Having successfully completed the acquisition of scanning and data innovator Minalyze, artificial intelligence (AI) and advanced analytics company Veracio is poised to transform the way the mining and exploration industry captures,

Merger pursued to bolster digital prospecting ends

Veracio has entered into a binding agreement to acquire pioneers in scanning and data innovators, Minalyze, for a total consideration equal to US$29.3 million. With the unique combination of Veracio’s AI and advanced analytics solutions and Minalyze’s ...

Veracio acquires scanning and data innovator Minalyze

BERNAMA provides up-to-date authentic and comprehensive news and information which are disseminated via BERNAMA Wires; www.bernama.com; BERNAMA TV on the Astro 502, unifi TV 631 and MYTV 121 IFLIX channels and BERNAMA Radio on the FM93.9 (Klang Valley ...

VERACIO ACQUIRES MINALYZE ACCELERATING OREBODY KNOWLEDGE VIA DATA ANALYSIS, AI

KUALA LUMPUR, Sept 20 (Bernama) -- Veracio has entered into a binding agreement to acquire pioneers in scanning and data innovators, Minalyze for a total consideration equal to US$29.3 million. (US$1=RM4.69) According to Veracio in a statement, this ...

Utah-based mining technology company Veracio has entered into a binding agreement to acquire scanning and data innovators Minalyze, which has operations in Sweden and Australia, for $29.3 million.

Veracio acquires Minalyze in $23 million deal

Boart Longyear (ASX:BLY) subsidiary Veracio has entered a binding agreement to acquire all shares in drill core scanning specialist Minalyze for US$29.3 million. The payment under the takeover deal will comprise a mix of cash and promissory notes ...

Boart subsidiary to buy out Minalyze

“This acquisition represents an exciting new chapter for both Veracio and Minalyze,” states Veracio Chief Executive Officer, JT Clark. “We see this as a ‘better together’ opportunity, leveraging our collective expertise to push boundaries and ...

Veracio's Landmark Acquisition of Minalyze Set to Fast-Track Global Orebody Knowledge Through Enhanced Data Analysis and AI

19, 2023 (GLOBE NEWSWIRE) -- Pioneering a transformative leap in geosciences, Veracio has proudly entered into a binding agreement to acquire pioneers in scanning and data innovators, Minalyze for ...

Veracio's Landmark Acquisition of Minalyze Set to Fast-Track Global Orebody Knowledge ...

