Machine learning in self-driving cars is the way to use technology, whose scope of the application shows rapid expansion recently. Autonomous vehicles (also known as AV) are a "new black" in the world of navigation, long-distance trucking, and industrial and logistic automation as a whole. According to Globe Newswire, the global machine learning market is going to grow at a CAGR of around 40.1% over the forecast period 2019 to 2026. The market ...

The FinTech industry has evolved at a rapid pace over the last few years. Banking and Finance show fundamental shifts in technologies applied, thanks to mobile products' skyrocketing and machine learning (abbreviated as ML). Hence, there is more scope for startups in the industry. It was reported that FinTech startups in the United States raised more than $12 billion in funding. This numbers out-growing forecasts by 30%. And note: spending ...

Many have invested in voice technologies driven by artificial intelligence, abbreviated as AI. Now it produces accurate responses that aim to mirror human reactions acutely. Artificial intelligence and voice recognition technology has now become more ubiquitous and accepted by major enterprises, start-ups, and governmental industries. However, this hasn’t been free of trust concerns. While these voice technology products have gained the appeal of the public consumer, there is a lack ...

The Internet of Things is a technology that promises a revolution in both domestic and professional environments. By connecting all the devices using a single network, IoT creates something that will affect life and improve the way we live. Driving this technology are some tools that make it a possibility. List of Top 10 Tools for The Internet of Things Tessel 2 The consummate hardware tool, Tessel 2, provides reliable ...

While artificial intelligence is considered the golden age within technology and projects, it is not as plain sailing as it sounds. There are various obstacles that engineers and developers a-like will face because machine learning problems require a whole different skill set than just coding and logic definition. Automation has more applications than ever before. Understanding the limitations and challenges ML specialists face is essential so that expectations can be simmered regarding ...

In the years ahead, the banking sector is waiting for a growing fintech impact on the banking industry. "Uberization" may reduce the number of staff in the industry to 50%. Profitability in some areas of banking services will fall to more than 60%.   It was stated by the former head of one of the largest banks in the UK, Barclays Anthony Jenkins, back in 2015. He forecasted that the revolution in financial institutions ...