Digital Phablet

Tag: Data

  • Truth Social Offers Rapid Trading Access to Trump’s Posts

    Truth Social Offers Rapid Trading Access to Trump’s Posts

    Trump Media & Technology Group has introduced a paid data feed called “Truth API” that provides banks and trading companies with rapid access to posts from key Truth Social accounts, including President Donald Trump’s, whose messages often influence global markets.

    This API delivers updates from the top 10 most impactful accounts faster than standard notifications on Truth Social. It is tailored for organizations where quick information is essential, such as algorithmic trading firms, helping to bridge the gap caused by manual monitoring methods previously used.

    This marks TMTG’s initial foray into data licensing, creating a new revenue stream amid intense competition from large social media platforms, which has hindered their media sector’s growth.

    Kevin McGurn, TMTG’s interim CEO, stated, “Markets already react to Truth Social posts. With increased adoption, we anticipate Truth API to become a significant, ongoing income source for us.”

    Trump has used Truth Social to make numerous market-influencing announcements, such as his “Liberation Day” tariffs and trade restrictions on China. On April 9, 2025, U.S. stock indexes surged after Trump posted that he would temporarily halt some new tariffs.

    Expert Mark Spiegel from Stanphyl Capital noted, “The only market-moving user on Truth Social is Trump himself. His posts have a clear impact on the markets.” When asked if this could give wealthier traders an edge, Spiegel responded, “Unequal trading opportunities always exist, and this is just another example.”

    The Donald J. Trump Revocable Trust, managed by his children, owns about 41% of Truth Social’s parent company, TMTG, with approximately 114.75 million shares. The White House has not responded immediately to inquiries, though a spokesperson previously denied conflicts of interest.

    Legal analyst Robert Frenchman pointed out that, while disclosure on such platforms must be handled carefully, offering early access to information might be permissible under securities laws, even if it disadvantages some market participants. TMTG has yet to comment on whether this could lead to uneven trading advantages.

    Senator Ron Wyden criticized the initiative, claiming it would financially benefit Trump’s family and enrich traders on Wall Street. The White House redirected questions to TMTG, which has not yet responded.

    The product ensures continuous monitoring of influential posts and maintains an archive dating back to 2022. Several clients have already registered ahead of its August 1 rollout.

    Prominent accounts include Trump, his sons Donald Jr. and Eric, and supporters like Dan Bongino and Sean Hannity. TMTG has also noted that many entities have been scraping data from Truth Social illegally, and CEO McGurn indicated they plan to make it more difficult for unauthorized users.

  • Indian Workers Train AI Robots to Replace Their Jobs

    Indian Workers Train AI Robots to Replace Their Jobs

    A female worker in Tamil Nadu’s Karur district, equipped with a head-mounted RGB camera, captures her actions through motion capture while organizing colored blocks at the AI data company Objectways’ office, as reported by AFP.

    Clad with a smartphone on her head, Nagireddy Sriramyachandra, an Indian housewife, films herself as she slices mangoes to help train AI-powered robots for household tasks in the future. Her simple recordings, earning her just over two dollars per hour, are highly valued by global tech corporations seeking to teach machines how to operate like humans in real-world settings.

    At 25 years old, she represents a growing number of thousands of AI system trainers across India. “Who else would pay INR 250 an hour just to do housework?” Sriramyachandra remarks from her Chennai kitchen. She also hopes she might get a robot of her own someday.

    While chatbots and image generators process massive amounts of digital data easily, designing systems capable of navigating physical environments remains complex. Developers believe that feeding first-person footage—known as “egocentric data”—to specialized AI models can teach robots to imitate human movements. Some trainers work from home, while others in factories or dedicated studios, using video glasses, head-mounted cameras, and motion sensors.

    Sriramyachandra explains that her recordings often prompt alerts like “‘hands not detected’” when not recorded properly, and she uploads these via an app to Objectways, which has offices both in India and the U.S. and serves Fortune 500 companies, including collaborations with Amazon SageMaker for machine learning development.

    The humanoid robot industry is experiencing rapid growth, with Morgan Stanley forecasting over a billion robots in use by 2050 mainly for industrial and commercial purposes. “Folding clothes, making coffee, cooking—particularly specific tasks like sandwich preparation,” says Ravi Shankar, Objectways’ head, listing the types of footage clients request. “Certain jobs will be automated so humans can focus on better things.”

    In India, the emerging field of spatial AI is creating new job opportunities—at least for now. Though the company’s CEO is based in the U.S., he hires from Tamil Nadu, a key hub for tech talent. At a textile factory in Karur, workers are seen wearing head cameras and smart glasses supplied by Objectways as they attach labels to caps and iron cloth bags. India has positioned itself as a global intermediary for creating, processing, and annotating AI data.

    “These data collection services are likely to grow,” states Aditi Surie, a digital labor expert from the Indian Institute for Human Settlements in Bengaluru.

    India is rapidly developing its AI sector, but officials recognize that alongside the promised benefits, automation also presents risks. Niti Aayog, a government think tank, notes that most discussions around AI and employment focus on white-collar jobs, predicting significant job losses without urgent government action. Little attention, the report emphasizes, is given to how AI could assist the 490 million informal workers who underpin India’s economy. The report examines how AI might impact various professions, from cobblers and sewer cleaners to farmers and tea vendors.

    Ponni, 55, from Bengaluru, has been making flower garlands on the roadside for over a decade. She, too, has had a phone strapped to her forehead for data collection. “Future generations… who might have to do similar work, will face challenges,” she comments.

    In Objectways’ studio, trainers film themselves performing household chores inside mock-up, fully furnished apartments. After thousands of hours of filming, the set is refreshed with new wallpapers to provide variety. Rani N., 21, an engineering graduate, takes breaks between sessions of folding towels, stating that she records around 90 videos a day, often in every corner of the bed. She finds the job “tolerable” but admits it makes her feel as though she’s constantly wearing a camera.

    Other colleagues arrange and record household objects like pencil sharpeners, water bottles, and crayons using depth-sensing cameras. A subcontractor, Qanat Consulting in Andhra Pradesh, supplies recordings to a dozen larger data firms, relying on about 2,000 contributors who wear motion-sensor bands on their limbs—according to CEO Thaslim Pattan.

    Meanwhile, Manish Agarwal from Bengaluru-based Humyn Labs, not affiliated with Objectways, records conversations alongside videos to help analyze speech patterns for clients. He believes that robots won’t replace human jobs but will instead work alongside humans. “Today, a welder in India might be managing an industrial robot in Prague,” he says.

