Ya ! in 20th century it seems to be someone is peeking there.
You visit certain places to enjoy weekends, talk to your colleagues about your plans and purchase something rejuvenating from internet .
And next time your favorite shop reminds you what you would like to have in your empty stash , where you would like to roam in this summers…..
But how this happens , who is keeping an eye on you , who gonna keep track of your activities and how ?
Lets answer the above queries…..
“In the era of technology , data is fuel and for organizing this big resource , many emerging technologies proves boon …..and one such is Artificial Intelligence , which seems to be ruling this era , so far…. with profitable decision making facility and services”
Under the umbrella of AI , there is one thing which is rising across all the underlined technologies to depict us that computer go beyond “what we know how to order it to perform” and learn on its own how to perform a specified task?
Artificial Intelligence :
Came in play in early 50’s, where it was an effort to automate intellectual tasks normally performed by humans.
Many experts believed that human-level artificial intelligence could be achieved by having programmers handcraft a sufficiently large set of explicit rules for manipulating knowledge. This approach is known as symbolic AI, and proved suitable to solve well-defined, logical problems, such as playing chess, but turned out to be intractable to figure out explicit rules for solving more complex, fuzzy problems, such as image classification, speech recognition etc.
Deep Learning :
Deep learning, or layered representations learning is a subfield of machine learning with an emphasis on learning successive layers of increasingly meaningful representations.
Neural Network :
“Similar to most complicated mechanism regarding human brain , artificial neural network is developed keeping patterns , orientations of patterns in mind.”
A neural network is a network or circuit of neurons, or in a modern sense, an artificial neural network, composed of artificial neurons or nodes. Thus a neural network is either a biological neural network, made up of real biological neurons, or an artificial neural network, for solving artificial intelligence (AI) problems.
For what purpose ANN is used ?
Multiple use cases are solved using ANN ….and list go so far in this 20th technology …
ANN’s can be used for a range of tasks.
These include analyzing data, transcribing speech into text, powering facial recognition software, or predicting the weather and many more.
Thus above we discussed how the technical fox comes to know about human behavioral patterns ?
The answer is Artificial Intelligence and its sub-fields enhance the user experience…
Developing Targeted Marketing Campaigns
Through unsupervised learning, Artificial Neural Networks are able to identify customers with a similar characteristic.
This allows businesses to group together customers with similarities, such as economic status or preferring vinyl records to downloaded music.
Supervised learning systems allow Artificial Neural Networks to set out a clear aim for your marketing strategy.
Like unsupervised systems, they can also segment customers into similar groupings.
However supervised learning systems are also able to match customer groupings to the products they are most likely to buy.
This application of technology can increase profits by driving sales.
Starbucks has used Artificial Neural Networks and targeted marketing to keep customers engaged with their app.
The company has integrated its rewards system location and purchase history on their app.
This allows them to offer an incredibly personalized experience, helping to increase revenue by $2.56 billion.
Thus , managing and planning the stuffs become more easier with the Artificial Intelligence and more precise the ANN helps in achieving many of the industrial use cases.
Happy learning and exploring 🤗 ……..