Blog
Addressing Challenges Associated with Imbalanced Datasets in Machine Learning
Once you start collecting data to train classification models in
March 20, 2019
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Services Category: AI/ML
Blog
How IoT is Making Heavy Equipment Safer and More Efficient
Heavy equipment is mainly used extensively in industries such as
March 19, 2019
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Blog
Reinvent Security with AI-based Video Surveillance
Modern security operations essentially rely heavily on the data that
March 7, 2019
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Blog
How Artificial Intelligence is Transforming the Consumer Electronics Sector
“AI is the new electricity” – Andrew Ng (Entrepreneur and
February 28, 2019
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Blog
How AI can help the Fleet Industry Solve its Most Persistent Problems
The fleet industry has faced challenges related to operational inefficacies, theft, fleet maintenance since time immemorial. Today AI is helping to solve these and other persistent problems of the industry. Is it possible to eliminate these challenges completely? Perhaps not, but with AI-powered solutions, it is possible to face these with greater efficiency.
February 27, 2019
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Case Study
End-to-end Product Engineering for a Telematics Device
Case study – Turnkey development of a telematics black box for heavy commercial vehicles…
February 27, 2019
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Blog
Everything you Need to Know About Hardware Requirements for Machine Learning
When trying to gain business value through machine learning, access to best hardware that supports all the complex functions is of utmost importance. With a variety of CPUs, GPUs, TPUs, and ASICs, choosing the right hardware may get a little confusing. This blog discusses hardware consideration when building an infrastructure for machine learning projects.
February 24, 2019
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Blog
How Retailers are using Artificial Intelligence to Stand Strong in the Era of Digital Transformation
What influences the customer buying decision for any product that
February 20, 2019
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Blog
Regularization: Make your Machine Learning Algorithms “Learn”, not “Memorize”
Within the production pipeline, we want our machine learning applications to perform well on unseen data. It doesn’t really matter how well an ML application performs on training data if it cannot deliver accurate results on test data. To achieve this purpose, we use regularization techniques to moderate learning so that a model can learn instead of memorizing training data.
January 17, 2019
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Blog
5 Deep Learning Trends that will Rule 2019
Deep learning, powered by deep neural networks, can deliver significant benefits to organizations on their transformation journey. Trends related to transfer learning, vocal user interface, ONNX architecture, machine comprehension and edge intelligence will make deep learning more attractive to businesses in the near future. There is no doubt that we will continue to see a growth in the application of deep learning methods in 2019 and beyond.
January 4, 2019
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