Breaking news

Cypriot Startup LIVIA Wins Europe’s Top Youth Entrepreneurship Competition

by THEFUTURE.TEAM

July 29, 2026

A Cypriot university team has won the European GEN-E 2026 youth entrepreneurship competition with LIVIA, a smart agriculture platform that combines satellite data, autonomous drones and artificial intelligence to help farmers improve irrigation, detect disease earlier and reduce pesticide use.

Alongside first place, the team received the FedEx Access Award, expanding its access to investors, entrepreneurs and industry experts across Europe.

Follow THE FUTURE on LinkedIn, Facebook, Instagram, X and Telegram

Initially developed for vineyards, LIVIA analyses individual plants and turns complex data into practical recommendations. The team is now preparing its first functional product and pilot projects in Cyprus, with plans to expand into additional crops and international markets.

From An Idea To Smart Agriculture

LIVIA began with a simple question: how could satellite data create practical value in everyday life? After exploring applications ranging from meteorology to marine biology, the team identified agriculture as the sector with the greatest potential.

Recognising the limitations of satellite imagery alone, particularly in resolution and update frequency, the founders integrated autonomous drones into the platform to provide more detailed field data.

Designed as a modular system, LIVIA can continuously incorporate new data sources and capabilities. Its initial focus is irrigation management, early disease detection and plant health monitoring, with vineyards serving as the first use case because of their importance to Cyprus and the team’s own experience.

Turning Data Into Decisions

Satellite imagery provides continuous monitoring of crops, while autonomous drones capture high-resolution images whenever greater precision is needed.

Artificial intelligence then combines those datasets with information collected by growers, including IoT sensors and field observations, to generate tailored recommendations for irrigation, disease prevention and resource management.

By analysing each plant individually, the platform enables precision agriculture rather than field-wide recommendations.

Building A Hardware And Software Startup

Developing LIVIA has required balancing advanced software with specialised hardware, including drones, multispectral cameras and charging stations, all while operating with limited resources.

Although the startup participates in the Bank of Cyprus IDEA programme and has secured non-equity funding, integrating multiple data sources into a reliable AI system remains its biggest technical challenge.

The Role Of Junior Achievement

Participation in the JA StartUp Programme helped transform the original concept into a business proposition through mentoring, coaching and pitch preparation.

Support continued after LIVIA won the national competition, with the Junior Achievement Cyprus team helping the founders prepare for the European final in Latvia.

European Recognition

Winning GEN-E 2026 and the FedEx Access Award marked the team’s biggest milestone to date and created new opportunities to connect with investors, entrepreneurs and industry experts across Europe.

The founders are now focused on completing their minimum viable product, launching pilot projects in Cyprus and expanding the platform to new crops and international markets.

The Future Forbes Realty Global Properties

Retail’s AI Push Faces A Cybersecurity And Regulatory Reality Check

by THEFUTURE.TEAM

October 19, 2026

Artificial intelligence is becoming a strategic priority for retailers, with 80% of retail leaders planning to increase investment in the technology, according to EY’s latest CEO Outlook Survey. However, growing concerns over cybersecurity, customer privacy and regulation could complicate adoption across an industry already facing inflation, geopolitical uncertainty and changing consumer expectations.

Confidence In AI Comes With Risks

The survey found that 80% of retail leaders are confident in their ability to expand the responsible use of AI and customer data. Retailers are increasingly applying the technology to demand forecasting, inventory management, customer service and personalised marketing, seeking to improve efficiency and respond more quickly to market changes.

Follow THE FUTURE on LinkedIn, Facebook, Instagram, X and Telegram

Yet adoption brings new vulnerabilities. EY found that 24% of retail leaders identified cybersecurity and data privacy as a leading business risk for the year ahead. Retailers manage sensitive customer information, payment systems and complex supply chains, making effective security and governance essential as AI becomes more deeply embedded in their operations.

The World Economic Forum’s Global Cybersecurity Outlook 2026 highlights the wider challenge: 87% of organisations reported rising cyber risks linked to AI vulnerabilities, while 94% expected malicious AI to have a significant impact on cybersecurity in 2026.

Regulation Will Shape AI Adoption

Regulatory frameworks are also influencing how quickly retailers can expand their use of AI. The European Union’s AI Act, China’s state-led governance model and measures introduced by individual US states are shaping the rules around the technology.

For retailers, compliance is becoming a strategic consideration, particularly for customer-facing applications that use personal data to personalise offers, automate interactions or analyse consumer behaviour. Regulatory missteps could carry significant costs in a sector where customer trust is critical.

EY Outlines Four Possible Futures

EY recommends that retailers plan for multiple outcomes rather than assume the current investment boom will continue uninterrupted. Its analysis draws on a four-scenario framework developed by Jim Dator of the University of Hawaii.

One scenario envisages constrained AI adoption as economic pressures, regulation, cyberattacks, legacy systems and poor data quality limit progress. Retailers in this environment may prioritise lower-risk back-office applications, such as finance, procurement, inventory and logistics, while customer-facing tools face resistance.

A second scenario anticipates continued growth, with sustained investment and widespread adoption. A third envisages deeper economic and social transformation as technology reshapes business operations. The fourth considers systemic breakdown, in which a small number of technology platforms control access to AI models and charge premium prices, potentially making advanced capabilities less accessible even to large retailers.

Governance Will Determine Competitive Advantage

EY’s findings suggest that investment alone will not determine which retailers benefit most from AI. Companies will also need robust cybersecurity, effective governance and strategies that can adapt to different economic, technological and regulatory conditions.

For a sector operating on tight margins, the challenge is to turn AI investment into lasting business value while managing the risks that come with greater dependence on the technology.