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Event

Applied ML Leaders Summit · Fall 2026

A full‑day hybrid program for practitioners who ship models: data contracts, rigorous evaluation, serving economics, and governance — with a complete live agenda below.

Date SEP 15, 2026
Format Hybrid
Venue / link Primary: Live webinar (links per session in the agenda) · Optional in‑person satellite: Deep AI Minds Bengaluru studio (invite‑only, limited seats)
Timezone Asia/Kolkata (IST). All session times are listed in this zone.

About this event

WHAT YOU'LL EXPERIENCE<br /><br />A single-track day built for practitioners: how modern teams ship ML with clear data contracts, honest evaluation, and release discipline. Expect crisp keynotes, breaks for questions, and session notes you can reuse in your own org.<br /><br />WHO SHOULD ATTEND<br /><br />ML and data engineers, applied scientists partnering with platform teams, and leads accountable for model risk or customer impact.<br /><br />LOGISTICS & ACCESS<br /><br />• Public agenda and descriptions are always visible on this page — no account required.<br /><br />• To reserve the day or individual sessions and sync reminders to your dashboard, sign in and use Reserve.<br /><br />• Live join links are illustrative until your organizer replaces them in Admin → Events.<br /><br />• Questions about this template day: use the contact email below.

Reservation saves to your learner dashboard. You can always return to this public page to review the agenda.

← All schedules

Agenda

Full timeline

Sessions, speakers, and breaks in order. Meeting links show as Join live when the organizer adds them.

15 SEP 2026
09:00 - 09:45

Opening keynote · From experiments to dependable releases

Speakers

Dr. Ananya Mehta & Deep AI Minds

Sets the bar for “done”: versioning datasets, defining failure modes, and pairing offline metrics with lightweight online checks before you scale traffic.

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09:50 - 10:35

Data contracts & feature stores that survive reorganizations

Speakers

Jordan Park

Schema evolution, ownership boundaries, and how to document semantics so new hires don’t reverse‑engineer pipelines.

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10:35 - 10:55

Coffee & hallway chat

11:00 - 11:45

Evaluation design · When offline uplift lies

Speakers

Priya Nair & Leo Vance

Shift detection, leakage traps, and building a small golden set that humans trust — not just a leaderboard score.

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11:50 - 12:30

Serving & cost · Batching, autoscaling, and SLAs

Speakers

Marcus Chen

Latency budgets, GPU vs CPU paths, and when a smaller distilled model is the ethical choice for customers.

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12:30 - 13:30

Lunch

13:35 - 14:20

Panel · Hiring managers ask, you answer

Speakers

Rina Das & Omar Khalil & Deep AI Minds

Structured behavioral prompts: tracing a bug from metric drift to root cause, and communicating trade-offs to non-ML partners.

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14:25 - 15:10

Research Lab live · Reading a paper like a systems engineer

Speakers

Deep AI Minds

Walkthrough of methodology vs claims, ablations, and what to reproduce first when time is short.

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15:10 - 15:25

Afternoon break

15:30 - 16:15

Safety & governance without killing iteration speed

Speakers

Helena Cho

Model cards, rollback drills, and proportionate review — practical policies startups and enterprises can adopt.

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16:20 - 17:00

Closing · Your 30‑day action plan

Speakers

Deep AI Minds

Concrete next steps: pick one pipeline to instrument, one evaluation to harden, and one stakeholder sync to schedule.

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