How Advanced Is Current AI Web Technology?
Right now, artificial intelligence (AI) seems like a future technology that is years away from being realized. However, it is becoming more and more of an everyday reality instead of remaining in the realm of just a possibility as technology evolves that supports it. As history proves, milestones mark the road to a fully realized AI empowered world. First, there was IBM’s Watson () upstaging humans on Jeopardy. Then the incorporation of AI in in communication to help connect us to one another.
The next big evolution of the technology comes in the forms we currently see: self-driving cars, programs that understand language, and much more. Future AI may be able to make decisions based on trends and needs without being prompted or guided by human rule sets. But, we’ll cross that bridge when we get there. For now, let’s talk AI in web technology.
How Is AI Infused or Integrated?
With retail top of mind during the holiday season and throughout modern life, AI is a big part of how businesses tap the addressable market(s) they serve. According to an article by Shailendra Kumar of SAP, AI is integrated throughout the buying process from virtual mirrors and helping address questions to gesture-recognition systems that translate consumer hand movements into digital actions or commands.
For the modern and current web savvy business, AI takes the form of predictive models and trend responses. A key component in AI is the programming’s ability to respond to stimulus in the form of input, coding changes, environmental factors or other initiators. Currently, predictive search and word processors are simpler examples of AI components.
Making Use Of The Future, Today
Although we don’t have fully capable AI yet, each industry incorporates some element of it. For Import.io, we infuse machine learning into our extractors. Machine learning is the application of artificial intelligence (AI) based on the idea of giving machines access to data and allowing them to learn for themselves. Machine Learning applied to the function of web data harvesting means using past experiences to gain new knowledge that helps us perform tasks more efficiently. By setting an example across one or two web pages it’s possible to train a Import.io extractor to produce accurate and effective web data extraction models.
Our development teams have made it possible to train a Import.io extractors to produce the data sets you need from the web data extraction examples you give it. You can teach it to recognize your needs–better than any other custom script or simple scraping application.
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