Nov 1 (Reuters) - CDW (CDW.O) reported third-quarter revenue below estimates on Wednesday on lower demand for the company's information ... their technology spend," the company said. CDW, which has products ranging from notebooks to data center services ...

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The average estimate of seven analysts surveyed by Zacks Investment Research was for earnings of $2.59 per share. The information technology company posted revenue of $5.63 billion in the period, which did not meet Street forecasts.

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CDW Corporation , a leading multi-brand provider of information technology solutions to business ... Inc. , a global provider of end-to-end enterprise software support, products and services, the leading third-party support provider for Oracle and SAP ...

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Clear communication is critical for the federal government. With the volume of data being generated each day, and the amount of information that agencies want to deliver to both their own workers and the general public, it’s important that the messages delivered are received as intended.

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The State of California Department of Technology and Lumen Technologies are tackling digital inclusion head-on with a multi-billion dollar network investment to bring equitable, high-speed fiber broadband service to Californians.

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3D Systems Announces Additional Restructuring Initiative and Provides Preliminary Third Quarter 2023 Financial Results

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Late Equity Roundup: Utilities and Comm Services Outperform

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200 Black Women in Tech to Follow on Twitter in 2022

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200 Black Women In Tech To Follow on Twitter {2021 List}

Several months ago, saying that the “cure” that facial recognition offers is worse than the ills it solves would have seemed hyperbolic. But now, the metaphor has become all too literal -- and the medicine it promises isn’t quite so easy to reject when sickness is sweeping the globe. Even as it depresses economies across the world, the coronavirus pandemic has sparked a new period of growth and development for facial recognition technology. Creators pitch their tools as a means to identify sick individuals without risking close-contact investigation. In China, the biometrics company Telpo has launched non-contact body temperature measurement terminals that -- they claim -- can Telpo is near-evangelical about how useful its technology could be during the coronavirus crisis, that “this technology can not only reduce the risk of cross infection but also improve traffic efficiency by more than 10 times [...] It is suitable for government, customs, airports, railway stations, enterprises, schools, communities, and other crowded public places.” identify users even if they wear a face mask. writing COVID-19: A Push Towards Dystopia? At a surface glance, Telpo’s offerings seem...good. Of course we want to limit the spread of infection across public spaces; of course we want to protect our health workers by using contactless diagnostic tools. Wouldn’t we be remiss if we didn’t at least consider the opportunity? And this is the heart of the problem. The marketing pitch is tempting in these anxious, fearful times. But in practice, using facial recognition to track the coronavirus can be downright terrifying. Take Russia as an example -- , city officials in Moscow have begun leveraging the city’s massive network of cameras to keep track of residents during the pandemic lockdown. according to reports from BBC In desperate times like these, the knee-jerk suspicion that we typically hold towards invasive technology wavers. We think that maybe, just this once, it might be okay to accept facial recognition surveillance -- provided, of course, that we can slam the door on it when the world returns to normal. But can we? Once we open Pandora’s box, can we force it shut again? In March, the New York Times that the White House had opened talks with major tech companies, including Facebook and Google, to assess whether using aggregated location data sourced from our mobile phones would facilitate better containment of the virus. Several lawmakers immediately pushed back on the idea; however, the discussion does force us to wonder -- would we turn to more desperate measures, like facial surveillance? How much privacy would we sacrifice in exchange for better perceived control over the pandemic? reported Understanding America’s Surveillance Culture Risk I’ve been thinking about this idea ever since January, when an expose published by the New York Times revealed that a startup called had quietly developed a facial recognition app capable of matching unknown subjects to their online images and profiles -- and promptly peddled it to over 600 law enforcement agencies without any public scrutiny or oversight. Clearview stands as a precursor; a budding example of what surveillance culture in America could look like, if left unregulated. One quote in particular sticks in my head. Clearview AI “I’ve come to the conclusion that because information constantly increases, there’s never going to be privacy,” David Scalzo, the founder of a private equity firm currently investing in Clearview commented for the Times. “Laws have to determine what’s legal, but you can’t ban technology. Sure, that might lead to a dystopian future or something, but you can’t ban it.” Scalzo’s offhand, almost dismissive tone strikes an odd, chilling contrast to the gravity of his statement. If facial recognition technology will lead to a surveillance-state dystopia, shouldn’t we at least try