We love challenging problems—and we love to solve them. Through the use of technology we can create solutions to complex challenges that make people's day-to-day work life, and private life, a little bit better.
In-house AI product development has become feasible for most software companies due to developments within available talent, scalable infrastructure and increased data quality. But how ready are software companies on the one hand, and customers on the other, to deliver and consume AI products, respectively?
This year's busiest working day is ahead for our hero from Lapland. Delivering the presents is (in the world of optimization) a typical travelling salesman problem (TSP): how to visit a number of locations using the shortest path available. But how long would Santa’s route have to be for him to visit all households around the world?
What is it like to work with development in Visma? We have talked to Kasper and Jacob who are currently working on an AI project where Kasper is the Project Lead and Jacob is part of the Optimization Technology team that develops the algorithm.
Who works around the clock, always delivers on time and never needs a coffee break? Robots that automate tedious and manual tasks, that’s who. Fewer mistakes and faster actions are just a few benefits of automation.
Shift planning has never been easier. With shift generation, Visma Resolve’s newest extension to the Automatic Rostering module, you can automatically get optimal shifts designed for your departments’ needs. As always, the module also assigns employees to the created shifts to ensure an efficient and fair schedule.
The software industry is moving forward at an exponentially increasing pace. We have gone from on-prem to cloud, introduced mobile extensions, and enabled users to automate repetitive tasks using robotics. However, there is something that moves even quicker than technology, and that is customer expectations.
Handling invoices can be time-consuming, but it’s now possible to automate more than 80% of users’ data entry! We've asked Management Trainee Henrik to give us insight into how this was done through his project on invoice handling automation.
Building algorithms using human brain power alone is a challenge. Machine learning imitates human behaviour and learns to make predictions and decisions better than those of people. This makes it extremely versatile.
The software industry is moving forward at an exponentially increasing pace. We have gone from on-prem to cloud, introduced mobile extensions, and enabled users to automate repetitive tasks using robotics. However, there is something that moves even quicker than technology, and that is customer expectations.
Artificial Intelligence (AI), Machine Learning and advanced analytics are among the most promising solutions for businesses and society. AI can solve many of society's sustainability and efficiency challenges, but what are the ethical implications of using such technologies, and what is Visma doing to ensure they are implemented with people in mind?
Being data-driven is no longer an ideal, it is an expectation for everyone that wants to succeed in today's business landscape. To help you become more data-driven, here are four of the most important BI trends for 2020.