Tech insights | Zentrova Technologies

Generative AI in the enterprise: from experiments to real value

gioithieucongty08.mauwebdep.com.vn — Sat, 24 Oct 2026 13:12:23 +0000

Over the past two years, almost every organisation has experimented with generative AI: an internal chatbot, a document summariser or a writing assistant. Yet according to Zentrova's Data & AI division, only around a third of pilots actually reach production and deliver measurable value. So what makes the difference?

Lesson 1: Start from the process, not the model

Successful projects always begin with a specific process that is expensive or time-consuming, such as credit application handling, support requests or recurring reports. When the goal is quantified from the outset, choosing the right model and architecture becomes far more straightforward.

Lesson 2: Data determines quality

Large language models only perform well when they are given the right context. Most of the effort in our projects goes into cleaning, permissioning and organising the enterprise knowledge base so that retrieval-augmented generation can work. A messy document store produces messy answers, however capable the model.

Lesson 3: Measure and govern continuously

Build a standard evaluation set before go-live and rerun it after every change.
Track the rate of incorrect answers, the cost per request and response times.
Give users a quick way to flag results that are not accurate.
Apply sensitive-data filtering and log every interaction.

Lesson 4: People remain at the centre

Generative AI works best as an assistant that helps employees work faster and more accurately, rather than as a full replacement. Projects with a structured user training programme see adoption rates three times higher than those that simply hand over a tool.

The question is no longer whether to use generative AI, but where to use it to create the greatest value with risks kept under control.

A suggested roadmap

We recommend a three-step approach: pick two or three high-value processes and pilot them over eight to ten weeks; build a shared data foundation and AI governance framework; then scale gradually to other departments. This keeps costs under control and builds internal confidence before any large-scale investment. A short pilot with a clear success metric is usually worth more than a long list of ideas.

Zentrova's Data & AI division now has more than 400 specialists, ready to support organisations from readiness assessment through to deployment and operations.

Ransomware in 2026: new trends and how businesses can protect themselves

gioithieucongty08.mauwebdep.com.vn — Sat, 24 Oct 2026 13:12:23 +0000

Ransomware remains the number one threat to businesses in 2026. Incidents handled by Zentrova's Security Operations Centre in the first half of the year show that attackers are changing tactics quickly, leaving traditional defences no longer sufficient on their own. Below we summarise what we are seeing and the steps we recommend every organisation take now.

Four trends to watch

1. Multi-layered extortion

Attackers no longer just encrypt data. They also steal it, threaten to publish customer information and even contact the victim's partners directly to increase pressure.

2. Supply chain attacks

Rather than targeting large enterprises head-on, attackers get in through software suppliers, maintenance contractors or remote management tools with broad access rights.

3. Going after backups

Many attacks begin by locating and deleting backups before the ransomware is triggered, leaving the victim with no way to recover. In several cases, backup consoles had been left without multi-factor authentication.

4. AI-assisted attacks

AI-written phishing emails are increasingly natural and hard to spot, including in Vietnamese. The time between initial intrusion and data encryption has shrunk to a matter of hours.

Six priority measures

Multi-factor authentication on every admin account, remote access channel and mailbox.
3-2-1 backups, with at least one immutable or offline copy.
Network segmentation to limit how far an infection can spread from a single compromised machine.
Disciplined patch management, prioritising edge devices and internet-facing systems.
Continuous monitoring with endpoint detection and response, backed by a 24/7 security operations centre.
Regular incident response drills, including full system restores from backup.

No business can stop every attack, but every business can decide how quickly it will recover.

Don't forget the human factor

More than 70% of the incidents we handle start with a click on a phishing email or a leaked password. Ongoing security awareness training, combined with simulated phishing exercises, remains one of the most cost-effective investments an organisation can make. Clear reporting channels matter too: employees should know exactly whom to call the moment something looks wrong, without fear of blame.

Zentrova's Cybersecurity division offers ransomware readiness assessments, penetration testing and 24/7 security monitoring aligned with ISO/IEC 27001:2022. Contact info@xxxxx.vn to speak with our team.

Digital skills for the workforce: the talent challenge of a new decade

gioithieucongty08.mauwebdep.com.vn — Sat, 24 Oct 2026 13:12:23 +0000

Vietnam's technology market faces a paradox: the number of engineering graduates rises every year, yet companies still struggle to find people with the right skills in cloud, data, AI and security. The shelf life of a technology skill is now only three to five years, forcing both individuals and organisations to rethink how they learn.

Where are the gaps?

Foundational skills such as system design, security thinking and working with data often receive too little attention in formal education.
Emerging skills such as AI model operations, platform engineering and cloud cost management change almost every quarter.
Soft skills such as communicating with international clients, working remotely and problem solving remain a weak spot for many young engineers.

How Zentrova builds its teams

Clear skills pathways

Every role at Zentrova has a five-level competency framework linked to certifications and real project experience. Engineers know exactly what they need to learn to reach the next level, and team leads have a fair basis for assigning work and assessing performance.

Learning on the job

Around 70% of learning happens within projects through role rotation, mentoring and code reviews. Another 20% comes from internal communities of practice, which now number more than 30. The remaining 10% is structured courses and international certifications.

A knowledge-sharing culture

Every week, Zentrova hosts Tech Talks presented by its own engineers. Every project closes with a lessons-learned review stored on the internal knowledge portal, so future teams avoid repeating old mistakes.

We are not looking for people who know everything. We look for people who love to learn, and we create an environment where they can learn faster than anywhere else.

Advice for organisations

For organisations going through digital transformation, investing in the skills of existing staff is often more effective than simply hiring new people. Start by assessing the digital capabilities of each department, identify the skills that matter most for your three-year strategy, then design a programme that blends online learning, real projects and mentoring.

Through Zentrova Academy, we train more than 1,500 learners every year, including client staff involved in digital transformation programmes. After all, technology only creates real value when people have the capability to master it.