to slow its forward momentum? Shouldn’t we at least consider the dangers that a dystopia might pose -- especially during times like these, when privacy-eroding technology feels like a viable weapon against global pandemic? I’m not the only one to ask these questions. Since January’s expose, Clearview AI has come under fire from no fewer than four lawsuits. The first castigated the company’s app for being an ; the second took aim both at Clearview’s tool and the IT products provider CDW for its licensing of the app for law enforcement use, “The [Chicago Police Department] [...] gave approximately 30 [Crime Prevention and Information Center] officials full access to Clearview's technology, effectively unleashing this vast, Orwellian surveillance tool on the citizens of Illinois." The company was also recently sued in and . “insidious encroachment” on civil liberties alleging that Virginia Vermont All that said, it is worth noting that dozens of police departments across the country already use products with facial recognition capabilities. One report on the United States’ facial recognition market found that the industry is expected to grow from by 2024. The Washington Post further reports that the FBI alone has searches across federal and local databases since 2011. $3.2 billion in 2019 to $7.0 billion conducted over 390,000 facial-recognition Unlike DNA evidence, facial recognition technology is usually relatively cheap and quick to use, lending itself easily to everyday use. It stands to reason that if better technology is made available, usage by public agencies will become even more commonplace. We need to keep this slippery slope in mind. During a pandemic, we might welcome tools that allow us to track and slow the spread of disease and overlook the dangerous precedent they set in the long-term. Given all of this, it seems that we should, at the very least, avoid panic-prompted decisions to allow facial recognition -- and instead, consider what we can do to avoid the slippery slope that facial recognition technology poses. Are Bans Protection? Considering San Francisco In the spring of 2019, San Francisco that outright forbade government agencies from using tools capable of facial surveillance -- although the ruling was amended to allow for equipped devices . The lawmakers behind the new ordinance , writing that “the propensity for facial recognition technology to endanger civil rights and civil liberties substantially outweighs its purported benefits.” passed legislation if there was no viable alternative stated their reasoning clearly They have a point. Facial recognition software is notorious for its inaccuracy. One new federal study also found that people of color, women, older subjects, and children faced . higher misidentification rates than white men “One false match can lead to missed flights, lengthy interrogations, tense police encounters, false arrests, or worse,” Jay Stanley, a senior policy analyst at the American Civil Liberties Union (ACLU), . “But the technology’s flaws are only one concern. Face recognition technology — accurate or not — can enable undetectable, persistent, and suspicionless surveillance on an unprecedented scale.” told the Washington Post While it’s still too early to have a clear gauge on the ban’s efficacy, it is worth noting that the new legislation sparked a few significant and immediate changes to the city’s police department. In December, “When the surveillance law and facial recognition ban were proposed in late January, San Francisco police officials told Ars Technica that the department stopped testing facial recognition in 2017. The department didn’t publicly mention that it had contracted with DataWorks that same year to maintain a mug shot database and facial recognition software as well as a facial recognition server through summer 2020.” Wired reported that The department scrambled to dismantle the software after the ban, but the department’s secretive approach remains problematic. The very fact that the San Francisco police department was able to acquire and apply facial recognition technology without public oversight is troubling.The city’s current restrictions offer a stumbling block by limiting acceptance of surveillance culture as a normal part of everyday life -- and prevent us from automatically reaching for it as a solution during times of panic. A stumbling block, however, is not an outright barricade. Currently, San Francisco is under a shelter-in-place mandate; as of April 6, it had a reported . If the situation worsens, could organizers suggest that the city make an exception and use facial recognition tracking to flatten the curve, just this once? It’s a long-shot hypothetical, but it does lead us to wonder what could happen if we allow circumstances to convince us into surveillance culture, one small step at a time. 583 confirmed cases and nine deaths Bans can only do so much. While the San Francisco ruling proves that Scalzo’s claim that “Laws have to determine what’s legal, but you can’t ban technology” isn’t strictly speaking correct, the sentiment behind it remains. Circumstances can compel us into considering privacy-eroding tech even as those explorations lead us down a path to dystopia. So, in a way, Scalzo is right; the proliferation of facial recognition technology is inevitable. But that doesn’t mean that we should give up on bans and protective measures. Instead, we should pursue them further and slow the momentum as much as we can -- if only to give ourselves time to establish regulations, rules, and protections. We can’t give in to short-term thinking; we can’t start down the slippery slope towards surveillance culture without considering the potential consequences. Otherwise, we may well find that the “cure” that facial recognition promises is, in the long term, far worse than any short-term panic.