  • Where to Decipher Data and Solve for Shani in Arc Raiders

    Where to Decipher Data and Solve for Shani in Arc Raiders

    With Apollo providing useful data to support Speranza’s infrastructure in ARC Raiders, the next step is gaining access to that data. Since most old-world information is encrypted, Speranza doesn’t always have the equipment necessary to decrypt it within the city.

    Many old-world machines are still operational to some extent, so your best chance to decode the data is to find computers or consoles outside the city that can do the job. If you manage to do this, Apollo can help improve Speranza’s buildings and prevent future damage from events like district collapses or earthquakes.

    Where to Find the First Data Decryption Point

    Deciphering this data is a quest assigned to Shani and takes place entirely in Spaceport. Head there and go to the Fuel Control Building on the northeast side of the map, next to Rocket Assembly.

    Enter the building and proceed to the large room filled with consoles at the southern end, just beyond the open-ceiling middle room. Look for a console on the left wall, standing alone.

    Approach this console to get a prompt to decrypt the data. Complete this task to advance, but if it fails, you’ll need to go to another location.

    Where to Find the Second Data Decryption Point

    Since the first option didn’t work out, your next target is the Arrival Building on the northwest side of the map. Enter through any available door, whether open or barricaded, and you’ll complete the next objective.

    Be cautious of Sentries when entering the Arrival Building, especially from the main lobby. Look for their blue search lights. They’re common enemies, and combined with Pop Rollers and Fireballs, they can easily defeat you if you’re not careful.

    The Arrival Building is also a good place to hunt for Sentinel Firing Cores needed to upgrade your Gunsmith Workbench to Level Three.

    After entering, head to the main lobby and go up the stairs to the second floor. Find the door with “Passenger Registration” written above it. Inside, to your left, there’s a barricaded door unless it has already been cleared. Inside that room, you’ll find a small office with three consoles near the window.

    Approach the middle console to get another prompt and try to decipher the data again.

    When you’re ready, return to Speranza and speak with Shani to collect your reward: experience points, three Defibrilators, and three Trailblazer grenades. These grenades perform well in close-quarters PvP scenarios, such as on maps like Stella Montis.

  • How to Get Satellite Data Peacefully in Outer Worlds 2 by Completing and Solving

    How to Get Satellite Data Peacefully in Outer Worlds 2 by Completing and Solving

    In The Outer Worlds 2, three main factions are fighting over the Arcadian star system, and they’re unknowingly causing the star system’s destruction. However, you don’t have to choose a side. With some effort and teamwork, you can unite the Order of the Ascendant and Auntie’s Choice to face their common enemy — the Protectorate.

    This requires a lot of work from both factions. The final task for the Order involves retrieving data from a satellite that crashed on Paradise Island, deep inside Protectorate territory. Since the Order doesn’t have a presence on the island anymore, they ask you to do it as a show of trust. Expect a fight unless you can find a way to outsmart the Protectorate.

    How To Start The Crash Course In Telemetry Quest

    This quest is the last in a series leading up to your meeting with Ruth Basaar, the Presiding Bishop of the Order of the Ascendant. All these quests are given by Laureate Enola Kraft, and this one isn’t affected by your previous choices, so you can’t miss it or lock yourself out.

    Keep in mind: Since the goal of the alliance between the Order and Auntie is to storm the Archive, many related quests might end if you decide to take control of the Archive yourself first.

    Kraft wants you to find a satellite that monitored the Order’s activities. It was once an important asset but now lies in Protectorate territory on Paradise Island. The Protectorate believes the satellite belongs to them since it was once part of their system, so they refuse to give it up. That means you’ll likely need to take it by force.

    Getting Help With The Satellite

    Kraft suggests there might be a peaceful way to handle this, but she doesn’t know how. She recommends visiting the Caffeintegration Point, a cozy coffee shop near Laplace Garden’s entrance, where operatives gather for advice during tough situations.

    Your approach depends on whether you’ve met Persephone Doyle before. If you have, she’ll be outside where you last saw her, and you can ask her directly for help if you’ve previously assisted her. If not, she’ll be inside behind the counter, offering both coffee and guidance.

    Before she agrees to assist, you’ll need to help her with her own task, called the Controlling For Convenience quest. This involves gathering a water sample from Laplace Garden and sending it to her allies. As long as you complete this — even with altered samples — she’ll be willing to help.

    Persephone isn’t giving her assistance for free. You’ll need to agree to let her copy the satellite data, and she’ll then create a diversion for you. She doesn’t specify what kind of diversion, so you’ll have to find out on your own.

    Recovering The Satellite Data

    Once you’ve arranged help, head over to Paradise Island and locate the satellite, guarded by Protectorate soldiers. If you didn’t ask Persephone for help, they’ll be immediately hostile. Your options are to fight them all or sneak around to grab the data from the crashed satellite — either way works.

    If you did team up with Persephone, you’ll encounter another Protectorate officer, Cadet Warden Halstead. She’s been told an engineer will examine the satellite soon, but she’s required to follow protocol since you don’t appear to be part of the Protectorate.

    To calm her concerns, you need a Engineering skill check of just four points. If you don’t have enough, you can try persuading her with Speech checks of four and five points. Failing both, you can use the Grim Visage perk to persuade her. Failing all options might trigger combat, as she’ll call for backup, and you’ll need to fight your way through multiple enemies with limited cover.

    No matter how you proceed, once at the satellite, just take the data — no skill check needed — and then return to Cloister.

    Should You Hand Over The Satellite Data To Persephone?

    You and Persephone agreed she’d create a diversion in exchange for a copy of the satellite data. You’re not required to follow through, but it’s generally better to let her handle her end, as it maximizes your rewards. After giving her the data, she’ll reward you with a Generative Masked Flat Cap and 2,000 Bits.

    Returning the data to Kraft makes her very happy, which is unusual for her. She’ll reward you with items like the Mathematician’s Mantle, the Advanced Decryption Key, and 650 Bits. With this quest finished, you’ll finally reach the stage to meet Ruth Basaar. If you’ve already met Auntie Cleo of Auntie’s Choice, this is your last step before negotiations. Remember, Ruth still needs some convincing before she agrees to talk.

  • From Brainy Bandages to New Teeth: Google’s $425M Challenge

    [gpt3] rewrite this content in American English and make it unique and human written and plagiarism free and do not include any introductions or extra text and only return the rewritten content

    Heal, seal, and send data: Bandages for the Sci-Fi age

      Photo credits: Reuters

    Bandages are getting an upgrade, and they’re a lot smarter than a roll of gauze.

