1 / 8

The Age of AI: Evolution, Not Extinction, of Data Science

<br>The advent of AI and its siblings, such as the large language models like ChatGPT, has begun raising a spate of speculations about the future course of data science. A few even went ahead to proclaim that AI spells dooms for data science. For all that, this is really a misconception deeply germinated in a wrong understanding of the two fields.

teja5
Download Presentation

The Age of AI: Evolution, Not Extinction, of Data Science

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. HOW AI IS ENHANCING DATA SCIENCE https://nareshit.com/courses/manual-testing-online-training

  2. AUTOMATION OF ROUTINE TASKS : AI-powered tools can automate repetitive tasks like data cleaning, preprocessing, and feature engineering, freeing up data scientists to focus on higher-level analysis and interpretation. https://nareshit.com/courses/manual-testing-online-training

  3. ADVANCED DATA ANALYSIS : AI algorithms, particularly machine learning and deep learning, can uncover complex patterns and insights from vast datasets that would be challenging for humans to identify. https://nareshit.com/courses/manual-testing-online-training

  4. IMPROVED DATA VISUALIZATION : AI can generate interactive and visually appealing visualizations, making data insights more accessible and understandable to a wider audience. https://nareshit.com/courses/manual-testing-online-training

  5. Predictive Analytics : AI-powered predictive models can forecast future trends and outcomes, helping businesses make informed decisions. The Evolving Role of Data Scientists As AI continues to advance, data scientists will need to adapt their skills and focus on: https://nareshit.com/courses/manual-testing-online-training

  6. AI Expertise : Developing a strong understanding of AI concepts, algorithms, and tools. Domain Knowledge: Deepening their knowledge of specific industries and business problems. Ethical Considerations : Ensuring that AI is used responsibly and ethically, addressing biases and potential negative impacts. https://nareshit.com/courses/manual-testing-online-training

  7. Conclusion : The future of data science is not about human vs. machine but about human + machine. By embracing AI as a powerful tool, data scientists can unlock new possibilities, drive innovation, and create a more data-driven future. https://nareshit.com/courses/manual-testing-online-training

  8. Thank You https://nareshit.com/courses/manual-testing-online-training

More Related