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Artificial Intelligence (AI) has numerous applications for small businesses and is not something meant just for large corporations. No one can deny the…

We are now ready to wrap up the four-part series on how technology vendors – especially data and analytic technology vendors (and what technology vendors are not involved in data and analytics nowadays) – can help their customers to “unleash the business value of their technology investments.”

I wrote this four-part series because in my…

It’s no riddle that identity fraud has become one of the greatest challenges for online corporations. As stated by the report on identity scams, there were 15.4 million innocents of crimes associated with identity scams and theft in 2020 only. Therefore, as online payments rise due…

What is Distributed Artificial Intelligence (DAI)?

Attempts to find a “bullet-proof” definition have not produced result: it seems like the term is slightly “ahead of time”. Still, we can analyze semantically the term itself – deriving that distributed artificial intelligence is the same AI (see…

At my AI course in the University of Oxford, we are exploring the use of PyTorch for the first time.

One of the best libraries to get started with PyTorch is fast.ai.

There are various ways to learn fast.ai.

For most people, the fast.ai course is their first exposure.

There is now a book…

Time and time again, Judea Pearl makes the point on Twitter to neural net advocates that they are trying to do a provably impossible task, to derive a model from data. I could be wrong, but this is what I think he means.

When Pearl says "data", he is referring to what is commonly called a dataset. A dataset is a table of data, where all the entries of each column have the same units, and measure a single feature, and each row refers to one…

We all experience video streaming issues, probably on a daily basis. But now that people aren’t just streaming for entertainment, but are relying on it in many cases to perform their jobs, it ups the ante to address some of these issues and provide an improved experience. Deep…

Hello, friends. In this blog post, an interpretable design of unsupervised deep convolutional neural network & lstm autoencoders based real-time anomaly detection from high-dimensional heterogeneous/homogeneous time series …

Recent studies show that, ‘healthcare’, very niche and the personalized sector is now expanding its arm to embrace 'AI strategies' on priority this journey will be a roller coaster due to unawareness of where and how AI should be used,and also how to implement it on larger & wider scales. This article will talk about various areas of…

The gender gap in technology is real. As per the World Economic Forum, women represent just 22% of AI…

If you think that the definition of Artificial Intelligence is definitive and concrete, maybe AI isn't exactly what you know. AI is a separate entity in itself, a world of different worlds. To break in simple words, AI is a technological…

The automated technological enhancement and the edge of AI (Artificial Intelligence) change the scenario of the business like never before. It eliminates the heavy workload of employers and employees. Like due to the implementation of technological things, they can now enjoy their work rather than take the stress of the compilation…

Artificial intelligence (AI) and machine learning have come a long way, both in terms of adoption across the broader technology landscape and the insurance industry specifically. That said, there is still much more territory to cover, helping…

Rohit Prasad, head scientist for Alexa, recently published an article questioning whether the Turing Test is still a relevant benchmark for…

A Customer's behavioral pattern that includes habits, needs, preferences, and means of interacting with service all comes under consumer behavior. Over the years promoting, customer-centric marketing campaigns have become the norm of major industries. According to the statistics, over 86% of consumers would pay more for getting a better customer…

I was asked this question: “What distributions do we need to use Deep Learning?”

This is a question with a multi-faceted answer.

The direct answer is that algorithms which are traditionally referred to as deep learning (MLP, CNN, LSTM) do not need to know the distribution in advance since they…

There are unlimited discussions, and conversations over this well-known point, and it tends to be a touch of overpowering to realize where to begin from data science specialists to finish amateurs.

While, from analysts to students,…

 The Artificial Intelligence in Construction Market size is estimated to generate a revenue of $2,642.4 million by 2026 with a CAGR of 26.3% in the forecast period.

Artificial…

The artificial intelligence in agriculture market have impacted positively due to the pandemic. AI is applied largely in the agriculture sector in various countries across the globe is predicted to boost the overall market in the forecast period. Due to shut down across the globe the market has not impacted adversely. Moreover, increasing…