Dataconomy (@dataconomy)
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The leading portal for the world of data-driven technology.
Videos
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– video by @dataconomy
How does silicon become a CPU or GPU? Here is the basic process. • Quartz provides the starting material for silicon. • High-temperature processing helps extract silicon from oxygen. • Further purification makes it suitable for semiconductor manufacturing. • The silicon is grown into a single crystal and sliced into wafers. • Lithography transfers circuit patterns onto the wafer. • Etching and doping help form the structures needed for transistors. • The wafer is cut, and individual chips are packaged and tested. Advanced manufacturing uses EUV lithography with 13.5-nanometer light. This is how raw material becomes the foundation of modern computing. #CPUs #GPUs #EUVLithography #SemiconductorIndustry
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– video by @dataconomy
Google Playground is bringing several AI capabilities into one game-making experience. Here's what each tool contributes: Gemini — helps create the game logic. Nano Banana — generates art and images. Lyria — creates music and sound. You can describe a game, customize its appearance with your own photos, refine it through chat, and download the files. The experience also supports sharing, playing with friends, and discovering other creators' work. Google is also working with Unity on more advanced tools for game creators. It's an interesting step toward making game creation accessible to people who aren't traditional developers. #GoogleAI #Gemini #NanoBanana #Lyria #Unity #GameCreation
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– video by @dataconomy
What does OpenAI’s AI agent security incident tell us? Here are three important takeaways. • AI autonomy changes the risk. An agent can interact with external systems instead of simply generating text. • Restrictions need to hold up in practice. A system designed to limit access can still have weaknesses in its surrounding tools and infrastructure. • Testing must go beyond performance. Developers need to test permissions, containment, monitoring, and unexpected behavior. The Hugging Face incident is a reminder that AI security is not just about the model. It is also about the environment in which the model operates. Building capable AI is one challenge. Deploying it safely is another. #OpenAI #AIAgents #Cybersecurity #AIResearch
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– video by @dataconomy
Meet London's mystery Batman, an anonymous man using a superhero identity to help ordinary people. His reported acts include: • Filling potholes himself • Giving out fans during hot weather • Checking on people in the Underground • Paying parking fines for some people who were in hospital • Bringing back £1 chicken and chips and 5p Freddos Beyond the unusual costume, his approach highlights a simple idea: local problems can sometimes be addressed through direct action. His identity may be hidden, but his work has a visible impact. Which of these actions matters most to you? #London #Batman #RealLifeHero #Community #HumanKindness
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– video by @dataconomy
Remote robotic surgery connects a surgeon's movements to a surgical robot in another location. Here is why this operation matters. Distance: A surgeon in London operated on a patient in Gibraltar, roughly 2,400 km away. Precision: The robotic system translated the surgeon's movements into actions at the patient's location. Speed: The reported delay was just 0.06 seconds. Safety planning: A medical team remained in the operating room, with a 5G backup connection available. Potential impact: Patients may eventually gain access to specialists without needing to travel as far. But remote surgery still depends on reliable communications, trained local teams, emergency protocols, and careful clinical oversight. The question is no longer just whether remote surgery can work. It is how safely and widely it can be used. #RemoteSurgery #RoboticSurgery #MedicalTechnology #HealthcareInnovation #FutureOfMedicine
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– video by @dataconomy
Apple HomeView is a $299 smart home display with more than basic home controls. Here is what stands out. • A 7-inch square aluminum display • Siri AI and Apple Intelligence • FaceTime calls and notifications • Smart home controls • Recipe checklists with ingredients and cooking steps • Multiple cooking timers on the display Apple has also introduced a new HomePod mini and Apple TV 4K alongside it, according to the announcement described in this video. The real selling point is convenience. HomeView brings everyday home tasks into one dedicated screen. Would you choose this over an iPad? #Apple #AppleHomeView #AppleIntelligence #SiriAI #SmartHome
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– video by @dataconomy
What makes GTA 5 running on an iPhone so interesting? Apple's Metal graphics engine handles the graphics directly on the device. Code translation: The project uses an approach that translates code ahead of execution rather than depending on JIT at runtime. Low reported memory use: Around 1.1GB of RAM. No cloud dependency: The game is not relying on a remote server to stream the gameplay. There is an important caveat. The project uses leaked GTA 5 source code, creating copyright risks. Still, it offers a fascinating look at what developers can attempt with modern mobile hardware. #GTA5 #iPhoneGaming #Appleupdates2026 #MobileGaming #GamingTechnology
