Software Engineering Insights

User experience (UX) designers rely on a variety of research methods and analytics to understand what the end-user prefers in the design of a software solution or product. Ethnographic research is a tool with great potential that UX designers are finding to be extremely insightful in discovering user preferences and pain points regarding product design & development.

Most UI developers have traditionally relied on popular Javascript frameworks like Angular and React for building single-page applications. However, Blazor, a 2018 launched framework is creating a lot of buzz in the UI development market. It allows writing  client-side processes using C# and is slowly gathering mainstream interest.

Automotive brands need to make their customer journey more personalized and innovative to maintain a competitive edge in the market. Artificial Intelligence (AI)-based chatbots have become the go-to technological innovation for these brands to make the end-user experience a notch above the rest.

Referring to some of the most pivotal technologies as mere buzzwords is a disservice to innovation. The Internet of Things (IoT) is one such domain of technologies most people tend to refer to, without fully understanding its nuances or its technical aspects.

When handling voluminous data that is highly sensitive, it is always preferable to group it into categories or classes. That is primarily where classification algorithms make themselves useful. Classification algorithms are one of the most widely implemented classes of supervised machine learning algorithms.

The average long-distance traveler cites congestion as the primary hindrance to their travel plan. With advancements in technology, the decision-making process that guides route planning has become much more streamlined. Artificial Intelligence (AI) backed route optimization systems give travelers the shortest and most congestion-free routes upon user request.

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.

Cloud computing has enabled primary stakeholders in software development to deploy a broad set of resources and services for on-demand usage. Based on scalability, cost, performance, efficiency, and security these stakeholders can choose from a variety of deployment models for making these resources available over the cloud.

What is IoT? The Internet of Things (IoT) refers to a network of digital devices over the internet that use embedded sensors to transmit user data between them and the cloud. More popularly known for their application in "smart homes", the purpose of these interconnected systems is to make life easier with devices that communicate independently and respond to human stimuli.

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.