Bumper-to-bumper traffic and surface car parks packed to the gunwales are the problems well known in every metropolis. Underground parking and parking blocks are the solution to ills but one has to know there is a vacant parking spot before making a dive into a parking structure.
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Do you know how much money banks lose every year due to fraud? The Financial Regulation News data say banking industry lost $2.2 billion in fraud losses in 2016, 58% of which were related to debit card fraud. ATM Marketplace states that card fraud losses escalated in 2017 and it is projected that card fraud will grow an additional 42% by 2020.
Artificial Intelligence is one of the key drivers transforming the banking industry. Almost every company in finance sector, from a retail bank to a global financial institution, integrates Artificial Intelligence (AI) to save time, boost revenue, identify risks and fraud, and add value to their customers.
Effective and efficient business tools ensuring fast, safe and transparent transactions is one of great challenges in today’s digital world. Billions of people use billions of devices to come online and surf the web. The extensive growth of the web and the need to decentralize processes gave rise to a new model of building scalable and profitable applications, which became a new breed on the ring. These decentralized applications or Dapps do not belong to anyone, can’t be shut down by one person or even group of persons, and have no downtime. How it can be?
The digitalization of the world has made computer and mobile apps an integral part of our lives/ They keep us informed, educate us, help us stay fit and healthy, as well as entertain us and our children. But, the picture may not be as rosy as it seems. There is growing recognition of the fact that young people, and especially children get overly obsessed with their mobile devices and apps.
Trading systems are generally computer software programs which issue buy and sell signals based upon price, volume or other empirical data. By analyzing real-time price data and comparing such data to pre-set pattern recognition inputs, or by running said data through mathematical algorithms generally compiled by the system provider himself, trading signals are generated and then run through an auto-execute applet in order to effect the trades thus indicated.
Big data analytics, predictive analytics, data warehouses – you see all these buzzwords words every day in the media. They are often discussed with regard to finance and manufacturing, though data analysis is of primary importance in healthcare industry also.
Mobile technologies have changed a lot in the way companies do their businesses. This also applies to healthcare. Mobile apps gain popularity in the healthcare industry as they make life easier and help patients and doctors to get and provide better care.