the data and implementing them for better outcomes |
Developing intelligent systems or machines that can take actions just like humans |
|
Techniques |
Statistical, analytical methods, and machine learning algorithms |
Neural networks, NLP, knowledge graphs, generative AI, and more |
|
Applications |
Brought transformative changes in various industries like- healthcare, finance, marketing, business, social media marketing, and more. |
Virtual assistants, recommendations applications, IOT devices, and more |
|
Level of Automation |
Data science may involve a little automation but mostly requires human intervention. |
Semi-automation in some devices but with more advancement in technology full automation will be possible in the near future. |
Relationship Between Data Science and Artificial Intelligence
Prima facie, data science, and artificial intelligence might appear to be quite similar, But on deep analysis, we will observe a few differences. Data science is a much broader term that includes technologies like AI, ML, and deep learning. In other words, artificial intelligence is a subset of data science. Whereas, AI is a specialised field that deals with machines that can carry out tasks autonomously.
Career Opportunities and Job Roles
Students after pursuing courses like B.Tech in Data Science and B.Tech CSE artificial intelligence have multiple opportunities and can work in various industries in different positions. Some of the positions include:
- Data scientist
- Data science manager
- Data analyst
- ML Specialist
- Machine learning engineer
- Speech Scientist
- NLP Developer
- AI Scientist, and more.
If you are a student and searching the internet with terms like best B.Tech college in Ujjain, and best private engineering colleges in Ujjain, consider Avantika University. It offers a 4-year B.Tech Computer Science and Engineering with various specialisations like Data Science, Artificial Intelligence, Cloud Computing, and UX Design. More focus is given to experienced-based learning so that students get ready to face the upcoming hassles of the professional world. Students at Avantika University go through rigorous hands-on training, industry visits, and guest lectures so that they get the latest updates on industry trends.
To know more about the B.Tech college's direct admission, and eligibility for B.Tech, contact the admission committee. https://www.avantikauniversity.edu.in/admission-engineering.php