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Community AMA Series


Q1: What are the tech innovations that matrix have brought to crypto space. Why it took so long to have developments on your marketing side?

Forbes India - Banking On Technology: Tech Trends That Have Carved A Niche This Year


Technology has been a major disruptor in the way banking was done just a few years ago. While the pandemic accelerated the adoption of technology across industries and sectors, our dependence on these advancements has been magnified to a great extent. For example, the recent Annual Report 2020-21 of Reserve Bank of India shows, the total digital transaction volume in 2020-21 stood at 4,371 crores, as against 3,412 crores in 2019-20, attesting to the resilience of the digital payment system in the face of the pandemic. As these technological advancements continue to disrupt the traditional ways of banking, we see a whole new spectrum of newer and faster banking solutions. Online deposits, mobile wallets, e-bill payments, and so on have fundamentally become a norm for how financial transactions are carried out nowadays.



In this modern era of the digital world where people are trying to find simplicity and ease in doing works, moreover, these new inventions are booming out for making mankind a way to lead a simple life using different technologies and ways among that one is Artificial intelligence or shortly known as AI a progressively increasing field of study which having its touch in every area starting from social media to e-commerce websites for a good recommendation of posts of our type and products based on search recommendations along within the different domains like agriculture, virtual assistance, shopping recommendations and for physically disabled people, security, stock market prediction, self-driving cars and many more. This modern era of AI can visualize things and understand real-time around us and can make optimal decisions and remove real-time problems moreover for the efficient work in addition with the reduction of human errors. How Ai is useful for disabled persons? Nowadays everyone has a mobile phone or any electronic devices, we spend more time of day with these devices and the development of this advanced technology like artificial intelligence and natural language processing, iot made their roots into our daily life's electronics and these developed features can be used in different ways where people who are suffering from disabilities can remove their problems or inconvenience related easily without any help of other person using apps and software's developed by advance technology. There is a different type of disabilities people face and mainly with Vision, Hearing, Prosthetics are three kinds mostly we can observe in the world, different technologies are present for vision-related issues such as braille displays and writing and many more for a long time, and in recent times AI has changed this thing and improved the way of interacting.

AI Innovations: Top 10 Use Cases in Retail and e-Commerce Industry in 2021


The outbreaks of the coronavirus pandemic and digital transformation have created ample opportunities for the retail and e-Commerce industry across the world. The ever-changing industry is allowing retailers, merchants, business people, and many more to enhance e-Commerce businesses to meet customer satisfaction by leveraging advanced AI innovations and technologies. Multiple retail and e-Commerce companies are harnessing smart functionalities of artificial intelligence with a diverse range of products and services including smart payments, seamless transactions, fast delivery, and many more through online mode. Virtual Trial Rooms: Virtual trial rooms are emerging as one of the top AI innovations in the retail and e-Commerce industry that digitally manage customer tastes and preferences of apparel. It is developed with the integration of artificial intelligence and augmented reality to increase customer engagement in this industry.

Particular Audience takes in $7.5M to give retailers way to take on Amazon – TechCrunch


Being in control of customer data is one of the ways retailers, like Amazon, Spotify and Netflix, are able to tap into consumer behavior and create customized experiences whenever a user logs in. Those are some of the reasons Amazon, in particular, is poised to grab 50% of the U.S. e-commerce market this year, and why Sydney-based Particular Audience wants to break down the data silos going on within e-commerce to give any retailer a chance to gather similar data on their customers to personalize experiences. Particular Audience provides product discovery tools for retailers that are powered by artificial intelligence and machine learning. In fact, the company wants to go further and offer personalization based on anonymity and without compromising personal data, CEO James Taylor told TechCrunch. Taylor launched Particular Audience in 2019 after taking a few years to work out the technology. The global pandemic threw a wrench in some plans, with Taylor and a handful of executives taking a pay cut so as to not have to let any employees go.

How To Use Machine Learning For eCommerce - Aiiot Talk


The e-commerce market is vast and only expected to get bigger with time. Not only has the global e-commerce market been valued at $9.09 trillion, but it is also expected to grow at a compound annual growth rate of 14.7 per cent over the next seven years. As a result of this enormous size, companies […]

Robots for the win during ecommerce holiday crunch


Between labor shortages, COVID continuing to wreak havoc on the supply chain, and the upcoming holiday season (in which eCommerce is expected to grow up to 15%), retailers, eCommerce, and warehouses will face a challenging few months to meet increased consumer demands. These businesses are already sounding the alarm bells and actively looking for innovative new ways to keep pace while at the same time maintaining and attracting new employees -- and robotic automation is a frontrunner solution. ECommerce sales are increasingly being fulfilled by brick-and-mortar stores, and in 2021, more than 80% of all retail sales, inclusive of eCommerce, will come from brick-and-mortars. That's driven traditional vendors to amplify their fulfillment operations well beyond in-store pickup. Enter Berkshire Grey, an AI-enabled robotic supply chain solution provider that supports businesses including Fortune 50 retailers and logistics service providers like Walmart, Target and FedEx.

Council Post: Four Use Cases For AI Voicebots That Help Improve The Retail Customer Experience


Co-Founder & CEO of Agara, driving autonomous conversations and helping top brands connect with customers using voice AI to improve CX. Well, we all know that customer focus means more business and revenue. Customer-centric businesses reap 60% more profit than those who don't prioritize delivering a better customer experience. However, the key challenge for retailers -- or any customer-facing business for that matter -- is rapidly evolving customer needs. It all began with consumers walking out of physical stores to enter the world of online shopping.

Inside recommendations: how a recommender system recommends - KDnuggets


If we think of the most successful and widespread applications of machine learning in business, one of the examples would be recommender systems. Each time you visit Amazon or Netflix, you see recommended items or movies that you might like -- the product of recommender systems incorporated by these companies. Though a recommender system is a rather simple algorithm that discovers patterns in a dataset, rates items, and shows the user the items that they might rate highly, they have the power to boost sales of many e-commerce and retail companies. In simple words, these systems predict users' interests and recommend relevant items. User-item interactions -- the information about ratings, number of purchases, likes, and so on.

Scienjoy Attends NFT.NYC, The Leading Annual Non-Fungible Token Event


Scienjoy Holding Corporation a leading live entertainment mobile streaming platform in China, announced that the Company's New York team participated in the largest annual Non-Fungible Token event, NFT.NYC (the "Event") from November 1st to November 4th in New York City. The Event attracted a large number of attendees, including some key players in the NFT industry such as Opensea, Clubrare, Topps NFTs, Christie's, and MoonPay. The Event consisted of various forums and panel discussions addressing the latest developments and future trend in NFT and how AI, AR, and VR technologies evolve to assist the NFT industry to be more collaborative, hence developing a new creative economy. The Event provided Scienjoy a tremendous opportunity to meet the NFT industry experts and cultivate the relationships with industry top-notched platforms and marketplaces, leading to future partnerships. With the technical support of the Company, Herr Gallery, one of the Scienjoy's business partners in New York, successfully dropped NFTs on Rarible on behalf of the two extraordinary artists, Cao Zou and Dazhou Wang, on October 26th and October 28th respectively.