    At Caltech, researchers have built iCares, a patch that doesn’t just cover wounds, it spies on them. By tracking oxygen, pH, and other biomarkers, it can warn doctors if healing stalls or an infection starts brewing. In early human trials, that meant problems were spotted days earlier than with standard care. (Caltech)

    Meanwhile, scientists at BITS Pilani went full sci-fi: their bandage detects infections and kills bacteria on contact, no antibiotics needed. It uses reactive materials to zap microbes while keeping skin safe.

    Other labs are layering in flexible sensors that track moisture, heat, and chemical shifts. All signs of how a wound is really doing. (PMC)

    The big picture: chronic wounds affect millions worldwide, but smart bandages could cut hospital trips, speed up recovery, and slash antibiotic use. In other words: the next life-saving medical device might come out of your first-aid kit.

    The teeth’s second coming

    Glorious news for boxers, MMA enthusiasts, people with a short temper, and the elderly. Japanese researchers are formulating an experimental drug that will regrow teeth. Now you can eat sweets and only have to worry about blood sugar, fat, and diabetes.

    Bones and teeth are made up of the same things: Calcium, minerals, and collagen (and enamel for teeth). But teeth, unlike bones, lack the ability to regrow if damaged or broken. 

    Human trials began in September of last year, so this is something that could actually be promising. I think I speak for quite a few of us when I say, “We will watch your career with great interest.”

    Google just got hit with a $425M privacy smackdown

    Turns out, flipping that “off” switch on Google’s tracking settings wasn’t as final as users thought. A US federal court just ordered the tech giant to cough up $425 million (£316.3m) for quietly harvesting data from millions of people even after they’d disabled its Web & App Activity feature.

    The lawsuit, filed by fed-up users, accused Google of sneaking into mobile devices, scooping up personal data, and cashing in on it despite promises to respect privacy settings.

    The group had originally been gunning for a staggering $31 billion in damages, but even this verdict sends a sharp message: Big Tech can’t just nod at your privacy, then ignore it behind the curtain.

    Science just pulled a Rick Sanchez — 3D-printed skin that heals like the real thing

    “Aw jeez, Rick, they’ve gone and printed skin now!”

    No joke — Swedish researchers have 3D-printed artificial skin that can actually grow its own blood vessels. Think less lab coats, more Rick’s garage vibes.

    Here’s how it works: they cooked up a “bio-ink” where skin cells kick back on gelatin beanbags, spitting out collagen like it’s space goo. Then they 3D-printed hydrogel strands that dissolve into tiny tunnels — basically blood-flow portals waiting to be activated.


    Artwork by Affan Qasim; created using Gemini Pro 

    Why it matters: regular skin grafts are like patching up a spaceship with duct tape — they hold, they work, but they’re not the perfect fix. This new tech could mean grafts that heal faster, scar less, and behave more like the real thing.

    Still only in mice for now, but if science keeps leveling up like this, we’re not too far from “interdimensional wound healing.”

    Martian Mud Might Be Alive: NASA’s Latest Discovery Stirs Debate

    NASA’s Perseverance rover just turned over a rock—well, a whole mudstone—that could rewrite cosmic history.

    Before you pop the champagne: no, NASA hasn’t found alien microbes waving hello. What they have found are redox reactions—the same kind of chemical energy trades that, here on Earth, microbes use to stay alive.

    Joel Hurowitz, PhD—geosciences professor at Stony Brook University and lead author of the new paper—explains that these reactions could be plain chemistry. But here’s the kicker: their observations in Mars’ Bright Angel formation don’t line up neatly with a purely non-biological explanation. The iron, sulfur, and phosphorus-bearing nodules, plus those reaction fronts, might be a biosignature—a potential fingerprint of ancient life.

    This discovery doesn’t close the case for life on Mars—but it sure makes the Red Planet look less dead and a lot more interesting.

    Guiding drivers though the chaos (by blinding them in one eye)

    I’m getting ever closer to getting Vegeta’s ‘scouter’ from Dragon Ball Z (DBZ).

    Augmented Reality (AR) glasses have been a thing for a while, but Amazon is reportedly rolling out AR glasses for 100 ‘000 delivery drivers. While we’re still at least a year away from Amazon releasing these glasses — codenamed JayHawk — to the public, these glasses are supposed to have microphones, speakers, and a camera, and most importantly, a full-color display in one eye. 

    Now don’t get me wrong, this is pretty cool, but I’m a bit skeptical on how they’re going to implement this in an unobtrusive way for driving. We wouldn’t want driver’s half blind running into people’s mailboxes while making deliveries.

    Personally, I can’t wait to LARP as a DBZ character when these do come out. Hoping Bezos comes out with a monocle version.

    [/gpt3]

  • US Supreme Court Grants DOGE Access to Social Security Info

    US Supreme Court Grants DOGE Access to Social Security Info

    Sure! Here’s a rewritten version of the content in American English that is unique and written in a human-like manner:

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    A glimpse of the US Supreme Court in Washington, DC, on July 1, 2024. — Reuters

    On Friday, the US Supreme Court granted the Department of Government Efficiency (DOGE), an integral component of President Donald Trump’s initiative to reduce the federal workforce, broad access to personal information from Social Security Administration (SSA) data systems during an ongoing legal dispute.

    The court acted on a request from the Justice Department, temporarily staying a ruling by Maryland-based US District Judge Ellen Hollander, which had significantly restricted DOGE’s ability to access “personally identifiable information” from data, including medical and financial records, while a lower court’s litigation takes place. Hollander had determined that unrestricted access for DOGE could likely breach a federal privacy statute.

    The Supreme Court’s short, unsigned order did not explain the reasoning behind its support for DOGE, which holds a 6-3 conservative majority, while the three liberal justices opposed the decision.

    Liberal Justice Ketanji Brown Jackson, joined by fellow liberal Justice Sonia Sotomayor, criticized the majority for allowing DOGE “unfettered access to data” without demonstrating any necessity or desire to abide by existing privacy protections.

    In an additional ruling on Friday, the Supreme Court upheld its block on judicial orders requiring DOGE to provide records to a government watchdog group seeking information about its creation under Trump and Musk.

    DOGE was established under the Trump administration, alongside billionaire Elon Musk’s efforts to streamline the federal workforce, reconfigure the government, and eliminate what they deemed wasteful expenses. Musk officially wrapped up his government role on May 30.

    Two labor unions and an advocacy group filed a lawsuit to prevent DOGE from accessing sensitive data at the SSA, including Social Security numbers, bank account details, tax information, earnings histories, and immigration records.