Minalyze

minalyze

Introduced in February 2015, TechCrunch Magazine noted IPFS was  “quickly spreading by word of mouth.” It’s possibly a key component to solving deep-seated but largely unknown problems that exist in today's internet usage. Some believe IPFS, a new tongue-twisting acronym, is a tool that’ll finally evolve the internet from central entities to a world wide web of shared information, as our online founders always envisioned. The Simple Breakdown: IPFS = Git + BitTorrent To understand IPFS or an Interplanetary File System, one can envision a file system that stores files and tracks versions over time, like the project ….. Git Photo . Source Git is a distributed version control system, or VCS. Developers use it to track changes to their code . When text is added, edited or deleted in any piece of code, Git tracks the changes line-by-line It’s distributed because every user has all the source code on their computer  and can act as a server. Secondly, Git is backed by a content-addressable database, meaning the content in the database is immutable. But... IPFS also incorporates how files move across a network, making it a distributed file system, such as . BitTorrent Photo . Source BitTorrent allows users to quickly download  large files using minimum internet bandwidth. For this reason it is free  to use and includes no spyware or pop-up advertising. BitTorrent’s protocol maximizes transfer speed by gathering small pieces of files desired by the user and downloads the content pieces simultaneously from other users that retain seekers content. BitTorrent is popular for freely sharing videos, programs, books, music, legal/medical records, and more. Not to mention, the downloads are much faster than other protocols. Photo . Source Git + BitTorrent = BFF IPFS uses BitTorrent’s approach, but applies Git’s concept and creates a new type of file system that tracks the respective versions of files from all the users in the network. By utilizing both characteristics of these two entities, IPFS birthed a new permanent web that challenges existing internet protocols, such as HTTP. WTF Is Wrong With HTTP? It Seems Fine To Me, TYVM. Well, first, I’m not sure if you realized you had options. So while the thought: “The World Wide Web is actually wider…” sinks into your head, here’s a brief summary of what you’ve likely been using for some time. Sit back for a quick lesson on HTTP, ASAP. (lol, you love the free jokes in my articles). The internet is a collection of protocols that describe how data moves through a network. Developers adopted these protocols over time as they built applications on top of existing infrastructure. The protocol that serves as the backbone of the web is the HyperText Transfer Protocol. HTTP, or HyperText Transfer Protocol is an application layer protocol for distributed, collaborative hypermedia systems created by Tim Berners Lee at CERN in 1989. HTTP is the foundation for data communication using hypertext files. It is currently used for most of the data transfer on the internet. HTTP is a request-response protocol. Since the internet boasts a vast array of resources hosted on different servers. To access these resources, a browser needs to be able to send a request to the server and display the resources. HTTP is the underlying format for structuring  requests and responses for communication between  client and host. The message that is sent by a client to a server is what is known as an HTTP request. When these requests are being sent, clients can use various methods to make this request. HTTP request methods are the assets that indicate a specific action to be performed on a given resource. Each method implements a distinct semantic, but there are some shared features. Common Example: the Google homepage-back to the “client” or browser. This is a location-addressed protocol which means when google.com is inserted into a browser, it gets translated into an IP address belonging to a Google server, initiating a request-response cycle with that server. WTF, We Have a 404 On HTTP! SOS! Internet savvy, or not, I believe we have all fallen victim to an HTTP meltdown at least once in our lives. Photo . Source Do you recall a time in your life when you and a large group of people went  to the same website at the same time? Each individual participating in this action types the request into their online device and sends a request to that website, where a response is given. each person is sent the same data, individually. If there’s 10,000 people trying to access a site, on the backend, there are 10k requests, and 10k responses. This sounds great, right?  Problem is it’s  pretty inefficient. In a perfect world, participants should be able to leverage physical proximity to more effectively retrieve requested information. HTTP presents another significant issue if there is a  problem in the network’s line of communication, leaving the client unable to connect with the server. This occurs if: A country is blocking some content An ISP has an outage Content was merely moved or deleted. These types of exist everywhere on the HTTP web. broken links A location-based addressing model, like HTTP, encourages the centralization of information. It is convenient to trust a handful of applications with all our online data, but there’s a great sense of power and responsibility that comes with placing centralized providers with our precious personal and public information. K, LMK What IPFS Is. Simply, IPFS is an acronym for ‘ ,’ which is a protocol and P2P network in a distributed system that is utilized for storing and accessing websites, applications, files and data. This system uses content-addressing to target and identify each file in a global namespace. Users can obtain and host content, much like ‘BitTorrent’. InterPlanetary File System A central server lacks some of the admirable characteristics that the IPFS network retains, being built around a decentralized system of users and operators. In an open network like IPFS, each user holds a portion of the overall data, creating and strengthening a resilient ecosystem of file sharing and storage. Photo . Source Any user participating in the network can serve a file by its content address, and other peers in the network can find and request content from any node with  it using a ( ). distributed hash table DHT Photo . Source IPSF Is G.O.A.T.! How Does It Work? IPFS strives to create a permanent and distributed web by using a content-addressed system instead of HTTP’s location-based system. Photo . Source http://12.65.83.94/folder/file.txt HTTP requests look like: Where, : /ipfs/QmR6UvrW8aUyoN5m/folder/file.txt IPFS requests look like Rather than using a location address IPFS constructs a representation of its content to address information with a cryptographic hash. The hash represents a root object and other objects can be found in its path. HTTP ” to a server, but IPFS opens access to a “ ” of data, leveraging physical proximity for better performance. “talks starting point IPFS uses a , or , for data storage. Once a hash is generated, a request to ask the peer network who owns the content located at that hash. The content is then downloaded directly from the appropriate node. The data is then transferred between nodes in the network using mechanisms similar to those in BitTorrent. A content seeker on the IPFS web finds neighbors who have access to the content they want. After the content is collected, a downloading process occurs where small pieces of the content from those neighbors are stored on your PC. Distributed Hash Table DHT But wait... that's not all! lol In addition to the DHT and the BitTorrent protocols, IPFS uses a Dr. Merkle’s ‘ . is a data structure similar to what Git uses for version control. It’s also the protocol used in Bitcoin’s blockchain technology. In Git, it's used to track different versions of source code files, whereas in IPFS is used to track targeted content across the world wide web. Merkle Tree’ The Merkle Tree ….I’m Still Over Here Like, OMG! WTH Is IPFS, FFS?! Okay, Okay- let me break it down in a real-world example. Picture a big, green avocado! Ohhhh, They’re delicious, aren’t they? Let’s pretend we are writing a research paper on avocados. First, we begin by conducting a quick search for  “ ”- a Google search on my Safari browser brings me to URL results based in my North American location, the English Wikipedia site  being among the top results. is the site to be exact. avocados https://en.wikipedia.org/wiki/Avocado When one clicks or one types the URL in their browser’s address bar, the seeking computer asks one of Wikipedia’s local computers for the avocado page. ). (this is a centralized platform Non-geeks can scroll a Google search for a few pages and feel as if their options for avocado info can quickly run dry . This is a problem. A really big problem… Think about it, I’m in America: How much can Americans possibly know about a Mexican FRUIT? ( They’re in the vegetable food section here, folks! IPFS!!!