Artificial Intelligence Goes Closer to Business

 

As discussed in our latest article, artificial intelligence and machine learning techniques become tightly related to the cyber security.

We now share our health data with the devices, applications and companies’ servers where the data is stored; we do all our banking online; our smartphones and other smart devices send voice commands to the third-party servers. The data has become a valuable asset and all companies are striving for its collection, and we cannot always be sure that it is protected as it is should be. This is why AnRCloud has already mentioned that protecting our data should be the responsibility of each and every person who benefits from the technological capacities the digital and intelligence economy offers to us.

At the same time, the companies see data protection, privacy and security as their competitive advantage and go chasing for the newest technologies in order to assure the most secure ways of connection and access. The recent days have brought us quite a number of examples how the companies leverage from the artificial intelligence technologies for better user experience and security. Some of these examples are stunningly innovative!

As International Business Times reports, the Halifax bank is, for example, “developing a system where customers can log into their accounts on a smartphone by using their heartbeat as proof of identity”[i]. The approach is considered even more secure than the fingerprint identification as it cannot be reproduced fraudulently. 

Other examples show more use cases of voice recognition – for example a smart combination of biometric voice recognition and language understanding for a personalized driving experience with Nuance’s Dragon Drive platform[ii].

All these examples being crucial, the main trend is still the increasing use of machine learning and artificial intelligence technologies for business. This success is explained by the capacity of analysis of bigger volumes of non-structured data – often represented by natural language.

Privacy protection and security are one of the key areas of such business use, but these are not the only ones. Medicine and finance are the other ones.

Harvard Business Review describes the examples of numerous medical centers being working hand in hand with IBM Watson on improved understanding of diseases and the ability to “recommend personalized courses of treatment”[iii] or financial centers using Watson for a “digital virtual agent” or “wealth advisory”[iv]. The additional value of the intelligent algorithm in all these cases in the constant capacity to learn and improve with the increasing amounts of processed data.

Most of these examples are still in the research phase, but they show the large variety of possible use cases for artificial intelligence and learning algorithms.

Photo credit: pixabay.com

 


 

 

[i] Halifax bank app lets you log in using nothing but your heartbeat by Alistair Charlton for International Business Times, March 13, 2015, available online at http://www.ibtimes.co.uk/halifax-bank-app-lets-you-log-using-nothing-your-heartbeat-1491782, accessed on March 15, 2015

[ii] Connected Car Tech Will Use Biometrics to Offer Personalized Driving Experience by Alex Perala for Mobile ID World on January 7, 2015, available online at http://mobileidworld.com/connected-car-tech-will-use-biometrics-to-offer-personalized-driving-experience, accessed on March 22, 2015

[iii] Artificial Intelligence Is Almost Ready for Business by Brad Power for Harvard Business Review on March 19, 2015, available online at https://hbr.org/2015/03/artificial-intelligence-is-almost-ready-for-business, accessed on March 22, 2015

[iv] Artificial Intelligence Is Almost Ready for Business by Brad Power for Harvard Business Review on March 19, 2015, available online at https://hbr.org/2015/03/artificial-intelligence-is-almost-ready-for-business, accessed on March 22, 2015