Teradata Launches New Internet of Things (IoT) Capabilities

Teradata, the big data analytics and marketing applications company, is making key investments in the Internet of Things (IoT) and the Analytics of Things (AoT); it is simultaneously updating its signature platforms.
Teradata is creating a global IoT analytics unit with Teradata Labs, based in the U.S, U.K, and India. It’s focusing on developing innovations in order to help organizations gain value from the Analytics of Things.
A special ops team of data scientists, data engineers and software designers has been provided with the task of building new, cloud-based analytics solutions and services in order to simplify advanced analytics, data movements and database management for the Internet of Things.
Oliver Ratzesberger, president, Teradata Labs states,
"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."
Teradata’ sAoT services feature early warning detection that uses predictive analytics in order to find and correct issues with machines and devices sooner. The continuous monitoring of assets helps in enabling new revenue opportunities along with pricing strategies, real-time monitoring and analysis of physical assets.
Additionally, Teradata has enhanced its Aster Analytics platform, adding new IoT data preparation capacities along with machine learning techniques to quickly understand and detect patterns in machine behavior.
The company states,
“Many of the machine learning models generated can be easily ported to run on virtually any operational environment that can run Java. The Teradata Aster Scoring SDK (software developer's kit) allows analysts to easily deploy Aster IoT analytic models into virtually any IoT edge servers, public clouds, and in the data center.”
Teradata is also extending IoT capacities of Teradata Listener with connectors which will make it easier to acquire as well as distributing  streaming sensor data for analysis.
Teradata states,
“These 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-premises and in the cloud.”
The IoT Analytics unit is further applying machine learning and advanced analytics techniques to system administration and DevOps tasks. They are applying machine learning to Teradata systems in order to solve complex performance and workload congestion problems in seconds.
The new technologies and services from Teradata will be available starting in the second quarter of 2016.