Companies have to walk the extra mile to deliver customers a never-before-seen experience. It is the only way out to survive the cut-throat competition. So, irrespective of the size, industry vertical, services, or product, companies must fix their eyes on emerging technology trends to stay ahead of the competition and delight customers with awe-inspiring experiences. In this post, I will focus only on product-based businesses. The number of companies investing and implementing next-generation technologies has increased multifold in the past few years. And they are doing it right to improve their business efficiency and customer experience. Be it a small, medium, or large-sized company, without technology upgrades, you won’t be able to entice your end users. If you’ve carefully analyzed the factors that impact the budget of companies, technology investment will top the list.

If you presume the role of developers is to develop bug-free software, you are mistaken. Software is designed and developed for a real-time user. Developing bug-free software doesn’t automatically imply that the software is super functional and delivers high performance. Not all software always lives up to user expectations and practicality, especially since many aren’t scalable. This is one of the reasons why most software falters in the real world. So, what should be done to make the software reliable, scalable, and high-performing? If this is the question you’re seeking an answer to, Performance Engineering is the best bet to overcome the challenge. Let’s dig deeper into the challenge to understand the limitations and challenges in the current development process and why you need something called Performance Engineering to bolster the software quality and performance.

Digital transformation is taking the financial industry by storm. Artificial Intelligence and Machine Learning are the red-hot technologies transforming the sector, reeling under the pressure of managing customers and their data. Finance is a process-heavy industry and produces a lot of data. The industry has struggled to improve its data management over the years, yet failed due to lack of systems and tools. The real challenge is managing the data with the current systems, tools, and processes. Now, the invasion of AI and ML has enabled Finance companies to improve their end-to-end processes and data management. And the technologies are helping greatly improve the Finance company’s performance, efficiency, and customer satisfaction. With many benefits to offer, companies are heavily dependent on these futuristic technologies. Here are some of the challenges the industry faces daily. Managing customer data Adjusting strategy to improve customer satisfaction Making quick and decisions Enticing customers with offers and discounts Engaging customers Serving customers Risk management Detecting fraudulent activities Improving customer retention rate Enhancing customer satisfaction, etc. Consider any finance-based company – Banks, Insurance, etc., that faces the above-stated challenges daily and looks for solutions to negate them. Before diving deep into understanding the impact of AI/ML in the Finance Industry, let’s throw light on their growth across different verticals.

The IT industry is undergoing rapid transformation, but for a good cause. Industry leaders today are focusing on the latest digital techniques and solutions to meet the growing customer demands over the globe. Of the different techniques and solutions, low-code or no-code has received the best reception from business owners.