Could COVID-19 Kickstart Surveillance Culture?

The Aertos drones are able to fly stably indoors without external reference like GPS Creators of the Aertos® drone are using its patented artificial intelligence (A.I.) system and mathematical framework for indoor COVID-19 disinfection April 6, 2020, Lenexa, KS – a global leader in autonomous technology for any vehicle that flies, drives, dives or swims – has developed the first indoor drone with C-band ultraviolet (UVC) lights, created specifically to combat the spread of the COVID-19 (SARS-CoV-2) with a 99% disinfection rate. The Aertos 120-UVC will be available in volume in May. Digital Aerolus By using its patented technologies, the Aertos 120-UVC can fly stably inside buildings contaminated by the COVID-19 virus, allowing humans to stay safely away from infected areas. Digital Aerolus’ industrial drones do not use GPS or external sensors, enabling them to operate stably in places other drones cannot go, including small and confined spaces. UVC disinfection has been used for decades to keep viruses and other pathogens out of our drinking water and off hospital surfaces, with volumes of research supporting its application. Combining Digital Aerolus’ industrial drone technology with small but powerful UVC emitters, the Aertos 120-UVC is mobile, cost-effective and delivers the rapid disinfection of COVID-19 without putting humans at risk. Co-founded by Jeff Alholm, a leader in the development of the first smartphone, Newton-based Seahorse; millimeter-wave imaging technology; the 802.11 Wi-Fi standard; the pulse oximeter; and the capnograph, Digital Aerolus pivoted over the past three weeks to launch an innovative and effective UVC light delivery tool to quickly disinfect essential businesses: Healthcare Facilities – patient rooms, hospital rooms and waiting areas Grocery Stores – checkout spaces Airplanes and Public Transit – seats and exposed surfaces Business Common Areas – restrooms, workrooms, break room surface areas Warehouses and Product Areas – work surfaces, product handling and storing areas Aertos 120-UVC Technical Details The Aertos 120-UVC flies above a surface using 36 optically intense 265 NM LED UVC lights When the drone flies at 6 feet above a surface for five minutes, it provides a greater than 99% disinfection rate of more than a 2 x 2-meter surface. Video: //curiosityshots.com/wp-content/uploads/2020/04/Preschool-Drone-Flight_1.mp4 As this global crisis has unfolded, we’ve been committed to developing an innovative and accessible solution to wage war against COVID-19 and mitigate the risk to humans worldwide,” said Alholm. “Like many others, we are innovating to combat this horrible virus, and we’re focused on how we can use our unique technology to deliver virus killing to challenging environments. Using UVC energy to disinfect isn’t new, but our delivery method is. The method matters, because it helps to keep people safe amid a pandemic.” The Aertos 120-UVC will be available in volume in May through Digital Aerolus partners and resellers including . Find out more information about the Aertos 120-UVC on the CDW Digital Aerolus website. Digital Aerolus develops autonomous technology for any vehicle that flies, drives, dives, or swims. The company’s revolutionary software combines Artificial Intelligence with multi-dimensional mathematics, allowing vehicles to operate entirely independent of traditional navigational aids. Digital Aerolus’ first commercial product is a line of industrial drones for indoor, inaccessible, and confined spaces. Find out more by visiting DigitalAerolus.com. Video: //curiosityshots.com/wp-content/uploads/2020/04/4-5-UV-Disinfectant.mp4 Previously published at //curiosityshots.com/worlds-first-indoor-drone-combats-covid-19-and-delivers-99-disinfection-rate/

