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April 2017, Vol. 5, No. 2

Building applications for AI demands real intelligence from developers

Developing applications for the cloud is yesterday's news. The new vista is artificial intelligence, the ability of applications or devices with embedded software -- think self-driving cars -- to learn from their experiences and continually improve. The challenge for developers is that AI goes far beyond cranking out lines of code to encompass other disciplines, including advanced mathematics, analytics and deep learning. In other words, if you're building applications for AI, there are many things to know before approaching the starting line. Understand what AI is -- and isn't. AI is not a digital counterpart to broad-based human intelligence. Applications for AI, like all applications, are task-oriented -- designed to do one thing and do it well. A cloud-based AI app can examine medical test results and MRI images to arrive at a diagnosis or recommended treatment regimen more quickly and accurately than a physician, but it's not going to replace the surgeon who's about to perform heart surgery. Set limits. AI isn't likely to ...

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