AI Development

What is Artificial Intelligence?

The science of mimicking or simulating human intelligence through machines, computer programs, and robots to perform a variety of tasks is called Artificial Intelligence or AI.An interesting take on the etymology of AI exists by Jim Hendler, a researcher and one of the key people behind the Semantic Web. According to Hendler, AI is nothing but the technology that makes machines perform tasks better than humans.

When a machine completely accomplishes a task just like its human counterpart would, it is no longer AI. Such a machine is generally considered as a type of technology aided by computer science principles.

Artificial Intelligence started with the intention of creating similar intelligence in machines that we find and regard high in humans. To Create Expert Systems − The systems which exhibit intelligent behavior, learn, demonstrate, explain, and advice its users.It is useful for companies to look at AI through the lens of business capabilities rather than technologies. Broadly speaking, AI can support three important business needs: automating business processes, gaining insight through data analysis, and engaging with customers and employees.

Artificial intelligence in business management

Applications of AI in business management include:

spam filters
smart email categorisation
voice to text features
smart personal assistants, such as Siri, Cortana and Google Now
automated responders and online customer support
process automation
sales and business forecasting
security surveillance
smart devices that adjust according to behaviour
automated insights, especially for data-driven industries (eg financial services or e-commerce)

Artificial intelligence in e-commerce

AI in e-commerce can be evident in:

smart searches and relevance features
personalisation as a service
product recommendations and purchase predictions
fraud detection and prevention for online transactions
dynamic price optimisation

Artificial intelligence in marketing

Examples of AI in marketing include:

recommendations and content curation
personalisation of news feeds
pattern and image recognition
language recognition – to digest unstructured data from customers and sales prospects
ad targeting and optimised, real-time bidding
customer segmentation
social semantics and sentiment analysis
automated web design
predictive customer service

These are only some of the examples of AI uses in business.