A place where data-driven exploration meets practical LLM solutions
Jared P. Lander
Hi, I’m Jared P. Lander, founder and chief data scientist at Lander Analytics. We are bringing back our blog because the work has changed.
Not the goal. The goal is still the same: take data, turn it into something useful and help people make better decisions. But the way we get there is evolving quickly and it is happening in front of all of us at the same time.
We are entering a world where the distance between “I have an idea” and “I built something” is getting smaller. Generative AI and large language models are a big part of that. So is the fact that software tooling keeps improving, cloud platforms keep maturing and more people than ever are learning to build.
At the same time, most organizations are still running on a mix of legacy systems, traditional programming languages and workflows that grew over years. That is normal. It is also where a lot of the opportunity lives.
The Lander Analytics Blog 2.0 is where we are going to document how we think about that transition.
The shift is real, but fundamentals still matter
There is a story people like to tell about AI that goes something like: the old way is dead, now we just prompt. From firsthand experience, that is not how it looks when you are responsible for a business, a team or a production system.
Legacy systems are not disappearing. SQL is not disappearing. The craft of data analysis is not disappearing. If anything, it matters more as the pace increases.
What is changing is how people interact with software and how quickly they can prototype, iterate and deliver. The interface is becoming more conversational. The tooling is becoming more assistive. A lot of the work that used to require deep syntax knowledge can now start with intent.
That is exciting, but it also creates a new kind of mess if you do not build with care.
So our focus is not AI for the sake of AI (as fun as vibe coding can be). Our focus is building useful systems that survive contact with reality.
What this blog is for
This blog is our place to share what my team at Lander Analytics is learning as we modernize stacks, deploy models and integrate LLMs into real workflows. If you are leading a team, building software or trying to make sense of what to adopt and what to ignore, this is for you.
What we write about:
What works (and what breaks) when AI meets real systems
Modernizing legacy analytics without burning everything down
Narrow ML versus general AI, and how to choose the right tool
Practical LLM workflows for analysis, engineering, and internal tooling
Data infrastructure, deployment and the unglamorous parts that make it all run
Training and upskilling, because capability has to live inside the team
We are going to take a practical approach, because most organizations do not need moonshots. They need better throughput, lower risk and practical solutions. They need to empower the people who already understand the domain. They need a path from legacy to leverage.
If there is something you want us to cover, reply and tell us. If there is a problem you are wrestling with, tell us that too. And if you want to follow along, subscribe so you do not miss the next post.
Jared P. Lander
Founder and Chief Data Scientist
Lander Analytics