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How to Detect Fakes During Global Unrest Using AI and Blockchain - InformationWeek

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Counterfeiters have leveraged consumer fear and uncertainty created by coronavirus (COVID-19) to flood the market with fakes, misinformation and counterfeits, taking advantage of demand and panic buying for essential goods and services. As one example, social media bot accounts are causing life-threatening coronavirus misinformation to spread across the internet. The Reuters Institute for the Study of Journalism and the Oxford Internet Institute recently released the results of a study that reviewed 225 pieces of COVID-19 misinformation rated false or misleading by fact-checkers. The research found that "false (COVID-19) information spread by politicians, celebrities, and other prominent public figures" accounted for 69% of total engagement on social media, even though their posts made up just 20% of the study's sample. Likewise, counterfeit N95 masks, test kits and ventilator parts have posed challenges for governments across the globe trying to keep their populations safe during COVID-19.


Are AI Machines to Trust more than People?

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Artificial Intelligence (AI) is the sub-domain of computing. The goal of research for Artificial Intelligence is to develop programs (software), which will enable computers to behave in a way that is characterized as intelligent. The first researches relate to the very roots of computing. The idea of creating machines that will be able to perform various tasks intelligently was the central preoccupation of computer science researchers who ventured to research artificial intelligence throughout the second half of the 20th century. Today, research in artificial intelligence is focused on expert systems, translation systems in limited domains, the recognition of human speech and written text, automatic proofers of the theorem, as well as the constant interest in creating generally intelligent, autonomous agents.


Modelling Credit Card Fraud Detection

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Credit card frauds are a "still growing" problem in the world. Losses in frauds were estimated in more than US$27 billion in 2018 and are still projected to grow significantly for the next years as this article shows. With more and more people using credit cards in their daily routine, also increased the interest of criminals in opportunities to make money from that. The development of new technologies puts both criminals and credit card companies in a constant race to improve their systems and techniques. With that amount of money at stake, Machine Learning is surely not a new word for credit card companies, which have been investing on that long before it was a trend, to create and optimize models of risk and fraud management.


ZineOne's Intelligent Customer Engagement Platform Now Available

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ZineOne, whose Intelligent Customer Engagement (ICE) platform provides enterprise brands the power to offer helpful, timely, and relevant online shopping experiences, announced its availability on Microsoft AppSource, an online cloud marketplace providing tailored line-of-business solutions. ZineOne provides an AI-driven personalization platform that delivers real-time intelligent customer experiences in every key moment, every time. The ability to predict intent and intercede on transactional session outcomes in-the-moment has seen an average revenue lift of 10 percent across visitors. Companies choose AppSource and ZineOne for robust computing capabilities and streaming machine learning capabilities, which allow the platform to scale as demand intensifies. "Microsoft AppSource and ZineOne's ICE platform offer a unique solution set for enterprise brands that wish to provide customers with delightful online shopping experiences. The collaboration adds intent to every interaction with relevant contextual awareness in real-time, based on evolving in-the-moment needs and interests," said Jonathan Macchi, Senior Director of Global Partnerships at ZineOne.


Dash Cart: Amazon's smart shopping cart knows what you're getting, displays your subtotal

USATODAY - Tech Top Stories

Amazon has created a smart shopping cart that knows what you're selecting and can charge you for it without a cashier. It's called the "Amazon Dash Cart" and the idea is to make "a quick grocery trip even quicker by allowing you to skip the checkout line," the e-commerce giant said in a post on Tuesday. The Dash Cart largely looks like a typical shopping cart, only bulkier at the bottom. Patrons will use their Amazon account's unique QR code to sign-in to the cart, according to a video the company posted on its website. Then you add your shopping bags to the cart and proceed to shop around the store. The buggy uses computer vision and a sensor to identify which groceries you've selected.


Artificial Intelligence (AI) In Fintech Market Size By Product Analysis, Application, End-Users …

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Artificial Intelligence (AI) In Fintech Market Size By Product Analysis, Application, End-Users, Regional Outlook, Competitive Strategies And Forecast Up …


#FinServ_2020-07-11_19-53-24.xlsx

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The graph represents a network of 2,429 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 12 July 2020 at 02:55 UTC. The requested start date was Sunday, 12 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 10-day, 2-hour, 41-minute period from Wednesday, 01 July 2020 at 21:15 UTC to Saturday, 11 July 2020 at 23:56 UTC.


Disruptive tech trends: Fintechs leads Twitter mentions in Q2 2020

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Fintechs lead as Verdict lists the top five terms tweeted on disruptive tech in Q2 2020, based on data from GlobalData's Influencer Platform. The top tweeted terms are the trending industry discussions happening on Twitter by key individuals (influencers) as tracked by the platform. New technologies and increased collaboration with fintechs shaping payments and the role of fintechs startups in transforming financial services, and innovation, were popularly discussed in Q2 2020. According to an article shared by Antonio Grasso, a digital transformation advisor, new technologies and collaborations with fintehcs were defining the future of payments. For instance, payment companies were acquiring or collaborating with SaaS companies focused on serving such as students and restaurants, the article noted.


JoshiNishad.blog posted on LinkedIn

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Welcome to June 2020 edition of top 10 #technology and #innovation tweets: 1) Indian government authorities gave permission to test cargo delivery using #drones. We are investigating this issue and trying to have it resolved.


AI, Fintech and ESG Data – Establishing Concepts and Tools for Innovation

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Welcome to FINTECH Circle's AI Webinar Series focused on artificial intelligence and the future of AI in finance. As part of FINTECH Circle's book range we have released The AI Book, published by Wiley in June 2020. In this webinar FINTECH Circle's CEO Susanne Chishti will be joined by leading AI experts from Moody's to discuss how AI and innovative technologies empower ESG goals and which innovative finance tools are available to benefit small and large corporations. The webinar will focus on: - How can AI, Fintech and related technologies enhance ESG data, processes, frameworks and governance - Where are opportunities for ESG data and tools innovation alongside industry 4.0 - What's Moody's role in developing AI and Fintech innovation Our invited guests are: - Martina Macpherson, Senior Vice President, ESG & Engagement Strategy, Moody's - James Henley, Associate Managing Director, Moody's Investors Service - Ashit Talukder, Head of AI/ML, Moody's We look forward to having you join us for an inspirational conversation!