Original article can be found here (source): Artificial Intelligence on Medium
What is AI and How It Being Used in e-Commerce
What is Artificial Intelligence?
Artificial intelligence is a computer science branch that focuses on machine-driven intelligence (i.e., non-human intelligence).
Artificial Intelligence, The Past
Artificial Intelligence (AI) history started in the antiquity, with myths, stories and rumors of artificial beings created by master craftsmen with intellect or consciousness. Classical philosophers planted the seeds of modern AI, who tried to characterize the mechanism of human thought as the mechanical manipulation of symbols. This research resulted in the 1940s invention of the programmable digital computer, a system based on the mathematical reasoning’s abstract nature. This system and the concepts behind it motivated a number of scientists to start discussing the possibility of creating an electronic brain seriously.
The field of AI research was developed during the summer of 1956 at a workshop held on the Dartmouth College campus. Those who attended would become the leaders of AI research for decades. Some of them believed there would be a computer as intelligent as a human being in little more than a century and millions of dollars were given to make this dream come true.
Finally it became clear they had massively underestimated the project’s complexity. Throughout 1973, the U.S. and British Governments began funding undirected work into artificial intelligence throughout response to criticism from James Lighthill and continuing pressure from congress, and the tough years that followed would later be known as an “AI winter.” Seven years later, the Japanese government’s ambitious initiative encouraged governments and industry to provide AI with billions of dollars, but by the late 80s the investors were disillusioned with the absence of the requisite computer power (hardware) and withdrawn funding again.
Investment and interest in AI boomed in the first decades of the 21st century, when machine learning was successfully applied to many academic and industrial problems due to innovative techniques, strong computer hardware implementation, and large data sets collection.
Machines should think?
Science fiction had familiarized the world with the idea of artificially intelligent robots in the first half of the 20th century. This began with the “heartless” Tin man from the Wizard of Oz and ended with the humanoid robot Maria in Metropolis impersonated with. By the 1950’s, we had a generation of scientists, mathematicians, and philosophers culturally assimilated in their minds with the concept of artificial intelligence (or AI). One such individual was Alan Turing, a young British polymath who explored artificial intelligence as a mathematical possibility. Turing indicated that people use the knowledge available as well as justification to solve problems and make choices, so why can’t computers do the same? It was the conceptual basis of his 1950 paper, Computing Machinery and Intelligence, in which he explored how to construct and test intelligent machines.
Everywhere is Artificial Intelligence
We are now living in the era of “big data,” an era in which we have the capacity to collect vast quantities of information that are too difficult for a person to process. Under this regard, the application of artificial intelligence has already been very successful under various industries such as technology, finance, marketing, and entertainment. We have seen that even though algorithms do not greatly improve, big data and massive computing simply allow artificial intelligence to learn by brute force. There may be proof that the law of Moore slows down a bit, but certainly the rise in data has not lost any momentum. Breakthroughs in physical science, mathematics, or neuroscience all act as possible escapes through Moore’s Law’s ceiling.
What’s in store for the future then? AI language looks like next big thing in the near future. It’s literally all under way. I can’t remember the last time I called a corporation and spoke directly to a human being. Only I am being called robots these days! One could imagine engaging in a complex conversation with an expert program, or having a conversation being translated in real time into two separate languages. We should also hope (and this is conservative) to see driverless cars on the road over the next twenty years. In the long run, the objective is general intelligence, which is a computer which in all tasks exceeds human cognitive abilities. It is along the lines of the autonomous robot that we are used to seeing in films. To me, that will be done in the next 50 years seems inconceivable. Even if there is potential, the ethical issues will serve as a powerful barrier against fruition. When the time comes (but even better before the time comes), we’ll need to have a serious discussion about computer policy and ethics (ironically both fundamentally human subjects), but for now, we’ll allow AI to improve steadily and run amok in the society.
How Higher Sales & User Experience powers eCommerce businesses using AI
One of the hottest subjects in this ever-changing world is artificial intelligence.
AI is a path forward with creative and smart business approaches to bring to the industry. To remain in the market it adds important elements to the e-commerce platforms.