    The SSA is a significant provider of government benefits, issuing monthly checks to over 70 million individuals, including seniors and disabled citizens.

    Democracy Forward, a liberal legal organization representing the plaintiffs, stated that Friday’s order jeopardizes the privacy of millions of Americans.

    “Elon Musk may have departed from Washington, DC, but his influence continues to harm countless individuals,” the group asserted in a statement. “We will use every legal avenue available to protect the public’s most sensitive data as this case advances.”

    The plaintiffs contended in their lawsuit that the SSA had been “ransacked,” with DOGE members appointed without the necessary vetting or training, yet demanding access to some of the agency’s most confidential data systems.

    In an April 17 ruling, Hollander noted that DOGE had not adequately justified why its mission required “unprecedented, unfettered access to virtually all of SSA’s data systems.”

    “For nearly 90 years, the SSA has adhered to a foundational principle of privacy regarding its records,” Hollander wrote. “This case reveals a significant breach in that foundation.”

    Hollander issued a preliminary injunction that barred DOGE personnel and their affiliates from accessing personal information, with very limited exceptions. The judge allowed DOGE’s associates to access data that had been anonymized, provided they had completed the necessary training and passed background checks.

    Additionally, Hollander directed DOGE affiliates to “disgorge and delete” any personal information they had previously acquired.

    The 4th US Circuit Court of Appeals, located in Richmond, Virginia, voted 9-6 on April 30 to uphold Hollander’s restrictions on DOGE’s unlimited access to SSA records.

    Lawyers from the Justice Department described Hollander’s order in their Supreme Court appeal as an overreach by the judiciary.

    “The district court is compelling the executive branch to prevent employees tasked with modernizing government information systems from accessing the necessary data,” they wrote.

    The six dissenting judges argued that this case should have been approached as other cases had been, including one in which a 4th Circuit panel voted 2-1 to allow DOGE access to data from the US Treasury, Education Departments, and the Office of Personnel Management.

    In a concurring opinion, seven judges who voted against DOGE emphasized that the Social Security data case was “substantially stronger” due to the “vastly greater stakes,” referencing “detailed and extremely sensitive Social Security records,” such as family court documents, school records for children, mental health treatment histories, and credit card information.

    —

    Let me know if you need any further changes!

  • iOS 26 Backup Guide: Protect Your Data Before Updating

    As the launch of iOS 26 approaches, it’s crucial for Apple users to prioritize their data safety. With new features and improvements on the horizon, it’s easy to overlook the potential risks involved in updating your device. Here’s a comprehensive guide to help you back up your data effectively before you hit that update button.

    Why Backing Up is Essential

    When updating to a new operating system, there’s always a chance that unforeseen issues might arise. A robust backup ensures you can restore your data if something goes wrong, including:

    • Data Loss: Application glitches or system errors can result in losing important files.

    • Settings Corruption: Some settings might not carry over during the update.

    • App Compatibility: Certain apps might not function well with the new version, causing data mishaps.

    By preparing for the update, you can mitigate these risks.

    Types of Backup Options

    There are several methods to back up your iPhone or iPad data before upgrading to iOS 26. Here’s a breakdown of the most popular options:

    iCloud Backup

    • Automatic and Effortless: iCloud conveniently backs up your device automatically when plugged in and connected to Wi-Fi.

    • Access Anywhere: Your backup is stored in the cloud, allowing you to access it from any device logged into your iCloud account.

    How to Backup Using iCloud:

    1. Go to Settings on your device.

    2. Tap your name at the top, then select iCloud.

    3. Scroll down and tap on iCloud Backup.

    4. Ensure iCloud Backup is turned on, then select Back Up Now.

    iTunes or Finder Backup

    • Full Control: Provides a complete backup of your device, including all media and data.

    • Local Storage: Keeps a copy of your data on your computer, keeping it away from the risks of the cloud.

    How to Backup Using iTunes (Windows) or Finder (Mac):

    1. Connect your device to your computer using a USB cable.

    2. Open iTunes or Finder, depending on your OS.

    3. Select your device from the sidebar.

    4. Click on Back Up Now to create a backup.

    Third-Party Backup Solutions

    If you prefer a different approach, several third-party applications can provide additional features:

    • iMazing: Allows selective backups and management of your data easily.

    • Dr.Fone: Provides device management tools alongside backup options.

    Always choose a reputable application to ensure the safety of your data.

    Common Backup Mistakes to Avoid

    When backing up, it’s important to steer clear of common pitfalls. Here are a few mistakes to keep in mind:

    • Forgetting to Back Up Regularly: Make backups a routine part of your device management.

    • Ignoring App-Specific Data: Certain apps, like messaging or document applications, may require manual backups.

    • Using Outdated Software: Always ensure that your backup application (iTunes, Finder, etc.) is updated to avoid compatibility issues.

    Verifying Your Backup

    After your backup is complete, ensure its integrity:

    • Check iCloud Storage: Log in to verify the backup date and size.

    • Use iTunes/Finder for Confirmation: On your PC, under your device summary, you can view details about your last backup.

    Preparing for the Update

    Once your backup is secure, you’re ready for the iOS 26 update. Be sure to:

    • Make sure your device has ample storage space for the update.

    • Review feature highlights of iOS 26 to understand new functionalities.

    • Keep your device plugged in during the entire update process to prevent interruptions.

    By following these steps and guidelines, you can confidently embrace the features of iOS 26, knowing your data is safe and secure. Remember, a little preparation goes a long way in ensuring a seamless transition to the next iteration of Apple’s operating system.

  • How to Transfer Data from Switch to Switch 2: A Step-by-Step Guide

    How to Transfer Data from Switch to Switch 2: A Step-by-Step Guide

    When comparing the Switch 2 and the original Switch, it’s clear that Nintendo’s new console shines brightly. The Switch 2 not only performs all the functions of its predecessor but also offers enhanced mouse controls, upgraded graphics, and a plethora of upcoming titles that simply wouldn’t be feasible on the original model. As soon as you unbox your new console, you’ll be eager to jump into Mario Kart World or any of the other launch titles. However, it’s essential to transfer your data—especially if you plan on selling or gifting your old Switch. Here’s a straightforward guide on how to move your data from the Switch to the Switch 2, along with what will carry over.

    Transferring Data from Switch to Switch 2

    To successfully transfer your data, you’ll need both consoles, a reliable internet connection, and ensure both devices are plugged in during the process.

    It’s also a good idea to have a MicroSD card handy for the Switch 2 if you intend to migrate multiple games. While the new console boasts significantly more internal storage than its predecessor, large games can quickly consume that space.

