Is Data Engineering Dead in 2026? 💀 Before you... quit, read this. Let’s be real: If your job is just boilerplate SQL and moving data from A to B, AI is coming for you. 🤖 But for the rest of us? The game hasn't ended; it just got a massive DLC. 🎮 In 2026, we aren't just "pipeline builders" anymore. We are AI Architects - designing the systems AI depends on.. 🏗️ The Brutal Reality: * The Junior Squeeze is real: Companies don't want to pay for "learning on the job" when an LLM can write a dbt model in 3 seconds. The "entry-level" bar has moved. You need to know system design and AI orchestration on Day 1. This isn’t cruelty - it’s economics.📉 * The Senior Surge: While basic coding is automated, the complexity of data has exploded. AI creates data chaos. Companies are desperate for Seniors who can manage governance, cost-optimization, and the infrastructure that feeds these models. 🚀 How we work now: AI isn’t the replacement - it’s the intern. I let AI handle the boring, repetitive stuff: boilerplate SQL, and documentation. That frees me up to focus on what actually matters: ✅ Teaching AI the business context So models understand what the data means, not just what it says. ✅ Data reliability Because bad data = confident AI hallucinations. ✅ Real-time systems So decisions are based on what’s happening now, not yesterday. Data is the fuel for AI. You don’t fire the person who builds the refinery just because the car can drive itself. Stay curious. Master the architecture. Let the machines handle the syntax while you handle the strategy. What do you think? Is the Junior market too saturated, or are we just shifting the goalposts? 👇 #tech #ai #coding #dataanalysis #dataengineershow more
thekruk
265,700 次观看 • 10 个月前
The internet is evolving - are you ready? 🌐⚡... At SUI DePIN, your data isn’t just collected - it’s owned by you. Monetize it. Secure it. Power the next generation of AI on the Sui! ✅ Own your data ✅ Earn real rewards ✅ Fuel AI innovation No middlemen. No limits. Just you and your data. Step into the future today 👉show more

Sui DePIN
30,317 次观看 • 1 年前
AI needs data to grow. But accessing high-quality datasets... is becoming harder than ever. · Data collection is increasingly centralized in the hands of a few large players. · Platforms are locking content behind expensive APIs and private data deals. · Specialized datasets (medical, legal, code) can cost 20–40× more than general web data. · And while 94% of companies are exploring Gen-AI, only 12% have reliable data channels. The result? A growing data bottleneck for AI development. The future of AI won’t just depend on better models. It will depend on who can access and activate quality data.show more

Perceptron Network
77,319 次观看 • 7 个月前
🚀 My New Book is Here: Data Strategy (3rd... Edition) 🚀 I’m thrilled to share the release of my latest bestselling book, Data Strategy: How to Use Data and Artificial Intelligence to Transform Your Business. Every business today needs data to survive - but simply having data is not enough. What matters is how you use it. A well-designed data strategy is the key to unlocking value, driving insights, and giving your organisation the competitive edge it needs to thrive in the digital economy. From small organisations to global enterprises, I’ve seen first-hand how a data-driven approach can transform operations, improve decision-making, and unlock entirely new opportunities. That’s why I’ve poured my experience into this book — to help leaders and teams build strategies that don’t just talk about data, but actually deliver measurable impact. 🔍 In this third edition, I’ve expanded the book to reflect the latest developments in data and AI, including: ✅ Generative AI and its role in shaping business innovation. ✅ Synthetic data and how it can accelerate AI adoption. ✅ The potential of quantum computing and what it means for the future of data. ✅ Expanded guidance on cybersecurity, regulations, and ethics in a data-driven world. This isn’t just a theoretical framework - it’s a practical guide to collecting, managing, and using data effectively in order to drive growth, innovation, and long-term success. Whether you’re leading a start-up or a multinational, Data Strategy will equip you with the tools you need to stay ahead in a rapidly evolving landscape. 📖 Pre-order your copy today: 👉 Amazon - 👉 Kogan Page - I can’t wait to hear how this book helps you craft your own data-driven strategy and transform your business for the future.show more

Bernard Marr
10,980 次观看 • 1 年前
Get Ready, OptimAI Lite Node Drops Soon! The revolution... of AI Agents is YOURS to power. Mine data, fuel AI, and stack rewards—100% decentralized. What’s in it for YOU? 🔸Scrape killer #AI training data from the web Validate models with smarts + AI precision 🔸Run next-gen AI #DePIN tasks from your device 🔸Be the heartbeat of the AI future. Launch is this close—don’t sleep on it! Dive in:show more

OptimAI Network
39,982 次观看 • 1 年前
Presenting the world’s first autonomous, on-demand data network for... specialized AI models. Turf DevNet is live on the Avalanche🔺 network🔺 Builders can now use contextual Data Feeds to train smarter AI 🧵show more

TURF
15,139 次观看 • 1 年前
Across the data center and the cloud, WhiteFiber is... deploying infrastructure that powers the AI revolution today and into the future. We are the architects, the builders, and the operators. And we are just getting started. $WYFIshow more