… oops, wrong acronym. I meant, #smh!) Thankfully, there’s a ‘mirror’ of Wikipedia stored on the IPFS protocol and in our searches we can access this. Although, the site address is somewhat unusual, if you’re unfamiliar with it. When opening up an IPFS server the ‘ ’ for decentralized avocado education is just like a ‘https://’ server, requests are submitted in the address bar. But the search result page will appear something like this: ask /ipfs-search.com/#/search?search=avocados And your mirrored wiki page on avocados will look close to this:/ipfs/ /wiki/Avocado.html QmPCxCiuinXrqCyQ2vymg7NcXhQVYPpz8ABVwAT1hfoH1b The IPFS-ified version of the avocado information is represented by the string of alpha-numbers found within the URL (Example: QmPCxiu…),  instead of asking one of Wikipedia’s computers for the avocado information page, the IPFS network asks tons of computers to share the data that’s been requested. Using this protocol allows access to avocado information from anyone who has it, not just from Wikipedia or local searches. IPFS Uses CID, FTW?! STFU!!!! IPFS knows how to locate the best information on avocados ( ) by using a CID or content identifier, and not the information based on the location you’re searching from. or any subject … Sorry, I love avocados! So, a CID or content identifier is a label used to highlight, note, or point material in the IPFS network. The CID does not indicate where the actual content is stored, but it forms an address based on it. Photo . Source CIDs are special because they’re based on the content’s cryptographic hash, ) which implies any difference in content will produce a different CID and the same piece of content added to two different IPFS nodes using the same settings will produce exactly the same CID. The SHA-256 hashing algorithm is used in IPFS by default, but there’s support by a number of other algorithms. (see photo for simple breakdown of what a cryptographic hash is. Photo Source: Canva.com Amazingly, a cryptographic hash can be used to identify any piece of data, as the hash is unique to the fixed calculated data collected. Note: a hash has a fixed length, so the SHA-256 hash of a one-gigabyte video file is only 32 bytes. For this reason, sending and storing throughout the network is ecologically friendly, as it uses very few resources; which is critical for a distributed system like IPFS, where the data is retrieved from many different locations. Photo Source: Canva.com TTYL, HTTP! OMW, IPFS! The beauty of running IPFS is, searches are posed as questions and any peer connected to the network responds. Any IPFS user that retains data or files with a particular hash sends the entire file to the information seeker. Thanks to the endless data in the world, without a short and unique identifier like the cryptographic hash function found in content addressing ( ), retrieving specialized information would not be possible, because the content itself is used to form an address, rather than information about the computer and disk location of it’s where-a-abouts. CID To visualize HTTP and IPFS side by side, we can compare the two. Photo . Source HTTP Uses a centralized client server Data not accessible if server is down or if link is broken Data is requested based on the address where data is hosted To make content publicly available one must set up a hosting server or pay to partake in the HTTP network. Low bandwidth related to multiple clients requesting resources from a single server, often simultaneously HTTP support is built into most computing machines HTTP is a vastly used and an established industry standard. IPFS Uses a decentralized peer to peer network Data is shared with multiple nodes, therefore data is always accessible Data requested using cryptographic hash of requested data Every node or participant on the IPFS hosts and shares data, therefore, uploading content is free and accessible to all High bandwidth related to data being requested from the closest peer who retains information IPFS requires access using the HTTP to IPFS portal, or a manual setup to use the IPFS node on your PC (like an app) IPFS is an up and coming interest to investors, technologists and consumers alike. Cool, But I’m a #WiB… How Does IPFS & BTC Tech Relate? Related to the similarity in their underlying structure, IPFS and blockchain technology can go together like peanut butter and jelly! ( It’s an American thing…) Juan Benet, the inventor of IPFS calls Blockchain and IPFS a “ ” IPFS is one of a few projects picked up by Protocol Labs, also founded by Benet. A few projects at Protocol Labs are similar to IPFS; IPLD, or Inter-Planetary Linked Data, and another called project: . great marriage. Filecoin Photo . Source is a data model for distributed data structures. much like blockchain. The IPLD model allows for easy storage of and access to blockchain data using IPFS. Users willing to store IPFS data will be rewarded with a digital reward, the ‘Filecoin’. Inter-Planetary Linked Data (IPLD) IPLD allows users to effortlessly interact with multiple blockchains. Currently, it has been integrated with Ethereum and Bitcoin. IPFS connects different blockchains, much like the web joins so many websites together. These projects are quite ambitious by nature. The idea of a permanent web that is resilient and efficient was the goal of the original founders of the original internet protocol. However, over time internet uses have evolved and needs for new protocols became evident. Although it is in its early stages, IPFS could be a crucial piece of the puzzle. Storage on blockchain is costly. According to estimates it costs $100 per GB of storage. Despite the current price of a 500GB hard drive being around $100. . Source How can one efficiently create a versioned file system if all the files are 500x more expensive than traditional hardware? Through cryptographic hashes, of course! When hashing a file, there’s a fixed length string unique to that file and its data. Rather than storing files, IPFS simply stores the hashes to files on the blockchain. These hashes can then be used to find the file’s actual location. A good analogy is giving your teammates a work meeting address. Rather than physically moving the office to them, we generate a pointer ( ) to where the meeting is and they come to the office. “ ” Benet told CoinDesk. Benet continued: “ ” . address Mainly since blockchains have proven an inefficient and expensive way of storing data, Benet believes data, from web pages to PDFs, can be offloaded to another computing layer like IPFS. Since distributed ledgers can be put on top of IPFS for application building, he calls the two systems a “great marriage”....“If you add it to IPFS and take that hash and put it in a block, you can then use IPFS to browse the transaction and browse the file directly on the web, IPFS connects all these different blockchains in a way that’s similar to how the web connects all these websites together. The same way that you can drop a link on one page that links to another page, you can drop a link in Ethereum [for example] that links to Zcash and IPFS can resolve all of that. Source Effectively, it’s a way to abstract away from cryptocurrencies. “ ,” Benet explained. “ ” . Imagine you’re browsing one blockchain You can click through from one to the other, which means that you can write applications that relate the two without those applications having to understand either Ethereum or Zcash. Source The idea is, if Ethereum, Zcash and other blockchains can store small amounts of data, IPFS can be a tool for linking and browsing them. Conclusion IPFS strives to be the new internet that would work across the globe, even planets while avoiding censorship and is infinitely bigger than the current internet. IPFS is considerably faster, far less expensive, retains more privacy features and able to withstand large scale attacks in the case of a disaster. Amazing. Where do you see this technology taking us? I became interested in IPFS because a project we are working on at . The technology fascinates me and I can’t wait to learn and evolve with this tech. PAC Global LLC -END- Thank you so much for reading. I’m out to decentralize education and bring real-world solutions to everyday consumers from the crypto and blockchain industry in efforts for a better financial future. If you’d like to find our more about our IPFS and master node projects at , please visit our website or reach out. PAC Global is a digital network connecting not only merchants and consumers, but business enterprise as well, with a fast, secure and more cost-effective way to send digital transactions globally. PAC Global PAC Global offers one of the world’s most powerful and secure masternode networks — enabling frictionless transactions worldwide and making them faster, safer, and cheaper. Built upon a massive distributed network and championed by blockchain pioneers, and with the total elimination of the middleman, PAC Global is truly the people’s platform for transactional and data transmissions and immutable record keeping. Author Alyze Sam is a Co-Founder/Director at GIVE Nation, Advisor/CCO at PAC Global and an award winning author. Sam wrote the first book on Stablecoins in 2017. The unbiased text takes complex practices and simplifies concepts for most audiences. In February 2020 Sam and her partners ‘ Complete 2020 Guide to Stablecoins ’ sat as the #1 New Release in Business and Money on Amazon Books. *Visuals and self-publishing done by a 16-year-old Sam personally mentors: Koosha Azim, Silicon Valley, CA. Sam’s second book, ‘ Stablecoin Economy ,’ a university text, released May 14th, 2020. MsAlyzeSam@gmail.com -LinkedIn -Facebook -Instagram -Twitter Edited by Adam Alonzi. Adam is a multifaceted and genius: editor, bioinformatician, copywriter, Ethereum coder, ghost writer, commodities broker, and logistics specialist. He spends his days working on telomere research and has recently gained success with repairing damaged cells in animals. Their lab has given life to several paralyzed victims. Adam is my hero, inspiration, and a great silent leader in the tech world. Thank you for always adding value to everything you touch, my friend! - LinkedIn : Sources https://en.wikipedia.org/wiki/InterPlanetary_File_System https://docs.ipfs.io /HTTP https://en.wikipedia.org/wiki

