Natalia Sniadanko

The Discovery Phase in software development is an initial collaboration step that paves the way for successful project execution. Often overlooked or undervalued, this phase is crucial for understanding the project's scope, requirements, risks, and feasibility. The Discovery Phase sets the stage for a structured, efficient, and effective development process, allowing the alignment of business goals with the user's needs for the final product.

Big data analytics are the top-notch of every industry today. The healthcare market is applying big data apps significantly faster than other industries. Big data analytics for the healthcare market bring numerous merits for physicians and patients. Big data analytics for the healthcare industry have vast and visible potential, making medical help better planned, preventative, personalized, and affordable. Innovative technologies with data analytics allow healthcare workers to forecast and avert infection outbreaks, decrease death rates, cut personal expenses, and improve patient outcomes.

In-house vs outsourcing software development has always been a big question for businesses. There are many pros and cons to each. Whether your business has stood the test of time and you’re looking for upgraded software development, or your organization is new on its journey, and you need a solution, we’re going to break down the benefits and differences of in-house vs outsourcing your software development.

Computer vision (CV) creates ML-based models applied for medical assistance in the prescription of medication, and identification, monitoring or the development of specific illnesses. Computer vision helps physicians to complete daily work, free up physician’s time, prevent avoidable procedures and diagnostics, which allows doctors to concentrate on difficult cases in healthcare. It helps to boost strategies of better medical help and give more attention to each case. The implementation of computer vision software based on medical imaging or predictive analytics offers several advantages to the healthcare market.

Computer vision (CV) creates ML-based models applied for medical assistance in the prescription of medication, and identification, monitoring or the development of specific illnesses. Computer vision helps physicians to complete daily work, free up physician’s time, prevent avoidable procedures and diagnostics, which allows doctors to concentrate on difficult cases in healthcare. It helps to boost strategies of better medical help and give more attention to each case. The implementation of computer vision software based on medical imaging or predictive analytics offers several advantages to the healthcare market.