Miquido

19/05/2026

Think of an app that freezes on launch because its serverless backend was "asleep" to save costs and needs a few cold seconds to wake up. To delete or not to delete?

Such a "cold start" might save companies money, but for the user, a 10-second blank screen is usually a one-way ticket to hitting the "uninstall" button.

In the realm of mobile cloud computing, latency is merely the tip of the iceberg.

More critical challenges lie beneath the surface: data synchronization nightmares where simultaneous edits vanish into thin air, or security vulnerabilities inherent in multi-tenant environments. Or a single server outage in Virginia instantly paralyzing digital door locks thousands of miles away in Warsaw.

Mobile cloud computing is a powerhouse, but only if you know how to bridge its inherent gaps. Read our full article to discover how we build systems that keep your business running even when the cloud or the connection fails.

Read the full article here:

12/05/2026

Travel apps are increasingly designed around one simple idea:
let users handle more of the journey themselves. 🌴

Trip configuration, booking, managing reservations, adjusting details along the way - these moments shape how confident travellers feel about their plans.

Together with TUI, we’ve been developing a mobile experience where self-service plays a central role in how users browse offers, plan holidays and manage their trips.

As Martyna Czajka, Project Manager working on the TUI project at Miquido, explains in our report, giving travellers more control over these steps often leads to a better overall experience.

We discuss this shift in our report “Mission: Self-Possible”, researched and crafted by Dominika Będkowska, Market Researcher at Miquido.

Download the full report: https://eu1.hubs.ly/H0vfL7l0

12/05/2026

Most enterprise AI projects fail.

Not because the models don’t work.
But because everything around them doesn’t.

Despite massive investment:
→ up to 95% of AI initiatives never deliver real value
→ only ~6% of companies see a meaningful EBIT impact

The rest?

Stuck in what we call pilot purgatory — demos, experiments, PoCs… but no business outcomes.

The pattern is predictable:
• starting with AI instead of the problem
• weak or unusable data
• overestimating model capabilities
• no clear link to business metrics
• scaling before validating value

One of the most expensive mistakes?
“If your AI feature does what users can already do in ChatGPT, you’re not creating value—you’re adding cost.”

16/04/2026

For years, companies building mobile products relied on the "walled garden" of app stores to keep us safe. But with a 38% surge in Android-specific threats and "v***r apps" that transform into malware after installation, the perimeter is officially dead.

In 2026, your app cannot rely on the user's phone being "clean." It has to be a self-defending product.
We’ve identified 3 pillars for this transition:

1. Active self-defense (RASP): Your app must monitor its own heartbeat and shut down if it detects a "hooking" framework.

2. Code hardening: If a competitor looks under the hood, they should see a "black box," not your proprietary logic.

3. Zero-trust storage: Treat local memory as hostile territory. If the phone is lost, the data must remain an unreadable cipher.

📖 Read our full deep dive on 2026 mobile resilience:

Protect your software with mobile app security best practices. Learn about RASP, zero-trust storage, and AI guardrails to meet top security standards.

15/04/2026

Retail gamification works best when it supports habits.

Mechanics like visible progress, a small “head start,” or daily streaks tap into simple behavioral patterns that encourage users to come back.
When these elements are thoughtfully designed, every interaction feels like a step forward.

We break down three gamification mechanics that help build lasting engagement in retail apps. 👀

Learn more on our blog: https://eu1.hubs.ly/H0sn4ML0

14/04/2026

In eCommerce, small frictions add up quickly.

Unclear delivery status, complicated returns, missing product availability, or too many steps at checkout can easily break the shopping experience.

Leading apps approach this differently. They design self-service features that give users real-time visibility and control over what’s happening with their order.

We look at how these patterns work in practice in our report “Mission: Self-Possible”, researched and crafted by Dominika Będkowska, Market Researcher at Miquido.

Download the full report: https://eu1.hubs.ly/H0sn1NR0

08/04/2026

Image recognition in mobile apps looks impressive in demos. But in real products, a gap often appears between the “digital vision” and the physical world.

Even highly accurate AR or visual search features can struggle once they leave controlled environments.

In our latest article, we explain how mobile image recognition actually works and where teams most often hit implementation bottlenecks.

Read more:

Discover the potential of image recognition features in mobile apps, from self-service to product discovery and solutions to most common challenges.

07/04/2026

Self-service is often discussed through features: chatbots, tracking, quick returns.

But the real story is bigger. It’s about how customer expectations are changing and why more people prefer to manage things on their own.

In “Mission: Self-Possible”, Dominika Będkowska, Market Researcher at Miquido, looks at self-service through that broader lens - connecting real product examples with the trends shaping user behaviour today.

Download the full report: https://eu1.hubs.ly/H0snB040

03/04/2026

During our Miquido for Creatives webinar, Susan Cummings, CEO & Co-Founder at 10six Games, described a very different mindset: treating AI like a junior member of the team.

Not something that creates the core work, but something that helps iterate, adapt and extend ideas.

It’s a small shift in framing, but it changes how creative teams actually work with AI.

Watch the full conversation: https://eu1.hubs.ly/H0snC1p0

01/04/2026

FinTech is entering a new phase. The biggest shift is no longer about experimenting with new tools, but about integrating them into systems that scale: AI-driven operating models, real-time payments, programmable money, and embedded financial services.

What does that mean for banks, fintechs, and product teams?

In our latest article, we break down the key trends shaping the next wave of financial technology.

Read more:

Explore top fintech trends for 2026 from Deloitte, McKinsey, & Accenture. Discover how Miquido leads Europe in AI-driven banking & infrastructure ex*****on. Read now.