WTH is IPFS? InterPlanetary File Systems To Rescue The Internet

Stablecoin Economy: A Brief History of the Top Ten Stablecoins 

Visualizing PostgreSQL Data With Angular To Analyze What Passengers Find Rude to Do During a Flight

Episode Four, a New York-based advertising agency, has introduced RYA (Radical Yet Acceptable), an AI tool designed to generate marketing campaign ideas using consumer behavior data. The platform processes 84 million data points weekly to analyze U.S. demographic preferences and spending patterns. The agency, projecting $20 million in revenue this year, developed RYA using proprietary data collected over a decade. The system analyzes where Americans spend their discretionary time and money, providing insights across 180 genres and 20 action categories. Mark Himmelsbach, Founding Partner of RYA and Episode Four, explained the tool's development: "What our agency used to do in six weeks we can now do in one day. The system generates insights and ideas in reduced time frames." The platform's technical capabilities include: Analysis of U.S. population samples


Data processing for demographic segments


Integration with client databases


Custom survey incorporation


Data clean room compatibility


Processing of unstructured data sources Current clients including Adobe, Charles Schwab, and Invesco QQQ have received early access to the platform. The system allows brands to: Access demographic data down to 0.5% of the U.S. population


Analyze consumer entertainment preferences


Track spending behavior patterns


Generate campaign concepts


Integrate proprietary data


Monitor audience engagement metrics Teddy Lynn, Founding Partner of RYA and Episode Four, noted the platform's role in campaign development: "RYA prompts broader thinking. With 180 genres, we can create concepts that align with audience preferences." The platform's development comes amid industry discussions about AI's impact on marketing roles. Episode Four positions RYA as an enhancement tool for human creativity rather than a replacement for marketing professionals. Technical features include: Consumer behavior analysis


Demographic segmentation


Data integration capabilities


Campaign concept generation


Performance tracking


Market trend analysis Future developments include plans for a marketplace connecting agencies, production companies, and marketing specialists. This expansion aims to facilitate campaign execution across various genres and platforms. Industry analysts note that AI-powered marketing tools represent a growing trend in advertising technology. The success of such platforms could influence how agencies approach campaign development and audience analysis. The tool's release reflects broader industry movements toward data-driven marketing decisions. Market observers suggest that integration of AI tools in creative processes could impact traditional agency workflows and campaign development timeframes. For the marketing industry, RYA's launch represents continued evolution in creative technology applications. The platform's performance could influence future developments in AI-assisted marketing tools and creative processes. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Episode Four , a New York-based advertising agency, has introduced RYA (Radical Yet Acceptable), an AI tool designed to generate marketing campaign ideas using consumer behavior data. The platform processes 84 million data points weekly to analyze U.S. demographic preferences and spending patterns. Episode Four RYA The agency, projecting $20 million in revenue this year, developed RYA using proprietary data collected over a decade. The system analyzes where Americans spend their discretionary time and money, providing insights across 180 genres and 20 action categories. Mark Himmelsbach, Founding Partner of RYA and Episode Four, explained the tool's development: "What our agency used to do in six weeks we can now do in one day. The system generates insights and ideas in reduced time frames." The platform's technical capabilities include: Analysis of U.S. population samples Data processing for demographic segments Integration with client databases Custom survey incorporation Data clean room compatibility Processing of unstructured data sources Analysis of U.S. population samples Analysis of U.S. population samples Data processing for demographic segments Data processing for demographic segments Integration with client databases Integration with client databases Custom survey incorporation Custom survey incorporation Data clean room compatibility Data clean room compatibility Processing of unstructured data sources Processing of unstructured data sources Current clients including Adobe, Charles Schwab, and Invesco QQQ have received early access to the platform. The system allows brands to: Access demographic data down to 0.5% of the U.S. population Analyze consumer entertainment preferences Track spending behavior patterns Generate campaign concepts Integrate proprietary data Monitor audience engagement metrics Access demographic data down to 0.5% of the U.S. population Access demographic data down to 0.5% of the U.S. population Analyze consumer entertainment preferences Analyze consumer entertainment preferences Track spending behavior patterns Track spending behavior patterns Generate campaign concepts Generate campaign concepts Integrate proprietary data Integrate proprietary data Monitor audience engagement metrics Monitor audience engagement metrics Teddy Lynn, Founding Partner of RYA and Episode Four, noted the platform's role in campaign development: "RYA prompts broader thinking. With 180 genres, we can create concepts that align with audience preferences." The platform's development comes amid industry discussions about AI's impact on marketing roles. Episode Four positions RYA as an enhancement tool for human creativity rather than a replacement for marketing professionals. Technical features include: Consumer behavior analysis Demographic segmentation Data integration capabilities Campaign concept generation Performance tracking Market trend analysis Consumer behavior analysis Consumer behavior analysis Demographic segmentation Demographic segmentation Data integration capabilities Data integration capabilities Campaign concept generation Campaign concept generation Performance tracking Performance tracking Market trend analysis Market trend analysis Future developments include plans for a marketplace connecting agencies, production companies, and marketing specialists. This expansion aims to facilitate campaign execution across various genres and platforms. Industry analysts note that AI-powered marketing tools represent a growing trend in advertising technology. The success of such platforms could influence how agencies approach campaign development and audience analysis. The tool's release reflects broader industry movements toward data-driven marketing decisions. Market observers suggest that integration of AI tools in creative processes could impact traditional agency workflows and campaign development timeframes. For the marketing industry, RYA's launch represents continued evolution in creative technology applications. The platform's performance could influence future developments in AI-assisted marketing tools and creative processes. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: business blogging program business blogging program

Episode Four Launches RYA AI Tool for Marketing Campaign Generation

Episode vier stel RYA AI-instrument bekend vir die generering van bemarkingsveldtogte

Afsnit fire lancerer RYA AI-værktøj til generering af marketingkampagner

Episode Four lanza la herramienta de inteligencia artificial RYA para la generación de campañas de marketing

