https://t.co/TgELDOfp0O integrates Revolut Pay – millions can now pay in 1 click, earn extra RevPoints, and get 10X points until 3 Jan. Biggest travel partnership for Revolut Pay yet
https://t.co/8AUWIokih0
We’re thrilled to welcome @MultimodalAI to the NayaOne Marketplace.
Multimodal’s AgentFlow platform now runs inside NayaOne’s platform - enabling multi-agent AI workflows to be evaluated and scaled.
🔗 Read the full announcement → https://t.co/1a7y0H1P0j
#AI#AgenticAI
We're just a few days away from #NVIDIAGTC Washington, D.C. ⌛
Check out our rolling blog for live coverage on NVIDIA CEO Jensen Huang’s keynote, breakout highlights, live demos and on‑the‑ground updates Oct. 27-29.
Get all the details ➡️ https://t.co/I2LTwVEakb
This Diwali, we celebrate light in all its forms - clarity in complexity, renewal after reflection, and the connections that turn bright ideas into real progress.
Wishing you and your loved ones a season filled with light, energy, and new beginnings. ✨
#Diwali#happydiwali
Big milestone for @InsTech_ie!
They’ve launched the Digital Sandbox - supported by @Naya_One – giving insurers & insurtechs a secure space to test new tech, use synthetic data & collaborate on industry challenges.
https://t.co/GNBKqeotet
#DigitalSandbox#InsuranceInnovation
I got permission to publish a new AI Evals FAQ (Sep, 2025).
It’s massive. And it's a goldmine for engineers and AI PMs.
@HamelHusain and @sh_reya run the world’s No. 1 AI Evals course.
Together with top AI architects and ML researchers, they answer the most common questions from 1,500+ students.
51 pages of unique insights and resources.
And 100% free.
Some of the questions:
Q: What are LLM Evals?
Q: What’s a minimum viable evaluation setup?
Q: Why is "error analysis" so important in LLM evals, and how is it performed?
Q: What is the best approach for generating synthetic data?
Q: Are there scenarios where synthetic data may not be reliable?
Q: Why do you recommend binary (pass/fail) evaluations?
Q: Should I use "ready-to-use" evaluation metrics?
Q: How many people should annotate my LLM outputs?
Q: Should PMs and engineers collaborate on error analysis? How?
Q: What parts of evals can be automated with LLMs?
Q: Should I stop writing prompts manually in favor of automated tools?
Q: What makes a good custom interface for reviewing LLM outputs?
Q: What gaps in eval tooling should I be prepared to fill myself?
Q: How should I version and manage prompts?
Q: How are evaluations used differently in CI/CD vs. monitoring production?
Q: What’s the difference between guardrails & evaluators?
Q: Is RAG dead?
Q: How should I approach evaluating my RAG system?
Q: How do I evaluate sessions with human handoffs?
Q: How do I evaluate complex multi-step workflows?
Q: How do I evaluate agentic workflows?
Get a full PDF (Google Drive, 51 pages): https://t.co/4azaPGfIxr
Hope that helps!
Feel free to share it with your network.
—
P.S. The guys shared a crazy amount of knowledge for free. But if you want to dive even deeper, here's a 35% discount for the AI Evals Cohort: https://t.co/MtnOgX99i9
(The next cohort: Oct 6—Nov 1, 2025)
Lights. Lasers. Action.
Some 📸 from the opening ceremony. Welcome to the first ever Money2020 Middle East - we are sure that you'll love it.
#Money2020MiddleEast
🚨 Foreign Stablecoin Issuers & the GENIUS Act 🚨
The GENIUS Act doesn’t just regulate U.S. projects — it sets the terms for foreign stablecoin issuers entering the American market.
#stablecoin#geniusact#blockchain#finance#law
How do banks balance AI innovation with control? Join NayaOne & American Banker on Sept 11 to explore:
✅ Responsible AI frameworks
🤖 Agentic AI in banking
⚖️ Compliance & scaling lessons
📅 Request to join: https://t.co/mM7VQT2oLN
#AIinBanking
https://t.co/mM7VQT2oLN
👀 .@Wise eyes UK banking licence following its decision to ditch its primary listing in London earlier this year. 🔗https://t.co/c1J2bwVT9E
#UK#Fintech#IPO
@efipm Important signals here. When a bank’s AI group has more lawyers than engineers, you know compliance isn’t a side note. Agentic AI will only move past PoCs if governance, security, and risk controls are baked in from day one. Otherwise the tech never leaves the lab.
@nasscom We’re seeing the same pressure from enterprises - data lineage and governance can’t be left manual anymore. The real challenge is knowing which AI-powered solutions deliver at enterprise scale. That’s where sandbox validation/structured PoCs make the difference.
@architjn Spot on. Too often people see guardrails as red tape, but the truth is they’re what give teams the confidence to ship. Build in security, reliability, and trust early, and AI stops being scary - it starts being useful.
@AdluminCEO Great points! The good news is, even with regs tightening, there’s a clear path forward. We’re seeing orgs lean into transparent controls, clear roles, and data provenance - and that’s what’s helping them move with confidence.
🌍 🔍 Weekly Fintech & Digital Banking Insights. At @Naya_One, we keep a close eye on how enterprises and vendors are teaming up to accelerate innovation. Here are the standout moves this week:
1/7 🧵