7.0K
SADataForge AI - Coming Soon
Powered by - @dataforge_ai_
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#dataforge_ai #artificialintelligence #aistartup #futureofai #dataforgeai dataforge
@santacruz_.0
#Datatech Ai
Assista vídeos de Reels sobre Datatech Ai de pessoas de todo o mundo.
Assista anonimamente sem fazer login.
Pesquisas Relacionadas
16Reels em Alta
(12)
551
CLDataForge AI — Coming Soon
@dataforge_ai_ #DataForge_AI #DataForgeAI #DataForge
Powered by @dataforge_official
#DataForgeAI #ArtificialIntelligence #AIStartup #FutureOfAI
@clips.007
5.0K
DI3 AI tools you need if you hate doing data analysis work!
Of course, this is AI so please exercise critical thinking with AI generated reports or analysis
#dataanalysis #aitools
@digitalsamaritan
8.6M
TRJust Don’t Worry About Any AI Detection Tools ❌🔥✅🤗
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#reels #reelsinstagram #instagood #facts #trendingreels #tricks #tips #computertricks #hacks #tech #techindia #technology #dailyhacks #bestwebsites #techtools #rajatraiofficial #shraj04fam #pchacks #websitehacks #trickblower #hixbypass
@trickblower
2.9M
OFComment “AI” and stay ahead in 2026 with these advance tools for your business. 🔥
Don’t use “ONLY ChatGPT”.. use these specific advanced AI tools instead
#aitools #aivideos #chatgpt #smallbusinesses aivide
@officialpwnkumar
41.2K
DAThe 8 AI tools every Data Analyst needs in 2026 (not ChatGPT)
➡️ To clean messy data fast, learn @claudeai Code
➡️ To build dashboards with no code, learn @try_julius.ai
➡️ To automate your entire workflow, learn @zapier
➡️ If you want your analysis into presentation instantly, learn @meetgamma
➡️ To organize projects + job hunt, learn @notionhq AI
➡️ To create Portfolio projects in hours, learn @repl.it Agent
➡️ To study smarter, not harder, learn NotebookLM
➡️ To build quick data apps/prototypes, learn @streamlit.io + Claude
AI doesn't replace data skills, it 10x's them if used properly.
Follow me for more information on data analytics and science.
[dataanalyst, datascience, ai, aitools, claude, juliusai, zapier, gamma, notionai, replit, notebooklm, streamlit, analytics, datacareer, tech2026]
#dataanalyst #datascience #ai #aitools #viral
@datawithsai
10.3K
TEYou are looking at an AI project built by a student… And the crazy part is most started with little to no tech experience.
This is what people are building after just 2 months at @10alytics_business
You don’t just learn theory you actually build. Step by step, with proper guidance, mentorship, and real projects you can add to your portfolio.
It’s perfect for professionals, career switchers, tech enthusiasts and every looking for global remote opportunities.
So if you’ve been thinking about getting into tech or AI, this is honestly one of the clearest ways to start.
Right now, there’s up to 60% discount for early birds.
If you’re interested, check the link in my bio
or drop a comment and I’ll send it to you.
#techtokwithdee #ai #aiautomation #tips
@techtokwithdee
532.9K
LIChatGPT won’t think for you.
But the right prompts will. (ep.1)
Comment 👉 ChatGPT 👈 and I’ll send you
the exact prompts I personally use to run real business analysis.
I’ll also show you how I prompt step-by-step
so you learn how to think with AI — not just copy/paste.
You’ll get:
• My real ChatGPT prompts
• My 8-question strategic framework
• How I broke down Netflix’s 2024 revenue
• A structure you can reuse for ANY company
If your prompts are strong, your insights will be too. 🎯
——
很多分析師直接把資料丟給 ChatGPT。
結果分析出來亂七八糟 😅（ep.1）
留言 👉 ChatGPT 👈 拿我的 AI 分析模板
我會示範 我怎麼下 prompt、怎麼一步步帶出洞察。
你會得到：
• 我實際用的 ChatGPT prompts
• 8 個策略性問題架構
• 我如何分析 Netflix 2024 財報
讓你的分析更有架構 🎯
@lillian__chiu
18.5K
GRHow Artificial Intelligence Will Transform Backend Development from API to AI Agents
The API are the Backbone of Backend Engineering,
From Designing endpoints, writing controllers, handling validations and more,
It is so complex and time taking,
But AI is quitely changing this all.
AI is transforming Backend development from traditional API driven architecture to agent driven systems,
Bringing new levels of adaptability, intelligence, automation especially for Java, Spring, NodeJs developers.
What is the API to Agent?
We are moving from strictly coded endpoints to intelligent agents,
Just we need is to give instruction in simple language, Agents handles the rest,
From planning the steps needed, use different apps and database,
Adjust action if anything changes with doing manually.
It does not replacing APIs but using them smartly.
The core Building Block of this Agent-Driven Backends are:
● LLMs : The brain for reasoning
● Tool/API integrations : For real world actions.
● Short and long-term memory for continuity.
● Autonomous decision making and collaborations with other agents across microservices.
How this will change Developer work :
Developer will move from manual endpoint to configuring and monitoring intelligent agent. Teams will move from checking logs to understanding agent decisions.
