Machine Learning algorithms are based on large amounts of data that need to be processed for the algorithm to learn. GDPR requires companies to comply with regulations that will secure consumer data. But questions have been raised about how this regulation will address automation in analytics as the AI and machine learning market grows. GDPR outlines six data protection principles, and according to Norwegian Data Protection Authority, AI is facing four of them.
The target date for the entry of the Republic of Croatia into the Eurozone is still set to 1 January 2023. But while the start of 2023 is the first possible date of entry, some forecasts claim that not all the requirements will have been realized by then because preparation projects last up to 3 years, and 90% of the cost lies in IT system adjustments.
With the development of the digital workforce and agile operations, today's business demands have changed. Accordingly, the traditional SDLC continued to evolve, emphasizing agility to decrease time-to-market by developing a minimum viable product whilst putting the client at the center of the project. Whereas the traditional SDLC software development model is still present, models such as rapid application development (RAD), are reshaping the design of modern businesses to incorporate agile procedures.
For some projects, companies hire developers with about a year of experience. A team is usually enthusiastic, eager to work and gather new experiences, and works well to a certain point. Then the project becomes too complex and, most often, ends up only half-realized. To prevent the project from failing, companies hire a SWAT team - skilled people experienced in working with demanding projects.
According to Gartner's research, by 2023, more than half of all medium and large-sized businesses will select a low-code development platform as one of their strategic application platforms. The main reason for this decision is the need for simpler and faster development of complex enterprise solutions that will be easier to integrate, modify and upgrade so that companies can adapt more quickly to changes in the market, legislation, or customer needs.
There are many reasons why companies integrate Machine Learning into their fundamental activities. But before you decide to transform your business with Machine Learning, you should take a couple of things into consideration to check whether your company is ready for new technology adoption.
In the first part of this series of blog posts, we defined what SAFe is. We also explained why companies implement this framework and what its advantages are. In the second part, we will explain in more detail how SAFe is organized and how to recognize whether your company is ready for its implementation.
Many of the world’s largest companies have introduced Scaled Agile Framework (SAFe) into their business model. What prompted such large companies to introduce a new framework into their business at all, and why did they choose SAFe?
Before the concept of open banking was implemented, some financial services companies used the widespread ‘screen scraping’ to provide services that will now be enabled by PSD2 regulations and the concept of open banking, but in a safe way. In this blog, we will briefly present how users are protected through PSD2 regulations.
As a modern consulting company, Serengeti receives a different request regarding custom software development projects almost daily. In this blog post, I will try to describe the most important principles in modern software development which make it more sustainable.