WhiteFiber_ NASDAQ: WYFI
48,349 次观看 • 4 个月前
there is so much real data just sitting in... the open right now it's almost funny. four years of starlight on every star, a NASA archive that's been free for over a decade, detectors still recording the sky tonight, and barely anyone has a net pointed at any of it. so i pointed one. this is me pulling the planet data, the data loading is the boring part. the net i built to read it, the wall it hit, and what that taught me about where AI goes next, that's the full story, and it drops tonight. the data's public, the tools are free, the box fits on a desk. what's stopping you. you can just do things anon.show more

Sudo su
60,445 次观看 • 5 个月前
Here is how you can create animated data visualization... charts with AI without needing any editing experience. You just upload your data file and the AI builds the entire animation for you including bar charts and complex leaderboards. This is perfect for showing sales growth or survey results in a way that people actually want to watch. It takes about two minutes from start to finish 🤯. [animated data visualization tutorial, how to animate graphs with ai, data storytelling tiktok] #easymotion #datavisualization #motiongraphics #aitools #contentcreationshow more
Sophia Reynolds
11,000 次观看 • 6 个月前
📢 NEW AI ADOPTION ALERT 📢 We’re excited to... welcome Ringfence Protocol to the Vanar ecosystem! 🚀 Ringfence is a fully agentic protocol redefining how data powers the AI economy. Leveraging Data Agents, Ringfence creates a decentralized infrastructure that ensures fairer data ownership, monetization and accessibility for the next generation of AI systems. Welcome to the future of decentralized data ownership! 🌌show more

Vanar
33,159 次观看 • 1 年前
AI runs on data. Your data. Tech giants scrape... the internet, collect user interactions, and buy datasets to train their models. Now, platforms are charging companies to access the data you created. It doesn't have to be this way. Join the data revolution. Own your data, own your impact.show more

vana
37,899 次观看 • 1 年前
OpenAI's Deep Research is getting a run for its... money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!show more

Santiago
171,340 次观看 • 1 年前
AI runs on data. but most of it is... stale, outdated, static. what if intelligence was powered by living signals from real human activity? introducing: 𝐳𝐃𝐚𝐭𝐚 - the Data Layer Powering Zentry and The AI Data Economy ⇢show more

Zentry
15,742 次观看 • 1 年前
Imagine this: Data is the lifeblood of AI. No... matter how advanced, AI is only as good as the data it learns from. The catch? Most AI runs on outdated, biased, or limited data—like trying to win a marathon in flip-flops. 💡The problem isn’t AI itself—it’s how data is collected, processed & controlled by a few big players. OptimAI Network flips the script! 🔹No centralized silos 🔹No intrusive scraping 🔹A decentralized ecosystem where you power AI’s future Read more:show more

OptimAI Network
92,459 次观看 • 1 年前
Take your time to explore Sentient GRID, the largest... open-source intelligence network and the backbone that makes open AI actually scale. The GRID is real infrastructure, designed to make open-source AI viable for the long run. Here’s what sets it apart from others: ➩ Anyone can build and launch AI tools. ➩ Everything is transparent—you can see how it works. ➩ Shared resources speed up innovation. You can try it yourself: ➩ Sentient Chat → ➩ The GRID → Right now, most AI is locked behind big corporations. They own the models, the data, and the power. Sentient changes that by building a system where AI belongs to everyone: builders, users, and communities. Whether you’re here to build, invest, or just use AI tools, Sentient gives you the chance to be part of the upside of this shift. gSent!show more

Sir Khaycee
10,267 次观看 • 1 年前
What if the next big leap in AI comes... from data that’s never been on the internet? Most AI models learn from publicly available information, but companies hold enormous amounts of valuable private data. DataVendor is changing that with a marketplace where companies can sell access to their data to AI labs, helping train smarter AI. With 4,000+ vendors and 50K+ assets already listed, this could be huge.show more

Science girl
27,169 次观看 • 22 天前
The UK government was just defeated for the 3rd... time by the House of Lords, who have demanded again that AI companies disclose their training data. The government seems desperate to appease big tech, but the Lords are consistently saying they must instead defend creators. This is the biggest defeat for the government yet. Baroness Kidron perfectly makes the case for why training data transparency is necessary: "Because what you can't see you can't enforce."show more

Ed Newton-Rex
35,682 次观看 • 1 年前
At Open AGI, our CEO Ahmed Rashad shared why... trust is the new compute. AI is moving from generating content to making life-or-death decisions — medical diagnoses, autonomous vehicles, military systems. If the training data is wrong, the decisions are wrong. Meanwhile, models are increasingly trained on synthetic outputs, creating feedback loops that degrade quality. Data supply chains are opaque. Adversarial attacks are real. The next AI race won’t be won by bigger models. It will be won by those who control and verify the data layer. Perle Labs is building the sovereign, human-verified, on-chain auditable infrastructure high-stakes AI requires. Trust wins the AI race. Thank you Sentient for having us! No better way to end off our time at ETHDenver 🏔🦬🦄. Until next time 🫡show more

Perle Labs
29,878 次观看 • 8 个月前
Introducing Snowflake Workspaces — the unified environment where developers... build, test, and collaborate on data and AI projects. Code in SQL, Python, or @Streamlit — all inside the Snowflake AI Data Cloud. Fast. Secure. Built for the way you work.show more

Snowflake
473,193 次观看 • 1 年前