Artificial Intelligence (AI) is essentially a technique used to enable computers to'mimic' human behaviour. Some even see it as synonymous with an exact replica of the human thought process. However, when it is used in marketing we're not necessarily talking about actual artificial intelligence, but rather applications of the sort, including machine learning and natural language processing. AI presents myriad opportunities for businesses that use large sums of data. Applications such as machine learning, for example, enable businesses to uncover particular insights within their datasets and clearly see patterns in that data.
Punchh, the leader in digital marketing solutions for physical retailers, today announced the launch of Punchh Deep Sentiment Analysis. The new product allows brands to extract valuable insights from customer reviews using Punchh's natural language comprehension engine built with industry-leading deep learning and artificial intelligence. Its natural language processing model achieves human-level performance, defined as more than 93 percent accurate, and features multi-language support. "In today's hyper-competitive climate, brands need to do everything they can to foster and nurture direct customer relationships, and paying attention to customer reviews is an essential part of that," said Shyam Rao, CEO of Punchh. "Manually reading every review is prohibitively time-consuming for most retailers, which leads to slower response times and poor customer experiences. Our solution uses AI and machine learning to help brands analyze reviews at scale and immediately identify critical information so they can focus on high-level insights and make quick decisions to strengthen customer relationships and increase loyalty."
"Privacy cannot be a luxury good offered only to people who can afford to buy premium products and services," declared Sundar Pichai, the chief executive officer of Google, in a New York Times op-ed this week. "Privacy must be equally available to everyone in the world." Pichai's column, published in conjunction with Google's annual developer conference, was a two-pronged public relations offensive: an attempt by the company that has been one of the chief architects and primary beneficiaries of digital surveillance to wrap itself in the mantle of privacy, while simultaneously taking a swipe at one of its competitors. In Silicon Valley, "privacy" is in 2019 what reclaimed wood was in 2010: a must-have design feature that signals a certain degree of authenticity and hipness and could also double as a weapon in a pinch. Pichai's broadside, in case you're not attuned to the subtleties of tech CEO shade, was aimed at Apple.
Human emotions are complex and difficult to decode. However, recent advancements in artificial intelligence and deep learning, are enabling new leaps in sentiment analysis. Put simply, sentiment analysis is a machine decoding human emotions for a specific purpose. Applications vary from mining opinions to gauging political inclinations to see how product reviews are affecting real-time sales. Social media companies actively use sentiment analysis to root out offensive and prejudiced content.
In this paper, we consider the problem of open information extraction (OIE) for extracting entity and relation level intermediate structures from sentences in open-domain. We focus on four types of valuable intermediate structures (Relation, Attribute, Description, and Concept), and propose a unified knowledge expression form, SAOKE, to express them. We publicly release a data set which contains more than forty thousand sentences and the corresponding facts in the SAOKE format labeled by crowd-sourcing. To our knowledge, this is the largest publicly available human labeled data set for open information extraction tasks. Using this labeled SAOKE data set, we train an end-to-end neural model using the sequenceto-sequence paradigm, called Logician, to transform sentences into facts. For each sentence, different to existing algorithms which generally focus on extracting each single fact without concerning other possible facts, Logician performs a global optimization over all possible involved facts, in which facts not only compete with each other to attract the attention of words, but also cooperate to share words. An experimental study on various types of open domain relation extraction tasks reveals the consistent superiority of Logician to other states-of-the-art algorithms. The experiments verify the reasonableness of SAOKE format, the valuableness of SAOKE data set, the effectiveness of the proposed Logician model, and the feasibility of the methodology to apply end-to-end learning paradigm on supervised data sets for the challenging tasks of open information extraction.
The federal government wants to hold Mark Zuckerberg personally accountable for Facebook's privacy woes. According to a report in the Washington Post, the Federal Trade Commission (FTC) is currently investigating Facebook and looking into whether the Facebook's founder and CEO should be held liable for the company's data mishandling and privacy issues. Facebook and the FTC have been in discussions for more than a year over the agency's probe into the company. Sources familiar with these discussions say that the FTC is mulling over an unusual decision to hold Zuckerberg himself accountable for the company's data leaks and breaches. The FTC does not regularly go after executives when levying fines or other penalties for a company's wrongdoings.
A whopping 60 percent of people in a new poll say they don't trust Facebook to protect their data. The poll comes courtesy of NBC News and the Wall Street Journal, which also found that more than half of Americans view aspects of Facebook and social media in general in a negative light. SEE ALSO: Facebook's plans for a'high quality news tab' sure sound like a swipe at Apple News That's perfectly understandable, given Facebook's reputation over the past couple of years. Privacy scandals have rocked Facebook on a regular basis, including the revelation that user passwords were stored in plain text just last week. Facebook CEO Mark Zuckerberg said Facebook would become more privacy-focused in early March, but there are reasons to be skeptical of the company's commitment to data rights.
Personal Facebook data was uploaded to be publicly accessible on the internet, the company has admitted. Hundreds of millions of records which included people's activity on the site had been stored on the internet in a way that allowed anyone to access them, cybersecurity firm UpGuard found. In all, more than 540 million of the records, including account names, comments and likes, were publicly available on Amazon's cloud servers after they were uploaded by two third-party apps. We'll tell you what's true. You can form your own view.
More than 540m Facebook records were left exposed on public internet servers, cybersecurity researchers said on Wednesday, in just the latest security black eye for the company. Researchers for the firm UpGuard discovered two separate sets of Facebook user data on public Amazon cloud servers, the company detailed in a blogpost. One dataset, linked to the Mexican media company Cultura Colectiva, contained more than 540m records, including comments, likes, reactions, account names, Facebook IDs and more. The other set, linked to a defunct Facebook app called At the Pool, was significantly smaller, but contained plaintext passwords for 22,000 users. The large dataset was secured on Wednesday after Bloomberg, which first reported the leak, contacted Facebook.
In what seems like a broken record, Facebook is facing another scandal related to the transparency of its user data. The UpGuard cybersecurity firm reports that it uncovered two cases in which massive buckets of third-party Facebook app data were left exposed on the public internet. In one such case, a Mexico-based media company named Cultura Colectiva amassed 146 gigabytes of data with more than 540 million records. The records are said to include user comments, likes, reactions, account names, Facebook IDs and more. Don't yell, text: The new normal of how families'talk' at home Another exposure, UpGuard says, came from a since-discontinued Facebook-integrated app called At The Pool and was apparently posted on a public Amazon cloud server.