Get in on the widespread excitement over Apache Spark. Check out the highlights from a recent SparkInsight CrowdChat that tackled six key questions about this next-generation, cluster-computing, runtime processing environment and development framework for in-memory processing of advanced analytics.
An increasing number of use cases for big data and analytics can be Apache Spark's sweet spots. Take a look at several low-latency applications in which Spark is well-suited for analysis of cached, live data.
Many machine-learning-as-a-service (MLaaS) offerings have natural language processing at their core to support applications such as concept expansion, language identification, machine translation, user modeling, visualization rendering and more. Discover how MLaaS boosts productivity by uncovering
Watson solutions aim to enhance, scale and accelerate human expertise, targeting a wide range of complex challenges in the world today. Watson Analytics itself will understand, perceive and relate information at a human level for your business problems, combining analytical insights with your
Machine learning is a tool for making humans more productive. Machine learning methods vary in degrees of automation. Regardless of how one performs machine learning, data scientists must still prepare the data sets, specify the algorithms, execute them and interpret the results. The process of
According to Gartner, digital business is the “creation of new business designs by blurring the digital and physical worlds." There are three key foundational shifts that are making the digital business phenomenon real. Interestingly, these tectonic shifts are also driving faster adoption of
In this era of big media, more and more digital photos are, by default, being uploaded to the cloud soon after they’re captured. But who has the time and, considering the swelling magnitudes of video and photo contents in the world, where would we ever find enough humans to review, curate and
As 2014 draws to a close, the proverbial elephant that we call big data is smarter, more sensitive and more agile than ever. It’s got a much more varied array of advanced analytics riding on its broad back. More than that, it’s performing these amazing feats as a team player within a growing troop
Computational modeling has revolutionized all branches of the physical sciences, engineering and design. Leading-edge work in these fields is pushing new computational frontiers at nano scales. Computation-centric methods allow researchers to model, simulate and assess a much wider array of options