Չորրորդ դրվագը գործարկում է RYA AI գործիքը մարքեթինգային արշավի ստեղծման համար

エピソード 4 がマーケティング キャンペーン生成用の RYA AI ツールをリリース

მეოთხე ეპიზოდი იწყებს RYA AI ხელსაწყოს მარკეტინგული კამპანიის თაობისთვის

Episode ya minei ebandi RYA AI Tool pona génération ya campagne ya marketing

Fizarana efatra dia namoaka fitaovana RYA AI ho an'ny famoronana fanentanana ara-barotra

Episodi i katërt lëshon Mjetin RYA AI për gjenerimin e fushatës së marketingut

Avsnitt fyra lanserar RYA AI-verktyg för generering av marknadsföringskampanjer

Dördüncü Bölüm, Pazarlama Kampanyası Oluşturma için RYA AI Aracını Başlatıyor

Xiphemu xa Vumune Xi Sungula Xitirhisiwa xa RYA AI xa ku Tumbuluxa Pfhumba ro Xavisa

Black Friday is nearly here, which means customers will be swarming stores to snag the best deals — and retailers will be bracing for the corresponding boost in thefts. But even aside from the Black Friday bump, theft is a growing problem for many retailers. How could AI reduce the risk? 1. Enabling Automatic Cart Audits Some retailers have employees standing near store exits to check shoppers’ receipts as they leave, verifying that the list of items matches their cart contents. However, this process often becomes cumbersome during busy periods, requiring people to wait in lines. Leaders at Sam’s Club believe AI can do the task faster. As of April 2024, more than 120 locations used AI exit scanning technology, and the overall figure matched executives’ goal of adding AI to 20% of its stores by the end of the first quarter. Sam’s Club represents the largest deployment of such customer-facing technology in the retail industry. Customers who engage with it can leave stores 23% faster, and internal data shows more than 50% of shoppers use it. Notably, before rolling out this solution, Sam’s Club employees got feedback from customers about current pain points and what they wanted from their experiences. Participants mentioned they’d like faster and more convenient shopping trips and consistently brought up the waiting times associated with the previous cart audits as a primary downside.  Now, computer-vision cameras and digital technologies work in the background to check that cart contents match a customer’s payment records. This high-tech approach aligns with the company’s other improvements, such as its Scan & Go offering, which allows people to bypass the traditional checkout process when buying their items. The market value for AI products in retail was approximately $5 billion in 2023, and it’s expected to grow. Decision-makers are even more likely to reap the benefits if they do as Sam’s Club leaders did and gather customer feedback. 2. Curbing Potentially Harmful Employee Preferentiality Most people think of customers as the main people behind retail theft, but workers can exacerbate the problem, too. Sometimes, they might slip small items into their pockets during slow periods, believing no one will notice and they will never get caught. The circumstances can also become more complicated. One example is what some in the retail industry call “sweethearting.” It happens when employees give discounts or free items to friends or relatives. One tech company, Corsight AI, began offering AI technology to detect such interactions. More specifically, it spots unusual behavior by analyzing how close customers stand to employees. Because the tool tracks engagements over time, it can also determine if specific shoppers keep going to the same employee’s cash register or otherwise show a preference. The system flags unusual behaviors to the relevant store decision-makers, letting them decide whether to act. Critics have pointed out that regularly engaging with the same employees when shopping at a store doesn’t necessarily mean anything suspicious. Perhaps a customer appreciates a worker’s friendliness, efficiency or product knowledge, causing them to naturally interact when opportunities arise. However, increasing theft problems have caused some retail leaders to scrutinize things they might have previously ignored. That is particularly true for retailers selling high-value items. For example, jewelry companies’ crime-related losses exceeded $129 million in 2022. These retailers usually have high-tech security systems, but those defenses probably won’t catch occasional instances of store workers offering unusually generous discounts. AI tools might. 3. Providing Better Awareness Although circumstances vary, some potential shoplifters target locations before attempting to steal things. During each visit, they gather information such as the number of workers in the store at particular times, whether certain departments or products have dedicated security measures and the locations of entrances and exits. Someone who goes to a well-staffed store, notices numerous security cameras and sees how employees seem continually aware of their surroundings may decide against proceeding with theft attempt plans. Conversely, stores that seem virtually deserted and feature few or no visible security cameras are much more appealing to would-be thieves. Because AI products can work in the background and detect unusual occurrences, they help loss prevention officers and others become more aware of what happens in individual stores. For example, Everseen creates AI tech that can be used to help reduce self-checkout theft. Part of its approach involves processing footage from ceiling-mounted cameras, often gathering tens of millions of customer interactions daily. Another helpful aspect of the technology is that it can scan shelves to determine when specific products are almost out of stock. Additionally, retail leaders can use this product to get near-real-time analytics about what’s happening in a store and receive prompts about handling certain situations. For example, if the AI spots a frustrated customer, it might prompt a worker to engage with them to learn what’s wrong. Many retailers already use artificial intelligence creatively by incorporating it into their demand-planning processes. For example, automating supply chain activities could reduce costs by as much as 10%, making that goal a worthy pursuit for cost-conscious parties. In any case, improved awareness provided by specialty tech products could help retailers manage theft. 4. Analyzing Shoppers’ Gestures Although many retailers use facial recognition technologies, some consumers dislike the perceived lack of privacy. An AI alternative is potentially less invasive because it does not analyze people’s appearance, but rather whether they make suspicious movements commonly linked to theft. Wild Duck Wine & Spirits in Boston uses an AI product from company Veesion on all 24 of its security camera feeds. The technology checks shoppers’ gestures to see if they match those frequently used during shoplifting. For example, someone might try to conceal something in a clothing pocket. Another “red flag” occurs when people hide items in baby strollers. Finally, people may eat or drink while shopping, potentially consuming what they have not paid for yet. If the AI spots something specific, it alerts workers approximately 15 seconds later, providing a video clip of the event. Those employees can then choose whether to confront the person or see if they try to skip the checkout counter. A representative from the AI company explained that this solution is about more than stopping people from stealing single items. It sends them a message that they should not try to repeat their actions because they’ll get caught. Minimizing Theft in Retail These fascinating examples show how AI can help store managers, loss prevention officers and other responsible parties reduce the frequency of theft in their locations. Choosing the appropriate tools and