Are you a digital native? The answer is a definite "Yes" as we call out Siri and Alexa to respond to our instructions. Artificial Intelligence is the ability for computers to do things that are considered attributes of intelligence: processing language, understanding pictures, detecting patterns, etc. Interestingly, many movies and TV shows have featured predictions as to what A.I. might look like in the future. One such place is the Blockbuster franchise, Star Wars. In addition, in the Marvel Universe, most of the depictions of A.I. originate as digital assistant to either hero or villain.

Construction of potential machines that excels the task of interpreting, analysing and applying data processed by human mind for the betterment of technology and the world as a whole. AI has its presence in almost everything that whirls around us. It would be precise to state "AI has changed the way we look at everything around us. The famous Siri, Cortana, Alexa, Google Assistant are well known voice assistant powered by AI. Healthcare, Education, Media, Transportation, Manufacturing are the notable sectors where AI is of major use.

The aim of a recommender system is to recommend one or more items to users of the system, e.g. A user might be a person, a group of persons, or another entity with item preferences. Content-base Recommender: makes use of features for both users and items. Users can be described by properties such as age or gender. Items can be described by properties such as the author or the manufacturer. Typical examples of content-based recommendation systems can be found on social matchmaking sites.

Anyone eagerly anticipating Goldman Sachs' foray into digital advice will have to wait a while longer. Goldman has decided to delay the launch of its robo advisor until 2021, Chief Operating Officer John Waldron said during a webcast presentation at Bernstein's annual Strategic Decisions Conference. The firm is also slowing its hiring of financial advisors. The postponement comes as new account openings surge at other digital advice providers. However, some firms worry marketing these services in the wrong way may appear out-of-touch amid a health and economic crisis brought on by the coronavirus, analysts say.

Artificial Intelligence is all around us. Perhaps the concept still comes as new to some, but it already has a huge impact in your daily routine. When you contact Uber, Alexa, Amazon or the voice assistants on your smartphone like Siri, Artificial Intelligence (AI) technology works to make life easier for you. Who hasn't search Netflix to find recommendations to watch a movie? AI algorithms have definitely helped influence your decision about what to watch next.

These AI-enabled conversational agents can quickly identify the customer and help answer a variety of questions. If the customer needs to be transferred to a human agent, the intelligent assistant can be used in an augmented manner to help the customer service representative better identify customer issues while on the phone. This kind of personal assistant AI has upside for companies wanting to improve their customer support systems. Unlike human agents who can only handle a handful of conversations at a time, chatbots can be easily scaled to manage thousands of discussions without hindering the speed or accuracy of responses. Intelligent assistants have also become more common in the workplace, as they have the ability to act as augmentative resources for organizations. Rather than having an employee handle repetitive tasks, companies have turned to AI-enabled assistants that are available around the clock to assist with their organizational needs.

In my previous article, I have written about a content-based recommendation engine using TF-IDF for Goodreads data. In this article, I am using the same Goodreads data and build the recommendation engine using word2vec. Like the previous article, I am going to use the same book description to recommend books. The algorithm that we use always struggles to handle raw text data and it only understands the data in numeric form. In order to make it understand, we need to convert the raw text into numeric form.

For decades, Hollywood has made millions off of our fears that artificial intelligences such as HAL in 2001: A Space Odyssey and Skynet in The Terminator could one day control us or even wipe out humanity. Today, we have kindler, gentler, real-life AIs like iPhone's Siri and Amazon's Alexa, and according to a new survey overseen by a team of University of Delaware researchers, many of us are more than happy to include this technology in our daily lives. The results of the survey, released this month, show that almost half of all Americans say they use a voice-activated personal assistant such as Siri or Alexa. Those who use such assistants are particularly likely to support developing AI (63%) and public funding for research on it (46%), while those who do not utilize these services show less support (51% and 37%, respectively). Furthermore, people who use voice assistants are especially likely to see AI as having positive effects on society and to feel hopeful about the technology.

More than 200 million Amazon Alexa devices were at risk of cyber attacks due to a bug found lurking in the smart assistant. Security researchers found a vulnerability that lets cybercriminals obtain voice history data, along with deleting and installing commands and apps. The team discovered a misconfiguration in the system the permitted them to perform actions on the victim's behalf and view personal information. Amazon has since rolled out a patch after the issue was reported to the tech giant and notes it is not aware of any incidents related to the bug. More than 200 million Amazon Alexa devices were at risk of cyber attacks due to a bug found lurking in the smart assistant.

Currently AI is helping to make sense of 2.7 Zetabytes digital data. Mastercard created a Facebook messenger bot using NLP to decipher customer needs and respond as if it were a real person -- to automate handling payments. Netflix saved $1 Billion in annual revenue by personalizing its recommendation algorithm. It avoided thousands of cancelled subscriptions by improving its personalized recommendation algorithm. It used AI to better market its services.