Phoenix got his start programming shareware games in the 1990s, but then accidentally spent most of his adult life as a teacher. In his free time he enjoys learning languages (both spoken and programming). He is completely addicted to books with no hope of recovery. Phoenix holds an MS in Computer Science from Eastern Washington University.
The headline and subheader tells us what you're offering, and the form header closes the deal. Over here you can explain why your offer is so great it's worth filling out a form for.
Remember:
The headline and subheader tells us what you're offering, and the form header closes the deal. Over here you can explain why your offer is so great it's worth filling out a form for.
Remember:
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Whether you’re reentering the departure city you use for nearly every flight that you take, or you’re once again picking which of the many people in your contacts list named Cathy you want to text, you’ve no-doubt endured time-wasting, repetitive requests for information when using your PC, tablet or smartphone.
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IVAs, natural-language understanding and intent recognition, as practiced by Next IT, are still relative newcomers to the marketplace. As such, I’m often asked how the software we create differs from search engines such as Google, Bing, Yahoo! and the like. After all, don’t these companies’ offerings and those of Next IT deliver information to the user in response to typed (or, recently, spoken) inputs? In very simple terms, this is absolutely true. But look a little deeper, and you’ll discover why key differences in design and capability create a wholly different user experience. Next IT’s natural language platform, Alme, represents a fundamental change in philosophy from search providers in terms of how we approach the problem of findability.
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