World’s First Indoor Drone Combats COVID-19 And Delivers 99% Disinfection Rate

The 2018 Black Women in Tech to Follow On Twitter List

200 Black Women in Tech to Follow on Twitter

News flash… decisions by business customers are increasingly driven by the same dynamics of peer-to-peer networks and opinions that influence consumers (e.g. Yelp, Trip Advisor…). sports a $380 billion value, in part, because of the power of the like button to influence purchases by consumers. Facebook Businesses spend $3 trillion a year on enterprise technology. Enterprise companies know that the “white papers” they publish lack independence, and thus score low in terms of buying consideration. Buyers are looking for content that combines expertise with an independent voice. That’s why “peer recommendations are influencing more than 90% of all B2B buying decisions” according to . A Gartner study found that peer networks, like are the dominant way that buyers are getting input from other end users: technology a recent HBR article IT Central Station The enterprise tech purchase path has three phases Exploration — do I want to make a change? Evaluation — what approach am I going use to make to this change? Engagement — can I work with this specific vendor? According to Gartner, during the second and third phases of the buying process, recommendations from analysts and influencers, including peer reviews, is the most important factor driving the buying decision. IT Central Station, lead by the talented , is using the power of peer reviews in enterprise tech to build a big business. For example, (Application Performance Management). Russell Rothstein here’s a review of AppDynamics APM It All Starts With The Users & Monthly Uniques Are Growing Rapidly As IT Central Station is a private company, for competitive reasons, we won’t disclose exact figures, but total visitors to IT Central Station grew 52% in 2016 vs. 2015: User growth accelerated to 60% in January 2017 over the previous January, driven by 66% growth in organic search, as Google increasingly appreciates the value of IT Central Station’s peer reviews. This enables IT Central Station content to consistently rank at or near the top of organic search results for a large range of enterprise IT products: Example of ITCS Appearing at the top of a Google Search (out of 918,000 results) Example of ITCS Appearing at the top of a Google Search (out of 431,000 results) The reason the users are coming to IT Central Station is to read in-depth reviews. While the main competitors have reviews that are 50 words long on average (Spiceworks) or 100 words on average (G2 Crowd), IT Central Station reviews are over 400 words on average, solidifying its position as the place to go to read in-depth peer reviews of enterprise tech products Syndication of Content is Adding to IT Central Station’s Reach IT Central Station has a growing list of distribution agreements with many of the leading technology publications. of IT Central Station reviews on CDW, the largest reseller in the IT industry at $17 billion in annual sales. Here is a sample IT Central Station also distributes its product reviews on leading tech media sites including CIO.com, Computerworld, and InfoWorld. Finally, in October, in another confirmation of the value of IT Central Station’s peer reviews, IT Central Station was featured in LinkedIn’s announcement that “ ”. LinkedIn Introduces B2B Product and Service Reviews Into the Feed Each of these partnerships adds significant reach to IT Central Station, enhancing it’s ability to reach the decision makers buying $3 trillion worth of enterprise technology every year. Monetization Is Growing Even Faster Than User Growth Given the dramatic impact that peer reviews have on buying decisions, it’s no surprise that IT Central Station has a blue chip roster of enterprise IT clients: Partial List of IT Central Station Clients Clients love IT Central Station reviews: AppDynamics: “Our largest deal of the year was a result of our investment in IT Central Station.”Oracle: ““IT Central Station was ranked #1 when we asked leading members of the Oracle IT community which peer-to-peer technology review sites they were most aware of.” As a result of their strong relationship with their customers, IT Central Station revenue grew 90% in 2016, driven by a 52% increase in users, and a 25% increase in the revenue per user. Revenue per customer grew 150% from January 2015 to January 2016 driven by the increase in reach, as well as the introduction of new products, most notably, the introduction of video reviews. . Here’s a video review of HPE’s 3Par Flash Storage IT Central Stations’ revenue should continue to climb in 2017 and beyond as IT Central Station continues to grow its reach, grow its customer base, and add new products. Future Opportunities For Growth Are Significant At its core, IT Central Station has built a sophisticated buyer intent database and engine built upon big data technology. IT Central Station tracks the behavior of enterprise buyers on its platform and assigns a buyer intent score, aggregating that data across other visitors from the same organization. As a result, IT Central Station knows which enterprises are currently in a buying process, which vendors they are evaluating, length of the buying process, seniority of the people involved in the process, and other valuable buyer data. Today, IT Central Station monetizes that information by enabling its clients to market to its users leveraging the intent. There is a big opportunity for IT Central Station to better leverage that information, potentially even creating its own marketplace. While that path is unchartered at the moment, what is clear is that when you have a large and growing amount of buyer intent information in a $3 trillion market, the opportunities are significant.

