Machine learning (ML) is split in two distinct phases: training and inference. Training deals with building the model, i.e. running a ML algorithm on a dataset in order to identify meaningful patterns. This often requires large amounts of storage and computing power, making the cloud a natural place to train ML jobs with services such […]
0 CommentsThe capacity to foresee the future would be an incredible superpower. At AWS, we can’t give you that, but we can help you use machine learning to forecast time series in a few steps. The goal of time series forecasting is to predict future values of time-dependent data such as weekly sales, daily inventory levels, […]
0 CommentsMachine learning definitely offers a wide range of exciting topics to work on, but there’s nothing quite like personalization and recommendation. At first glance, matching users to items that they may like sounds like a simple problem. However, the task of developing an efficient recommender system is challenging. Years ago, Netflix even ran a movie […]
0 CommentsReinforcement Learning is a type of machine learning that works when an “agent” is allowed to act on a trial-and-error basis within an interactive environment, using feedback from those actions to learn over time in order to reach a predetermined goal or to maximize some type of score or reward. This stands in contrast to […]
0 CommentsIn the last few years, machine learning (ML) has generated a lot of excitement. Indeed, from medical image analysis to self-driving trucks, the list of complex tasks that ML models can successfully accomplish keeps growing, but what makes these models so smart? In a nutshell, you can train a model in several different ways of which […]
0 CommentsLeading Market Research Firm Concludes Enterprise to Become World’s Data Steward, Healthcare Primed to Become the Fastest Growing Sector CUPERTINO, CA – The global datasphere1 could grow to 175 zettabytes by 2025, and industries such as Financial Services, Manufacturing, Healthcare, and Media and Entertainment are helping to define this new era of data growth. This is according […]
0 CommentsWaveMaker 10 offers the most advanced low-code platform, providing top-notch application performance, a hybrid coding experience, and robust security capabilities MOUNTAIN VIEW, CA – November 28, 2018 – WaveMaker, Inc., the leading low-code powered modernization platform, today released WaveMaker 10, its enhanced platform for enterprises seeking high-impact returns from their modernization and digital transformation projects. […]
0 CommentsTime series data can bring value to organizations in many ways, beyond simply metrics to help them understand how their infrastructure is performing. It also can help illuminate other issues that can have an impact on performance, such as customer usage. In this video—the first in a series of four—Chris Churilo, director of Product Marketing […]
0 CommentsFor organizations undergoing digital transformation today, modernizing the existing environment can present serious challenges when it comes to security. Whether you’re dealing with a transition from legacy to cloud or hybrid models, or shifting from ITIL and waterfall methodologies to DevOps, the increasing number of technologies and complexity mean you need to rethink your security […]
0 CommentsCreate Your Own Services with Computing at the Edge DALLAS—November 27, 2018—StackPath, a leading platform of secure edge services, today announced StackPath EdgeEngine™, a simple yet powerful serverless computing service that lets developers run code at the cloud’s edge without a server, virtual machine, or container. “The edge is the new frontier in cloud computing,” said […]
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