Adi Polak

Following up on my Data Streaming Patterns talk, I’ll be back for Current in New Orleans on October 29th in a few weeks.

You know I got a FREE ticket code. Use CMP-ADI for free ticket and hopefully I'll see you there.

Maybe AI is a bubble. Maybe it’s the next electricity. Either way, the worst career move is sitting it out.

will be replaced with something more sutiable for production and scale.

What advice would you give to someone in their twenties who wants to build a secure tech career?

Hot take: Every Big AI Framework Will Be Dead in 5 Years

It is always better to appreciate one's strengths.

AI alliances be like: Keep your friends close, and your cloud providers closer☁️

Biz strategy goals

Synergy level: infinite GPU cycles.

Ooh. This one is mind boggling

What’s the best relationship advice you’ve ever received?

This is painfully true

What are some reasons not to buy iPhone 17?

Asking for a friend.

We can get so caught up in imagining the future that we forget to look for inspiration in stories from the past.

It's hard to make anything truly innovative. History has some harsh lessons for us.

You win

also engineering

Software is a science

Software engineering is here to stay.
Companies can’t replace expertise with AI.

Governance and ethics are critical, yet it doesn't necessarily deem impossible

Interesting. I appreciate Toyota leadership approach. Trust & Respect are big ones:
“We hire people for their brains, not just their hands.”

I’ve been studying some new organizational leadership approaches in the new “AI world” and this made me pause:

What if anyone at any level in an organization had an idea, and there were no barriers to bringing it to life?

Perhaps software that was suppose to be a library already

Cloud let you deploy in minutes.
AI lets you build features that think.
Learn to compose AI like services, and you’ll own the next wave of apps.

Word

Ambition is refusing to quit on ourselves. Leadership is refusing to quit on others.

Let it sink.

So many solutions out there. This only makes it harder

When a company shares their benchmark of their solution.

Data Engineering in the Age of AI: Skills To Master Now A look at the critical capabilities data engineers must develop to stay relevant and valuable, as well as practical ways to sharpen those skills.

You might already be skilled in ETL scheduling, analytics queries, or machine learning integration—but are you ready to support AI agents?

In her 🆕 article in @thenewstack.io, @adipolak.bsky.social dives into the skills data engineers need in the age of AI! ⤵️

Not necessarily equal

Have LLMs actually made peoples coding better or just faster?