📊 Your dashboards say one thing.
Your instincts say another.
So which one do you trust?
This is what Mahdi Karabiben, Co-Head of Product at Sifflet, calls data anxiety—the uncertainty teams feel when they aren't fully confident in the quality and reliability of their data.
Mahdi explains why trust is the foundation of every successful data and AI initiative. Because even the most advanced analytics, dashboards, and AI systems become useless when people don't trust the information behind them.
The future isn't just about having more data.
It's about having data you can trust.
☑️ Explore the upcoming events of the Disrupt AI Summit Series
👉 https://bit.ly/disrupt-ai-summit-series
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Product-Led Growth Hub
The leading career acceleration platform for Product-Led driven software Product Managers & Engineers
🚀 AI agents are becoming more powerful—but what happens when they need to communicate beyond their own environment?
In this insightful session, Richmond Alake, Developer Advocate at MongoDB, explains how agent-to-agent communication can extend from local systems to cloud-scale architectures. From CRAUD to distributed AI ecosystems, the conversation explores the challenges and opportunities of building connected, collaborative AI agents that can share context, knowledge, and actions across different environments.
As AI systems evolve, interoperability and communication will become just as important as intelligence itself.
☑️ Explore the upcoming events of the Disrupt AI Summit Series
👉 https://bit.ly/disrupt-ai-summit-series
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👉 https://bit.ly/youtube_productledgrowthhub
The Ultimate AI Trade-Off: Productivity vs. Complexity
🚀 AI is making developers faster than ever before.
But there's a catch.
As AI accelerates software development, it also increases complexity, making governance, oversight, and quality control more challenging than ever.
Christos Galanopoulos, DevOps Engineer at Performance Technologies, explores the hidden trade-off between productivity and complexity—and why organizations need to rethink how they manage software development in the age of AI.
Moving faster is easy.
Maintaining quality, security, and control at scale is the real challenge.
☑️ Explore the upcoming events of the Disrupt AI Summit Series
👉 https://bit.ly/disrupt-ai-summit-series
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🎯 What makes people trust an AI product?
It's not always better technology.
Sometimes, it's better storytelling.
Jacob George, Director of Product at Founders Factory, shares a fascinating example of how seemingly small details—like a voice, tone, or accent—can dramatically influence how users perceive and trust AI systems.
The lesson? Building successful AI products isn't just about intelligence. It's about understanding human psychology and designing experiences people genuinely trust.
☑️ Explore the upcoming events of the Disrupt AI Summit Series
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🧠 How do AI agents actually remember?
Memory is one of the most critical components in building intelligent AI systems. Without it, agents lose context, forget past interactions, and struggle to make meaningful decisions.
At the Disrupt AI Summit, Richmond Alake, Developer Advocate at MongoDB, explores how memory can be modeled in AI applications, why it matters for agentic systems, and how developers can build more context-aware and reliable AI experiences.
If you're working with GenAI, AI Agents, or modern AI architectures, Richmond Alake share how memory works.
☑️ Explore the upcoming events of the Disrupt AI Summit Series
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13/05/2026
Proud to announce Humanbound as a sponsor for Gen AI Unfold Summit. Humanbound enables enterprises to securely deploy AI agents through continuous testing, adversarial evaluation, and governance for LLM-based systems.
By combining adaptive red teaming, runtime protection, and AI security posture scoring, it helps organizations ensure safety, compliance, and reliability in production AI environments.
In their session, Break First. Fix Fast. Ship Safe. Repeat., we’ll explore why traditional security approaches no longer scale in the agentic era and how continuous adversarial testing inside the development cycle is becoming the new security standard:
⚔️ Build your own adversary to stress-test AI agents before release
🧪 Run controlled attacks to surface real-world failure modes early
🔁 Convert every failure into runtime defense rules
🛡️ Continuously harden agents before production, not after deployment
As AI systems move into weekly (or daily) release cycles, security must shift from static checkpoints to continuous, embedded resilience engineering.
🎤 Featuring:
Demetris Gerogiannis, Co-Founder & Co-CEO Tech & Product, Humanbound
Learn More 👉 https://productledhub.com/gen-ai-unfold-summit/
13/05/2026
Proud to announce GWI as gold sponsor for the upcoming Gen AI Unfold Summit.
GWI is pioneering the next evolution of AI through humanized, real-world data sourced directly from global audiences. With over a decade of powering leading business decisions, it is now using this human data foundation to help shape more accurate, contextual, and human-aware AI systems.