IT Central Station Is Riding the Peer Recommendation Wave in Enterprise Tech

After Hideo Kojima’s departure from , we all thought that we won’t be able to get the same experience ever again. However, we did know that there will be a lot of other amazing games by Kojima and BOOM! Death Stranding’s trailer gets launched. The gaming world went crazy when they heard about making another game. I remember myself literally jumping off my couch and going crazy. Everyone was eagerly waiting for the game’s release. Konami Metal Gear Solid Hideo Kojima Finally, the game hit the stores on 8th November 2019 and there were massive lines outside the stores. The online stores starting running out of stock on the very first day. Fortunately, I pre-ordered the game and it was delivered to me hassle-free on my doorstep. Sometimes, I admire my intelligence. Jokes apart, the game has been a huge thing even before it’s release. Hideo Kojima had delivered yet another masterpiece. As soon as I got my hands on the game, I installed it in my PS4 Pro and started playing it. Beautiful… just beautiful! The graphics, the gameplay, the story… the everything… just breathtaking. I played for hours and hours, days and days and still couldn’t get enough of that game. The gameplay is so good that I am still playing the game even after two months of its release. Most people stopped playing the game after finishing the main story and I can’t stress enough on how big of a mistake they have made. Well, I think that it is clear by now that I am still playing the game even after completing the main story and thank god I did that because I’ve been finding many things that most of the players may not have encountered. Yes, I am talking about hidden (not literally) things in the game. So, buckle up and ride along with me on this journey of some secrets, easter eggs, and references that you probably missed in the masterpiece known as : Death Stranding Hideo Kojima Cameo Reference In Death Stranding, the very first meeting with Mama is a hilarious yet epic reference to . During a Side Ops mission in the game, Kojima plays an NPC and after he has been rescued, he would ask Snake, “What took you so long?”. This is the same thing that Mama says after meeting the main character in Deah Stranding for the first time. Fun fact: Hideo Kojima’s cameo became a viral meme after Metal Gear Solid V: Ground Zeroes and that is why Kojima added this reference in Death Stranding. Hideo Kojima’s cameo in Metal Gear Solid V: Ground Zeroes The Opening Quote Has A History When you start playing the game, there is a quote on the screen by , Kōbō Abe “ ”. The Rope, along with the stick, are two of mankind's oldest tools. The stick to keep the bad away, the rope used to bring the good toward us. They were our first friends, of our own invention. Wherever there were people, there were the rope and the stick While this quote might seem unrelated to the game at first, but it will make a lot of sense when you play through the story. The concept of the quote is in co-relation with both the theme and gameplay. Kojima has been a huge fan of Kōbō Abe’s work and almost all of his work is inspired by that of Abe’s. Fun fact: The Metal Gear Solid franchise is inspired by another poem by Abe called “ ”. The poem was about a man who wore a box around his head. The Box Man Now, This Is Adorable Every person who has played Death Stranding will agree with me on this, BB is freakin’ adorable. But he doesn’t just look adorable... if you play the game on a in 4K resolution, you’ll be able to notice something precious during the cutscenes that include BB. Look closely and you’ll notice that when BB is looking at someone he likes, heart-shaped bubbles will come out of his mouth. This is just a fun and cute thing added to the game by Hideo Kojima. This is what makes him one of the best video game developers ever. PS4 Pro Snake? Snaaaaaaake!! OK, this is not in the game, however, the reason I titled this section that is because there is an easter egg related to this in the game. When you meet Deadman at the beginning of the game, he talks about the voidouts being the reason for turning the surrounding area into a crater and ultimately, causing a Game Over. As soon as he says this, a Game Over screen appears in the background. And guess what it looks like… yes, it looks like the memorable from the earlier MGS games. Even the font is nearly identical. game over screens These were the 4 secrets, easter eggs, and references that I have caught and encountered in Death Stranding as of now. While I would be searching around for more. I would love to know if you guys have seen any of these or any other that I missed. Let’s start a conversation in the comments below.

