Machine learning model structuring and processing is not as easy as it may sound. Without the availability of required data, it is difficult to imagine the accuracy of results. At the core of several AI programs wherein complex computations are done, machine learning algorithms also enable the systematic rendering of learning…

As the amount of data being produced in the world increases, it is becoming essential to create systems to store, handle, and manage this existing…

Covid 19 pandemic has brought a new wave in the healthcare industry, and they have brought a giant leap forward in the digital healthcare roadmap. According to…

While the natural language processing (NLP) field has been growing at an exponential rate for the last two years — thanks to the development of transfer-based models — their applications have been limited in scope for the job search field. LinkedIn, the leading company in job search and recruitment, is…

Companies across industries face distinct problems as regulatory obligations, corporate standards, and best practices evolve at a breakneck pace. It is not enough to comply with present regulations in highly regulated industries like financial services—companies must predict and plan for forthcoming…

• An innocent man spends a year in jail after ShotSpotter frames him for murder.
• The gunshot detection system has been widely criticized for degradation of civil rights.
• ShotSpotter's many problems include a false positive rate of up to 90%.

Sixty-five-year-old Michael Williams was released from jail last…

How to test SEO and why

Companies need to constantly improve in order to prosper in the software development market. New players enter the competition every day, offering a wide range of software development services. In order to stand…

In the modern world, every organization is propelled forward by data. As organizations continue to collect more data, the need to manage the quality of the data has become more prominent. Data quality management is a set of practices undertaken by a data manager or an organization to maintain high-quality information. This…

The majority of companies choose to outsource their ML solution. It makes sense since AI development demands unique and hard-to-obtain expertise and experience. That is why it's better to work with a team that specializes in this kind of development.…