What role does artificial intelligence (AI) play in the 4IR?

I thought the most powerful technology that is created based on the human neocortex is AI. AI and streaming multimedia have a close relationship since AI is utilized to enhance the performance and quality of streaming multimedia services.

 By utilizing AI algorithms to examine and refine the encoding, compression, and transmission of multimedia content, the quality of video and audio can be improved, buffering can be reduced, and streaming speed can be increased. AI is also employed to customize content recommendations and user interfaces of streaming services based on the user's viewing history and individual preferences. 

Moreover, AI-powered virtual assistants, chatbots, and voice recognition technologies are being incorporated into streaming platforms to provide a more seamless and interactive user experience.

Here are some key aspects of AI's involvement in 4IR

1. Data Analysis and Decision-making: Data analysis involves the manipulation and refinement of raw data, resulting in the extraction of valuable and applicable insights that aid businesses in making well-informed choices. AI systems rely on vast amounts of data to learn, train, and improve their performance. Data analysis plays a crucial role in preparing and processing the data, cleaning it, handling missing values, and transforming it into a suitable format for AI algorithms to work effectively.

And decision-making is the process of making choices by identifying a decision, gathering information, and assessing alternative resolutions. AI algorithms can analyze historical data to make predictions about future outcomes. This predictive capability enables organizations to make proactive decisions based on anticipated scenarios, such as forecasting customer demand, identifying market trends, or optimizing resource allocation.

2. Healthcare and Biotechnology: 

In the field of biotechnology, AI systems are frequently employed to analyze extensive datasets and provide predictions or suggestions that can have notable ramifications for public health, environmental well-being, and other critical domains. AI has the capability to handle diverse clinical trial datasets, facilitate virtual screening, and process massive volumes of information. This not only helps in reducing clinical trial expenses but also enables the acquisition of insights that would otherwise be inaccessible, which can then be incorporated back into the drug development process.

References

Kelley, K. (2023, June 9). Mastering data analysis: Process, types, methods, and Techniques. Simplilearn.com. https://www.simplilearn.com/data-analysis-methods-process-types-article

Dartmouth, U. of M. (n.d.). Decision-making process. UMass Dartmouth. https://www.umassd.edu/fycm/decision-making/process/