Industrial equipment manufacturers choosing between Microsoft Azure IoT and AWS IoT for their industrial IoT platform have several critical decisions to make before building their solutions.
Industrial equipment manufacturers choosing between Microsoft Azure IoT and AWS IoT for their industrial IoT platform have several critical decisions to make before building their solutions.
Monetizing your real-world data requires an up-to-date fleet of remote devices. Here’s what it takes to scale and manage everything from sensors to gateways.
Today we announced that we have signed an agreement with Cognizant to acquire Bright Wolf. Here’s why.
Bright Wolf will enrich Cognizant’s smart products offering and expertise in architecting and implementing IIoT solutions.
Integrating data into the product management decision cycle is critical for long term product success. Knowing where and what to look for can be difficult.
A deeper dive for making smart IoT data pipeline platform technology choices upfront to help you reduce implementation risk today and provide flexibility for satisfying future requirements.
Read our experience report with the latest IoT data science tools from Amazon Web Services (AWS) and Microsoft Azure and their application in the context of industrial enterprise IoT solutions.
Learn how to identify, develop, and test hypotheses for transforming industrial IoT data into actionable business insights through an iterative approach to IoT data science.
As the owner of IoT development, you’ll need to serve stakeholders across the enterprise. A key ingredient for meeting their disparate needs is an adaptable IoT data pipeline platform.
Industrial IoT systems have many stakeholders – each with their own goals, making discovering and balancing these needs a key challenge to creating a commercially viable IoT solution.
Bright Wolf helps industrial enterprises increase business value by transforming operations and organizations with digital strategy, technology, solution delivery, and team enablement.
