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IoT success also requires getting ready for IoT deployments. Although many organizations have management commitment for IoT, they will also need to think through data handling and management issues as well as what kinds of analytics to perform and where to utilize analytics across IoT networks. It will mean getting all stakeholders on board early

This checklist has reviewed a number of key suggestions for evolving the data architecture for an IoT environment. Visualize the intent of the IoT network and use tools that help continuously refine the network’s topology and map out the data flows. Develop a metadata and services catalog that logs information to simplify device integration.

Today’s big data analytic solutions are making that possible in two ways: first, by offering out-of-the-box, end-to-end solutions for managing your data across a wide spectrum of use cases; and second, by lowering the barrier to entry with user-friendly solutions. That’s exactly what Qlik® and Cloudera provide for your business. With this powerful partnership, you’ll

Machine learning holds the promise of automating decision-making, transforming industries and creating new markets. Yet adoption remains limited by uncertainty related to a rapidly changing technical landscape, obscurity of best practices, and difficulty separating hype from reality. Without focus on strategy and practical business problems, it´s all too easy to embark on expensive “AI” science