Artificial Intelligence changing the conventional consumer experience Marketing practices have reached various heights in the different industries over the last few years. AI has inspired consumers with the many high-tech interactions ranging from shops to blogs, and from chatbots to voice helpers. Such evolution has allowed customers to approach the brand services from any angle at any time. AI disrupted the entire eCommerce industry right from the start with smart solutions.
Digital Search Engine forwards
We can therefore claim that AI is a guided technology which allows for visual search. The user can get correct results with a single button. To order to distinguish product names and labels on the search engine, an picture may be helpful to seeking better colour, size and price. Users can get the desired results based on image.
AI supports by either providing text or pop-up tips for free. Content relevant to the searches is monitored and recommendation approaches users accordingly. Company recommendation therefore feels giving the users a personal touch. Analyzes of the search engine with AI define user habits relevant to the brands they follow.
As technology evolves it makes the shopping experience worthwhile. AI provides more engaging and pleasurable solutions for customers. Voice support is here for real-time smooth user experience. Big giants offer the users the voice power to better advice and review.
Here are some AI companies evaluating customer feedback
1. Aspectiva offers integration of the aspect-analysis and product search, focusing on the impressions of product characteristics and capabilities by reviewers. Aspect extraction, performed by unsupervised machine learning, is combined with behind — the-analytics to expose “the true uses of every product and produce suggestions based on the complete user experience.” Graphic results — product aspects and sentiment scores, as seen in the picture — can be embedded in an online exchange platform. The aim is to improve conversion rates and sales revenue according to the Brandwatch report cited above. Aspectiva also offers an API that allows clients to create their own front ends to Aspectiva analytics, as well as a search feature that is aware of product attributes.
Aspectiva deploys an NLP-combination that “scans consumer-and learns what people say when they are pleased or unhappy with the items they write about, beyond the obvious’ words of feeling’ themselves… assessing emotion with objective sentences as well.”
2. In addition to brand safety, Revuze focuses on ingredients and product characteristics with a few differentiators. Another is focused on finding various ways in which people speak about a specific subject, and another is the ability to detect sentiment in phrases that lack obvious clues such as using terms like “nice,” “happy,” and “terrible.” Review analyzes are not limited to reviews; the company’s software applies NLP for subject, keyword, and sentiment extraction from survey responses, call-text, and Source text is analyzed using semi-machine learning against category taxonomies created. The company graduated in the fall of 2015 from the Nielsen Innovate incubator in Caesarea, Israel, and turned its attention to product experience management (PEM), enabling consumers to “measure consumer understanding of the integrated product and service experience.”
3. Essentially the same as Aspectiva, Avixd uses the AI and NLP optimization technologies that can be used to collect, process and publish the ratings and user feedback data. They give us on this website to take a look at in-depth product reviews that we can use to decide if we’re going to purchase it, but we’re not really sure about other things.
Customer reviews are a gold mine and artificial intelligence is a simple and cost-effective way to turn them into insights that are necessary. Learn how AI can help you turn good feedback in this VB Live event into a better product, find out what really matters to customers, and more. Consequently reviews are relevant and the feelings expressed are crucial. You need automated natural language processing (NLP) and other types of AI to understand content analysis at web and social scale and pace, including sentiment.
They are easy to keep track of individually, and on a small scale, you understand precisely why keeping an eye on them is important. You have the ability to answer, thank you or a way to fix a problem or mitigate a negative experience and establish a connection with your customer. You may also keep an eye on problems that tend to continue to pop up with the same problem, a similar user interface region, or repeated requests for a particular new function.
Their goal is to support people like you, to know the product they are going to purchase in more detail. Thanks to AI and natural language processing technologies, they have made every effort to provide their reader with product coverage. To help you determine if the product is the right one for you, they gather useful details from online consumer feedback instead.
Once we know how effective AI is coupled with NLP, we can use loads of data processed from raw material to finished data that can help us evaluate valuable knowledge about what we were searching for or even what we didn’t know existed. As an internet user, it is up to you to select which site or data you will be using as your guide.