The Edge Analyzer is a portable self-contained engine that enables customers to deploy predictive analysis on edge devices for low latency applications in disconnected environments or close to data sources.
The new Edge Analyzer is available as part of Falkonry’s leading “pre-packaged” machine learning system, Falkonry LRS.
Falkonry LRS is now the industry’s first predictive operations product that enables operations teams to create and deploy predictive analytics in the cloud or on-premises or on the edge – without requiring data scientists.
Falkonry LRS enables operations teams to discover, explain and predict behaviors that matter without requiring data scientists.
The automated feature learning solves the most complex problem of applying machine learning on time series data saving time and building accurate predictive models.
Attendees will see how powerful machine learning models can be deployed on lightweight edge devices to analyze large number of signals and predict complex conditions.
This is an excerpt from a story delivered exclusively to Business Insider Intelligence IoT Briefing subscribers.
A dedicated space to showcase a number of 5G applications could be a great selling point for larger enterprises, especially when dealing with potentially conservative upper management that could want to see some classes of solutions in person.
Demonstration centers and field labs will be useful selling points for 5G, but Sprint and other telecoms should expand them to include varied settings and applications for the standard.
As Sprint deploys its 5G network — it's aiming to have 9 cities up and running by the end of 2019 — it should communicate real-world case studies and third-party testimonials to prospective customers so as to best position its network as a key asset for companies integrating 5G into products and solutions.
Business Insider Intelligence's 5G in the IoT report examines how the introduction of 5G is poised to transform portions of the IoT ecosystem.