networks to solve complex problems
Posted: Sat Jan 18, 2025 7:50 am
If the data we have is poor, the outputs we receive will not be of much use either. This is true in all fields, whether we are talking about healthcare or marketing : you cannot have effective predictive analysis of your audience if the information you have now is not of quality. But now we need to explore another point that has impacted Big Data, I'm talking about Deep Learning , that is, the sub-branch of Machine Learning that deals with training neural . If you don't know, neural networks are the basis of how AI works.
This technology has revolutionized data analysis, allowing for deeper germany consumer mobile number list understanding than the analysis methods that were used 10 years ago. One of the main potentials of Deep Learning lies in its ability to automatically extract the most relevant features from data. Furthermore, thanks to these technologies, which have made it possible for some AI programs to understand our language, we have software capable of analyzing texts, understanding their meaning, translating them and even creating new ones. ( Just think of ChatGPT or Bard ) Not only can deep learning use data to understand human language, it can also process images, videos, and most importantly audio , making it possible to create products like Amazon’s Alexa and Apple’s Siri.
But also the creation of AI-based tools that allow you to create images through the use of prompts, such as Midjorney and Dall-E. Now we have to analyze one last point of great impact between AI and Big Data, I'm talking about Cloud Computing . When we talk about Cloud Computing we are referring to technologies capable of storing, managing and processing large datasets without having to invest in expensive local infrastructures. Two clear examples are Amazon Web Services and Google Cloud: two solutions that allow small and medium-sized businesses to manage and archive large amounts of data at a low cost.
This technology has revolutionized data analysis, allowing for deeper germany consumer mobile number list understanding than the analysis methods that were used 10 years ago. One of the main potentials of Deep Learning lies in its ability to automatically extract the most relevant features from data. Furthermore, thanks to these technologies, which have made it possible for some AI programs to understand our language, we have software capable of analyzing texts, understanding their meaning, translating them and even creating new ones. ( Just think of ChatGPT or Bard ) Not only can deep learning use data to understand human language, it can also process images, videos, and most importantly audio , making it possible to create products like Amazon’s Alexa and Apple’s Siri.
But also the creation of AI-based tools that allow you to create images through the use of prompts, such as Midjorney and Dall-E. Now we have to analyze one last point of great impact between AI and Big Data, I'm talking about Cloud Computing . When we talk about Cloud Computing we are referring to technologies capable of storing, managing and processing large datasets without having to invest in expensive local infrastructures. Two clear examples are Amazon Web Services and Google Cloud: two solutions that allow small and medium-sized businesses to manage and archive large amounts of data at a low cost.