We’ve all heard about the significant WhatsApp breakdowns that have happened in the recent past, during which the app was unavailable for the public for an hour. However, from a technical standpoint, WhatsApp returned in less than an hour. What would have enabled the engineers at WhatsApp to quickly restore the services? Technically speaking, the team experienced an extremely stressful production failure because of this.

Today organizations are looking for better solutions to guarantee that their data and information are kept safe and structured. Using a data lake contributes to the creation of a centralized infrastructure for location management and enables any firm to manage, store, analyze, and efficiently categorize its data. Organizations find it extremely difficult to deal with data because the information is kept in silos and in multiple formats.

Codeless automation testing is performing automation tests without having to write any code. It can be instrumental in executing continuous testing as most automation scripts fail due to the deficiency of proper coding standards. It will also enable us to concentrate more on test creation and analysis instead of fearing getting the code to work, possessing it, and scaling it when required. So, if we are relatively codeless in automation testing, we will find this blog helpful.

Artificial Intelligence (AI) is quite powerful and is constantly evolving and currently knows no bounds. It is focused on outperforming its limits using the power of Machine Learning (ML). AI is empowering computers to do things that human beings are unable to do efficiently and effectively and machine learning is aiding the computers to do so by breaking the rules of traditional programming.

One of the biggest preventable losses that hurts insurers worldwide is fraudulent insurance claims. The P&C segment accounts for the most fraudulent insurance claims, with auto insurance and workers’ compensation making up the biggest percentage of fraudulent claims that have an annual impact on the insurance business.

Customers are demanding new software products that are easily customizable and more functional and capable than the previous edition, which has presented DevOps with new hurdles. Customers desire these things in the present and at a low cost. In contrast to what they demand, software development has historically been beset by large expenditures and protracted development durations. Fortunately, service virtualization is making it simple and constraint-free for DevOps to satisfy customer demand.

Data annotation is one of the principal factors in the development of artificial intelligence (AI) and machine learning (ML). As technology is advancing at a fast pace, almost all industries will need to make use of data annotations to keep up with the trends. The use cases for data annotation and encompassing computer vision are enormous.