Post by account_disabled on Mar 11, 2024 1:16:32 GMT -5
According to AI pioneer Andrew Ng, the next decade will be marked by data-centric artificial intelligence. This means that we will be able to train algorithms without needing millions of "noisy" examples, because 50 well-done ones will be enough. It will be like this? Alessio Pomaro Alessio Pomaro 16 Sep 2022 •6 min read Will Small Data be the future of Data Science? Will Small Data be the future of Data Science? In recent years, we have often heard about " Big Data ". In fact, with increasingly higher and cheaper storage capacity and computing power, it is becoming increasingly easier to collect and process enormous quantities of data to generate forecasts and enrich information.
Fueled by the successes of big tech like Google, Amazon and Facebook, substantial progress India Mobile Number Data has been made in large-scale data analytics , with data-driven decision making becoming a priority for many brands. We have witnessed gigantic neural networks with billions of parameters, infinite data feeds processed in real time… and petabytes of information of all kinds stored in enormous server farms. The evolutions have been abundant and exciting. To be sure, such big data trends will persist. Indeed.. as long as there is data to collect, we will find new ways to use it! Natural language processing ( NLP ), for example, has matured, but for video analysis it remains an open parenthesis, still waiting for technological advances to stimulate developments.
The world outside Silicon Valley Outside of Silicon Valley, however, there is a world that arguably tends to be overlooked. A world made up of millions of companies that are not Big Tech, but that still need innovative solutions starting from their small data sets . Some concrete examples could be related to the prediction of machinery maintenance costs, the identification of pathologies starting from x-ray images, or the detection of anomalies on production lines. These are important tasks, but which often rely on little data. To give another example, let's think about the identification of rare diseases through algorithms. A solution certainly comes from the creation of artificial data using, for example, GAN networks , but a different point of view is probably needed. From Big Data to Small Data: a change of perspective From Big Data to Small Data: a change of perspective A paradigm shift Andrew Ng , pioneer of Artificial Intelligence and co-founder of Coursera ( as well as having founded Google Brain, taught at Stanford ) states that probably.
Fueled by the successes of big tech like Google, Amazon and Facebook, substantial progress India Mobile Number Data has been made in large-scale data analytics , with data-driven decision making becoming a priority for many brands. We have witnessed gigantic neural networks with billions of parameters, infinite data feeds processed in real time… and petabytes of information of all kinds stored in enormous server farms. The evolutions have been abundant and exciting. To be sure, such big data trends will persist. Indeed.. as long as there is data to collect, we will find new ways to use it! Natural language processing ( NLP ), for example, has matured, but for video analysis it remains an open parenthesis, still waiting for technological advances to stimulate developments.
The world outside Silicon Valley Outside of Silicon Valley, however, there is a world that arguably tends to be overlooked. A world made up of millions of companies that are not Big Tech, but that still need innovative solutions starting from their small data sets . Some concrete examples could be related to the prediction of machinery maintenance costs, the identification of pathologies starting from x-ray images, or the detection of anomalies on production lines. These are important tasks, but which often rely on little data. To give another example, let's think about the identification of rare diseases through algorithms. A solution certainly comes from the creation of artificial data using, for example, GAN networks , but a different point of view is probably needed. From Big Data to Small Data: a change of perspective From Big Data to Small Data: a change of perspective A paradigm shift Andrew Ng , pioneer of Artificial Intelligence and co-founder of Coursera ( as well as having founded Google Brain, taught at Stanford ) states that probably.