Data science has been deeply integrated into organizations' culture across all industries. From predictive analytics with advanced algorithms to predict future and forecast trends to recommendation systems and data-driven decision-making, the role of data science has been really transforming for organizations in all sectors.
For example, generative and analytical AI are used together to predict disease outcomes. Delphi-2M, a recent model that has been trained on health records of 400,000 people in the UK and validated on 1.9 million in Denmark, can predict a person’s risk for over 1000 diseases decades in advance.
Another major application of AI in data science is the automation of repetitive tasks like data cleaning, feature engineering, anomaly detection, etc. This means the use of AI corresponds to more available time for data scientists to focus on more creative and strategic work. Also, AI systems can analyze streaming data and optimize operations, detect fraud, personalize service, adjust prices dynamically, and so on.
In the following infographic, we highlight the growing importance of AI and its applications in data science. Check out the following infographic to learn about:
Enhance your knowledge of AI in data science with this informative infographic.
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