learning how to use them properly is crucial for success. Black Friday is nearly here, which means customers will be swarming stores to snag the best deals — and retailers will be bracing for the corresponding boost in thefts. But even aside from the Black Friday bump, theft is a growing problem for many retailers. How could AI reduce the risk? Black Friday is nearly here, which means customers will be swarming stores to snag the best deals — and retailers will be bracing for the corresponding boost in thefts. But even aside from the Black Friday bump, theft is a growing problem for many retailers. How could AI reduce the risk? 1. Enabling Automatic Cart Audits 1. Enabling Automatic Cart Audits Some retailers have employees standing near store exits to check shoppers’ receipts as they leave, verifying that the list of items matches their cart contents. However, this process often becomes cumbersome during busy periods, requiring people to wait in lines. Leaders at Sam’s Club believe AI can do the task faster. As of April 2024, more than 120 locations used AI exit scanning technology, and the overall figure matched executives’ goal of adding AI to 20% of its stores by the end of the first quarter. Sam’s Club represents the largest deployment of such customer-facing technology in the retail industry. Customers who engage with it can leave stores 23% faster , and internal data shows more than 50% of shoppers use it. Notably, before rolling out this solution, Sam’s Club employees got feedback from customers about current pain points and what they wanted from their experiences. leave stores 23% faster leave stores 23% faster Participants mentioned they’d like faster and more convenient shopping trips and consistently brought up the waiting times associated with the previous cart audits as a primary downside.  Now, computer-vision cameras and digital technologies work in the background to check that cart contents match a customer’s payment records. This high-tech approach aligns with the company’s other improvements, such as its Scan & Go offering, which allows people to bypass the traditional checkout process when buying their items. The market value for AI products in retail was approximately $5 billion in 2023 , and it’s expected to grow. Decision-makers are even more likely to reap the benefits if they do as Sam’s Club leaders did and gather customer feedback. approximately $5 billion in 2023 approximately $5 billion in 2023 2. Curbing Potentially Harmful Employee Preferentiality Most people think of customers as the main people behind retail theft, but workers can exacerbate the problem, too. Sometimes, they might slip small items into their pockets during slow periods, believing no one will notice and they will never get caught. The circumstances can also become more complicated. One example is what some in the retail industry call “sweethearting.” It happens when employees give discounts or free items to friends or relatives. One tech company, Corsight AI, began offering AI technology to detect such interactions. More specifically, it spots unusual behavior by analyzing how close customers stand to employees. Because the tool tracks engagements over time, it can also determine if specific shoppers keep going to the same employee’s cash register or otherwise show a preference. The system flags unusual behaviors to the relevant store decision-makers, letting them decide whether to act. spots unusual behavior spots unusual behavior Critics have pointed out that regularly engaging with the same employees when shopping at a store doesn’t necessarily mean anything suspicious. Perhaps a customer appreciates a worker’s friendliness, efficiency or product knowledge, causing them to naturally interact when opportunities arise. However, increasing theft problems have caused some retail leaders to scrutinize things they might have previously ignored. That is particularly true for retailers selling high-value items. For example, jewelry companies’ crime-related losses exceeded $129 million in 2022. These retailers usually have high-tech security systems, but those defenses probably won’t catch occasional instances of store workers offering unusually generous discounts. AI tools might. 3. Providing Better Awareness Although circumstances vary, some potential shoplifters target locations before attempting to steal things. During each visit, they gather information such as the number of workers in the store at particular times, whether certain departments or products have dedicated security measures and the locations of entrances and exits. Someone who goes to a well-staffed store, notices numerous security cameras and sees how employees seem continually aware of their surroundings may decide against proceeding with theft attempt plans. Conversely, stores that seem virtually deserted and feature few or no visible security cameras are much more appealing to would-be thieves. Because AI products can work in the background and detect unusual occurrences, they help loss prevention officers and others become more aware of what happens in individual stores. For example, Everseen creates AI tech that can be used to help reduce self-checkout theft. Part of its approach involves processing footage from ceiling-mounted cameras, often gathering tens of millions of customer interactions daily. Another helpful aspect of the technology is that it can scan shelves to determine when specific products are almost out of stock. Additionally, retail leaders can use this product to get near-real-time analytics about what’s happening in a store and receive prompts about handling certain situations. For example, if the AI spots a frustrated customer, it might prompt a worker to engage with them to learn what’s wrong. Many retailers already use artificial intelligence creatively by incorporating it into their demand-planning processes. For example, automating supply chain activities could reduce costs by as much as 10% , making that goal a worthy pursuit for cost-conscious parties. In any case, improved awareness provided by specialty tech products could help retailers manage theft. by as much as 10% by as much as 10% 4. Analyzing Shoppers’ Gestures Although many retailers use facial recognition technologies, some consumers dislike the perceived lack of privacy. An AI alternative is potentially less invasive because it does not analyze people’s appearance, but rather whether they make suspicious movements commonly linked to theft. Wild Duck Wine & Spirits in Boston uses an AI product from company Veesion on all 24 of its security camera feeds. The technology checks shoppers’ gestures to see if they match those frequently used during shoplifting. For example, someone might try to conceal something in a clothing pocket. Another “red flag” occurs when people hide items in baby strollers. Finally, people may eat or drink while shopping, potentially consuming what they have not paid for yet. If the AI spots something specific, it alerts workers approximately 15 seconds later , providing a video clip of the event. Those employees can then choose whether to confront the person or see if they try to skip the checkout counter. approximately 15 seconds later approximately 15 seconds later A representative from the AI company explained that this solution is about more than stopping people from stealing single items. It sends them a message that they should not try to repeat their actions because they’ll get caught. Minimizing Theft in Retail These fascinating examples show how AI can help store managers, loss prevention officers and other responsible parties reduce the frequency of theft in their locations. Choosing the appropriate tools and learning how to use them properly is crucial for success.

