Voyansi Voices Blog

Artificial intelligence is a constantly evolving field that has advanced by leaps and bounds and exponentially in recent decades. As this technology develops, so does the need to adapt to the changes it brings with it. The problem lies in the fact that the speed of technological progress is greater than people's ability to adapt to it. It is important to keep in mind that artificial intelligence has the potential to revolutionize many aspects of society, from the way we work to the way we relate to each other and the world around us. Therefore, it is crucial to keep track of developments in this field and to constantly work on our ability to adapt to them.

This article explains theoretical concepts and provides examples for greater understanding.

This is our time! In all these years, Voyansi has grown and improved the quality of the services it offers. It was with dedication, hard work, and lots of learning on the way that we become one of the leaders in the industry.

The majority of applications for the AECO (Architecture, engineering, construction, operation) industry are desktop applications (primarily MS Windows© based).  These applications tend to be expensive in cost, especially so today with ‘subscription’ modes of licensing becoming more common. 

We are excited to join thousands of innovators at Autodesk University 2022 in New Orleans, LA on 27-29 September. After 2 years of participating in the digital conference, it is going to feel incredible to get together with like-minded people in person!

3D Scan to CAD is a service that converts your 3D scans into editable, design-ready, and professional-grade CAD files. But, how does it work? Why should you scan and then move to CAD?

Picture this scenario:  You are one of the largest companies in the wood and engineering industry and you want to become more efficient by speeding up your processes. This means redefining practically all of your workflows to fit new demands. They know it's one of those jobs where there's much to be gained if done right, yet much to lose if the results do not meet expectation.

This was the scenario facing RedBuilt and they turned to Voyansi to ensure the project was a success. 

We are technology enthusiasts, and we state that software is at the core of how we make BIM accessible for all. But beyond our phrases, there’s a lot of information waiting to be interpreted and told.

It’s like a watch. What we see on our wrists is the result of a series of smaller processes that make the handles move and let us know what time it is. Are you going to tell me that what lies behind the numbers and handles isn’t interesting to you?

What’s behind many of the things we do is Dynamo. But before getting specific about it, we should see the bigger picture.

I believe that humans, like plants and other animals, need time to get used to new environments. Understanding them, familiarizing themselves with their characteristics and peculiarities, is the first step. Of course, this applies to any change you face in your life: From moving to another city, to becoming a new Revit user.

Every week, new platforms emerge to help manage every aspect of the business. There never seems like the right time to hop into something new. However, this week we'll discuss the other side. Understanding where your current software ecosystem is hurting your business. These areas can be hard to detect, especially when you've been running the same systems for years. Technical debt builds up beneath the surface, and before you know it, more agile competitors are producing things at a pace that seems like magic.

In recent years we have assimilated a lot of new ideas. Imagine yourself as a drafter in the 1950s, and how mind-blowing printing technology is today. How about a lot of the tedious calculation-based work that has been replaced with software tools: quantity take-offs, spatially organizing office space in a building, or even in creating models themselves. We work in an industry that is constantly evolving and changing. BIM, our chart and compass guiding us in the right direction. 

In our last few posts, we introduced you to our ecosystem design principles and the platforms we chose. Implementation can always be more perfect, and just as we changed a lot internally in the last 5 months, the next year will hold even more surprises for us. We know you are going through similar changes, so this is  of how we formed an architecture for our data ecosystem.