Developers or businesses can decide to change the outlook of their mobile applications for several reasons. It could be that you’re branching out toward a new audience, your interface is dated, customer satisfaction is at an all-time low, or it could even just be that you’re curious about trying something new. Whatever the case may
Since 1925, a branch of computer science called artificial intelligence has come into existence, and the endorsement of AI in different business enterprises has increased due to the covid-19 pandemic. Artificial intelligence has become relevant in almost every industry, and the banking sector has not been excluded because AI in banking has made the sector
When it comes to developing apps, the key is to make them as accessible and available to as wide an audience as possible. That is why cross-platform app development is gaining so much traction in the app developers’ community. It is the process of writing code for applications that can be used on multiple platforms,
“Artificial intelligence” as a term in a field of academic discipline was first coined by John McCarthy, a computer scientist, in 1956. Since the late 1950s, AI has seen many stages, some colored by disappointment and a fall in the tech community, others colored by renewed interest and a rise in funding and development. Now,
Staff augmentation has been around for a while now and has been a powerful tool in improving and upscaling many businesses the world over. It is also often likened to outsourcing. While outsourcing and staff augmentation perform similar functions and could be said to sometimes deliver similar results, a notable difference stands in the middle.
Digital transformation has revolutionized every industry, including the real estate industry. As customer satisfaction evolves, real estate businesses must keep up in order to remain competitive. The real estate industry has been slow to adopt digital transformation, but the recent coronavirus pandemic has accelerated the process. The covid-19 pandemic has highlighted many challenges in the
In April 2020, McKinsey reported an unprecedented surge in telehealth usage, with a 78-fold increase compared to pre-COVID-19 levels. The media was filled with stories of people waiting in long hospital queues, patients being treated in hospital corridors, and even some who passed away while waiting for a hospital bed. It was a heartbreaking sight
The world is moving towards machine learning, becoming an evident and widespread option for developers and users today. In April 2021, Twitter introduced its responsible machine learning initiative. It was hardly a surprise because companies like Google and Microsoft had already taken steps towards compliant, secure, and human-centered artificial intelligence and ethics. If you search