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– video by @dataconomy
What makes the Tesla Roadster demo stand out? • Flight: Compressed-air thrusters were used to lift the car during the demonstration. • Acceleration: The claimed 0–60 mph time is under one second. • Design inspiration: The SR-71 and F-35 influenced its design direction. • Production target: Elon Musk has pointed to 2028. One important distinction remains. A public demonstration shows what was demonstrated. It does not, by itself, establish production readiness or confirm a delivery schedule. The next milestone matters just as much as the reveal. #TeslaRoadster #Tesla #AutomotiveTechnology #FutureOfMobility
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– video by @dataconomy
We spend time choosing smart devices for our homes. We compare features, sound quality, convenience, and price. But how often do we review the amount of personal information those devices can access? Amazon Alexa has several privacy controls worth understanding, from voice history and microphone access to permissions granted to third-party skills. The point is not to assume your device is spying on you. It is to know what information you are sharing and make deliberate choices about it. Because a smarter home should also give you more control over your own data. Save this as a reminder to review your Echo settings. #AmazonAlexa #SmartHomeTechnology #DataPrivacy #TechAwareness
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– video by @dataconomy
Apple’s AirPower project tried to make wireless charging work across an entire surface. The engineering challenge was positioning enough charging coils so a phone could charge wherever it was placed. AirDesk takes another approach. Here is the basic system: → A camera detects the phone → Software calculates its position → A motor moves the charging coil → The coil lines up underneath the phone → Charging begins The result is a desk that can provide wireless charging across a large surface without filling the entire desk with charging coils. The creator then added productivity features and a built-in Mac mini. It is a good example of how changing the mechanism can solve a problem that looked too expensive or complicated before. #Apple #AirPower #AirDesk #WirelessCharging #Tech
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– video by @dataconomy
Anguilla makes money every time people register a .ai domain. The domain was assigned to Anguilla in 1995. At the time, AI wasn't driving a global startup economy. Fast-forward to the ChatGPT era. .ai became a popular domain choice for AI companies, tools and startups. The result: → Domain revenue reportedly reached around $90M in 2025 → More than 2,000 .ai domains are reportedly registered each day → The revenue has become a major part of Anguilla's public finances → The territory is using the money for public spending and infrastructure No giant AI lab. No GPU factory. No massive data center. Just two letters that became valuable at exactly the right moment. #AI #ArtificialIntelligence #Anguilla #AIDomains #DomainNames
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– video by @dataconomy
Apple's M5 Ultra Mac Studio is aimed at users running demanding workloads locally. The headline numbers include: • M5 Ultra architecture • Ultrafusion interconnect technology • Up to 4.4 TB/s data transfer • Major gains in AI processing • Designed for demanding on-device workloads • $5,499 starting price The interesting shift is positioning. Apple isn't treating this simply as a high-end desktop. It's increasingly positioning desktop hardware as a local AI workstation. That matters as AI workloads become larger and businesses look for alternatives to constantly paying for cloud compute. #Apple #MacStudio #M5Ultra #AppleSilicon #AI
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– video by @dataconomy
Bilibili is expanding its international creator strategy. The platform already has: • 376 million monthly users • A strong audience in anime and gaming • Long-form video content • An international expansion strategy • AI dubbing initiatives There are also discussions around creator monetization, although some reported payout numbers are not officially confirmed and may depend on factors such as engagement. The biggest advantage YouTube still has is its mature ecosystem. Audience. Advertising. Monetization. Brand deals. Bilibili's opportunity is different: New audience + potentially less creator competition. #Bilibili #YouTube #CreatorEconomy #ContentCreator #YouTubeCreator
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– video by @dataconomy
Alibaba has launched Wan3.0, a new AI video generation model from its Tongyi Lab. The interesting part isn't just the quality of the generated video. Wan3.0 can reportedly take inputs such as: PDFs Slide decks Spreadsheets Web pages and generate a complete 30-second 1080p video from them. That could make AI video significantly more useful for businesses. AI video is moving from generating individual clips to transforming existing information into finished media. And that could have a much bigger impact on marketing, education, corporate communications and content creation than another text-to-video model. #Alibaba #Wan30 #AI #AIVideo #GenerativeAI
