Finomics at AI4 2026

Ai4 is the world's largest applied-AI conference — a gathering built for enterprise leaders, data scientists, and technologists who are deploying AI in production, not just researching it. Now in its ninth year, it covers everything from machine learning and generative AI to computer vision and AI governance, with dedicated tracks for industries like financial services, healthcare, and retail. This year's edition runs August 4–6, 2026 at The Venetian in Las Vegas, and is expected to bring together more than 12,000 attendees, 1,000+ speakers, and 400+ exhibitors. It's less a trade show and more a working session for the industry — the place where practitioners compare notes on what's actually working, and where enterprises benchmark themselves against everyone else moving as fast as they are. This year, the Finomics team is gearing up for it.

Who's Going

Finomics will be on the ground at Ai4 this year, represented by Ronak Bhavsar (Co-founder & COO), Chirag Bhavsar (Founder), and Chase Scheffel (Operations Manager). If you're going to be there and want to talk shop — Tokenomics, AI cost governance, why your cloud bill looks the way it does — track them down. That's genuinely the best part of a conference like this: fewer keynotes, more hallway conversations that change how you think about a problem.

Speaker Spotlight: Ronak Bhavsar

Ronak Bhavsar, Finomics' co-founder and COO, is speaking this year. Her talk is directly addressing the burning AI problem — The AI Spend. She is going to talk about Tokenomics, FinOps for AI and AI for FinOps.

The Session Overview

The burning AI problem - AI spend is climbing fast, cloud spend is climbing right alongside it, and most companies are lacking a clear governance, control and visibility around the problem. Add in the fact that the pricing model on AI Spend is changing from seat based licensing to consumption based AI credits, token spend, and API metered calls.

FinOps for AI — the part people usually miss. It's not just “track the cloud bill” anymore. Ronak breaks it into three things that need attention:

• Tokens — knowing what you're spending on input versus output, catching overages before they blow up a budget, and being able to say which team, app, project or product is driving the cost
• Seats — the boring but expensive problem of paying for Copilot or Claude licenses
• GPUs — knowing what's sitting idle across your fleet instead of guessing

AI for FinOps. In addition to the visual dashboards showcasing clear AI/Token spend, you get forecasting models that alert budget issues, anomaly detection, cost recommendations that come with an actual Terraform script attached instead of just advice, and — the most useful bit — being able to just ask “what's our Claude spend looking like this month” and get a straight answer through conversational AI FinBot.

Why It's Worth Your Time

This isn't a talk about a hypothetical future problem — enterprises are dealing with this right now, and most of them are doing it without the tools to see what's happening. That's the gap Finomics builds for: one place to see cloud, SaaS, AI/token spend together instead of piecing it together after the fact.

Come Say Hi

If you're at Ai4, catch Ronak's session, and swing by to meet the team in person. Can't make it to Vegas? Take a look at finomics.ai and request a demo.

See you in Vegas.