According to the U.S. Energy Information Administration (EIA), world energy consumption is forecasted to surge by almost 50% by 2050. This prediction underscores the urgent need for a concerted global push towards smarter, more efficient energy grids and resource management. According to the International Energy Agency (IEA), the global Internet of Things (IoT) deployment in power systems is expected to save $80 billion annually from 2016 to 2040, making up 5% of the total global power generation costs.

By 2030, the value of the Generative AI (Gen AI) sector is expected to grow to USD 110.8 billion. GenAI is predicted to be responsible for 10% of all data generation by 2025, a stark increase from under 1% in 2021 – Gartner.

Today, Site Reliability Engineering (SRE) emerges as the key player in the fast-paced modern industries, where the demand for seamless software delivery collides with the need for reliability, maintaining this delicate equilibrium. It’s not merely a role; it’s a strategic position that safeguards system health while strategically mitigating the financial pitfalls associated with downtime.

According to Gartner, JIRA is still one of the most popular application lifecycle management (ALM) technologies in many enterprises, with a rating of 4.4 out of 5 for its features. Determining an “issue permission” enabled with the proper security constraints and balancing its project access control is always a difficult challenge in an enterprise JIRA setup.

Artificial intelligence (AI) is rapidly transforming the business world, and Application testing is no exception. AI-powered testing tools can help businesses to automate tasks, improve accuracy, and reduce costs. One of the most important benefits of using AI for Application testing is that it can help automate repetitive tasks. This can free up testers to focus on more complex and strategic tasks. For example, AI can automate creating test cases, executing test cases, and analyzing test results.

In the present digital period, Artificial Intelligence (AI) is impacting the future of various aspects of Quality Assurance (QA). This evolution has resulted in strategies for ensuring quality is effectively integrated into development processes.

Interoperability in banking and finance is multifaceted, uptight, and fraught with many menaces, risky projects, and prominent vendors. One such solution is Open banking. Open banking is a mode where banks provide a set of consistent and standardized interfaces to permit service providers and third parties into their banking services. It is about opening up large banks’ banking services to third-party providers, application developers, and end users.

Platform engineering is a discipline that addresses organizations’ need to expedite developing and managing cloud-native applications. This focus on internal development involves creating “Golden Pathways” to save time and encourage creativity.

Staying ahead of the curve is paramount in the vigorous scope of software testing and quality assurance. The collaborative effort between industry leaders Cigniti and Katalon has given rise to The State of Software Quality Survey 2024-25, a groundbreaking initiative aimed at unraveling the latest trends, challenges, and innovations shaping the future of software testing.

The digital engineering and assurance landscape is swiftly changing, propelled by technological strides, sustainability initiatives, and shifting industry needs. With 2024 on the horizon, distinct trends are surfacing, demanding attention from sector experts and companies aiming to maintain their competitive edge.