Stanford University recently launched the 2021 AI Index Report, highlighting the use of AI and its current impact on politics, economics and society. We have chatted with the Data Science Director in Visma, Michael Håkansson, about diversity in AI, the upsides and downsides of AI, and what he believes the future of artificial intelligence looks like.
Choosing higher education is a big decision. What do I want to work with, and what is “wise” to choose when thinking about future labour market opportunities? One thing is for sure: to solve the societal challenges we face, we need expertise in technology more than anything else in the years to come.
How can we use automation to get rid of manual tasks? With the new project AutoMate, our Intelligent Process Automation team sets out to use robots to identify 100 000 hours that can be freed up through automation.
We are thrilled to announce that Visma’s Therese Sletten, is named one of Norway’s 50 leading tech women in 2021. We had a chat with Therese about her early interest and enthusiasm for tech, what female role models have meant for her over the course of her career, and why we need a more inclusive workforce.
Did you know that the first computer programmer was a woman? In the 1840s, Ada Lovelace wrote the world’s first machine algorithm. Fast-forward to today; tech is predominantly a man’s world. Why is this problematic, and how can we shift the course?
With new technology comes new opportunities–and new challenges. What does better data and analytics mean for our society, and where is machine learning and AI taking us? With our new initiative, TechZone, experts within and outside of Visma, will give you a deep dive into how new technologies will drive us forward.
Is your company at the starting point of exploring the endless opportunities AI can bring? Developing a solid strategy is a natural first step. Here are five points you should consider when building your AI strategy.
What will happen in technology in 2021? Gartner’s analysts have taken a look at the market and highlighted the biggest trends for the year.
How can the process of assigning children to kindergartens become more efficient for Norwegian municipalities, whilst at the same time secure fair distribution and fulfill the wishes of as many applicants as possible?
Today, many of the processes within an HR department are administrative, repetitive work. Automation of HR processes can enable HR to spend more time on their core tasks: engaging, attracting and developing employees!
The Norwegian congress and events agency, Fjell og Fjord Konferanser AS, has a strong focus on the environment. Read about how their transition to a cloud-based ERP and payroll system helps them leave a green footprint.
Robotics, also known as RPA (Robotics Process Automation) has been one of the buzzwords within the world of technology for several years. And it does not appear to be a mayfly, rather quite the contrary. So what does robotics mean for the organisation – not to mention the employees? Will robots become our new colleagues or will they take over our work tasks entirely?
How did our Service Delivery Team manage to speed up our software delivery from releasing six software features per year – to an average of eight features per month? The answer lies in the concept of Team Topologies.
How technology empowers people depends on how it is being applied, and that is why we are now launching a new portal focused exclusively on APIs. We want you to take part in creating a dynamic network of products interacting with each other—to deliver meaningful and easy to use solutions that improve lives.
Turning your customer care department into a sales department is possible — and it doesn’t have to be difficult either. So how can you do this? By implementing robots.
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.
How can we provide test data that safeguards privacy in the Norwegian Labour and Welfare Administration? The answer lies in artificial intelligence and synthetic test data.
Users of business applications expect simple applications focused on solving their tasks, in a simple way and without spending unnecessary time doing so. But how do you achieve this running large multi-team Product development organisations?