Why most AI projects fail and how to save yours
👋🏻 Hi, tech trailblazer!
Welcome to This Month in Tech, your insider look at what’s shaping the future of cloud, AI, and data solutions, brought to you by NaNLABS.
In this issue, we reveal the hidden reason why most AI projects fail, share how we helped a high-impact startup upgrade their platform to scale, and cover other key topics.
Let’s dive in!
🌐 Data Engineering Quick Dive
Does your AI roadmap check these 3 critical boxes?
Most AI projects don’t fail because of the model. They fail because of what’s underneath.
The model is the visible, exciting part. It powers the AI-driven features your users interact with.
But what keeps it running at scale, securely and reliably, is the infrastructure.
It’s hidden, but it’s mission-critical. Only a model combined with robust infrastructure can deliver long-term value.
In our latest Vlog, we break down the 3 must-have pillars of AI infrastructure. Check it out to ensure your AI project is built on solid foundations and ready to grow.
Let’s build your AI-resilient infrastructure together!
🏆 Team Spotlight
10 years together, and counting! 🥳
This month, we celebrate Natalia Cattaneo 10-year journey with NaNLABS and the impact she’s made along the way.
From helping organize the office in the early days to delivering top-quality work, Nati’s commitment has been unwavering.
A true sidekick, Nati is always ready to tackle new challenges, listen to her teammates, and share her expertise.
Thank you, Nati, for a decade full of dedication and passion. Here’s to many more! 🎉
⚡ Crafting Software The NaNLABS Way
When a high-impact startup is ready to scale, the last thing you want is your platform holding you back.
That’s exactly the challenge our client faced.
Delos Insurance Solutions is revolutionizing wildfire insurance in high-risk zones, protecting homes that traditional insurers won’t cover.
Even though their solution was powered by advanced technology and AI, their growth quickly outpaced their tech stack. That’s where we came in to make their platform growth-ready.
We automated core processes, accelerated onboarding for new insurance programs, and supported engineering, QA, DevOps, billing, and even legal syncs when needed.
The result? Faster release cycles, fewer manual Ops, and a platform built for scale.
What started as a backend request grew into a trusted partnership across teams.
Check out this case study to learn more about the challenges Delos faced and how we helped them solve them.
🔥 Featured Story of the Month
The global EV charging infrastructure market was valued at around $65 billion in 2023 and is projected to exceed $450 billion by 2030.
This rapid growth creates a major opportunity for Charging Point Operators (CPOs) to capture new value, not only by selling electricity, but by activating the data their networks already generate.
Our latest article, Real-Time Data & Cloud Analytics: Unlocking EV Charging Stations Revenue Opportunities, dives into how CPOs can tap into that potential.
Check it out to explore how real-time data and cloud analytics can help CPOs:
Uncover new revenue opportunities
Optimize station placement
Harness customer behavior insights
Scale analytics efficiently in the cloud
Wondering if your data is ready to support your next stage of growth? We can help!
📱From Our Social Feed: Highlights from May
This month, we’re introducing NaNTalks, a series of conversations on tech topics that matter. Lately, we’ve been discussing:
Why you should design architecture for decision-making and not just reporting.
How infrastructure powered by real-time data can give you a competitive edge.
Why scaling real-time operations starts with a unified data architecture, not just AI.
In Conclusion
Data bytes delivered! Thanks for reading!
Stay tuned for more cutting-edge insights in the next edition of This Month in Tech.
PS: Facing cloud data engineering and real-time data challenges? Let NaNLABS be your trusted tech sidekick!