The biggest challenge is to use the possibilities of technology wisely - interview with Magdalena Jagiello
The biggest technology challenge for companies is not only deciding whether to implement an IT project, but also intelligently using the available options.
A chatbot that won't annoy customers - is it possible?
How do you use Large Language Models wisely in your insurance company?
Independence or partnership?
Is it worth building your IT systems with the help of your internal IT department, or should you use external partners?
How does technology debt reduce corporate profits?
Technological debt is a build-up problem that cannot be underestimated. It can result in serious consequences in the future. How can debt reduce your organization's profits?
Data quality is a process
More and more companies want to carry out projects that will improve the quality of the company's data. This means increased awareness, but many organizations forget that taking care of data quality is a long-term process, not a single project.
Data quality is a team game
When deciding to build a machine learning model, it makes sense to start by taking care of the quality of the data that will feed all these systems. Just how to do it? You'll find the answer to that question in the article below.
What stands in the way of applying artificial intelligence to the insurance industry?
Artificial intelligence algorithms make it possible to analyze data, identify patterns and make better business decisions. So why aren't they being used in the insurance industry?
And do you have a data usage strategy?
Data, like other key enterprise resources, requires building both a strategy for managing and using it. What does such a strategy consist of? The basis is to describe four elements.
The year to step up
Tough times create strong technologies. This paraphrase of a well-known quote that has been circulating on the Internet for a long time perfectly reflects our times. It can also be a good inspiration for taking action in 2023. Why?
What technologies are worth investing in when we are forced to choose?
Choosing which technology we want to implement first requires quieting the marketing hype in our heads and thinking about which solution will really improve our organization.
Not so scary audit...
We say that data is extremely valuable to us. On the other hand, we most often deal with them haphazardly and without a plan. The way out of such a situation is to conduct a data ecosystem audit.