Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
Resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. Things like growing volumes and varieties of available data, computational processing that is cheaper and more powerful, and affordable data storage.
All of these things mean it's possible to quickly and automatically produce models that can analyze bigger, more complex data and deliver faster, more accurate results – even on a very large scale. And by building precise models, an organization has a better chance of identifying profitable opportunities – or avoiding unknown risks.
Being able to identify more profitable opportunities for your organisation based on data and knowledge will ensure the ultimate success and sustainability of your organisation. Many large renowned organisations have not managed to stay abreast of technology and its ever-changing nature and have since closed their doors.
Once we, at STRIDE, fully understand your organization's objectives and goals, our team of experts will make use of the latest advancements in technology to ensure that your goal is achieved and maintained sustainably through the use of machine learning and AI methodologies.