With Black Friday Coming Up, Retailers Are Better Off Using AI to Combat Theft

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In today's tech world with fierce competition and tight deadlines, it is useful to explore new and exciting tools to improve the workflow. Open-source tools are there to help; with some significant advantages over other tools - they're customizable, offer more control, and are community-driven. I decided to handpick 9 powerful open-source projects that will enhance your cloud workflow, project management, user feedback, automation, and more. Whether you are a beginner or a seasoned developer there should be something for everyone to elevate your toolkit and inspire your next big project. Let’s dive in and hopefully, you will find some tools that you can use in the future! 1. StackQL – Manage cloud services with SQL StackQL offers a revolutionary approach to deploy, query, and interact with cloud services and resources using Structured query language (SQL). That means you no longer need to learn different APIs for each provider. StackQL parses your SQL statements and transpiles them into API requests that all your favorite major cloud providers would understand. Some of the best features include: SQL-based querying: unified SQL semantics for various cloud providers lets you save time and manage cloud services more efficiently.


Multi-cloud support: manage Google Cloud, AWS, Azure, Digital Ocean, etc. resources all from a single interface.


Several usage modes: use StackQL via the interactive REPL shell, via the command line utility, or execute StackQL statements in an input file (IQL file).


Powerful operations: perform live queries against cloud resources, make configuration changes, manage cloud infrastructure, and more.


