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Altamira team

The Altamira team is a group of diverse experts dedicated to driving innovation and excellence in the software development landscape. Comprising talented professionals from various domains, such as software development, marketing, HR, and project management, our team proactively collaborates cross-functionally to bring you insightful and comprehensive content. Drawing on their unique perspectives and extensive experience, our professionals unite to deliver articles that reflect Altamira’s commitment to excellence, innovation, and a people-driven approach.

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Altamira team

Latest content from Altamira team

Core banking legacy modernization without a big-bang replacement
Artificial Intelligence Articles
September 14, 2026 16 min read

Core banking legacy modernization without a big-bang replacement

94% of core banking modernization programs run past their original timelines. Of course, that number is not an argument against modernizing. It only argues against the method most banks still reach for first. They build a new core in parallel, then switch everything over on one weekend.  The big-bang approach consolidates every risk in the program […]

September 14, 2026 16 min read
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Car damage recognition: Dataset requirements for insurance claims automation
Artificial Intelligence Articles
September 11, 2026 17 min read

Car damage recognition: Dataset requirements for insurance claims automation

The global AI in insurance industry reached USD 10.36 billion in 2025. It is projected to hit USD 154.39 billion by 2034, a compound annual growth rate of 35.7%. At the same time, full AI adoption among insurers rose from 8% to 34% in a single year.  In this guide, we cover what a car […]

September 11, 2026 17 min read
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From AI pilot to production: what breaks after the first six weeks
Artificial Intelligence Articles
September 7, 2026 15 min read

From AI pilot to production: what breaks after the first six weeks

A smooth pilot is reassuring but usually misleading. The job of a pilot is to strip out everything that makes software hard to run. That means messy data, live traffic, brittle integrations, and the person who owns it late at night. Take those away and almost any capable AI model looks ready. A clean pilot […]

September 7, 2026 15 min read
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Embedding AI agents into SaaS products: permissions, guardrails, and workflow design
Artificial Intelligence Articles
August 26, 2026 17 min read

Embedding AI agents into SaaS products: permissions, guardrails, and workflow design

Let’s be honest, a working agent demo takes an afternoon. However, getting that same agent into a live SaaS product, where it touches real customer data across many tenants, takes months. Embedding AI agents into products has less to do with the model and more to do with the emerging questions around it. What is […]

August 26, 2026 17 min read
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WordPress security breach: how we found it, contained it, and hardened the site
Artificial Intelligence Articles
August 3, 2026 9 min read

WordPress security breach: how we found it, contained it, and hardened the site

WordPress runs more than 43% of the web. That scale is most of why it takes such a constant stream of automated attacks, and almost none of it is targeted. The bots go looking for older sites nobody maintains, where a known weakness has been sitting open for months. Patchstack’s State of WordPress Security in […]

August 3, 2026 9 min read
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Monolith vs Microservices for enterprise modernization: When a rewrite pays off
Artificial Intelligence Articles
July 28, 2026 14 min read

Monolith vs Microservices for enterprise modernization: When a rewrite pays off

Most enterprise modernization programs commit to microservices before anyone has proven the business needs them. The monolith feels slow, deployments are painful, and the assumed fix is to break the system into services. That assumption fails often enough to be costly. A monolith vs microservices decision is rarely settled by architecture alone. Two questions decide […]

July 28, 2026 14 min read
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Staff augmentation vs full hiring: When enterprise AI teams need delivery capacity fast
Artificial Intelligence Articles
July 17, 2026 13 min read

Staff augmentation vs full hiring: When enterprise AI teams need delivery capacity fast

AI roadmaps get approved faster than teams can be staffed to build them. A board can sign off on an AI initiative in a few weeks, while filling the engineering roles it needs regularly takes three to four months. Engineering leaders end up in an uncomfortable spot: the work is approved, the deadlines are committed, […]

July 17, 2026 13 min read
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Nearshore vs offshore for AI product development: A decision framework for US and UK teams
Artificial Intelligence Articles
July 13, 2026 13 min read

Nearshore vs offshore for AI product development: A decision framework for US and UK teams

Demand for AI features is growing faster than most companies can hire for. According to the World Economic Forum, 94% of C-suite executives report shortages in AI-critical skills, and Deloitte’s Global Outsourcing Survey found that 87% of IT leaders now use outsourcing to speed up AI adoption. So the question for most US and UK […]

July 13, 2026 13 min read
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Data governance vs data management: What Scandinavian manufacturers need before scaling AI pilots
Artificial Intelligence Articles
July 6, 2026 13 min read

Data governance vs data management: What Scandinavian manufacturers need before scaling AI pilots

Manufacturers across Sweden, Denmark, Finland, and Norway are putting huge money into AI. A 2026 Deloitte survey found that roughly 70% of Nordic firms now spend 10% or more of their IT budget on AI, with a quarter of them spending over 20%. Yet the returns are thin. Boston Consulting Group’s March 2026 report on […]

July 6, 2026 13 min read
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