    Step 1: On your original Switch, navigate to the System Settings Menu.

    Step 2: Scroll down to System and select System Transfer to Nintendo Switch 2.

    Step 3: With your Switch 2 powered on and plugged in, download the initial system update.

    Step 4: After updating, log in to your Nintendo account.

    Step 5: On your original Switch, click Done.

    Step 6: You will be presented with a list of all the software on your Switch that will be transferred—this process will move the data, not create a copy, to your Switch 2.

    Step 7: The duration of the data transfer may vary depending on the volume of data and your internet connection speeds. However, our experience showed that transferring our account without games took around ten minutes. You can transfer all profiles, digital games, save data, screenshots, videos, and even parental controls through the system transfer.

    Digital Trends
  • Over 1,100 Migrants Cross Channel in One Day: UK Officials Report

    Over 1,100 Migrants Cross Channel in One Day: UK Officials Report

    Title: Surge in Migrant Crossings: Over 1,100 Arrive in the UK


    Drone footage captures an inflatable dinghy loaded with migrants making its way to England in the English Channel on May 4, 2024. — Reuters

    • 1,194 migrants reached the UK by crossing the Channel in small boats.
    • The highest daily total recorded was 1,300 arrivals in September 2022.
    • French authorities rescued nearly 200 migrants between Friday and Saturday.

    LONDON: On Saturday, 1,194 migrants successfully crossed the Channel and reached the UK, marking a record for the year based on data compiled by AFP from government sources.

    This brings the total number of crossings in 2024 to 14,808, an unprecedented statistic despite ongoing efforts from both French and UK governments to reduce these numbers.

    French coastal authorities reported that they rescued nearly 200 migrants over the weekend.

    UK Defense Secretary John Healey characterized the recent crossings as "shocking," although they do not surpass the all-time daily high of 1,300 small boat arrivals recorded in September 2022.

    Nevertheless, these developments are a source of concern for UK Prime Minister Keir Starmer, who has been under pressure from far-right factions to tighten immigration policies.

    The Home Office issued a statement expressing, "We all want to put an end to dangerous small boat crossings, which put lives at risk and challenge our border security."

    Earlier this month, Starmer introduced new immigration policies aimed at increasing the duration required for migrants to qualify for residency and enhancing powers to deport foreign criminals.

    These measures are widely viewed as an effort to regain voter support in light of growing competition from the hard-right Reform Party.

    Legislation aimed at addressing irregular immigration, known as the Border Security, Asylum and Immigration Bill, is currently being reviewed in Parliament.

    However, the recent surge in crossings represents a significant setback.

    The total of 14,808 crossings recorded in the first five months of 2024 is the highest since records began in 2018, when this route gained popularity.

    It also surpasses the previous record for the first half of the year, which stood at approximately 12,900 crossings.

    "Shocking" Conditions

    On Saturday, French authorities conducted four rescue operations, assisting a total of 184 individuals along the coast.

    In one case, the engine on a boat carrying 61 people failed, while in another, nine people requested help from nearby vessels.

    According to an AFP tally, there have been 15 fatalities this year related to Channel crossings, known as one of the busiest shipping lanes in the world.

    "Pretty shocking scenes yesterday," Healey remarked in an interview with Sky News on Sunday. "We observed smugglers launching from various locations and then circling around to pick up migrants, indicating that Britain has lost control of its borders."

    Though French officials agreed to increase police patrols to intercept migrants in shallow waters this year, they cannot prevent boats once they are en route.

    "We have reached an agreement with the French to adjust their operational methods," Healey noted, emphasizing the need for closer collaboration to implement these changes.

    He also mentioned to the BBC, "The focus is on convincing the French to enhance their intervention capabilities in shallow waters, which they currently do not exercise."

  • 79% of Experts Say AI Is Ubiquitous; Only 27% of Public Agrees

    79% of Experts Say AI Is Ubiquitous; Only 27% of Public Agrees

    Understanding the Disconnect: Public Perception of AI

    Artificial Intelligence (AI) has become a ubiquitous presence in our daily lives, subtly influencing numerous activities without drawing much attention. However, there exists a notable gap between the understanding of AI among the general public and that of experts in the field.

    The Pervasiveness of AI in Daily Life

    AI technology has advanced significantly in recent years, seamlessly integrating into various aspects of everyday life. From smartphone cameras that use machine learning algorithms for image enhancement to streaming services like Spotify that curate personalized playlists, AI is omnipresent. Social media platforms likewise employ AI to tailor user experiences, using algorithms that analyze behavior and preferences, often without the user’s conscious awareness.

    Differing Perspectives: General Public vs. Experts

    A survey conducted by the Pew Research Center highlights a striking contradiction in perceptions regarding AI usage. Only 27% of U.S. adults believe they interact with AI on a frequent basis, whether that be daily or several times a day. In stark contrast, 79% of AI experts—those actively engaged in AI research or application—believe that Americans engage with AI technology much more regularly.

    Public Underestimation

    Many in the general public tend to view AI primarily through the lens of recognizable applications, such as virtual assistants (e.g., Siri, Alexa) or chatbots like ChatGPT. This narrow view contributes to the underestimation of AI’s role in day-to-day life. For instance, few may realize that many online shopping experiences, customer service interactions, and even healthcare services are increasingly driven by AI technologies that work behind the scenes.

    Expert Insights

    AI experts, on the other hand, possess a broad understanding of machine learning applications and recognize that AI operates at various levels across numerous sectors. Their perspective encompasses a wide array of technologies, including those used in data analysis, natural language processing, and autonomous systems. This informed viewpoint gives them a much clearer picture of how prevalent AI truly is in everyday functions.

    Implications of Misunderstanding AI

    The disconnect in perception poses several challenges. As AI continues to evolve, misconceptions may lead to public resistance towards adopting new AI-driven technologies. Additionally, if people do not grasp the full scope of what AI entails, it hampers their ability to make informed choices regarding its use.

    The Importance of Education

    To bridge this gap, a broader educational effort is required to demystify AI for the general public. Enhancing public understanding of the various applications of AI can empower individuals to navigate this technology more effectively and make conscious decisions regarding its use.

    Navigating Risks and Benefits

    Understanding AI not only highlights its benefits but also prepares individuals to assess potential risks. By fostering a more accurate awareness of what AI is and how it operates, individuals can better evaluate the implications of AI-powered services and advocate for ethical standards in AI development.

    The Future of AI Awareness

    As AI technology continues to advance, fostering a more informed public discourse surrounding AI will be crucial. Initiatives aimed at raising awareness of AI applications in daily life can significantly enhance public comprehension, ultimately leading to wiser, more informed engagement with this transformative technology.

