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It's hard to make real money selling virtual goods

Engadget

There's plenty of news right now about how people are trying to make real money through video games, and not just by trying to get a taste of that Ninja game-streaming fortune. Most recently, people are selling items for hard cash inside the new Animal Crossing: New Horizons. As the coronavirus takes a hammer to the economy and a number of people are at risk of penury, selling goods inside the game seems like a good idea. But while there's plenty of hype about the potential for virtual economies to thrive as the real-world ones collapse, the truth is a little different. If you're unfamiliar, Animal Crossing: New Horizons is a sim game for the Nintendo Switch in which you build a life for yourself in a community of adorable, anthropomorphic animals.


Facebook knew its algorithm made people turn against each other but stopped research

The Independent - Tech

Facebook executives took the decision to end research that would make the social media site less polarising for fears that it would unfairly target right-wing users, according to new reports. The company also knew that its recommendation algorithm exacerbated divisiveness, leaked internal research from 2016 appears to indicate. Building features to combat that would require the company to sacrifice engagement – and by extension, profit – according to a later document from 2018 which described the proposals as "antigrowth" and requiring "a moral stance." "Our algorithms exploit the human brain's attraction to divisiveness," a 2018 presentation warned, warning that if action was not taken Facebook would provide users "more and more divisive content in an effort to gain user attention & increase time on the platform." According to a report from the Wall Street Journal, in 2017 and 2018 Facebook conducted research through newly created "Integrity Teams" to tackle extremist content and a cross-jurisdictional task force dubbed "Common Ground."


What Machine Learning Trends Can We Expect for Manufacturing in 2020? ManufacturingTomorrow

#artificialintelligence

Industry 4.0, or the fourth industrial revolution, has called for a merger between automated solutions and smarter, more effective operations through the application of real-time data collection. Essentially, IoT and data-based technologies will feed real-time content into an AI platform, which will then use machine learning algorithms to analyze and extract actionable insights. Beyond that, the data solutions may support additional power systems by controlling robots or informing various processes to influence output. In other words, machine learning and AI allow for a degree of autonomy in the field like never seen before. While they are incredibly promising technologies, they're still relatively new to the industry, which means manufacturers are looking for fresh and innovative ways to apply them.


AI for IT Mist Systems

#artificialintelligence

While other vendors are trying to bolt AI on top of legacy platforms, Mist built an AI engine right into the platform. This eliminates the need for overlay sensors, data collector hardware, and extra software. But you cannot build an AI engine overnight. This has been a multi-year journey for Mist, where we painstakingly brought together the following key components.


How virtual schools are engaging 100,000 students at EuroKids International - Express Computer

#artificialintelligence

EuroKids International, India's leading early childhood education company, has a portfolio of six brands – EuroKids Pre-School, Kangaroo Kids Pre-School, EuroKids DayCare, EuroSchool and Billabong High International. Major investments in technology, has enabled the company to continue engagement with its 100,000 students across the chain of schools, during the lockdowns. "As a responsible educational organisation, we are mindful of our duties towards the next generation at all times, and particularly during times like these. We use technology and digital platforms to enable and enhance the learning experience for our students. Even during the lockdown, our virtual schools are engaging with students," says Prajodh Rajan, Cofounder & CEO, EuroKids International, further stating that in addition to academic and non-academic learning engagements, they have rolled out programmes to help children stay positive during the lockdown phase.


Singapore to establish AI framework for 'fairness' credit scoring metrics

ZDNet

Singapore has kicked off efforts to develop a framework to ensure the "responsible" adoption of artificial intelligence (AI) and data analytics in credit risk scoring and customer marketing. Two teams comprising banks and industry players have been tasked to establish metrics that can assist financial institutions in ensuring the "fairness" of their AI and data analytics tools in these instances. The Monetary Authority of Singapore (MAS) said a whitepaper detailing the metrics would be published by year-end along with an open source code to enable financial institutions to adopt the metrics. These organisations then would be able to integrate the open source code into their own IT systems to assess the fairness of their AI applications, the industry regulator said in a statement Friday. It added that the open source code would be deployed on the online global marketplace and sandbox, API Exchange (APIX), which enabled fintech and FSI companies to integrate and test applications via a cloud-based platform.


10 Ways AI Can Improve Voice Of The Customer Programs

#artificialintelligence

Customer's expectations are the guard rails that guide how their relationships progress with any business. The pandemic has made the predictable unpredictable, erasing marketing personas of the past and re-writing them in real-time. Old guard rails and expectations are changing fast. Having an accurate outside-in view from the customer's perspective is the value VoC programs deliver, with the best ones providing data to guide strategy. Pure e-commerce orders have grown 110% since January, and e-commerce revenue has increased by 96%.


Artificial Intelligence Startup Accern Raises $13 Million In Series A To Help Enterprises Adopt AI More Easily

#artificialintelligence

When Kumesh Aroomoogan was working in the public finance department at Citigroup, he spent hours looking at financial statements, copying and pasting from one document to the next, arranging and rearranging his Excel sheet, and performing a lot of repeated manual tasks. "They were scaling on labor versus technology," Aroomoogan says. "I thought there has to be a better way to automate this entire process." So in 2014, Aroomoogan, who had an idea for a product, teamed up with Anshul Vikram Pandey, a data visualization PhD student at NYU at the time, and the two started working in Aroomoogan's basement in Queens, NY. What came out of the effort of the two entrepreneurs is Accern, an enterprise whose AI Platform contains ready-made solutions for the financial service industry.


Artificial Intelligence Arms Race Creating Multi-Billion-Dollar Opportunity

#artificialintelligence

Artificial intelligence is the next big military advantage. For example, in early 2019, the U.S. announced a strategy for harnessing AI in many parts of the military including. Intelligence analysis, decision-making, vehicle autonomy, logistics, and weaponry, reports Technology Review. In fact, according to the U.S. Army, "The AI market was more than $21 billion in 2018, and it is expected to grow almost nine times larger by 2025. AI systems provide predictive analysis to interpret human inputs, determine what we most likely want, and then provide us with highly relevant information."


Bluecore raises $50M for its first-party, AI-based marketing automation tools – TechCrunch

#artificialintelligence

As more online brands look for ways to move beyond third-party cookies as a way of gaining more direct insights about their users and customers, a startup that has developed a platform to help them has raised a big round of funding. Bluecore, a marketing technology firm that uses data gained from direct marketing like email, social media, site activity and combines that with machine learning to make better predictions about who might want to buy what among its customers, is today announcing that it has raised $50 million. The funding will be used to build the next generation of the Bluecore platform, expected later this year, which will tap into aggregated engagement data (but not actual browsing individuals) from "hundreds" of brands, which customers can combine with their own first-party data -- based on consent-based, first-party customer IDs -- to develop better targeting insights. "There are a lot of systems that focus on customer data and transactional data but no system that focuses on the product and product catalogue, which we think is the key asset," said Fayez Mohamood, the co-founder and CEO, in an interview. He says that the company manages over 200 million products and SKUs, second only to Amazon's and bigger than Walmart's, that companies can matches with consumer identities (from email and other direct channels).