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.
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?
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?
There is an incredible number of new and often unknown concepts within Data Science and Advanced Analytics. This makes it challenging to get an overview of the concepts, what the concepts entail–and not least how they are connected.
For the fifth year in a row, Visma Denmark hosted Visma’s AI conference. More than 90 people were gathered in the Copenhagen office, and more than 300 people in total participated to learn about AI-based cyber security systems, sports cameras, and Visma-produced AI.
The recently released Smartscan Premium by our Visma Machine Learning Assets team sets a new standard for automated document information extraction. In this blog post series the team explains the transformer architecture of the model that sits at the core of this vastly improved product.
Our Visma Machine Learning Assets team recently launched Smartscan Premium. In this blog series, they will take you behind the scenes to look at the machine learning and research that the Smartscan technology is built upon and what challenges the technology is solving.
Our Visma Machine Learning Assets team has launched two new solutions that are using cutting-edge technology. Learn more about Smartscan and AutoSuggest—and how they made a leap innovation in Natural Language Processing.
What does Robotic Process Automation (RPA) entail and where does it fit in the artificial intelligence landscape?
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.
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!
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?
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.
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.
When the Finnish Tax Agency started looking for a future partner that could help them with analysis, big data and artificial intelligence, they decided on going into the project with Visma Consulting Oy. Together, they found new ways of working and investing in efficiency by taking advantage of the many possibilities that come with AI.