Automated machine learning

<h5>What is automated machine learning?</h5> <p>Automated machine learning (AutoML) is the process of solving real-world challenges by automating AI-based <a adhocenable="false" href="/content/cognizant-dot-com/us/en/glossary/machine-learning.html" target="_self">machine learning</a>—which uses statistical techniques or algorithms to enable a computer to become better at what it does. AutoML runs the entire machine learning gamut end to end, from raw dataset to deployable machine learning model.</p> <p>AutoML software automates multiple machine learning functions, including discovering patterns and structures, finding unusual data points, predicting values and categories, and solving a variety of problems.</p> <h5>What are the business benefits of automated machine learning?</h5> <p>Among the multiple business benefits of AutoML are:</p> <ul> <li>Allowing businesses to consume and make sense of very large amounts of data from a variety of sources.</li> <li>Enabling non-experts to easily implement machine learning models, techniques and solutions, freeing an organization’s data scientists to focus on more complex problems.</li> <li>Accelerating the delivery of simpler solutions that often outperform manually designed models.</li> <li>Solving more business problems faster by automating manual, tedious tasks—such as comparing dozens of models to unearth insights and predictions—that would otherwise require weeks or months of data scientists’ time.</li> <li>Improving data science ROI by leveraging the institutional knowledge of data scientists and avoiding the time and cost required to capture value.</li> </ul>

<p><br> Back to <a href="/content/cognizant-dot-com/us/en/glossary.html" target="_self">glossary</a></p>