A new generation of API provider is packing the power of PhD-grade science, natural language processing, deep learning, image recognition and the semantic Web into something as simple as a basic RESTful API call. This makes it possible for organizations of all types and sizes to benefit from the experience, expertise and intelligence of a team of PhDs—without having to actually find and employ them. How is this all possible? In this case study from ProgrammableWeb, you can see the source code behind one company’s API implementation.

Today’s mobile workforce demands connectivity for a growing number and increasing variety of devices from laptop to smartphone, tablet, wearables and whatever will shortly come next. Additionally, users want to connect from anywhere, using any network, sans the cumbersome calls to VPNs.

This Battlecard gives IT the plans to win the command and control employee mobility demands:

• Phase One: Battlefield Basic Provisions – MDM & MAM
• Phase Two: BYOD and Containerization
• Phase Three: Full Enterprise Mobility Management

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

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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.

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Life revolves around prediction—for example, the route you take to get to work, whether to go on a second date, or whether or not to keep reading this sentence are all forms of prediction. Predicating our future is very much tied to progress. We use it to help us plan our lives so we can increase our likelihood of success. The problem is that the human mind cannot possibly process all of the insight flowing from big data. Machine learning is the answer to this problem, through its capacity to augment our decision making in the moment to deliver transformative business outcomes. We are already seeing machine learning powered by Apache Spark changing the face of innovation at IBM.

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IBM Cognos Analytics delivers a personal approach to analytics by empowering business users to solve individual or workgroup challenges on their own while providing IT with a proven solution that can be easily scaled as business needs grow.