Teradata recently announced the creation of a global IoT Analytics unit within Teradata Labs that is focused on developing tools to derive the greatest value from the Analytics of Things (AoT). The special operations team will consist of data scientists, data engineers, and software designers who will be tasked with building new, cloud-based analytic solutions and services to simplify Advanced Analytics, data movement, and database management for the Internet of Things.
Teradata’s President Oliver Ratzesberger explains: “The smartest people at Teradata are laser focused on building the best technologies to power the Analytics of Things. With this announcement, we are making it easier for our customers to move sensor data around, optimize data management systems to deal with the massive volumes of data, and run real-time, advanced analytics against streams of IoT data. We’re giving our customers powerful tools and technologies to analyze IoT data for new insights, applications and use cases.”
The IoT Analytics unit will apply machine learning and Advanced Analytics techniques to system administration and DevOps tasks. In addition, they are applying machine learning to Teradata systems in order to solve complex performance and workload congestion problems in a matter of seconds. Teradata’s evolving AoT services deliver the following benefits:
- Early warning detection that uses predictive analytics to find and correct issues with machines and devices sooner
- Continuous monitoring of assets to enable new revenue opportunities and pricing strategies
- Real-time monitoring and analysis of physical assets, allowing organizations to act upon real-time insights
Teradata Aster Analytics answers important questions using IoT data. Pre-built analytics functions included inside Aster include new IoT data preparation capabilities and machine learning techniques to help user detect patterns in machine behavior. These functionalities can be used to mitigate risk, reduce maintenance cost and downtime, and increase productivity.
Teradata is also extending the IoT capabilities of Teradata Listener with connectors that make it easier to acquire and distribute streaming sensor data for analysis. Typically complex and labor intensive, the new connectivity options make it easy and fast for Listener to deliver new data streams of sensor data to the Teradata Unified Data Architecture either on-premise or in the cloud.
Check out these additional resources:
- The Coolest Data Analytics and Business Intelligence CEOs of 2021 - September 17, 2021
- The Coolest Data Science and Machine Learning CEOs of 2021 - September 17, 2021
- The 16 Best Predictive Analytics Software and Tools for 2021 - September 15, 2021