Tech Insights

IoT: Turn Potential into Real Business Value

IoT, or the Internet of Things, opens up a world of possibilities for new economic and business value creation. Yet investment by enterprises across industries in IoT also demands the adoption of new approaches to information architecture, application development, and data science.

IoT Next Steps

IoT is increasingly a business opportunity enabled by IT systems and expertise, making it imperative for all levels of an organization to understand its challenges and benefits.

IoT On-Demand Presentation

Any IoT project team looking to succeed must concern itself with how to ingest machine and sensor data, how to build actionable models, and how to react to the output of models in real time. A good starting point for them is learning how to operationalize IoT apps on Pivotal Platform.

View this on-demand seminar to learn how to

  • Collect streaming IoT data
  • Build and train machine learning models in real time
  • Score streaming data in real time in an application

IoT Demo

By looking at connected car functionality and architecture, enterprises can get a better understanding of all IoT platforms. There is a fairly consistent set of IoT components—sensors, mobile or device apps, big data stores, data science algorithms, and analytical output with a platform-as-a-service (PaaS) layer underneath. Take a peek under the hood of the Connected Car. See what it does and how it applies to IoT systems.

Pivotal Solutions for IoT

Here’s how Pivotal helps organizations get the most from IoT technology investments:

Developers can quickly build new IoT applications and features with a cloud-native platform coupled with Agile application development methodologies for continuous software delivery.

Engineers can develop resilient IoT architectures that harness dynamic pipelines to move data and analytics between devices, from devices to local gateways, and from local gateways to the cloud. And back.

Data scientists can store, manage, and analyze large-volume IoT data in modern data platforms that support machine learning at scale to uncover valuable predictive insights.

IoT Resources

No Rocket Science Required

Dale Robinson, Arity LLC, describes developing +14,000 message p/second IOT systems

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