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– video by @dataconomy
GitHub has dominated software development for years. But the way software is being created is changing rapidly. Cursor has launched Origin, a new code-hosting platform designed around AI-assisted and agentic software development. And its launch came on the same day GitHub experienced a major outage, making the timing especially interesting. But the bigger story isn't the outage. It's the difference in design philosophy. GitHub was built in an era dominated by human developers. AI coding agents are creating a new workflow where software can be written, tested, modified and submitted with much less human intervention. That could eventually require new developer infrastructure. GitHub has the advantage of scale, trust, enterprise adoption and a huge ecosystem. Origin has the advantage of being designed from the beginning around AI-first development. So the real question isn't: Which platform is better today? It's: Who will build the infrastructure developers need when AI agents become a normal part of every software team? #GitHub #Origin #Cursor #AI #AICoding
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– video by @dataconomy
This isn't science fiction. For the first time, a drug born almost entirely inside a computer is heading to human trials. Alphabet’s AI took on the superbug crisis and delivered a potential new antibiotic in six months. This breakthrough doesn't just offer a new drug; it proves that AI can slash the time and cost of medical discovery, creating a new playbook for fighting humanity's deadliest diseases. The era of AI-driven medicine has officially begun. #AI #Medicine #Antibiotics
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– video by @dataconomy
The rapid advancement of artificial intelligence is creating an unprecedented demand for electricity. Training large-scale models like those behind popular AI tools consumes more power than some small countries, and conventional renewable sources like solar and wind are currently unable to scale fast enough to meet the need for constant, 24/7 energy. In response, the world's largest technology companies are making a significant and strategic pivot toward nuclear power. This isn't a theoretical shift; it's happening now! Meta has locked in a 20-year deal for nuclear-generated power, Amazon has acquired a nuclear-powered data center and is investing billions in small modular reactors, and Google is developing its own reactors. Microsoft is taking this a step further by funding a project to place new reactors at the site of the former Three Mile Island plant. This industry-wide move is backed by leading figures like Sam Altman, Bill Gates, and Jeff Bezos, who are funneling capital into nuclear startups. For Big Tech, the logic is clear: to fuel the future of AI, they need a nonstop, carbon-free energy source, and they have identified nuclear as the most viable option to meet that need.
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– video by @dataconomy
Where's the AI stock action? Sometimes, looking back helps spot the trends! Around March 2025, after a volatile market patch, some AI stocks showed incredible 12-month growth. Palantir (#PLTR) absolutely soared over 200% with its deep data AI software and Upstart (#UPST) jumped 100% with its innovative AI lending platform. What's the trend now? The spotlight seems to be shifting towards AI software companies delivering real, tangible business value. Remember, past performance is NO guarantee of future success, especially with high-risk AI stocks. This is for informational purposes only and is NOT financial advice. Always do your own deep research (DYOR) before making any investment decisions!
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– video by @dataconomy
AI is evolving FAST. Forget just chatbots! We're entering the era of Autonomous AI Agents that act, not just talk. We are breaking down the 5 stages of this revolution – from ChatGPT to AI-run companies – and why it's about to change EVERYTHING about work and startups.
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– video by @dataconomy
Tired of switching apps to chat with ChatGPT? Problem solved! ✅ You can now message OpenAI's ChatGPT directly inside WhatsApp using their official phone number. Save +1 (800) 242-8478, open WhatsApp, and start the conversation. Perfect for quick AI access on the go! Number also in the comments. Give it a try!
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– video by @dataconomy
LinkedIn Learning offers thousands of courses for those looking to grow in the age of artificial intelligence. Topics include leadership, project management, software, and AI tools. According to LinkedIn data, employees who dedicate just one hour a week to learning work more efficiently and enjoy their jobs more. The platform supports users with personalized course recommendations and built-in quizzes to track progress. From Excel tips to advanced AI training, it provides everything you need to take control of your development. An ideal choice for anyone ready to invest in themselves.