  • Meta Trains AI On Your Data But Opting Out Fails

    Meta Trains AI On Your Data But Opting Out Fails


    Picture a tech giant announcing that it intends to utilize your Instagram and Facebook content for training its AI models, without offering anything in return. The company claims you have the option to opt out. However, when you attempt to exercise that choice through their official channels, they simply don't function.

    This is the experience being reported by users of Facebook and Instagram. Nate Hake, publisher and founder of Travel Lemming, revealed that he received an email from Meta regarding its plans to use his social media content for AI training, but the link to opt out that was provided was inoperative.

    Furthermore, this isn't the only troubling aspect. Meta pledged to respect the wishes of users who do not want their data to be harnessed for AI training. According to Hake, however, when he submitted his request, he received a response stating that the company "cannot take further action" on it.

    What is going on?

    Meta AI on mobile and desktop web interface.
    Meta

    Back in 2018, during the period when Meta was still known as Facebook, the organization disclosed that it was training AI algorithms using the millions of photos uploaded to Instagram. At that point, Meta AI and the Llama AI models hadn't yet come into existence, but it foreshadowed future issues.

    Fast forward to 2025, and Meta is fully invested in AI, a technology that notoriously demands vast amounts of training data. Users on platforms like Instagram and Facebook are now discovering that their personal information is being utilized for AI training, while the geolocation-restricted opt-out tools are failing to work properly.

    Meta has a long history of training its models on user-contributed content, but in light of ongoing copyright and privacy concerns, the company has faced significant regulatory scrutiny. In June of last year, it announced plans to halt the use of EU user data for AI training.

    User complaining about Meta AI on X.
    @natejhake / X

    However, less than a year later, the company indicated that it would resume collecting user data, including photos and comments, from users located in the EU and the UK to support training for Meta AI. The company justified this move by claiming it is a standard practice adopted globally.

    In an official blog post, the company stated, "We’re following the example set by others including Google and OpenAI, both of which have already used data from European users to train their AI models."

    Allow them to opt out, if feasible

    In mid-April of this year, Meta announced plans to inform users in the EU and the UK about changes to its AI training policy. The notification process was set to include an in-app alert as well as an email notification.

    According to Meta, these notifications would feature a link granting users the opportunity to object to their data being utilized in this capacity at any time. The company assured users that the opt-out form would be easy to find and would provide clear information.

    Meta's consent response for AI training.
    @ichbinGisele / X

    Despite these assurances, many users, including Hake, reported that the opt-out link was malfunctioning. He and numerous others took to social media to express their dissatisfaction with Meta's handling of the situation. It remains uncertain whether the issue with the opt-out form is a technical glitch or something more deliberate.

    Hake emphasizes the apparent disregard for user choice and criticizes the company's sudden shift in stance. Although Meta recently vowed to respect all objection forms received, including new submissions, Hake’s efforts to express his concerns were met with a claim that no further action would be taken. Meta promotes a transparent approach regarding the use of social content for AI training, but there seems to be a lack of follow-through on these commitments.

  • Meta Trains AI Using Your Data, Opting Out May Not Help

    Meta Trains AI Using Your Data, Opting Out May Not Help


    Imagine a leading tech company seeking to use your posts from Instagram and Facebook to enhance its AI models, with no incentives offered in return. Although they claim you have the option to opt out, users are discovering that the mechanisms to do so simply don’t function.

    Recently, Facebook and Instagram users have voiced concerns about this issue. Nate Hake, founder and publisher of Travel Lemming, shared that he received an email from Meta on this topic. However, the link provided to opt out was non-functional.

    Compounding the problem, after reaching out to Meta for clarity on his request, Hake was informed that the company could not accommodate his request. He simply received a lackluster response indicating they would take no further action.

    What is going on?

    Meta AI on mobile and desktop web interface.
    Meta

    Back in 2018, when Meta was still known as Facebook, the company disclosed its intention to train AI algorithms using the vast number of photos shared on Instagram. At that time, the Meta AI and Llama AI models had not yet been established, but this foreshadowed future challenges.

    Fast forward to the present, Meta is heavily investing in AI technology, which relies on vast amounts of data for training. Users of its platforms are now recognizing that their content is being utilized for this purpose, as the opt-out options seem ineffective.

    For years, Meta has been repurposing user-generated content, yet has faced significant scrutiny due to copyright concerns and privacy issues. As a result, the company paused plans to train its AI on data from users in the EU as of last June.

    User complaining about Meta AI on X.
    @natejhake / X

    However, less than a year later, Meta announced it would resume collecting user content—including photos, videos, comments, and chats—for AI training from users in the EU and the UK. The company asserted this is merely continuing a global standard practice.

    “We’re following the examples set by others, like Google and OpenAI, who have already leveraged data from European users to train their AI models,” the company stated in an official blog post.

    Allow them to opt out, if possible

    In mid-April of this year, Meta announced that it would update users in the EU and the UK about its revised AI training policies. This message would reach users through both in-app notifications and official emails.

    “These notifications will also include a link to a form, allowing individuals to object to their data being utilized in this manner at any time,” the company assured. Meta emphasized that the form would be easily accessible and written in clear language.

    Meta's consent response for AI training.
    @ichbinGisele / X

    Nate Hake reported that the opt-out link provided by Meta was failing to function. Others responding to his post echoed similar experiences, criticizing Meta for its seemingly dubious practices. It remains unclear whether this malfunctioning link is a technical error or something more deliberate.

    Hake has highlighted the lack of consideration for user autonomy and the apparent reversal on the company's commitments. Despite reassurances from Meta just over a week earlier that they would “honor all objection forms submitted, including those currently on file,” Hake's attempts to engage on this matter received a response indicating that they would not be taking any action.

    While Meta professes to support transparency concerning the use of social content for AI training, the reality appears to indicate a gap between their promises and actual practices.

  • AI Data Analysis For Beginners

    AI Data Analysis For Beginners

    In an age where data drives decision-making across various fields, understanding AI data analysis becomes an essential skill. This article will guide you through the fundamental concepts and tools necessary for effective data analysis using artificial intelligence.

    Understanding AI Data Analysis

    AI data analysis involves the use of artificial intelligence technologies to interpret and extract valuable insights from complex datasets. By automating data processing, AI can uncover patterns and trends that would be challenging for human analysts to detect manually.

