Competitive markets put new demands on the ways business leaders need to derive meaning from growing pools of data. When it comes to visualizing business intelligence and analytics, data plug and chug won’t cut it. What will? True business intelligence demands an informed data collection strategy.
What’s the secret to teaching children to read? Align researchers and teachers to inform better assessment tactics. U of M IGDILab experts worked with us to create software that implements a leading early childhood assessment suite in the modern classroom, producing actionable insights into student performance.
What’s the secret to overcoming IoT security challenges? Non-passive data collection and ensuring adherence to typical security protocols are key steps. It’s not necessary to reinvent the wheel, but seeking help from a third party monitoring service may help scale security efforts to a growing IoT solution.
Why do so many business leaders hesitate before launching IoT initiatives in their company despite the real potential to benefit from an IoT-enabled business model. Many have difficulty finding successful examples of the benefits of internet of things after which they can model IoT solutions for their own purposes.
Is distributed computing a fit for your project? Depending on a business’ goals, one type of cloud implementation might be a better fit compared to the others. For some teams minimizing rework and maintaining legacy code is a top priority. For others, scaling the system automatically is more important. What variables can help businesses choose?
Businesses building a new solution in the cloud must make a number of decisions before they can begin. Meanwhile, teams migrating to the cloud must weigh a different set of considerations. Explore 4 key steps, tactics to choose a provider and the phased model some businesses use during development or a data migration process in the cloud.