With steady growth and determination of FinTech startups investors, FinTech is predicted to reach $4.7 trillion in valuation. Plenty of innovative and lucrative fresh fintech companies start changing finance industries in countries all over the world. No wonder that investing in FinTech startups is an attractive and popular option among venture capitalists.
Recently, our co-founder and COO, Yuriy Gnatyuk gave an extensive interview to GoodFrims about KindGeek, its history, and its many features.
We are thrilled to announce that our app-development expertise was recognized by AppDevelopersListing.com and Yahoo Finance. We made it into the top app developers companies in July in the third place.
Healthcare Technology in Pandemic Time: How Healthcare Technology is Responding to the COVID-19
6 Mins read
And while the majority of meaningful changes that will help the HealthCare industry now and in the future are on political reforms, additional investments, raised salaries, bigger personnel, and better management, advancing technology in healthcare can make its valuable contribution as well. The shock and sheer scale of the crisis were also a source of inspiration and determination to launch new tech initiatives that would help the HealthCare industry and mitigate its current and possible hardships.
In the dark ages before core banking software was a thing, transactions between different branches of a single bank took at least one day if the wind was fair and the weather favorable. Thanks to the expansive implementation of the core banking, the situation improved drastically, and now, 24 hours per transaction is a horror-movie material.
The HealthCare industry is a high-stakes environment where making decisions is a tough process, which often treads the line between life and death of other people. And, even when the stakes aren’t that high, everyday decisions may affect the further quality of patients’ lives and how successful their recovery from the illness is going to be.
Artificial intelligence is here to… No, not to steal your job but rather to make it easier and its — results more impressive, at least, concerning cybersecurity services. If properly harnessed and used, the power of AI and machine learning can significantly improve the levels of software protection.
AI for cybersecurity is quite a theme to discuss and imagine things about. In this article, we will scratch the surface of the topic to get that essential understanding of the matter; we will examine how and for what purposes people use AI and machine learning; we will learn about the benefits and challenges that AI poses.
Lab inventory management is where you have to do a lot of mundane repetitive work, which a human mind despises, to ensure that the lab can run efficiently and the employees have everything they need where and when they need it. Overall, inventory management is a cumbersome and a taxing process, which has no right to be so clunky and clumsy in the era of automation. Thus, the desire to build lab inventory software is a natural and a well-justified decision, which will go a long way in ensuring cost-efficiency, decreasing workload, and decreasing the probability of errors.
After the work has been done, money should be sent, employees should be paid, taxes should be done. The laboratory billing process is also a complicated, bureaucratic task that throws quite a lot of additional work onto an already huge heap of responsibilities. It’s quite easy to make a slip in this complex environment and cause yourself and the lab a lot of trouble. Fortunately, the software is here to minimize the possibility of slips and maximize the efficiency of the lab as a whole.