    Key Components of AI Data Analysis

    1. Data Collection: The first step in any data analysis is gathering relevant data. This can come from:

      • Surveys

      • Web scraping

      • Databases

      • Social media

    2. Data Cleaning: Raw data often contains errors or inconsistencies. Cleaning data may include:

      • Removing duplicates

      • Correcting errors

      • Handling missing values

    3. Data Processing: This involves organizing the data so it can be effectively analyzed, which may involve:

      • Normalization

      • Transformation

      • Encoding categorical variables

    4. Data Analysis: Utilizing AI techniques, analysts can dive deep into the data to discover insights. This can include:

      • Statistical analysis

      • Machine learning algorithms

      • Predictive modeling

    5. Data Visualization: Presenting insights visually helps in making complex data more comprehensible. Common visualization tools include:

      • Bar charts

      • Line graphs

      • Heatmaps

      • Dashboards

    Basic AI Concepts Relevant to Data Analysis

    Machine Learning

    Machine learning (ML) is a subset of AI that allows systems to learn from data and improve their performance over time. Key types of ML include:

    • Supervised Learning: The model is trained on labeled data. Examples include:

      • Classification tasks (e.g., spam detection)

      • Regression tasks (e.g., predicting house prices)

    • Unsupervised Learning: The model identifies patterns in unlabeled data. Common techniques include:

      • Clustering (e.g., customer segmentation)

      • Association rules (e.g., market basket analysis)

    Natural Language Processing (NLP)

    NLP is the AI domain that helps machines understand and interpret human language. It is useful in text-based data analysis, including:

    • Sentiment analysis (evaluating opinions)

    • Topic modeling (identifying common themes in texts)

    Deep Learning

    Deep learning, a subset of machine learning, uses neural networks to analyze data. It is particularly effective in:

    • Image recognition

    • Speech recognition

    • Complex pattern detection

    Tools for AI Data Analysis

    There are numerous tools available for beginners interested in AI data analysis. Popular options include:

    • Python: A versatile programming language with a wealth of libraries for data analysis, including:

      • Pandas (for data manipulation)

      • NumPy (for numerical computations)

      • Matplotlib and Seaborn (for visualization)

    • R: A programming language specifically designed for statistical analysis and data visualization.

    • Tableau and Power BI: User-friendly data visualization tools that help in creating interactive dashboards.

    • Google Cloud AI and Microsoft Azure: Cloud-based platforms that offer AI services, including machine learning and data processing capabilities.

    Getting Started with AI Data Analysis

    Steps to Begin

    1. Learn the Basics: Familiarize yourself with essential concepts in data analysis and AI. Online platforms like Coursera, edX, and Khan Academy offer introductory courses.

    2. Choose a Programming Language: Opt for either Python or R, as both are widely used in data analysis. Focus on learning libraries relevant to data handling and visualization.

    3. Practice on Real Datasets: Websites such as Kaggle and UCI Machine Learning Repository provide access to diverse datasets for practice.

    4. Start Simple: Begin your analysis with basic statistics and gradually explore more complex algorithms as your comfort level increases.

    5. Engage with the Community: Join forums, attend meetups, or participate in online discussions. Engaging with others can provide valuable insights and answer your questions.

    Recommended Resources

    • Books: Titles such as "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron and "The Data Warehouse Toolkit" by Ralph Kimball are excellent starting points.

    • Online Courses: Consider enrolling in courses focused on data analysis, machine learning, or AI on platforms like Udacity or DataCamp.

    • Tutorials and Blog Posts: Websites like Towards Data Science and Medium host numerous articles that cover both foundational and advanced topics.

    By following these guidelines and resources, you’ll build a solid foundation in AI data analysis and be well on your way to uncovering insights from data. The world of AI is vast, and as you grow in your understanding, you’ll discover its potential to revolutionize the decision-making process across various sectors.

  • 43% Boycott Brands Over Animal Cruelty, Survey Reveals

    43% Boycott Brands Over Animal Cruelty, Survey Reveals

    Understanding Brand Cancelation: The Reasons Behind the Boycott Movement

    In today’s socially conscious marketplace, consumers are more empowered than ever to hold brands accountable for their practices. Recent research by Statista highlights the primary reasons that lead consumers to boycott or protest against companies, revealing deep concerns regarding ethics and social responsibility.

    The Top Reasons for Brand Cancellation

    Animal Cruelty

    According to the survey conducted by Statista Consumer Insights, the foremost reason consumers choose to boycott a brand is due to animal mistreatment. In fact, 43% of over 3,000 respondents in the U.S. indicated that they would stop supporting companies that engage in practices they consider cruel to animals. This concern has risen to prominence across several Western countries, marking a significant shift in consumer priorities.

    Racism and Human Rights Violations

    Closely following animal cruelty, issues related to racism and human rights violations comprise another critical factor driving consumer boycotts. The survey shows that 42% of U.S. respondents cited racism, while 40% pointed to human rights abuses as significant deterrents to brand loyalty. These statistics underline the growing intolerance for unethical behaviors that impact marginalized communities.

    Environmental Concerns

    Environmental sustainability has become an increasingly vital aspect of corporate responsibility. In countries like Germany, respondents rated environmental concerns as a top reason for boycotting a brand—on par with human rights abuses. This perspective reflects a global recognition of the urgent need to mitigate climate change and reduce ecological harm.

    Health Risks and Misleading Advertising

    Interestingly, when examining consumer attitudes in Japan, there was a distinct emphasis on health risks associated with products and inappropriate advertising tactics. Japanese respondents prioritized the safety and integrity of products, suggesting a more health-conscious consumer base demanding transparency and authenticity from brands.

    Behavioral Insights from U.S. Consumers

    The survey not only sheds light on the reasons behind boycotts but also reveals consumer behaviors regarding brand engagement:

    Prevalence of Boycotting

    Approximately 13% of U.S. respondents admitted to having boycotted a brand in the past due to perceived unethical practices. This indicates that while many consumers express their willingness to actively support ethical business behaviors, only a fraction has translated this sentiment into action.

    Communication and Advocacy

    The survey also noted that 21% of consumers discussed their concerns about brands with friends, while 25% opted for social media platforms to broadcast their discontent. This highlights the role of social networks as influential space for consumers to rally support against companies they perceive as unethical.

    The Dichotomy of Intent vs. Action

    An intriguing finding from the survey is that while 86% of American respondents felt justified in boycotting or attacking a brand based on its practices, nearly half (49%) had never actually taken such action. This discrepancy calls into question the dynamics of consumer intent versus actual engagement, suggesting that while there’s significant awareness, it may not always translate to direct consequences for brands.

