NLP
NLP
Many industry figures indicate that the volume of data doubles every two years; however, this time frame can be further shortened in the future. Text data makes up the majority of this data (about 79 percent) NLP stands for natural language processing, and it is the study of successful communication with oneself and others. Therapists who have successfully worked with…
SQL
SQL
The important business trends influencing the growth of the SQL market between 2023 and 2031 are detailed in the evaluation of the market. SQL’s future in data science seems optimistic, as it evolves to suit increasing analytical demands. SQL remains a crucial tool, even after being enhanced with new capabilities such as machine learning integration and large data processing. Emerging…
Machine Learning
Machine Learning
According to the US Bureau of Labor Statistics, the field of data science research is anticipated to expand at a rate of 22% between 2020 and 2030. This suggests that data scientists can still be assisted by machines, but that their workload can be lessened with the use of artificial intelligence (AI) and other automation techniques. Advances in artificial intelligence,…
Deep Learning
Deep Learning
When a robot defeated a human player in the well-known game of AlphaGo, deep learning (DL) became an overnight “star.” It is commonly known that deep learning techniques and training can “humanize” machines. The rapid advancement of deep learning and machine learning (ML) technology is responsible for many of the advanced automation features currently present in enterprise AI platforms. In…
Generative AI
Generative AI
In the next seven years, the value of the AI industry is expected to grow by more than 13 times. By 2026, the US AI market is expected to grow to $299.64 billion. Through 2030, the AI market is expected to grow at a compound annual growth rate of 38.1%. Up to 97 million people will be employed in the…