Analytics. AI.
Always-On.
The Open Enterprise Data Foundation for Financial Industry
Join us for a 45-minute executive webinar on how financial institutions can build a modern, open, high-performance data foundation for analytics, AI, and continuity — without proprietary lock-in.
A New Reality Demands
a New Foundation
AI is no longer a side initiative. It is central to how decisions are made, risk is managed, and customers are served. Yet most enterprise data stacks were never designed for AI-scale workloads, real-time analytics, or the sovereignty requirements now reshaping the industry.
The answer is an AI-native architecture — open formats, multi-engine analytics, built-in governance, and a unified data layer designed for the workloads that matter now and the ones that haven't arrived yet.
Four Reasons to Be
in the Room.
Why legacy stacks can't support AI — and what replaces them
The architectural gap between where most enterprises are and where AI workloads need them to be.
The Alphyn + MinIO approach, end-to-end
From open storage layer to governed analytics, ML, GenAI, and self-service — in one integrated stack.
Real TCO and performance numbers
Smaller hardware footprint, higher throughput per node, and significantly lower cost than legacy alternatives.
A concrete next step — not a sales pitch
An architecture workshop scoped to your environment, with both teams, to assess gaps and define a path forward.
Measurable Outcomes,
Not Promises.
AI-Native from Day One
ML training, inference, and GenAI run natively — no retrofitting, no separate stacks.
Open Standards, No Lock-In
Apache Iceberg, Parquet, S3 API — your data stays portable and multi-engine ready.
60 %+ Lower TCO
Fraction of the hardware. Higher throughput per node. Validated in production environments.
Regulation-Ready by Design
Immutability, lineage, RBAC, and active-active replication built in — not bolted on.
Built for the people
who decide and build.
Practitioners,
not slideware vendors.
The 45-Minute Program.
Welcome & Framing
Introductions from both teams and why this conversation matters now for financial institutions.
Market Reality: Why Now
The forces reshaping enterprise data architecture in financial industry — the rise of AI as a core workload, sovereignty pressure, and the limits of legacy foundations.
The Architecture Shift
Why a new foundation is required — not just another platform — and how the open lakehouse approach delivers it.
MinIO AIStor: The Modern Data Foundation
How MinIO AIStor delivers a modern data foundation for analytics, AI, and continuity — built for performance, resilience, and exabyte scale.
Alphyn Lakehouse powered by MinIO AIStor
How Alphyn turns the MinIO AIStor foundation into a governed, multi-engine analytical platform — supporting BI, AI/ML, GenAI, and self-service in one approach.
Continuity. Control. AI. No Trade-Offs.
How financial institutions can achieve operational resilience, data sovereignty, and AI capability together — and why the joint approach makes it possible.
Short Quiz
A short interactive assessment designed to reinforce the material, with prizes awarded to the most active participants.
Live Q&A & Next Steps
Open Q&A with both teams, plus how to take the next step — an architecture workshop scoped to your environment.
Secure your seat.
No trade-offs required.
Register free and join Anton, Roland, and both teams for a 45-minute session on building the data foundation that financial enterprises actually need.
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