Software Engineering Insights

The growing use of artificial intelligence(AI) in sensitive domains such as healthcare, hiring, and criminal justice has sparked a debate about fairness and bias. However, it's worth noting that human decision-making in these areas is also susceptible to biases, which can be influenced by societal norms and unconscious beliefs.

From social media to mobile apps, technology has become an integral part of our daily lives. With such widespread use, it's no wonder that businesses are investing more than ever in digital products and experiences. However, with great power comes great responsibility, and businesses must ensure that the digital products they create are designed with ethical considerations in mind.

Electronic Health Records (EHR) have completely transformed the way hospitals operate and enhanced the quality of care delivery. Scheduling appointments, allocating prescriptions, and viewing diagnostic data have all become simple processes because of EHR-based digitalization. However, there remain many bottlenecks that have stood in the way of seamless industry-wide adoption of EHR.

While observability is an increasingly crucial part of DevOps-based software development, the associated costs are growing faster than infrastructure costs. IT organizations today face the challenge of balancing innovative observability strategies with maintaining sustainable business models.

Schools deal with multiple parallel workflows and involve various interconnected stakeholders such as teachers, students, and administrative staff. While serving students with optimal education, schools also need to optimize the management of the institution's business side to better serve everyone, which necessitates the need for School Management Software (SMS) and systems.

Edge computing has become increasingly popular in the digital landscape and taken several industries by storm, especially due to the surge of data generated by IoT devices, smartphones, and other endpoints.

The DevOps paradigm has predominantly been focused on delivering high-quality software products to customers faster through shortened release cycles. Ensuring continuous security for these products is an essential aspect that is implemented by the DevSecOps domain. But when it comes to security in the product's design and architecture you need a more dedicated system such as that offered by Threat Modeling.

Security breaches have become increasingly common, causing organizations to seek a proactive approach to protect their sensitive information. The increasing number of cyber attacks, data breaches, and security vulnerabilities have exposed organizations to significant financial, legal, and reputational risks.

Advancing user requirements and the need for tighter security measures across the internet is making it crucial to shift from monolithic to DevOps-based software development. Additionally, microservices architecture is finding an essential role to play in this shift. Amidst all these developments, it is important to consider the need for boosting transparency through better DevOps observability for microservices.

From natural language processing to computer vision and beyond, there is a wide range of AI technologies that are being used to transform businesses across various industries. One of the latest development in this space is ChatGPT, which has recently made significant strides in advancing AI capabilities. With its recent updates i.e., GPT-4, enterprises are able to unlock new possibilities and stay ahead of the curve in an ever-changing business landscape.