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Why are FinOps or DataOps alone no longer enough in the era of Data & AI?

Over the past decade, FinOps and DataOps have brought much-needed structure to cloud spending, data governance, and operational accountability. But as data platforms and AI workloads grow, organisations face new cost drivers that cut across both disciplines and require a more integrated approach to cloud economics.

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Article

The age of technology efficiency: why is cost discipline the new innovation strate...

The age of technology efficiency: why is cost discipline the new innovation strategy?

For years, technology growth was measured primarily in scale. Today, organisations are increas...
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Article

What happens when FinOps tools, automation, and engineering expertise finally work...

What happens when FinOps tools, automation, and engineering expertise finally work together. Rethinking cloud savings in the AI era

94% of IT decision-makers still struggle to control cloud costs, which is why FinOps is becomi...
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Article

Ensuring a smooth IT transition: a proven framework for success

Ensuring a smooth IT transition: a proven framework for success

IT transition is the process of transferring an IT solution from one provider to another. Our ...
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Article

Delivering zero-defect core system modernisation

Delivering zero-defect core system modernisation

Modernising the core systems that power insurance businesses has never been more urgent - or m...
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Top Author

Adam Gaca

I help companies turn transformation and innovation into measurable growth.

Blending people, process and technology to drive revenue, operational excellence and meaningful business outcomes across industries and geographies. My work focuses on building innovative AI- and data-driven capabilities, modern cloud foundations and sovereign-by-design strategies that keep organisations fast, compliant and in control. With a strong track record in advisory, strategy, management and applied AI, I partner with leaders to translate ambition into scalable solutions, trusted operations and lasting competitive advantage.

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Article

Cloud modernisation strategy for enterprises: how to get started?

Cloud modernisation strategy for enterprises: how to get started?

Modernising your enterprise for the cloud is nowadays a strategic imperative. In this article,...
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Article

AWS governance: security, compliance, and cost control

AWS governance: security, compliance, and cost control

This article will outline what AWS governance entails and why it is so significant for our eve...
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Article

Cloud cost analysis 101: optimising and reducing cloud spend

Cloud cost analysis 101: optimising and reducing cloud spend

Curious about how to cut cloud costs? Cloud cost analysis helps businesses track, manage, and ...
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Article

The ultimate guide to Cloud Cost Governance for businesses

The ultimate guide to Cloud Cost Governance for businesses

Managing cloud costs is vital for your business. Cloud Cost Governance helps monitor and contr...
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AI News

How to prevent AI from scaling technical debt?

Scaling AI too quickly can amplify hidden inefficiencies, turning small problems into major bottlenecks. Preventing technical debt requires a careful balance between innovation speed and sustainable system design.

Here’s how to approach it without compromising software quality or disrupting development processes.

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Article

The role of AI agents in modern business strategies

The role of AI agents in modern business strategies

Dive into this article to learn how AI agents are reshaping industries and driving innovation.
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Article

AI in insurance: how can it be used and what are the benefits?

AI in insurance: how can it be used and what are the benefits?

In the swiftly changing digital era, artificial intelligence is revolutionising the insurance ...
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Articles

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Real-time sports data: what a single World Cup goal does to your pipeline
#Data Solutions

Real-time sports data: what a single World Cup goal does to your pipeline

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Adam Brodziak
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From pilot to production: why banking AI projects get stuck in PoC and what to do about it
#AI/ML

From pilot to production: why banking AI projects get stuck in PoC and what to do about it

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Anna Samborowska
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Krystian Suchodolski
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How to build a successful data strategy for AI readiness: a practical guide for technical leaders
#AI/ML #Data Solutions

How to build a successful data strategy for AI readiness: a practical guide for technical leaders

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FP Team
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What are the common AI adoption challenges?
#AI/ML

What are the common AI adoption challenges?

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Klaudia Szymańska-Bobowska
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AI readiness in banking: how to close the gap between experimentation and production
#AI/ML

AI readiness in banking: how to close the gap between experimentation and production

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Anna Samborowska
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Krystian Suchodolski
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The factoring onboarding paradox: every step is necessary, the whole is often broken
#IT News

The factoring onboarding paradox: every step is necessary, the whole is often broken

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Krystian Suchodolski
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How do businesses manage the risks of AI implementation?
#AI/ML

How do businesses manage the risks of AI implementation?

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Maciej Szymkowski
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Why AI adoption in banking is now a question of resilience, not just efficiency
#AI/ML

Why AI adoption in banking is now a question of resilience, not just efficiency

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Krystian Suchodolski
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Anna Samborowska
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Generative AI for data analytics: business value, use cases, and executive oversight
#AI/ML #Data Solutions

Generative AI for data analytics: business value, use cases, and executive oversight

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Sebastian Purtak
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Application performance optimisation: why and when optimise your apps
#Software Development

Application performance optimisation: why and when optimise your apps

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Patryk Janczur
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Data integration strategy: a board-level guide to growth and risk
#Data Solutions

Data integration strategy: a board-level guide to growth and risk

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FP Team
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Operational AI: the guide for enterprises that are done experimenting
#AI/ML

Operational AI: the guide for enterprises that are done experimenting

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Maciej Szymkowski
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FinDataOps vs SaaS vs consulting: choose the right approach to data cost optimisation
#Data Solutions #FinDataOps

FinDataOps vs SaaS vs consulting: choose the right approach to data cost optimisation

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Błażej Ksycki
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FinOps without DataOps: why half the equation leaves significant cloud savings unrealised
#Cloud #FinDataOps

FinOps without DataOps: why half the equation leaves significant cloud savings unrealised

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Błażej Ksycki
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The most common AI implementation challenges and how to address them
#AI/ML

The most common AI implementation challenges and how to address them

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Tomasz Hanke
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How to implement data hygiene for business growth?
#Data Solutions

How to implement data hygiene for business growth?

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Małgorzata Magnor-Kurdybelska
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How to create enterprise AI strategy?
#AI/ML

How to create enterprise AI strategy?

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Anna Talarek
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User experience in specialty insurance: professional platforms for complex risk management
#Analysis & Design

User experience in specialty insurance: professional platforms for complex risk management

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Anna Łukaszczyk
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When your breach becomes tomorrow’s headline: cyber resilience in the media sector
#Security

When your breach becomes tomorrow’s headline: cyber resilience in the media sector

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Artur Dąbrowski
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Anna Mleczko
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Why one-off cloud audits cannot fix a structural cost problem (and how FinDataOps can)
#FinDataOps

Why one-off cloud audits cannot fix a structural cost problem (and how FinDataOps can)

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Błażej Ksycki
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Cloud repatriation: why enterprises are bringing workloads back on-premises
#Cloud

Cloud repatriation: why enterprises are bringing workloads back on-premises

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Adam Gaca
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AI product development: from idea to measurable business impact
#AI/ML

AI product development: from idea to measurable business impact

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Maciej Szymkowski
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