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The organisations that consistently outperform their markets rarely wait until September to define priorities. They use the summer months to make strategic decisions while competitors are still focused on day-to-day execution.

HIPER proudly announced that it has reached the Gold tier of HubSpot’s Solutions Partner Program. HubSpot, the agentic customer platform built to help businesses grow better, works hand-in-hand with partner experts to grow their businesses through inbound software, services, and support.

The short answer is no. At least, on the long term. The rise of the Chief AI Officer is however inevitable on the short term. And this is logic. Boards are nervous, investors want an AI story, and executives need someone to own it. So, a new title appears.

The recent turbulence in software markets has triggered a familiar reaction: panic, followed by sweeping conclusions. Software stocks are down significantly, and AI is advancing at breakneck speed. Therefore - so the argument goes - software as we know it is under an existential threat.

For decades, the CTO’s mandate was clear: design scalable systems, select the right technologies, and ensure long-term technical stability. Architecture was the foundation of competitive advantage. If the systems were sound, execution would follow.

For years, we told ourselves that technology leadership was about architecture. Scalable systems. Clean abstractions. The right stack. Microservices instead of monoliths. Kubernetes instead of VMs. We optimized for technical correctness. And to be fair, that mattered.

For much of the last two decades, the CTO role was defined by architecture. CTOs were the stewards of scalability, reliability, infrastructure and long-term technical vision. Success meant designing systems that could withstand growth, choosing the right tech stack and building platforms that would not collapse under complexity. The CTO was, in many ways, the chief architect of stability. That playbook is rapidly changing.

New tools launch weekly and the promise is enormous: faster workflows, smarter products and entirely new business models. But there is a reality that far fewer leaders are prepared for: the biggest bottleneck in AI won’t be technology. It will be talent.

For decades, the default model was simple: hire locally, build teams in a single geography, centralize operations and bring everyone together into the same office.

For years, legacy code was something that happened to you. It crept in slowly. A system grew older, teams changed, documentation faded and suddenly you were maintaining something no one fully understood.

Stability has been standing at the core of the European business climate for decades. With the expansion of the European Union as well as its ongoing integration, geopolitical instability seemed like distant history. Companies planned in multi-year cycles, optimized for efficiency and built organizations designed to perform under predictable conditions. That world no longer exists. Today, geopolitical tension, economic volatility, regulatory shifts and rapid technological cha

In the modern enterprise environment, integrations are a strategic imperative. As organizations increasingly adopt SaaS solutions for their operational needs, the real challenge lies not in adoption but in orchestration: making disparate systems communicate seamlessly.

What initially began as a global contingency plan has evolved into a competitive advantage which will be further aggregated by the rise of artificial intelligence.

A decade ago, the software landscape was defined by trade-offs. Traditional development (pro code) was powerful but slow. No-code tools...

There’s a lingering myth in tech outsourcing that external teams are best suited for execution—while product thinking, design and...

As Artificial Intelligence is rewriting the rules of software development, tech companies have to rethink the structure of their tech...

Artificial Intelligence is not a future disruptor, but a present-day force transforming industries across the board. This becomes most...

As of this year it’s official: Lithuania is the largest fintech hub within the European Union. The only country which has more licensed...

Lithuania has long been a hidden gem among the nearshoring locations on the European mainland. Whereas countries like Romania, Czechia...