Computer vision impacts every aspect of our life whether it be a doctor’s visit, driving yourself to work, or using an Instagram filter on your smartphone. The pandemic and the rollout of 5G technology have been catalysts for the implementation of more computer vision technology, namely driverless cars and other IoT applications.
Are you a company in the post pandemic period and are struggling to keep up with demand? Luckily, despite the increased challenges in 2022, there are many solutions to augment and extend your IT team immediately without the added costs and time to hire new employees. This article will outline how the fix cost, staff augmentation, and team extension models work and which model will best service your needs, especially as companies face the additional challenge of staffing shortages in this post pandemic period.
After the Great Depression in the 1930s and the Great Recession in 2008, the year 2021 was characterized by the Great Resignation - a phenomenon that marked the business world through the second year of the pandemic. Given the global situation that has prevailed for two years, resignations among healthcare workers who are on the front lines of the pandemic did not come as a surprise. But where do software developers fit in?
RPA is a form of Business Process Automation that allows the user to define a set of instructions that the software robot will perform on the computer instead of the user. It is a blend of different technologies brought together under one instrument, for automation purposes. RPA is a type of automation that involves software combined with machine learning and artificial intelligence, instead of using physical robots – like in large production facilities. Watch our Online Meetup, and find out more about the benefits and advantages of RPA.
BFSI is one of the industries where AI/ML is causing significant upheavals in 2021 and beyond. Despite the pandemic, interest in AI and ML implementation has been resilient. According to a survey conducted by the Bank of England, around 40% of respondents said that the relevance of machine learning for future operations has increased, with 10% of institutions on a significant rise. The relevance of machine learning has not decreased at any of the banks. The financial sector is heavily utilizing artificial intelligence and machine learning to automate and simplify processes.
In an interview with Mirko Gudelj, Vice President Business Technology at Protel hotelsoftware GmbH from Dortmund, Germany, we talked about the importance of digitalization in the hotel and tourism sector and what the advantages of its use in the race against the competition are.
There are IT companies and there are successful IT companies. When it comes to the latter, development teams simply know what they are doing, and there are reasons for that. The main feature of successful development teams – which can be up to ten times more successful than others – is the correct choice of project development strategy, which is determined by the parameters of delivery time, budget, team size, detailed task description and goals.
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.