Internet of Things (IoT) Analytics
Without a solid foundation for an IoT deployment, organizations won't be able to extract the valuable data that leads to actionable insights to ensure business success.
The number of connected devices continues to grow, and so do notification systems. Without AI, businesses and users miss out on critical operational insights they can gather from IoT data alerts.
Understanding data with the help of IoT deployments can not only help businesses monetize their data, but also prevent device failures in the future, especially where cold chain stores are concerned.
Organization can use edge AI for many different functions, but the core factor is if it needs an IoT application to analyze data at rapid intervals for immediate decision making, then it needs edge AI.
The first step to ensure a digital transformation's success is to adopt a planning process with specified business goals that can get the most out of new technology, including IoT.
IoT sensors and predictive analytics in the healthcare industry will change people's lives by identifying big picture patterns beyond any one individual's health.
IT pros can lead their organization in a successful digital transformation by prioritizing customer experience and capitalizing on IoT data-driven insights to make business decisions.
Blue Prism's Chief Evangelist, Pat Geary, explores connected RPA and how organizations use it to generate effective full-time equivalent savings and more productive work environments.
IoT tech can help those in enterprise asset management get a better grip on data, enabling them to optimize the use of resources and automate processes.
All data must play a role in organizations hoping to keep a competitive edge with an IoT deployment. Vertica's Joy King explains how unstructured data will seem small compared to IoT data used for ...
Data architecture must keep up with the changes that new technologies -- including 5G and IoT -- bring to the edge. Dheeraj Remella explains how smart streaming is essential for data processing.
Some IoT data is left to sit in data lakes, undermining performance. Co-Founder and CEO of Dremio, Tomer Shiran, discusses how organizations can migrate this unused data into analytics tools.
Managing IoT data requires IT pros to understand when to use a specialized or general-purpose tool. OSIsoft's Richard Beeson explains how the difference between information and data determines the ...
As prices and geopolitical trends continue to change, oil and gas companies are experiencing increased stress on costs. To help solve these issues, organizations should consider sensor data ...
Organizations use traffic data, such as NetFlow, sFlow and IPFIX, to send IoT information within a network flow. This provides benefits such as industry accepted data formats and improved IoT ...