Secrets And References That You Probably Missed In Death Stranding

We live in a unique time, a time when everything is changing rapidly, thanks to . AI is revolutionizing numerous industries in the market. In this article, we will discuss how multilingual model overcomes language barriers and assists companies in accessing the global market! AI Cohere's But before we will dive in, inviting to build with the latest AI technologies at our ! lablab.ai you AI Hackathons The Challenge Problems and limitations arise when humans and machines attempt to communicate using natural language. These barriers can occur due to differences in linguistic understanding, context, ambiguity, and the limitations of current machine-learning models. Consider an example of a person who wants to order pizza: Human: "I'm craving some pizza. Where's a good place to get one around here?" Machine: "You should try Joe's Pizzeria. It's amazing!" In this scenario, the human expresses a desire for and seeks a recommendation for a good place to get one. However, the machine lacks common ground with the human, meaning it does not possess shared knowledge about the local area, including the availability and quality of pizza establishments. Consequently, the machine responds with a generic suggestion, assuming the human is looking for a general recommendation. pizza The lack of common ground prevents the machine from providing personalized or contextually relevant information. Ideally, a machine equipped with relevant location-based data, user preferences, or access to local reviews could offer more tailored recommendations. Establishing common ground between humans and machines necessitates the machine's ability to leverage shared knowledge, user preferences, or external resources to provide more accurate and contextually appropriate responses. This is where comes in. Cohere’s Multilingual Model How Cohere tackles these challenges For teams working with machine learning, Cohere's Multilingual Model Embed provides a powerful tool for creating text analysis applications. It offers high-performance and accurate embeddings in English as well as over 100 other languages. Its key features include: Build semantic search capability using conversational language Clustering similar topics and discovering thematic trends across a body of text sources Building a recommendation engine to engage users with more relevant content Running topic modeling, semantic search, and recommendations across 100+ languages with just one model Relevance of Multilingual Models Enabling individuals with diverse linguistic backgrounds to transcend language barriers fosters the exchange of knowledge, ideas, and innovations. This, in turn, paves the way for swift advancements in various domains like science and technology, ensuring equitable access to information and opportunities for people across the globe. They have use in many areas: Multilingual Model can help translate text or speech between different languages, making it easier for people to communicate. They can also assist in real-time language conversion during conversations. Translation and Interpretation: This model allows users to search for information in one language and get results in multiple languages, so language barriers don't limit access to information. Finding Information in Different Languages: They can generate articles, reports, or social media posts in different languages. They can also make long texts shorter and easier to understand. Creating and Summarizing Content: Multilingual Model make it possible for chatbots and virtual assistants to help people in different languages, so more people can benefit from their assistance. Chatbots and Virtual Assistants in Multiple Languages: This model can support language learners by providing translations, language exercises, vocabulary help, and grammar correction, making learning more effective for people studying different languages. Language Learning: They can analyze feelings and opinions expressed in different languages, helping organizations track their reputation, customer feedback, and public sentiment on a global scale. Understanding Sentiments and Social Trends: It can improve customer support by enabling multilingual communication, making it easier for customers and support agents to understand each other. Better Customer Support in Different Languages: LLMs can compare cultural aspects, expressions, and sentiments across languages, which is useful for studying different cultures, analyzing markets, and understanding global trends. Cross-cultural Analysis: The model can accurately translate legal and medical documents, making it easier for professionals in these fields to access important information. Translations for Legal and Medical Fields: , a global leader in trustworthy and equitable AI solutions for businesses, has the trust of numerous world-class brands such as , , and . These brands leverage platform to securely and responsibly engage with millions of consumers. With LivePerson, these brands facilitate over a billion conversational interactions each month, which in turn generates a vast and invaluable dataset. platform equips businesses with safety tools and harnesses the potential of generative AI and large language models to drive improved business outcomes. LivePerson HSBC Chipotle Virgin Media LivePerson's Conversational Cloud LivePerson's The impact of conversational solutions, powered by large language models, is immense for customer brands. The utilization of LLMs not only leads to increased customer and employee satisfaction, but it also enables brands to automate a greater number of workflows, reduce operational costs, and optimize resource allocation. By leveraging LLM-powered conversational solutions, brands can redirect their human staff towards higher-value tasks, further enhancing efficiency and maximizing the benefits of AI-driven technologies. LivePerson's Cohere's Summary Cohere's Multilingual Model addresses the challenges of communication barriers between humans and machines by providing a powerful tool for text analysis applications. With high-performance and accurate embeddings available in English and over 100 other languages, Cohere enables teams to build semantic search capabilities, cluster similar topics, and create recommendation engines. This allows businesses to connect and succeed worldwide by engaging users with relevant content and providing contextually appropriate responses in multiple languages. With Cohere's Multilingual Model, businesses can overcome language barriers and tap into global markets more effectively. Big thanks to for writing this article for 💚 Shreya lablab.ai

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