According to VennaSolutions, global AI market is expected to reach $1.8 trillion by 2030. Enterprises in New Zealand are spending greenbacks in AI-powered chatbots, predictive analytics tools, and automation platforms.
As of 2025, around 78% of companies across the globe now use AI in at least one business function. Even in New Zealand, more and
AI solutions are helping NZ businesses in ways one couldn’t even think of. A few years ago, teams used to spend hours sorting data manually. They relied on guesswork which caused a lot of errors. The business processes were slow. Then AI entered the scene and it shaped everything. Complex
The mantra to win in modern business landscape? Move as fast as technology is shaping it. For many enterprises, this means leaving behind legacy systems and embracing the cloud. But hey, is this journey really that simple? Actually, no. You need to consider a lot of moving parts so that
Enterprises nowadays find themselves swimming in a sea of data from all sorts of sources – applications, sensors, customer interactions, and beyond. And since this is too much to handle, they struggle to turn all that raw information into meaningful insights. The reason why designing a reliable data pipeline system
While a lot of technologies have played their part in improving modern-day enterprises’ security, SSO integration is what actually changed the game! There was a time when users and IT teams had to handle multiple passwords for every app. It was no less than a nightmare. But today, we get
If we are all intelligently connected around the world, the credit goes to IoT. Smart speakers managing our schedules to thermostats optimising our home energy, these devices intersperse comfort into our daily lives. But do you know that this hyper-connectivity has a dark side? A rise in IoT device hacking!
Ever watched a skyscraper rise? Those who did know it’s a meticulous process. A detailed blueprint is created, a steel framework is developed, and then, finally, you get the resilient structure. The same principle applies to your data framework. Yet, many enterprises face problems when laying the pivotal groundwork for
