Author of Amazon best seller ‘Driving Digital Transformation’ . TEDx speaker. B. TECH from IIT BHU in 1995. Watch video at https://teapawt.net/t.co/KbtoL03Hg0
Bengaluru South, India
Joined September 2018
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Learn about various technologies in simple way.
Hear more about this at my YouTube channel
youtube.com/watch?v=pO9ieced…
raktimsingh.com
#ArtificialIntelligence #MachineLearning #data #technology
Most organizations think AI is an intelligence problem.
It is increasingly becoming a representation problem.
AI systems fail when reality is fragmented, stale, disconnected, and poorly represented.
#AI #EnterpriseAI #AIGovernance #RepresentationEconomy
The most important AI battle may not be model vs model.
It may be:
Who gets to represent reality for machines?
Because once a system controls the representation layer, it shapes:
decisions,
visibility,
trust,
automation, institutional action
#EnterpriseAI
#representationeconomy
Everyone says AI will transform the economy.
I think AI will transform something deeper:
Representation itself.
The next generation of powerful companies may not just control computation or models, they will control representation.
#AI #EnterpriseAI #ArtificialIntelligence
My gmail account has been compromised.
If you receive any emails, or requests from this address, please do not respond or click on any links.
Please treat any communication from that account as unauthorized.
If something urgent comes up, please reach out to me directly.
Enterprise AI doesn’t fail because models are weak.
It fails because intelligence wasn’t designed to scale responsibly.
That’s why AI is becoming a fabric & why Services-as-Software is inevitable.
Read👇
tinyurl.com/2nb22m7k
#AIArchitecture #AgenticAI #aifabric #enterpriseai
🚀 What is Inference-Time Scaling?
The next big #AI scaling law after #Kaplan & #Chinchilla might not be about training bigger models… but about reasoning longer at inference.
🧵 Let’s break it down:
💡 Why it matters:
You don’t always need a bigger model.
Sometimes you need a model that thinks longer, smarter, deeper.
#ArtificialIntelligence #ML
I wrote a detailed piece on this →
👉 “What Is Inference-Time Scaling? The Next AI Scaling Law After Kaplan and Chinchilla”
Read here: tinyurl.com/5n8hh9dx
🔄 RT if you believe reasoning > raw size is the future of AI.
#AI #ScalingLaws #AIFuture
🤖 Most people think AI hallucinations are random glitches.
They’re not.
They follow predictable chains of cause → effect.
This is where DAG Thinking (Directed Acyclic Graphs) comes in.
🧵 A short thread 👇
A DAG is just a map of causes and effects.
➡️ “Prompt ambiguity → partial recall → pattern filling → hallucination.”
No loops, just forward-moving chains.
This makes it a powerful lens to see how AI adoption & errors really happen.
AI adoption is never just one cause.
Hallucinations aren’t random—they’re systematic.
I unpacked the full story in my latest article:
👉 tinyurl.com/3tb4z3tn
#AI #MachineLearning #DAG #CausalAI #ArtificialIntelligence
💡 Example: A bank launches a chatbot.
Satisfaction rises. Leaders say: “The chatbot worked.”
But DAG thinking shows:
Launch → media buzz → employee motivation → better service.
It wasn’t just the chatbot—it was the chain.
🚀 Portfolio Optimization is entering the Quantum Era
From Markowitz’s MPT ➝ Monte Carlo ➝ Machine Learning… and now Quantum Machine Learning ( QML)
QML = faster, smarter, dynamic portfolios.
#QuantumComputing #Finance #AI #machinelearning #quantum medium.com/@raktims2210/quan…
Tired of frozen neural nets?
Meet Liquid Neural Networks —
🧠 Evolve after deployment
📈 Learn with fewer parameters
⚙️ Designed for edge, robotics, and fintech
MIT's new AI architecture decoded👇
tinyurl.com/4ytcfxn9
#genai #liquidneuralnetwork #adaptableai #ai #tech
Honoured to speak at PW (Physics Wallah) Institute of Innovation on
“Decode the Future: SMART SKILLS Every Student Must Learn.”
A truly engaging session with curious students & thoughtful faculty!
#SMARTSkills #FutureReady #AIandEducation #StudentSuccess #Genai #aiforall
🧩 Neurosymbolic AI: The missing link between language and logic.
It blends deep learning’s pattern power with symbolic AI’s reasoning skills.
The result? More explainable, trustworthy, and human-like AI.
🔗 Full post here:
👉 linkedin.com/posts/raktimsin…
#AI #NeurosymbolicAI