The focus will shift from writing every steps to explaining the goal.
The Conclusion and Key Takeaway are:
The API will still be the backbone but will be handled by Agents but way more smartly,
Backend will become faster, more automated and more adaptive,
Developers will move from low-level design to crative system design.
So, It is high time for us to learn AI Agents, think to adapt with present work and modern API strategies is now essential.
#ChatGPT #AIAgents #Agents #Perplexity #Cursor #Lovable #Gemini #Google #Meta ##AIRevolution #AIAgents #BackendDevelopers #FutureOfBackend #APItoAgent #AILife #TechCreators #CoderLife #JavaDeveloper #SpringBoot #NodejsDeveloper #AIEngineering #DevCommunity #TechInfluencer #SoftwareRevolution #NextGenTech #FutureOfWork #AutomationEra #TechTrends2025 #AIPoweredDevelopment #AIWillReplaceYouIfYouDontAdapt
@grow.with.gargee
144.7K
FAYang Repost bakal gw prioritasin buat kirim workflow nya
Gimana? AI udah gila men, hampir semua proses bisa di automasi
#n8n #aiautomation #withmifahmi
@fahmiiireza
310.1K
TEI stopped consuming and started building a few small systems end to end.
🧠 The first shift happened when I built a simple RAG app on my own documents. Suddenly, hallucinations weren’t an abstract problem anymore. I could see exactly why they happened, what embeddings actually do, and how retrieval changes the quality of answers. It was the first time LLMs stopped feeling magical and started feeling mechanical.
🤖 Then I built a social media AI agent with approvals in the loop. That’s when “agentic AI” clicked for me. Not as a buzzword, but as a workflow problem. When to wait, when to act, when to ask a human. Integrating AI with real systems taught me more than any prompt guide ever could.
📈 A stock market assistant broke another illusion. I learned very quickly that language models are not math engines. Numbers need computation, not vibes. Combining LLM reasoning with actual data pipelines made the limits painfully obvious — and that’s a good thing.
🧠 Adding memory to an assistant was quieter but deeper. Managing context, summarizing past interactions, deciding what to remember and what to forget. That’s when I understood why some tools feel personal and others feel shallow.
🧪 Finally, I built a data quality copilot. Upload data, let AI reason over SQL outputs, and generate a report. This one felt closest to real enterprise work. Multi-step reasoning, messy data, and outputs that actually need to be trusted.
The big realization was simple: learning AI isn’t about learning prompts. It’s about building workflows. When you build systems, you understand limits, architecture, and trade-offs. That’s the level companies actually care about.
💾 Save this if you’re tired of passive learning
💬 Comment “AI PROJECTS” if you want GitHub-ready structures
👣 Follow for more grounded takes on AI and data
@techwithprateek
111.4K
NIComment “STACK” if you want my complete guide on how to start using AI in 2026 and I’ll send it to you 📩
If you’re not using these AI tools in your business, you’re wasting hours on tasks that could be automated in minutes.
Here’s the best AI tech stack for 2026: Claude for reasoning and writing, Cursor or Antigravity for turning plain English into working code, Claude CoWork and Claude Code for autonomous task execution, v0 for building beautiful websites, and n8n for no-code automation.
These are the AI tools for business that will save you time, cut costs, and help you scale without hiring a full development team.
Learn how to use AI in 2026, what the best AI tools are, and how to build an AI tech stack that actually works for your business.
#AItools #AI2026 #businessautomation #nocode #AIforBusiness
@nicholas.puru
✨ Guia de Descoberta #Datatech Ai
O Instagram hospeda thousands of postagens sob #Datatech Ai, criando um dos ecossistemas visuais mais vibrantes da plataforma.
Descubra o conteúdo mais recente de #Datatech Ai sem fazer login. Os reels mais impressionantes sob esta tag, especialmente de @trickblower, @officialpwnkumar and @lillian__chiu, estão ganhando atenção massiva.
O que está em alta em #Datatech Ai? Os vídeos Reels mais assistidos e o conteúdo viral estão destacados acima.
Categorias Populares
📹 Tendências de Vídeo: Descubra os últimos Reels e vídeos virais
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🌟 Criadores em Destaque: @trickblower, @officialpwnkumar, @lillian__chiu e outros lideram a comunidade
Perguntas Frequentes Sobre #Datatech Ai
Com o Pictame, você pode navegar por todos os reels e vídeos de #Datatech Ai sem fazer login no Instagram. Nenhuma conta é necessária e sua atividade permanece privada.
Análise de Desempenho
Análise de 12 reels
💡 Posts top têm média de 3.1M visualizações (2.9x acima da média)
Publique regularmente 3-5x/semana em horários ativos
Dicas de Criação de Conteúdo e Estratégia
🔥 #Datatech Ai mostra alto potencial de engajamento - publique estrategicamente nos horários de pico
✍️ Legendas detalhadas com história funcionam bem - comprimento médio 692 caracteres
📹 Vídeos verticais de alta qualidade (9:16) funcionam melhor para #Datatech Ai - use boa iluminação e áudio claro
✨ Muitos criadores verificados estão ativos (67%) - estude o estilo de conteúdo deles
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