???????? ???????? ???? ?????? ?????????????? ???????? ?????????????? ???????????? ???? 2023? — according to GPT

Shortly after the huge hype around?OpenAI?#ChatGPT?and one year after my previous post asking?#GPT-3 what the future of?#datascience?holds for 2022, now I asked it again. See what the?#AI?says this time:

???????? ???????? ???? ?????? ?????????????? ???????? ?????????????? ???????????? ???? 2023??

See the AI's forecast after the image!

1. Automation and AI-driven analytics: Automation and AI-driven analytics will continue to play a major role in data science trends in 2023. This will allow organizations to process and analyze large amounts of data quickly and accurately, enabling them to make better decisions and increase their efficiency.?

2. Augmented analytics: Augmented analytics is the combination of machine learning and natural language processing to help data scientists visualize data quickly and effectively. This technology will allow data scientists to quickly identify and explore patterns and trends in data, enabling them to make faster and more informed decisions.?

3. Explainable AI: Explainable AI is the ability to explain the results of a data science model to non-technical audiences. This technology will help bridge the gap between data scientists and non-technical decision makers, allowing them to understand the results of data science models and make better decisions.?

4. Edge computing: Edge computing will become increasingly important in 2023, as more and more devices will be connected to the internet and data will need to be processed in real-time. This will allow data scientists to quickly process and analyze data from devices at the edge of the network.?

5. Data privacy and security: As more and more data is collected, stored and analyzed, the importance of data privacy and security will become increasingly important. Data scientists will need to ensure that data is secure and that privacy laws are adhered to.

#languagemodels?#nlp?#artificial?#networkscience?#milanjanosov