By Tom Laufer
When Ido Adiv and I started Loops a few years ago, we had a very clear hypothesis:
We knew that how data teams (or companies) made data-driven decisions was obsolete. That landing people (including the best analysts) on dashboards and telling them “go figure” didn't work anymore - not even close to what was needed for the amount of the data being collected.
Fast-forward to 2025
It’s clearer than ever that AI will completely change the analytics world. 🚀
People expect their AI to answer their questions, help them find answers to the questions they have not thought to ask and surface actionable insights about the new opportunities. They look to AI to tell them what they don’t know about their data.
Yes, the Large Language Model (LLM) infrastructure still needs to mature. What has been fine for writing a blog, must now be able to deliver accurate quantitative insights. That said, we already seeing amazing cases where AI has helped teams save time on repetitive analytic work. 🔥
The constant, large-scale analysis required to determine root cause that can be achieved by AI is empowering data analytics teams to identify and prioritize the biggest opportunities to grow their KPIs.🌟
I’m super excited to see this AI domain evolve in 2025! 🚀
