Artificial Intelligence (AI) systems are becoming self-aware. They’ve come to realize what many of today’s systems engineers now know to be true: humans have reached their limit in dealing with the avalanche of information and how to control it.
The tipping point was reached when rivers of information from social networks and mobile devices poured into data silos and, like Mickey’s Sorcerer's Apprentice, we started drowning in an overflow of data.
The oracles of AI saw what was happening and gave birth to an industry that will shape the work of programmers and computer systems engineers for decades to come—the AI platform. Spearheaded by the likes of Apple’s Siri, AI services will alter how engineers and consumers deal with data.
Lars Hard, founder and CEO of the AI platform Expertmaker believes innovations in mobile technology will shape new interfaces and capabilities. “It doesn’t stop there. There will be a massive change to the structure of the Internet as people depend more upon smart virtual assistants to manage much of their online presence. The focus is shifting from simple delivery of unstructured data—texts, sound files, images, videos, forum posts and short messages, etc.—to a more comprehensive data analysis and a complimentary set of advanced functions.”
AI services will provide filtration and organization much like the human mind does when it needs to access and store data. “Therefore, development innovation will primarily focus on various approaches to the smart extraction of usable information in unstructured data—and AI will play a central role in teaching our machines how to understand the data they are processing in a deeper, more meaningful way,” explained Hard.
Using the same artificial intelligence platform as Siri, the personalized web search tool, Trapit features 100,000 clean sources to search in real-time with regular updates. Google intends to exploit AI to power its Project Glass, the augmented reality search device that could dramatically change the face of mobile computing.
Creative Virtual’s V-Person is another example of how AI assistance can be commercially acceptable. Embraced by companies like HSBC, Virgin Media, ASDA, and Verizon, V-Person can converse with digital users in real time, 24/7. An animated replica of a real person creates the illusion of talking to a live individual who comprehends the context of questions and can carry on entire conversations with the caller.
AI applications go beyond virtual assistance. To combat online data theft, Kount, Inc. offers an effective AI technology based on supervised machine learning. This statistical learning theory unites historical training data with predictive functions that process real time threats to instantly assess card-not-present transactions.
Adding AI technology to a portable emergency room, LifeBot 5 connects ambulances to hospitals with a patient’s data and video feeds. The machine’s electronic module monitors a patient’s entire physiological system during transport to the ER.
Engineers designing tomorrow’s data service systems will have to consider integrating AI technology into their systems. From online security and medicine to social media and mobile applications, things are simply becoming too complex for humans to handle.
Image courtesy of ammer/FreeDigitalPhotos.net
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