Software Engineering Insights

Out of all the stages of the supply chain, logistics deals with the most unpredictable issues. These include factors like weather patterns, fuel prices, and last-mile delivery charges. The gradual adoption of demand forecasting with Artificial Intelligence (AI) is helping the logistics sector to alleviate some of these uncertainties.

Learning is defined as the adaptive intelligent change in response to experience. In humans, it refers to the continuous process of acquiring new skills, values, knowledge, attitude, and preferences based on past experiences. This lifelong exercise in humans is called cognitive learning.

Smart homes, wearables, automated cars are some of the popular concepts that introduced the world with the IoT technology and its potential applications. The continued growth of this technology and its use case realization has created a global IoT market of $389 billion, which is forecasted to reach $1 trillion in 2030 (according to Statista). 

The popularity of AI's potential to transform the way industries function has grown immensely in the social media sphere as well. It has grown to become an integral component of social media giants such as Instagram, Facebook, and Twitter. These companies are availing the various benefits of AI like enhanced security, better customer engagement, and in-depth analytics.

Machines have historically aided humans to maneuver several challenging tasks all through the dark ages and the industrial revolution. A decade after the Enigma machine helped the Allies win World War II,  its inventor Alan Turing posed the one question that expanded our horizons for innovation - Can machines think?

Finance industry processes are becoming more foolproof and efficient due to automation. There is plenty of evidence to showcase the growing impact of Machine Learning (ML) and its wide acceptance across various use cases in capital markets.

The radiology wing of hospital systems and diagnostic centers generates an abundance of sensitive data. However, they often lack the analytics infrastructure to access and parse the data efficiently. To make the most of this available big data, radiologists are leveraging AI-based imaging analytics.

It was the 1950s' when Alan Turing conceptualized Artificial Intelligence. Nobody would have imagined the vast array of applications that this technology could offer. He formed the mathematical & logical reasoning behind the concept of machines and computers replicating human intelligence, which today has outgrown to even replace humans for certain tasks. 

We are all aware of chatbots and how they interact with us. And we all have invariably wished if only they were more human-like. 

Admit it, it is pesky to be interacting with a bot especially when it fails to understand your core issues. That’s when you wish if only you were talking to a human than a virtual assistant.

It was 31st December when WHO’s Country Office in the People’s Republic of China got the news from a media statement by Wuhan Municipal Health Commission, of a case of “viral pneumonia” in Wuhan, capital of Central China’s Hubei province. What seemed to be a “viral pneumonia”, after detailed studies were coined as a novel coronavirus, thus marking the inception of the COVID-19 pandemic.