Data analytics firm Teradata today created a specialised unit that would focus solely on internet of things (IoT). The Global IoT Analytics unit, as the company call it, will be developing new, cloud based analytic solutions and services for the IoT industry.
The speacial-ops team was created within Teradata Labs and will be based out of its offices in the United States, UK and India, the company said in a statement.
“In today’s age of growing competition, Analytics of Things (AoT) is essential for companies looking to derive value from the enormous volume of data collected within the organization. This is especially true for Indian companies. With the creation of the Global IoT Analytics unit, Teradata aims to continue providing customers with powerful tools to not only make sense of the huge volumes of data collected but also analyse them in real time to derive new insights, information and findings.” said Sunil Jose, Managing Director, Teradata India.
“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,” said Oliver Ratzesberger, president, Teradata Labs.
The new technologies and services from Teradata will be available starting in the second quarter of 2016.
The company offers multiple IoT platforms aimed at various industry verticals.
Teradata Aster Analytics answers the powerful “why did this happen” question using IoT data. The pre-built analytic functions include new IoT data preparation capabilities and machine learning techniques to quickly understand and detect patterns in machine behavior. This can be used to mitigate risk, reduce maintenance cost and downtime and increase productivity. Aster Analytics makes it easier and faster to find meaningful and relevant insights hidden in massive volumes of IoT data with millisecond performance.
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.
Faster Collection and Distribution of IoT Data Streams from Teradata Listener Enhancements Teradata is extending the IoT capabilities of Teradata Listener with connectors that make it easier to acquire and distribute streaming sensor data for analysis. Capturing and managing continuous streams of data is normally complex and labor intensive. 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 at TeraData is further applying machine learning and advanced analytics techniques to system administration and DevOps tasks.