Mark
I am a technology writer with a strong passion for my profession, fortunate enough to picture good and bad of tech world with tips, tricks, challenges and their solutions.
Articles from this author
Generative AI is exploding onto the scene. That's not news. But it would be interesting to note that this happened at the same time when cloud-native analytics have gone mainstream.
Modern businesses produce large amounts of data daily. Be it from customer transactions, Internet of Things (IoT) sensors, or countless other such sources.
Businesses today need to ship new software faster than ever. That's not news, of course. Anyway, because of the demands on businesses, new solutions are being built on top of micro-services, serverless functions, etc.
We now live in times when productivity is determined by smart workflows throughout the business. For decades, ERP platforms have been used to run end-to-end organizations
Web Development 2.0 is upon us. Businesses want efficiency and faster turnaround time on projects. This is all so they can stay competitive in today's digital economy.
The adoption of cloud technologies around the world has changed the way software is consumed. Organizations now care more about agility and systems that scale with their business.
The financial services industry is evolving. Banks, hedge funds, Fintech startups, etc. are all leveraging technology and implementing more sophisticated computational processes to keep up with the influx of information.
Information has become a critical resource in today’s business world. Businesses have been amassing large quantities of information over years but sometimes struggle to put it to use.
The market today is a competitive landscape. And that holds true for the broad spectrum of industries worldwide. Anyway, what I am getting at it is that organizations are under increasing pressure to optimize operational costs but without compromising accuracy and speed.
It has become abundantly clear to the market that a mobile presence is no longer a luxury for companies. Rather it is a necessary condition for business scalability today.
Times have changed and how! Take modern technology and the fast-paced digital economy, it is driving.
The frequency of software releases has reached an all-time high lately. You see, more organizations are migrating to cloud native architectures.
The rapidly growing volume and speed of digital transactions have had a whole lot of implications for businesses
The modern, fast-paced digital economy has flipped customer expectations from businesses with which they engage. Think about it; customers now want immediate, 24-hour support.
The cloud computing market is long past the point of simple migration. It is now defined by the practical application of advanced intelligence and distributed infrastructure.
We live in the age of cloud computing. That's plain to see. However, what may escape many are the operational and financial challenges of managing multiple independent clusters.
Times have changed and how! Take modern technology and the fast-paced digital economy, it is driving. Given the market conditions, any company's infrastructure has become more than just a technical detail.
The rapid advancement of generative artificial intelligence has had a massive impact on technology as well as the market. What I mean is that Gen AI has transitioned from a novelty to a core business priority.
Agile and data driven companies have a clear competitive advantage. At least in the modern market. This shift has led to the adoption of specialized software, such as CRM and various SaaS apps.
It has been for everyone to see that the modern digital economy is distinguished by high volume, real-time financial transactions.
Business success has become reliant on efficiency and agility of the underlying technology infrastructure. Clearly, companies now depend on cloud computing to provide seamless services while managing exponential data growth.
A rapidly growing number of companies are realizing the importance of a robust architectural foundation as they strive to become adaptive digital enterprises.
For data intensive industries such as insurance, the global business landscape is undergoing a profound transformation. Thanks to all the relentless technological innovation, this shift presents both significant challenges and unparalleled opportunities for modernization of the insurance sector.
Organizations are always looking for newer technologies to aid their operations. So, this hunt revolves around solutions that offer not only agility and scalability but are also cost-effective.