Software Engineering Insights

The operational and infrastructural overhead involved in running and maintaining cloud-based solutions is often massive. There is considerable effort and expenditure in the construction and scaling of storage systems for tons of user metadata and other in-house files. Dropbox, the file hosting pioneer, is a success story about how cloud costs can be minimized by intelligently managing your infrastructure.

During the COVID-19 pandemic, we have seen intense pressure on the healthcare management sphere. The chaos that the pandemic brought resulted in many challenges for the healthcare system. Therefore, healthcare providers had no choice but to adjust their methods. Instead of in-person services, remote healthcare delivery was adopted to avoid transmission.

With the pandemic at bay, we have witnessed the emergence of digital transformation almost everywhere. Especially, in the IT industry where the organization was still stuck with the legacy system using outdated technology and generating unlimited data but not utilizing it properly. Managing data day in and day out is just not something that immediately derives value to an organization. But, with Data Modernization, it can do wonders for the company. 

As a Chief Technology Officer (CTO) of an organization, who is either driving the technology team of a startup or leading IT operations in a megacorp; continuously innovating is the goal. 

If you’re leading the software engineering cycle of a product or a software development firm, then the struggle to get answers to the following questions must be constant.

In today's competitive business landscape, success is directly affected by the accuracy that goes into your decision-making process. The best business decisions are driven by data aggregated from a vast array of white papers, market research reports, surveys, and domain experience. Augmented analytics is a leading data analytics subdomain emerging in the current market.

How does one measure the success of an organization in the age of insight and business intelligence? Enterprises today run on a strong foundation built on the clarity and efficiency of the data that they possess. Highly beneficial data analytics that gleans business insights faster is the lifeblood of the data economy and every business' evolution is plainly dependent on analytics.

Efficient customer communication is the basis for gaining the trust of a loyal customer base for any business. While data science-backed approaches in customer service and retention have massive benefits, attention must be paid to the quality of customer communication. Cloud-based solutions and AI must be leveraged for more promising customer communications.

Organizations depend heavily on customer data for predicting sales trends and coming up with strategies for successful sales campaigns. Maintaining healthy customer data is a high-priority requirement for a flawless revenue stream for any company. Customer data is arguably one of the most valuable global resources today.

Chief revenue officers of big brands often are tasked with finding the right balance between short-term revenue pursuits and long-term brand equity building. The emergence of advanced marketing analytics and Big Data is making this job much more challenging. As data is becoming more voluminous and yet more precise, what are the challenges it poses to brand equity?

Technology is spreading its wings to provide a profusion of opportunities. We have millions of smart, interconnected devices and complex systems that are enabling us to do much more than human potentiality. But the hard fact is, these systems are not foolproof and highly vulnerable to cyber-attacks.