    Global Comparison of Concerns

    While the U.S. consumer landscape prioritizes animal cruelty, racism, and human rights violations, international perspectives vary. For instance, consumers in countries like Germany place equal weight on environmental issues, suggesting a more holistic view of corporate responsibility that includes the welfare of the planet. The contrast between these attitudes underscores the diverse values held by consumers around the world and indicates that brands must navigate a complex moral landscape.

    Cultural Differences in Consumer Attitudes

    Recognizing these cultural differences is imperative for brands operating in multiple markets. What resonates as a critical issue in one country may not hold the same weight in another, thus complicating the strategy for brand messaging and public relations across borders.

    The dynamics of cancel culture shed light on the increasing expectation for companies to align with ethical standards. With consumers wielding the power to shape brand reputations through their choices, businesses must remain vigilant and responsive to the concerns that drive today’s conscientious consumers.

  • 72% of Brazilians Own Credit Cards; U.S. at 49%

    72% of Brazilians Own Credit Cards; U.S. at 49%

    Understanding Credit Card Ownership Around the World

    Credit cards play a significant role in financial transactions globally. From their convenience to the various benefits they offer, these cards have become an essential part of modern consumer culture. Recent data illustrates the widespread usage of credit cards in different countries, providing insight into consumer behavior and financial practices.

    Credit Card Usage in Brazil

    In Brazil, credit card ownership is prevalent, with a remarkable 72% of online respondents aged between 18 and 64 years boasting credit cards as of 2024. A unique feature of Brazilian credit cards is their dual functionality; they often work as both debit and credit cards. This flexibility allows consumers to manage their finances more effectively while still enjoying the benefits associated with credit.

    Moreover, many Brazilian credit cards have the option to pay in installments, making them especially appealing for larger purchases. This practice of installment payments has become a standard approach to shopping in the country, enabling consumers to make significant purchases while distributing the costs over time.

    Credit Card Penetration in Canada

    Canada stands out in the global landscape of credit card ownership, with about 68% of Canadians carrying a credit card. The popularity of credit cards in Canada can be attributed to various factors, including attractive rewards programs. Many Canadians see credit cards not merely as a payment tool but as a means of earning rewards on their everyday purchases.

    Canada is often cited as having one of the highest credit card penetration rates worldwide, with a notable occurrence of individuals owning more than one card. This dual ownership trend highlights a shift in consumer behavior, as many Canadians prefer credit cards over debit cards, showcasing a cultural inclination towards credit-based transactions.

    Credit Card Landscape in the United States

    In the United States, credit card usage has seen varying statistics, with approximately 49% of respondents stating they own a card. This figure indicates that while credit card usage is common, there remains a significant portion of the population that may rely on alternative payment methods.

    The U.S. credit market is characterized by fierce competition among credit card companies, offering various incentives such as cash back, travel points, and even introductory offers for new cardholders. These incentives are designed to attract new customers and encourage current cardholders to utilize their cards more frequently.

    Credit Card Ownership in China and the Netherlands

    Credit card usage in China is relatively lower compared to Brazil and Canada, with 42% of respondents indicating ownership. The Chinese market tends to favor mobile payment solutions and digital wallets, which are increasingly integrated into everyday transactions. This shift has influenced the traditional usage of credit cards, leading to a distinct payment culture that prioritizes convenience and technological integration.

    Conversely, the Netherlands exhibits the lowest credit card ownership in the surveyed nations, with only 38% of respondents owning a credit card. The Dutch population often prefers debit cards and other payment methods, reflective of the country’s strong banking infrastructure and consumer habits that emphasize financial prudence.

    Summary of Global Credit Card Trends

    The data surrounding credit card ownership reveals significant trends in consumer behavior across different countries. From Brazil’s hybrid card system to Canada’s reward-centric utilization and the mobile-first approach in China, each country has developed its own relationship with credit cards. Understanding these dynamics is crucial for businesses aiming to tap into the growing market of credit card users and for consumers looking to navigate their financial options effectively.

    As the financial landscape continues to evolve, the role of credit cards will likely become even more integrated into global commerce, influencing how people manage spending and savings in the future.

  • Oracle and Nvidia Ignite Fintech Innovation: AI and Cloud Revolution

    Oracle and Nvidia Ignite Fintech Innovation: AI and Cloud Revolution

    Enhancing Innovation Through Strategic Collaborations

    The influence of these collaborations goes beyond isolated applications, creating a ripple effect throughout the financial services landscape.

    For example, Reality Defender harnesses the strengths of Oracle’s cloud technology along with NVIDIA’s artificial intelligence tools to tackle the pressing issue of financial fraud, especially as AI-generated threats continue to advance swiftly.

    Ben Colman, the Co-Founder and CEO of Reality Defender, highlights the importance of their mission. “AI is progressing at a remarkable pace, far quicker than regulations can adapt,” Colman states. “While we have an optimistic view of AI’s growth, it’s clear that regulatory frameworks still need to evolve.”

    This perspective is shared by Ntropy, whose transaction processing system showcases the growth potential these partnerships can achieve.

    “Currently, we handle around one hundred million transactions each week,” notes Naré Vardanyan, Co-founder and CEO of Ntropy. “That’s just a fraction—less than half a percent—of the total transactions in the United States. Our goal is to reach at least 10% within the next three to four years.”

    Ntropy’s platform enhances small and medium-sized enterprises’ access to capital, often available but not effectively distributed. By collaborating with Oracle and NVIDIA, Ntropy reduces the manual barriers that complicate fund accessibility.

    Naré adds, “We are incredibly fortunate to work with Oracle and NVIDIA. Their hands-on support has been invaluable—we’ve recently signed multiple customers and partners in just a few days.”

    Be sure to check out the latest issue of FinTech Magazine and join the discussion at our global conference series, FinTech LIVE.

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  • SaaScada Joins FinTech LIVE London as Newest Sponsor

    SaaScada Joins FinTech LIVE London as Newest Sponsor

    Mark your calendars for 2025 and join us at the FinTech LIVE London Global Summit, where we’ll unite industry leaders, innovators, and change-makers to foster collaboration, creativity, and inclusion within the financial services sector.

    Now more than ever, financial inclusion is crucial. Companies in the financial industry are tapping into digital tools and data-driven strategies to provide essential services. Often, technology serves as a game changer, delivering these services at lower costs and with greater convenience than traditional banking methods, effectively reaching those who are underserved or completely unbanked.

    The FinTech LIVE London Global Summit presents a unique chance to explore the latest trends in fintech, connect with key influencers, and gather practical insights to seamlessly incorporate financial technology into your organization’s main operations.

    If you’re interested in participating, click here to register.