Fireside Chat | Breaking AI-led Transformation Inertia: Excerpts from the CXO Playbook
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Legacy to Lakehouse. Automated.

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Witness how to automate your cutover and keep -compute costs down long after go-live. Outcome-based, zero lock-in.
November 19, 2026
Javits Center, New York City
To be Confirmed
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29+
Clients live on Databricks
155K+
Objects migrated to Databricks
 95%+
Legacy conversion automated
 98%+
Programme success rate

Four things that start where your migration ends

The bill that keeps climbing, the Genie answers no one trusts, the regulated data that can’t move, and the hard 20% that never converted - we close all four, native-first

Stop compute bill shock

Getting to the Lakehouse is half the job. Re-engineered-how your workloads run on Spark - model untouched, nothing retested - so runtimes and compute bills keep dropping after go-live.

Air-gapped, CPU-only, zero egress

The conversion engine runs as a container inside your network on standard CPUs. Zero token cost, and no data leaves your environment - built for regulated estates.

Feed native AI

Agents are only as good as their context. We generate rule-level lineage and governed metrics that feed Unity Catalog and ground Genie - so AI runs on proven numbers.

Complement native tooling

We work alongside Databricks Lakebridge — going beyond SQL conversion: the complex legacy estate (Informatica, DataStage, Ab Initio, Teradata, Oracle) - complex ETL, stored procedures and BI. Native first, always.

How We Operate:

Beyond Migration - Modernize. Optimize. Operate.

Migration is one moment. Your Lakehouse has more. 

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Conversion gets the platform built; the value sits in what comes next - one private engine, seven agents, feeding Unity Catalog, Lakeflow, Lakebridge and Genie, not replacing them.

Join us at Theater Stage #1

Phase What it is What you get
Modernize - one-time programme Convert legacy & modern ETL, warehouse and BI to native Databricks code; model derived from evidence, every object proven. A 95%+ automated, audit-ready cutover.
Optimize - recurring saving Re-engineer how workloads run. The model is untouched, so nothing is retested. A lasting drop in your DBU bill.
Operate - continuous value Rule-level lineage, no-code pipelines IT approves, governed metrics for Genie and agents. A Lakehouse that stays governed, efficient and AI-ready.
How We Operate:

One engine, seven agents, from any source to Databricks

That engine is Switchie. Deploy one agent or the whole platform, inside your firewall - each feeds Databricks' own tooling - more native usage, not less.

Join us at Theater Stage #1

DataSwitch (DS) Agent Databricks native DataSwitch Complements Outcome
Modernize
DS Migrate Lakebridge Complex ETL, procedural SQL & BI to native code 95%+ automated
DS Srishti Unity Catalog · medallion Target model derived from evidence 30–50% of scope retired
DS DataMaps Unity Catalog lineage Rule-level lineage incl. external sources 70% faster assessment
DS Sakshi Lakebridge Reconcile Object-level proof, no sampling Evidence for sign-off
Optimize
DS Siddhi Photon · serverless Re-engineers how code runs Recurring DBU saving
Operate
DS DataCitizen Lakeflow Designer No-code pipelines IT approves 3–5X more builders
DS InsightCitizen UC Metrics · Genie Governed semantics that ground Genie 10% to 80% coverage

Why iOPEX + DataSwitch

Getting onto Databricks is the easy part. Making it cheaper, provable and AI-ready afterwards is where the value is. Come and see it on your own code.

Accelerate Your Databricks Journey

Recognized Databricks partnership: DataSwitch brings the platform that automates the conversion. iOPEX brings the agentic operations and delivery that put it into production and runs it.
Outcomes, not consulting hours: Fixed-fee, time-boxed, gated on a measured result — you keep the report either way. No open-ended rewrite.
Proven at enterprise scale: 29+ Databricks programmes, 155K+ objects, 100% validated with no sampling - including a 23,000-table Hive → Databricks cutover for a US health insurer and a Fortune 500 car-rental migration.

Three conversations worth having on the day

Are you moving to Databricks, already on it, or looking at the bill?

Maximize Your Databricks ROI

Accelerating your legacy exit: Skip the multi-year manual rewrite of your Teradata, Oracle or legacy ETL estate. → Estate Assessment
Cutting your DBU run rate: Find where live Spark workloads waste compute and re-engineer them safely. → Cost Baseline
Getting AI-ready: Rule-level lineage across 15+ tools feeding governed metrics into Unity Catalog and Genie. → Lineage Proof.
How We Operate:

Scope Your Lakehouse Outcomes in Two Weeks

Outcome-based, zero lock-in, native code you own. Every entry point is fixed-fee, time-boxed and gated on a measured result - you keep the report either way.

Meet the iOPEX and DataSwitch leadership team on the floor.

Join us at Theater Stage #1

Start here When it fits Timebox
Estate Assessment Legacy or platform move to Databricks 2–3 weeks
Cost Baseline Your DBU bill keeps climbing 2 weeks
Lineage Proof Genie stalled / audit gaps 2–3 weeks
Validation Proof Go-live needs evidence, not samples 2–3 weeks

Meet us at the booth

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