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– video by @dataconomy
From an early age, we’re often conditioned by our families, schools, and workplaces to conform—taking on extra tasks, agreeing with the group’s majority, and accommodating our bosses and colleagues. As a result, even when we’re encouraged to “think outside the box” or “embrace conflict,” we frequently hesitate. However, learning to say no more often can significantly boost both individual careers and overall organizational performance, according to Dr. Sunita Sah. A psychologist and professor at Cornell’s SC Johnson College of Business, she outlines a research-based approach to determining when to comply and when to push back, along with practical advice for doing so more effectively.
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– video by @dataconomy
CES 2025 is here, packed with future-defining innovations. Giant 75-inch displays, AI-powered smart home devices, ultra-fast OLED monitors, and software-driven cars take center stage. Nvidia RTX 50 GPUs and AR glasses are pushing tech boundaries. Don’t miss this year’s groundbreaking reveals.
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– video by @dataconomy
McKinsey's analysis of 1,700 teams highlights the key capabilities driving product team effectiveness: delivery predictability, value realization, and team engagement. Agile funding, strong product management, and automated processes consistently enhance outcomes. Streamlined tech stacks, dedicated teams, and clear roles boost collaboration, while automation reduces routine tasks, improving satisfaction. Effective leadership, aligned goals, and innovative practices empower teams to deliver value and foster innovation, creating a sustainable foundation for success.
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– video by @dataconomy
A Chief AI Officer isn't essential—AI’s impact is best managed by existing leaders who understand organizational needs. Instead of centralizing control, empower leaders to integrate AI strategically across departments. Forming an AI council ensures balanced governance and fosters innovation by addressing diverse needs collaboratively. Success lies in adapting current structures to incorporate AI seamlessly into daily operations. Lead the change with strategy and vision, rather than reacting to it.
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– video by @dataconomy
2025 is set to revolutionize big data, reshaping industries with smarter AI integration and synthetic data replacing costly real-world collection. Businesses will optimize workloads with efficient GPU orchestration, leverage open table formats for interoperability, and redefine governance with metadata catalogs. Cost-effective storage solutions will address rising data demands, while "data heroes" will bridge technical expertise and business insights. Embrace data mastery to lead the future.
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– video by @dataconomy
Legacy IT systems, powering 70% of Fortune 500 software, are becoming a hurdle as generative AI transforms the landscape. McKinsey highlights that GenAI can slash modernization costs by 40% and halve timelines. For example, a global insurer leveraged GenAI to streamline workflows, boosting efficiency by over 50%. By deploying specialized AI agents for tasks like code translation and compliance, they achieved faster, smarter upgrades. Scaling these tools is now the next frontier. Credit: McKinsey
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– video by @dataconomy
AI is reshaping decision-making, but it isn’t the full solution. Humans bring unmatched strengths like creativity, ethical reasoning, and strategic vision. While data focuses on the past, decisions often require counterfactual thinking—imagining what could happen, not just what has. Research shows human intuition drives 80% of critical decisions, particularly those requiring ethical judgment. Industries thrive when humans redefine customer needs and explore untapped markets. AI enhances precision, but the future belongs to collaboration: human judgment leads the way, framing objectives and ensuring values align.
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– video by @dataconomy
Strategic plans fail when they’re too vague or overly complex. To succeed, start with a clear long-term vision, supported by mid-term actions and short-term execution steps. Learn from past performance, identify internal strengths and gaps, and stay ahead of market changes. Focus on clear, achievable goals and measurable metrics. Keep your messaging simple and actionable, ensuring everyone understands their role and can deliver tangible results without getting bogged down by unnecessary details. Credit: Gartner
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– video by @dataconomy
The AI boom highlights the importance of high-quality data and effective management. NetApp's survey reveals organizations investing in data unification feel more prepared for AI, though 40% foresee heavy investments in 2025. Qlik identifies trust, skills gaps, and governance as major AI barriers, with 61% citing trust issues reducing investments. Ataccama emphasizes clean, trusted data as critical for AI success, especially in insurance and healthcare. Data quality underpins AI’s potential achievements. Credits: NetApp, Ataccama, Qlik #data #AI
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About @dataconomy
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