It is no secret that Artificial Intelligence is revolutionizing the IT and mobile industry, bringing innovative technologies that can coordinate data between multiple mobile devices and which provide a broad range of applications. Knowledge management systems and advancements in Cloud computing are only some examples of the significant impact of A.I. on innovation, and as the ability of A.I. in identifying, analyzing, filtering and condensing vital information from language and text in real time through cognitive computing and ‘machine learning’ continues to grow (along with the development of ever-more-effective algorithms and ‘neural networks’ which mimic the neurological activity of the human brain), it is expected to bring enormous benefits for businesses in a thriving and competitive market, as it will help speed up productivity levels by eliminating bureaucracy (and excessive ‘data noise’), thus reducing costs, and anticipate fluctuations in consumer trends while enhancing the level of customer satisfaction and market presence/visibility.
The mobile industry in particular is expected to receive a major boost through this acceleration in data delivery and increasing levels of ‘real-time’ accessibility for general users and businesses, and especially thanks to the integration of A.I. ‘conversational assistants’ and language-based interfaces into mobile technology. This transformation will widely impact the Internet of Things, which includes all your online media devices, from your laptop/PC to your smartphone, Tablet and any other device that can access the internet, which will all become more homologous as the level of global digital interconnectivity—and the capability to send and receive data between different devices—increases thanks to the integration of voice-controls and interfaces (Apple’s Siri being a notable example) that can coordinate all your devices simultaneously. It will also as a consequence impact the whole range of industries and the social spectrum—including the transportation industry (cars, airplanes and so on that connect to online media devices) and optimize the organizational structure and success of companies overall.
A great example of a useful resource for A.I. integration with mobile technology is Expertsystem, which develops Artificial Intelligence software solutions that are being used more and more in the smartphone industry. A recent study released by ‘Global Mobile Trends’ in fact shows that the demand for A.I. among the most varied industries is rising and consequently so is A.I. integration with mobile technology in the transportation industry and the ‘smart home’ sector, with the inevitable result of maximizing innovation in mobile as more providers and IT/Cloud/A.I. professionals enter the scene. The recent acquisition of U.S. based A.I. platform developer ‘Viv Labs’ by Samsung in October 2016—which will enable third party developers to build and integrate conversational assistants and language based interfaces into their mobile devices—along with Google’s release of its ‘Google’s Pixel Smartphone’ which also has an integrated A.I. assistant, are proof that the A.I/I.T./Computer industrial conglomerate is quickly gaining momentum.
The findings of the GSMA report have also concluded that there has been a major power-shift in mobile production to Asia and particularly India, which has become a key growth market—even overtaking China—and that this process, in the words of GSMA chief strategy officer Hyunmi Yang, includes a “transition to a smartphone-powered ‘mobile first’ internet, which is delivering a new generation of internet users.”