Live Webinar • 45 Minutes • Free Registration

Analytics. AI.
Always-On.

The Open Enterprise Data Foundation for Financial Industry

Join Alphyn and MinIO 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.

// Built on open standards // Designed for performance // Engineered for AI // Built for control
Co-hosted by
Financial Industry • Enterprise Data • AI Infrastructure
Executive Framing

A New Reality Demands
a New Foundation

Financial institutions are operating in a new reality. AI is no longer a side initiative — it is becoming central to how decisions are made, risk is managed, and customers are served. At the same time, data volumes are exploding, sovereignty requirements are tightening, and the cost of legacy platforms is becoming unsustainable.

The challenge is no longer about choosing another data platform. It is about whether the underlying foundation — the technology and architecture beneath analytics, AI, and operations — can actually support what the business now demands.

Most existing foundations were not designed for this reality.

In this session, Alphyn and MinIO discuss why a new approach to the enterprise data foundation is required — one built on open standards, engineered for AI workloads, and designed for the performance and resilience that financial institutions cannot compromise on.

Alphyn Lakehouse powered by MinIO AIStor delivers this foundation as one integrated approach — combining open formats, multi-engine analytics, enterprise governance, and an AI-first architecture that scales with the business.

Why Attend

Six Reasons to Be
in the Room.

01

Understand what's actually changing — and why now

Get a clear view of the forces reshaping financial industry data architecture: the rise of AI as a core workload, sovereignty pressure, and the structural limits of legacy platforms.

02

See why a new foundation is required, not just a new platform

Understand why incremental upgrades to existing stacks fall short — and what the open lakehouse approach changes at the architectural level.

03

See the joint Alphyn + MinIO solution in context

Walk through how the integrated approach works end-to-end — from open data foundation to governed analytics, AI workloads, and self-service consumption.

04

Learn how to scale AI without rebuilding from scratch

See how an AI-first architecture supports BI, ML, and GenAI on a single foundation — instead of building separate stacks for each workload.

05

Understand the TCO and performance reality

See how the right foundation delivers significantly lower total cost of ownership, smaller hardware footprint, and higher performance than legacy alternatives.

06

Walk away with a concrete next step

An architecture workshop with both teams to assess your environment, identify gaps, and define a path forward — scoped to your context.

Value Proposition

Engineered for the
AI-First Enterprise.

01

Engineered for AI

An architecture designed with AI as a cornerstone — supporting ML training, inference, and GenAI workloads natively, not as an afterthought bolted on to a legacy stack.

02

A Modern Data Foundation

The open, high-performance foundation that AI and analytics actually require — built on open standards, multi-protocol, and ready for exabyte-scale workloads.

03

Lower TCO, Smaller Footprint

Significantly lower total cost of ownership with a fraction of the hardware footprint of legacy platforms — and higher performance per node, validated in production.

04

Enterprise Control & Continuity

Governance, lineage, access control, immutability, and active replication built into the foundation — designed for regulatory and continuity requirements.

Who Should Attend

Built for the people
who decide and build.

[01]
Chief Data Officer / Head of Data
Setting data strategy and AI direction
[02]
Chief Architect / Enterprise Architecture
Designing the foundation AI runs on
[03]
Head of AI / ML & Analytics
Scaling AI workloads into production
[04]
Head of Data Platform / Engineering
Operating the platforms that deliver insight
[05]
CIO / CTO of Financial Institution
Accountable for technology, TCO, resilience
Speakers

Practitioners,
not slideware vendors.

Anton Melnik
CEO • Alphyn
Anton is a thought leader in enterprise AI and data with over 20 years of experience across financial services, telecom, energy, and asset-intensive industries. He has led large-scale AI adoption programs for General Electric, Baker Hughes, and C3.ai, advising C-level stakeholders on moving from pilots to industrialized deployments across the EMEA region.
Ahmad Tantawy
Field Architect • MinIO
Ahmad is a Field Architect at MinIO based in Dubai, working directly with enterprise customers across EMEA on modern data infrastructure for AI and analytics. He brings 15+ years of solution architecture and presales leadership from Hewlett Packard Enterprise, where he held EMEA Presales Lead and Worldwide Presales Architect roles spanning big data analytics, telecom, and large-scale data platforms.
Session Agenda

The 45-Minute Program.

01

Welcome & Framing

Introductions from both teams and why this conversation matters now for financial institutions.

02

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.

03

The Architecture Shift

Why a new foundation is required — not just another platform — and how the open lakehouse approach delivers it.

04

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.

05

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.

06

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.

07

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, Ahmad, and both teams for a 45-minute session on building the data foundation that financial enterprises actually need.

Register Now — Free

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