We’ll be at the 2025 Annual CDOIQ Program Symposium next week in Boston! Visit Booth #32 to see how Nexla helps organizations streamline data integration, automation, and AI-powered workflows. Our CEO, Saket Saurabh, will be speaking on Day 2 (July 18) during Session 14, Track

🚗 GPS changed our sense of direction, and AI/GenAI may be changing our ability to think. “We used to retrace our steps. Now we just follow instructions. The same thing is happening with our thinking.” We talk about AI accelerating work. But what if it’s also eroding critical

Our swags (yes, including squishmallows) have officially arrived in Boston, just in time for the 2025 CDOIQ Symposium! Tomorrow, they find their forever homes. We’re gearing up for a great few days of conversations about the future of data, automation, and AI. If

The Nexla team is live at CDOIQ Program 2025 and loving every minute of it! Great conversations, packed sessions, and plenty of demos at Booth #32. We're here through the end of the symposium, so come say hi and let’s talk data, AI, and how to make it all work better together!

What separates AI projects that thrive from the ones that stall out? At CDOIQ Symposium, that question came up again and again. In the speaker session with Mike Nadeau, CIO of Oaktree Capital, our CEO Saket Saurabh explored how forward-thinking #DataEngineering teams

While the spotlight’s on copilots & agents, smart data teams are using this moment to do the unsexy but critical work: kill flaky pipelines, clean up documentation, fix observability gaps and retire tech debt. As Joe Reis put it at the 2025 Data + AI Integration Summit: “Now is

TECHZINE GLOBAL Nexla CTO: How to put MCP into a data product  techzine.eu/blogs/data-man… via Techzine Nexla Inc

Our CEO & Co-founder Saket Saurabh just had his article featured in TechRadar Pro, and it hits a nerve: “Data variety is the silent killer of AI.” Enterprises don’t fail at AI because of compute or model complexity. They fail because their data is messy, inconsistent, and

MCP isn’t just another protocol. It’s a whole new paradigm. In this Techzine feature, Nexla CTO Amey Desai shares why integrating the Model Context Protocol takes more than a spec. It takes rethinking your architecture. --> Why Nexsets (Nexla’s data products) are a natural fit

From raw data to analytics-ready gold in 48 hours? Yes, really. #MedallionArchitecture doesn’t have to take months. With the right approach, you can go from raw to gold in just 2 days. In our latest article, we break down how to build a modern Medallion Architecture using

Can AI fix AI? During her session at our Data+AI Integration Summit, Qingyun Wu, Founder at AG2 shares a growing trend: using stronger models to guide weaker ones, and reduce hallucinations through fine-tuning, tool use, and synthetic data. It’s not a silver bullet. But it’s a

“Show me a comfortable sofa for a small apartment where I can have two cats in a mid-century modern style.” That’s not just a product search, 𝗶𝘁’𝘀 𝗮 𝗱𝗮𝘁𝗮 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗹𝗶𝗸𝗲 𝗪𝗮𝘆𝗳𝗮𝗶𝗿 𝗶𝘀 𝗽𝗿𝗲𝗽𝗮𝗿𝗶𝗻𝗴 𝗳𝗼𝗿. In our fireside chat

Many are trying to get multiple agents to work together, collaborating with humans, solving complex, real-world problems. But that leap introduces tough questions: -> What happens when agents loop endlessly? -> How do you evaluate workflows you can’t benchmark? -> What

Sol Rashidi, MBA, best-selling author, first Chief AI Officer, and former data leader at multiple Fortune 100 companies breaks down why most enterprise AI efforts fail. - POCs ≠ production - Using #AI tools ≠ transformation - True AI adoption = systems in production,

The Nexla team is heading to Ai4 - Artificial Intelligence Conferences next week in Las Vegas, and we’re bringing all the good stuff: - Enterprise-grade data integration for #AI - Converged integration that solves the data variety problem - Built‑in governance, data quality,

Day 1 at Ai4 - Artificial Intelligence Conferences in Las Vegas! Vegas is known for its buffets🍽️, but have you ever seen the buffet of #data sources companies are trying to wrangle? From APIs to spreadsheets, databases to streams, it’s all on the table, and most teams are left wondering how to make