Available for various OS: available to download for Windows, MacOS, and Linux. Ready to reduce setup times and simplify your cloud configurations? Try StackQL yourself and explore all the awesome features it comes with! ⭐ Star StackQL on GitHub: github.com/stackql/stackql 🌎 Website: stackql.io Thanks to the StackQL team for sponsoring this article. 2. Flagsmith – Feature flag management Flagsmith is an open-source feature flag management tool. You can use hosted API, deploy to your private cloud, or run as on-premise software. It enables gradual feature rollouts for safer deployments and easier A/B testing, reducing the risk of bugs and ensuring faster iteration cycles. 👨‍💻 GitHub Repository: https://github.com/Flagsmith/flagsmith 🌎 Website: flagsmith.com 3. Formbricks – User feedback and analytics Formbricks is an open-source tool for collecting user feedback and form analytics. It helps devs understand user behavior, allowing them to improve performance, reduce friction, and enhance the overall UX. 👨‍💻 GitHub Repository: https://github.com/formbricks/formbricks 🌎 Website: formbricks.com 4. Dub – URL shortener with analytics Dub is an open-source URL shortener with built-in analytics. It simplifies link management for websites, marketing, and projects. By allowing developers to manage and analyze shortened URLs, Dub streamlines project workflows, making link tracking and data gathering much easier. 👨‍💻 GitHub Repository: https://github.com/dubinc/dub 🌎 Website: dub.co 5. AppFlowy – Project & notes management AppFlowy is an open-source, privacy-focused alternative to Notion. It provides a flexible workspace for managing tasks, notes, and general knowledge. AppFlowy offers teams control over their data and customizations, allowing them to create a tailored workspace while benefiting from privacy and scalability. 👨‍💻 GitHub Repository: https://github.com/AppFlowy-IO/AppFlowy 🌎 Website: appflowy.io 6. APITable – Visual database for collaborative apps APITable combines the ease of spreadsheets with the power of databases. It helps teams collaborate on data-driven projects with visual and interactive tables. APITable simplifies data management and collaboration, allowing developers to organize and automate workflows with minimal setup and technical knowledge. 👨‍💻 GitHub Repository: https://github.com/apitable/apitable 🌎 Website: aitable.ai 7. Flowise – Build LLM workflows with flowcharts Flowise is an open-source visual tool that simplifies building workflows for large language models (LLMs). It’s designed to integrate AI with apps easily. Flowise allows developers to visually manage complex LLM workflows, speeding up the integration of AI into their applications without deep coding knowledge. 👨‍💻 GitHub Repository: https://github.com/FlowiseAI/Flowise 🌎 Website: flowiseai.com 8. Jan – Use AI with full control and privacy Jan is an open-source tool; a ChatGPT alternative that runs 100% offline on your device but with more control, flexibility, and no privacy concerns. Jan enhances productivity by allowing you to ask questions, brainstorm, and learn from the AI running on your device to be more productive. 👨‍💻 GitHub Repository: https://github.com/janhq/jan 🌎 Website: jan.ai 9. Docsify – Documentation site generator Docsify is an open-source documentation site generator that creates beautiful, responsive docs from markdown files. It simplifies the process of generating documentation, making it easy for developers to maintain and update their docs without complex builds. 👨‍💻 GitHub Repository: https://github.com/docsifyjs/docsify 🌎 Website: docsify.js.org Did you like the resources? Here is more 👇 Join 6000+ others to receive the best DEV resources, tools, productivity tips, and career growth advice I discover by subscribing to my newsletter! Also, connect with me on Twitter, LinkedIn, and GitHub! Writing has always been my passion and it gives me pleasure to help and inspire people. If you want to get featured or partner up, feel free to get in touch! Also, published here. In today's tech world with fierce competition and tight deadlines, it is useful to explore new and exciting tools to improve the workflow. Open-source tools are there to help; with some significant advantages over other tools - they're customizable, offer more control, and are community-driven. I decided to handpick 9 powerful open-source projects that will enhance your cloud workflow, project management, user feedback, automation, and more. Whether you are a beginner or a seasoned developer there should be something for everyone to elevate your toolkit and inspire your next big project. Let’s dive in and hopefully, you will find some tools that you can use in the future! 1. StackQL – Manage cloud services with SQL StackQL StackQL offers a revolutionary approach to deploy, query, and interact with cloud services and resources using Structured query language (SQL). That means you no longer need to learn different APIs for each provider. StackQL parses your SQL statements and transpiles them into API requests that all your favorite major cloud providers would understand. Some of the best features include: Some of the best features include: SQL-based querying: unified SQL semantics for various cloud providers lets you save time and manage cloud services more efficiently. Multi-cloud support: manage Google Cloud, AWS, Azure, Digital Ocean, etc. resources all from a single interface. Several usage modes: use StackQL via the interactive REPL shell, via the command line utility, or execute StackQL statements in an input file (IQL file). Powerful operations: perform live queries against cloud resources, make configuration changes, manage cloud infrastructure, and more. Available for various OS: available to download for Windows, MacOS, and Linux. SQL-based querying: unified SQL semantics for various cloud providers lets you save time and manage cloud services more efficiently. SQL-based querying : unified SQL semantics for various cloud providers lets you save time and manage cloud services more efficiently. SQL-based querying Multi-cloud support: manage Google Cloud, AWS, Azure, Digital Ocean, etc. resources all from a single interface. Multi-cloud support: manage Google Cloud, AWS, Azure, Digital Ocean, etc. resources all from a single interface. Multi-cloud support: Several usage modes: use StackQL via the interactive REPL shell, via the command line utility, or execute StackQL statements in an input file (IQL file). Several usage modes: use StackQL via the interactive REPL shell, via the command line utility, or execute StackQL statements in an input file (IQL file). Several usage modes: Powerful operations: perform live queries against cloud resources, make configuration changes, manage cloud infrastructure, and more. Powerful operations: perform live queries against cloud resources, make configuration changes, manage cloud infrastructure, and more. Powerful operations: Available for various OS: available to download for Windows, MacOS, and Linux. Available for various OS : available to download for Windows, MacOS, and Linux. Available for various OS Ready to reduce setup times and simplify your cloud configurations? Try StackQL yourself and explore all the awesome features it comes with! ⭐ Star StackQL on GitHub: github.com/stackql/stackql Star StackQL on GitHub: github.com/stackql/stackql github.com/stackql/stackql 🌎 Website: stackql.io 🌎 Website: stackql.io stackql.io Thanks to the StackQL team for sponsoring this article. 2. Flagsmith – Feature flag management Flagsmith Flagsmith is an open-source feature flag management tool. You can use hosted API, deploy to your private cloud, or run as on-premise software. It enables gradual feature rollouts for safer deployments and easier A/B testing, reducing the risk of bugs and ensuring faster iteration cycles. 👨‍💻 GitHub Repository: https://github.com/Flagsmith/flagsmith GitHub Repository: https://github.com/Flagsmith/flagsmith 🌎 Website: flagsmith.com 🌎 Website: flagsmith.com 3. Formbricks – User feedback and analytics Formbricks Formbricks is an open-source tool for collecting user feedback and form analytics. It helps devs understand user behavior, allowing them to improve performance, reduce friction, and enhance the overall UX. 👨‍💻 GitHub Repository: https://github.com/formbricks/formbricks GitHub Repository: https://github.com/formbricks/formbricks 🌎 Website: formbricks.com 🌎 Website: formbricks.com 4. Dub – URL shortener with analytics Dub Dub is an open-source URL shortener with built-in analytics. It simplifies link management for websites, marketing, and projects. By allowing developers to manage and analyze shortened URLs, Dub streamlines project workflows, making link tracking and data gathering much easier. 👨‍💻 GitHub Repository: https://github.com/dubinc/dub GitHub Repository: https://github.com/dubinc/dub 🌎 Website: dub.co 🌎 Website: dub.co 5. AppFlowy – Project & notes management AppFlowy AppFlowy is an open-source, privacy-focused alternative to Notion. It provides a flexible workspace for managing tasks, notes, and general knowledge. AppFlowy offers teams control over their data and customizations, allowing them to create a tailored workspace while benefiting from privacy and scalability. 👨‍💻 GitHub Repository: https://github.com/AppFlowy-IO/AppFlowy GitHub Repository: https://github.com/AppFlowy-IO/AppFlowy 🌎 Website: appflowy.io 🌎 Website: appflowy.io 6. APITable – Visual database for collaborative apps APITable APITable combines the ease of spreadsheets with the power of databases. It helps teams collaborate on data-driven projects with visual and interactive tables. APITable simplifies data management and collaboration, allowing developers to organize and automate workflows with minimal setup and technical knowledge. 👨‍💻 GitHub Repository: https://github.com/apitable/apitable GitHub Repository: https://github.com/apitable/apitable 🌎 Website: aitable.ai 🌎 Website: aitable.ai 7. Flowise – Build LLM workflows with flowcharts Flowise Flowise is an open-source visual tool that simplifies building workflows for large language models (LLMs). It’s designed to integrate AI with apps easily. Flowise allows developers to visually manage complex LLM workflows, speeding up the integration of AI into their applications without deep coding knowledge. 👨‍💻 GitHub Repository: https://github.com/FlowiseAI/Flowise GitHub Repository: https://github.com/FlowiseAI/Flowise 🌎 Website: flowiseai.com 🌎 Website: flowiseai.com 8. Jan – Use AI with full control and privacy Jan Jan is an open-source tool; a ChatGPT alternative that runs 100% offline on your device but with more control, flexibility, and no privacy concerns. Jan enhances productivity by allowing you to ask questions, brainstorm, and learn from the AI running on your device to be more productive. 👨‍💻 GitHub Repository: https://github.com/janhq/jan GitHub Repository: https://github.com/janhq/jan 🌎 Website: jan.ai 🌎 Website: jan.ai 9. Docsify – Documentation site generator Docsify Docsify is an open-source documentation site generator that creates beautiful, responsive docs from markdown files. It simplifies the process of generating documentation, making it easy for developers to maintain and update their docs without complex builds. 👨‍💻 GitHub Repository: https://github.com/docsifyjs/docsify GitHub Repository: https://github.com/docsifyjs/docsify 🌎 Website: docsify.js.org 🌎 Website: docsify.js.org Did you like the resources? Here is more 👇 Join 6000+ others to receive the best DEV resources, tools, productivity tips, and career growth advice I discover by subscribing to my newsletter ! my newsletter Also, connect with me on Twitter , LinkedIn , and GitHub ! Twitter LinkedIn GitHub Writing has always been my passion and it gives me pleasure to help and inspire people. If you want to get featured or partner up, feel free to get in touch ! get in touch Also, published here . here

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