Hightech Kaunas Strengthens Connections with International Clusters

During the Enterprise Europe Network international conference, held in Aalborg, Denmark, from 25 to 29 November, where more than 800 network partners from 50 countries gathered, Hightech Kaunas took significant steps toward expanding its international collaboration landscape. As part of a broader series of partnership-building initiatives, the cluster met with several international counterparts to explore...

Strengthening Collaboration: Hightech Kaunas Representatives Meet Guest from the United Arab Emirates

A representative from the United Arab Emirates recently visited Kaunas, where he met with members of the Hightech Kaunas cluster to explore opportunities for future cooperation. The meeting focused on potential areas of partnership between innovative Lithuanian companies and partners in the UAE. During the visit, Hightech Kaunas representatives introduced the guest to the region’s...

HighTech Kaunas Cluster strengthens ties with the UAE at the Lithuania–UAE Economic Forum

Representatives of the Hightech Kaunas cluster—Ingrida Braziūnienė, Andrius Verbyla, and Šarūnas Pundzius, a delegate from cluster member Invertus—participated in the recent Lithuania–UAE business forum, where both countries emphasized their commitment to strengthening economic cooperation. During the event, the cluster team actively engaged with partners from the United Arab Emirates, explored new collaboration opportunities, and established...

Stop Guessing, Start Knowing: Why Visibility Is the New Key to Business Growth

In today’s fast-moving digital landscape, relying on assumptions is no longer an option for any company that wants to stay competitive. Businesses generate more data than ever before, but without the right tools to interpret it, that information becomes scattered, underused, or simply invisible. And that’s where real problems begin. Operational inefficiencies remain hidden. Teams...

When Data Becomes a Liability, Not an Asset

“Data is the new oil,” they said. And just like oil, it leaks, spills, and causes fires when handled carelessly. The truth is, most companies don’t have “big data.” They make a lot of noise, endless logs, disconnected spreadsheets, and half-configured analytics dashboards. The result? More confusion, not more clarity. One client, a regional distributor, was...

HighTech Kaunas Cluster Representative Joined Business Mission to Singapore

In October 2025, a Lithuanian business delegation participated in a mission to Singapore, organized by Kaunas Chamber of Commerce, Industry, and Crafts, in cooperation with the Embassy of the Republic of Lithuania in Singapore and the Singapore Business Federation (SBF). The mission aimed to strengthen bilateral economic relations between Lithuania and Singapore, explore the local...

When “Legacy” Isn’t the Enemy. It’s the Foundation

“Legacy systems” get blamed for everything. They’re too slow, too rigid, too old. But the truth is, legacy isn’t always bad; it’s just misunderstood. Every stable company has legacy tech because, well, it worked. It ran your payroll, tracked your inventory, or processed your invoices faithfully for a decade. That’s not a failure, that’s proof...

What Digital Maturity Actually Looks Like (It’s Not a Dashboard)

Every CEO wants to be “digitally mature.” But what does that even mean? For many, it’s a collection of dashboards, KPIs, and an AI pilot gathering dust. For others, it’s a €200,000 ERP still waiting for its first happy user. But true digital maturity isn’t about tools, it’s about feedback loops. A digitally mature company...

The Real Reason IT Projects Stall and It’s Not the Code

Ask any CIO why their digital project is late, and you’ll hear familiar suspects: “scope creep,” “integration issues,” “vendor delays.” But under the hood, those aren’t causes, they’re symptoms. The real killer of IT projects? Decision paralysis. Modern buying committees can have up to 17 stakeholders, each with their own goals, fears, and calendars. The...

Why AI Projects Fail Before They Start

Everyone wants AI. Few are ready for it. There’s a quiet epidemic spreading through boardrooms. AI initiatives that look great on slides but die on contact with reality. The pattern is painfully familiar: a company buys a shiny “predictive analytics” tool, hires a data scientist, and six months later… nothing’s in production. The model works...