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Google's rollout of artificial intelligence has many in the search engine optimization (SEO) industry dumbfounded. Optimization tactics that have worked for years are quickly becoming obsolete or changing. And is it possible to find a predictable optimization equation like in the old days? That is to say, when changes came, they came wholesale. Large and abrupt movements, sometimes tectonic, were commonplace in the past.

When Apple launched an online shop for smartphone apps, few expected it would result in over 140 billion app downloads over a little more than seven years. And although the number will continue to increase this year, the app economy is reaching maturity. In fact, approximately 23% of apps are abandoned after a single use. Users are spending an increasing amount of time in just two to three apps -- social media and messaging. The number of social media users worldwide is expected to reach 2.95 billion by 2020, and 2.5 billion people already have at least one messaging app on their phone.

Following the previous article about "The Core of the Modern Chatbot," this article gives a deeper understanding about the technologies needed for chatbots. NLP (Natural language processing) and Machine Learning are both fields in computer science related to AI (Artificial Intelligence). Machine learning can be applied in many different fields. NLP takes care of "understanding" the natural language of the human that the program (i.e. This understanding enables the program (i.e. The machine "learns" and uses its algorithms through supervised and unsupervised learning.

On February 16th, Antonio García Morte, CTO (Chief Technology Officer) at the CADC participated in the "Artificial Intelligence Days at ETSIT" to give a workshop to the students of the Technical School of Telecommunications Engineers of the Polytechnic University from Madrid. The workshop was attended by 106 engineering students of different specialties such as; Telecommunications, Computing and Biomedical, interested in all the advances that are happening in the field of artificial intelligence.During the session will be treated in a very interactive way all the advances that are happening in the field of artificial intelligence. Antonio García Morte, conducted a very interactive workshop with students discovering the fundamental theoretical aspects, such as search algorithms, deep learning, or genetic algorithms, to reach the most important practical advances of our time, such as the self-driven car. The teaching objective of the session was to provide to the student a clear mental map of the different areas that make up the artificial intelligence, together with the theoretical foundations and practical applications of each one of them.

We are entering the era of talking machines--and it's about more than just asking Amazon's Alexa to turn down the music. General Electric has built a digital assistant into its cloud service for managing power plants, jet engines, locomotives, and the other heavy equipment it builds. Over the internet, an engineer can ask a machine--even one hundreds of miles away--how it's doing and what it needs. Fast Company got an exclusive demonstration of the technology before its debut at GE's Minds Machines conference in San Francisco. Voice controls are built on top of GE's Digital Twin program, which uses sensor readings from machinery to create virtual models in cyberspace.

We have all heard, if not aware of IBM's cognitive system, Watson. It enables a link between people and computers enabling them to partner mutually. In order to strengthen this symbiotic relationship between human and a computer, IBM has come up with Watson Conversations. This application helps to deploy messaging platform on any device by using natural language algorithms. The best part about this app is, one need not be conversant in technology but few simple clicks can build, test and deploy bots across messaging platforms, physical robots or even mobile devices.

Do you remember ten years ago when phones used to be the prime point of contact for customer-related issues? Businesses could rely on call centre agents to respond to customers in a couple of days. It took a while, and the communication options were limited. Today the rise of e-commerce, multiple communication channels and the proliferation of mobile devices has meant that consumer behaviour has significantly shifted. We now demand access to immediate information and want our issues to be solved instantly at the click of a button. However, while advancements such as the move to mobile and e-commerce have undoubtedly propelled the customer service industry forward, it's the technology that is still evolving, like machine learning and AI, which will have a much larger impact on the future of businesses' customer relationships.

"Mandy Monroe" works relentlessly to reach out to customers of Lee Kia of Greenville in North Carolina to schedule service appointments. A consistent revenue generator, Mandy doesn't complain, gossip, make personal phone calls on company time or pop chewing gum. Mandy doesn't even take bathroom breaks. That's because Mandy is a cyberstaffer driven by artificial intelligence. The virtual assistant, created by the software provider Conversica, conducts email conversations with dealership service customers.

Ford will pour $1 billion over the next five years into an artificial intelligence company tasked with developing the technology that will one day drive its autonomous vehicles. The technology could also be licensed to other automakers in the future, executives said. Pittsburgh-based Argo AI was founded late last year by Bryan Salesky and Peter Rander, who previously worked on self-driving car initiatives at Google and Uber, respectively. The company will include the staff inside Ford that has been developing its virtual driver system for the past several years. In a phone call last week, CEO Mark Fields said the investment will help Ford bring its self-driving cars to market by its previously stated goal of 2021.