Even if you haven’t recognized it, you’ve benefited from deep learning. Deep learning is an advancement essential to cognitive computing, as it partners computers with humans to help businesses automate labor-intensive processes. This progressive approach allows for a more advanced interpretation of data, and the effects are astounding. With the growth of the Internet and the shift to online business, enterprises worldwide struggle everyday to make sense of the staggering amount of unstructured data. Deep learning offers a solution.

Learn How to Unlock the Hidden Value in Unstructured Data

IBM® BigInsights™ on Cloud provides Hadoop-as-a-service on IBM’s SoftLayer® global cloud infrastructure. It offers the performance and security of an on-premises deployment without the cost or complexity of managing your own infrastructure.

BigInsights is an industry standard Apache Hadoop offering that helps enterprises cost-effectively manage and analyze big data.

BigInsights on Cloud provides the following features and benefits:

• Managed operations provide 24 x 7 monitoring
• IBM Open Platform with current and stable Apache Hadoop components
• Dedicated bare metal nodes for enhanced performance, data privacy and security
• High value in-Hadoop analytics features, including Big SQL, Big Sheets, Text Analytics, Big R and Machine Learning

IBM DataWorks is a fully managed data preparation and movement service for IBM Cloud Data Services. It enables business analysts, developers, data scientists and engineers to put data to work with a simple yet powerful cloud based interface. DataWorks gives both technical and non-technical users across the enterprise a point and click solution to discover, cleanse, standardize, transform and move data in support of application development and analytic use cases.

In the domain of data science, solving problems and answering questions through data analysis is standard practice. Often, data scientists construct a model to predict outcomes or discover underlying patterns, with the goal of gaining insights. Organizations can then use these insights to take actions that ideally influence future outcomes for the better. The flow of IBM's data science methodology ensures that as data scientists learn more about the data and the modeling, they can return to a previous stage to make adjustments, iterate quickly and provide continuous value to the organization.