AI has introduced chatbots which eventually proved to be an efficient way for customer participation. The chatbots are responsible for providing the customers with real-time solutions, assistance, and commenting that eventually leads the customers to engage more with the website.

PANEL IV – ARTIFICIAL INTELLIGENCE IN LAW: ARTIFICIAL INTELLIGENCE v. HUMAN JUDGMENT • Georges-André Silber: Artificial Intelligence Applied to Legal Data: How Does It Work? • Mathieu Coulaud: How Is Artificial Intelligence Transforming Law?

Your customer will receive an automatic and personalized SMS message on their mobile phone that will inform them of their debt and offer the option to pay it or leave a commitment to pay through a link. If they press the first option, issue solved! If they decide to do it at another time, they can state a payment commitment. If 3 days have passed since the customer received the SMS and they did not take any action, they will receive an interactive call through Voice. Through the phone, a bot will notify you about your debt and payment options.

In this chapter, we give an introduction to symbolic artificial intelligence (AI) and discuss its relation and application to multimedia. We begin by defining what symbolic AI is, what distinguishes it from non-symbolic approaches, such as machine learning, and how it can used in the construction of advanced multimedia applications. We then introduce description logic (DL) and use it to discuss symbolic representation and reasoning. DL is the logical underpinning of OWL, the most successful family of ontology languages. After discussing DL, we present OWL and related Semantic Web technologies, such as RDF and SPARQL.

I noticed that drones have become very popular for both business and personal use. When I say drones, I mean quadcopters. I admit, they're pretty cool and fun to play with. They can take amazing videos and photos from high altitudes that would otherwise be difficult or costly. As cool as they are, the majority of the consumer market uses it for one purpose: a remote control camera.

In an earlier post, "What Type of Artificial Intelligence Do You Need?", two paradigms of artificial intelligence are described; deterministic and statistical. Deterministic is similar to speaking with an expert. In this blog post, we will consider how Deterministic Artificial Intelligence can be applied to Client Suitability, which is a well-known regulatory challenge in financial services. Deterministic A.I. can help financial institutions process high volumes of Client Suitability analysis. By automating large amounts of decision-making and data analysis, financial institutions can limit their regulatory risk and increase efficiency.