Image by Brian Penny from Pixabay With the continuous influx of new technologies, the entertainment industry has been witnessing a constant shift in its preferences for mediums to reach out to maximum audience. And it seemed to have continued an upward trend, especially in the last couple of decades. While integrating artificial intelligence (AI) as the main component, as the technology evolves more, and that is bound to happen, the possibility of new mediums could make it more difficult for traditional modes to survive. Sitting in a theatre for anywhere between 2 and 3 hours, coupled with hours of travel, just to watch a full-length movie could become boring and exhausting in future. The new generation, trained on using AI-based tools for everything and always looking for quick fixes, may run out of patience investing so much time just for a little entertainment. And how about others – TV, webs series, social media videos? They do not require one to spend a lot of time, but the...
Before making predictions about stock price movements, an expert will consider various economic indicators, market sentiment, past performance and trading volume. An effective generative AI tool must take into account all these important factors before recommending a stock for investment. These AI-based predictive models are built on historical data, but should also be equipped to conduct sentiment analysis based on current market conditions – one of the most essential elements in share market trading. These GenAI models learn from historical data fed into them to recognise the complex patterns such as market trends, and other factors to establish their correlation with the price movements. They also perform sentiment analysis by extracting important information from news articles and social media posts for better forecast. The models, thus trained on the training data (historical data) and enhanced with sentiment analysis, can show whether a stock will move upwards or will go ...