HPE Haven OnDemand is a diverse collection of APIs for interacting with data designed with flexibility in mind, allowing developers to quickly perform data tasks in the cloud. See why it is a simple path to reason and insight for data science and cognitive computing.
Data science and cognitive computing are 2 leading contemporary analytics computing paradigms. Though distinct areas of specialization, both models entail considerable overlap in technologies and tools, and often share similar goals, outcomes, and aspirations. Both archetypes are data-driven, are often large scale, and increasingly rely on high performance computing.
Data science encompasses machine learning and other analytic processes, statistics and related branches of mathematics, in order to extract insight from data and use it to tell stories. Data science employs all sorts of different tools from a variety of related areas, including data mining, artificial intelligence, and Big Data.
Cognitive computing aims to make human kinds of problems computable. Cognitive computing systems are probabilistic by nature, able to deal with uncertainty and fluid circumstance, and can move beyond simply providing answers to generating hypotheses.
Both data science and cognitive computing include tasks as relatively simple as the classification of images and as incredibly complex as using unstructured input data to design a system to beat humans at Jeopardy.
As such, there are a number of ways to approach problems in these realms, depending on problem definitions and goals. Given this gamut of potential exercises, is there some repository of tools which could be leveraged to solve problems in the cognitive computing and data science realms? This article introduces HPE Haven OnDemand for just such tasks.
HPE Haven OnDemand is cloud services platform which simplifies how you can interact with data, allowing it to be transformed into an asset anytime, anywhere.