In their session, Faster, Deeper, Smarter: Agents Reshaping Market Research, we’ll dive into how the integration of traditional machine learning with next-generation AI agents is transforming core research capabilities:
⚡ Faster insight generation across massive data sets
🎯 More advanced and dynamic audience segmentation
📊 Real-time quota optimization with higher precision
🧠 More reliable, scalable, and automated research workflows
As organizations move toward AI-native decision-making, these advancements are not just improving efficiency — they are redefining how insights are generated, validated, and operationalized at scale.
🎤 Featuring:
Eftychia Kolasi Machine Learning Engineer, GWI
Learn More 👉https://productledhub.com/gen-ai-unfold-summit/
13/05/2026
The 2nd day of Summit is about what happens when AI meets reality: integration, reliability, scale, and the hard engineering behind making systems actually work in production.
On stage:
• Yiannis Panselinas — AI & Data Engineering Lead, Natech Banking Solutions — on why your platform isn’t the bottleneck, your perspective is, and how AI can transform legacy systems into faster, more intelligent codebases without rebuilding from scratch
• Christos Livadiotis — Enterprise Architect for Cloud & AI, Coca-Cola Hellenic — on moving from AI pilots to enterprise agentic platforms with governance, integration, and scale
• Roman Sakharov — Product Management Transformation Lead, EPAM Systems — on AI-enabled product management and transforming teams through GenAI across the full product lifecycle
• Alejandro Duarte — Developer Advocate, MariaDB plc — on RAG in production, its failure modes, and how to build reliable retrieval-augmented systems at scale
• George Tsiramua— AI Workforce Intelligence Lead, Toyota Caucasus / Opticrew.ai — on designing resilient teams in the age of talent scarcity using AI-driven workforce intelligence
• Menelaos Petousis — CTO, Dikaio.ai — on building legal AI products that survive real-world usage in regulated, high-trust environments
• Christos Melissourgos — CTO, Voice Logica — on the anatomy of a production-ready voice AI agent and why most systems break beyond the demo stage
• Ioannis Papadakis — AI Prompt Engineering Lead, Snappi — on mastering prompt crafting as a practical skill for building effective AI interactions
Alongside the conference, participants will join the Gen AI Development Bootcamp — an immersive, hands-on technical experience designed for engineers who want to dive deep into the AI era - delivered by Vassilis Karabalis and Alexandros Fotiou.
Learn more 👉 https://productledhub.com/gen-ai-unfold-summit/
The Endless “AI Checking AI” Loop ♾️⚠️
At first, it sounds like a smart fix: “If AI makes mistakes, just add another AI to check it.”
But then… who checks that AI? And before you know it,
you’ve created an endless loop— AI checking AI, with no clear accountability.
The alternative? Add more people to review everything.
But that quickly kills the speed and scalability AI promised in the first place.
This is where most teams get stuck.
Instead of stacking layers of checks, you need to rethink the system itself.
Christos Galanopoulos, DevOps Engineer at Performance Technologies,
explains why traditional governance models can’t keep up anymore—
and how embedding governance directly into your workflows.
Craving more AI product driven insights?
☑️ Join 900+ AI & product leaders at Gen AI Unfold Summit
🗓 May 14–15
📍 OTEAcademy, Athens, Greece
👉 https://bit.ly/gen-ai-unfold-summit
☑️ Explore the upcoming events of the Disrupt AI Summit Series
👉 https://bit.ly/disrupt-ai-summit-series
☑️ Subscribe to our YouTube channel for real-time AI updates
👉 https://bit.ly/youtube_productledgrowthhub
Your AI isn’t broken… your evaluation is ⚠️
When you’re running multi-agent systems, the real challenge isn’t just building them—
it’s making the right decision at every step.
Which agent should handle the query? Is the response actually correct?
Should the pipeline continue… or stop?
That’s where RAGAS comes in.
Instead of blindly trusting outputs, RAGAS lets you evaluate each step before every decision, bringing structure and confidence to complex AI workflows.
Konstantinos Sidiropoulos, Software Engineer & Test and Infrastructure Capability Lead
breaks down how to bring control into multi-agent pipelines.
Because in AI systems, what you don’t evaluate… will eventually fail.
Craving more AI product driven insights?
☑️ Join 900+ AI & product leaders at Gen AI Unfold Summit
🗓 May 14–15
📍 OTEAcademy, Athens, Greece
👉 https://bit.ly/gen-ai-unfold-summit
☑️ Explore the upcoming events of the Disrupt AI Summit Series
👉 https://bit.ly/disrupt-ai-summit-series
☑️ Subscribe to our YouTube channel for real-time AI updates
👉 https://bit.ly/youtube_productledgrowthhub
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