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IoT and Digital Engineering / Solution
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IoT and Digital Engineering
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Bringing Together IoT and Digital Engineering to Create Rich Experiences
Learn how TCS’ solutions powered by IoT, artificial intelligence, and digital engineering help build purpose-driven, resilient, and sustainable enterprises.
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Connect with industry leaders at the event to learn how cutting-edge technologies like AI, industrial IoT, and low-code platforms drive growth and efficiencies.
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Reusing and recycling electric vehicle batteries helps make EV ownership more affordable and promotes renewable energy, thus fostering a sustainable future.
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Highlights
While processing IoT/IIoT data, a challenge is having to work with small data sets, lack of labels and training samples, unbalanced data sets, missing or irregular data.
TCS Connected Universe Platform Analytics can help with its out-of-the-box algorithms for data preparation.
From quick AI model development to flexible deployment on any cloud or edge environment, the benefits are many and can help you get to IoT-based digital transformation faster.
CHALLENGE
In the IoT/IIoT world, while dealing with large volumes of data from various kinds of devices, we often face some hard technical problems such as working with small data sets, lack of labels and training samples, unbalanced data sets, missing or irregular data, noisy data and so on. To deal with the challenges faced in processing IoT data, a smart and efficient analytics tool is required that can enable faster data insights without having to worry about these complexities.
SOLUTION
TCS Connected Universe Platform Analytics is an advanced analytics component of TCS Connected Universe Platform, our IOT platform. Generating insights, predictions, and prognosis on IoT data are the critical success factors for IoT-based digital transformation projects and TCS Connected Universe Platform Analytics is particularly suited for these objectives. Its key features are:
Out-of-the-box algorithms for data preparation—transformations, data filtering, noise cleaning, missing data imputation, feature extraction, etc.
Advanced analytics on sensor-generated time series data and other rich data such as videos and images
Focus on unsupervised machine learning techniques
Out-of-the-box library of algorithms for diagnostic, predictive and prognostic analytics
Seamless testing, training and deployment of models to production
Figure 1 - A table on TCS Connected Universe Platform Analytics, an advanced analytics component of TCS Connected Universe Platform.
The use cases of TCS Connected Universe Platform Analytics comprises failure prediction, equipment health estimation, product quality tracking, and predictive maintenance. These use cases are enabled thanks to TCUP’s ready-to-use algorithms, quick AI model development, and flexible deployment on any edge or cloud environment, to name a few key capabilities.
BENEFITS
Here’s what you stand to gain when you leverage TCS Connected Universe Platform Analytics:
- Sophisticated data preparation: Accurate handing of unbalanced, unlabeled and noisy data
- Ready-to-use algorithms: Out-of-the-box capability to enable the entire analytics pipeline
- Quick AI model development: Automated feature engineering and hyperparameter tuning
- Flexible deployment: Deployed on any cloud or edge environment
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