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GITEX Showcases 5G And AI As Pillars Of Future Connectivity

The “Intelligent Connectivity” conference explored the future of 5G and autonomous vehicles during the world’s largest tech event.

Published

2 years ago

October 19, 2024

Joanna Melki

gitex global 2024 showcases 5g and ai as pillars of future connectivity

GITEX GLOBAL 2024, the world’s largest tech and startup event, has featured an “Intelligent Connectivity” theme, with 5G a major focus. Visitors caught a glimpse into the potential of wireless technology when combined with artificial intelligence (AI), and how groundbreaking technologies would shape the future of connectivity.

GITEX GLOBAL 2024 also brought together many influential voices from global enterprises and organizations, including Khalid Murshed, Chief Technology & Information Officer at e&, Wang Hui, President of NCE Data Communication Domain at Huawei, and Thomas Lamanauskas, Deputy Secretary General at the ITU. Also participating were Roque Lozano from Nokia, Kazuhiro Gomi of NTT Research, and SG Chung from SK Telecom.

The event showcased a wide array of advanced technologies from major exhibitors such as Huawei, e&, Nokia, China Telecom, Ericsson, Cisco, and Beyon. These companies demonstrated next-generation 5G applications, highlighting the event’s role as a key platform for exploring connectivity’s future and digital transformation.

5G And AI: Catalyzing The Future Of Telecommunications

Khalid Murshed of e&, one of the largest telecommunications companies in the Middle East and North Africa, spoke about the transformative power of 5G and AI. According to him, “5G and 5G advanced serve as a platform for everyone to come in to innovate,” driving the demand for further advancements in network capabilities.

He added that their focus is not merely on technological leadership but on building networks that enable new use cases. “We’re not just building a network for the sake of technology leadership […] we have live networks and private 5G,” Murshed explained, underscoring the significance of innovation in enhancing networks and AI integration.

The Role Of 5G In Autonomous Vehicles

A key highlight was the impact of 5G on mobility, particularly autonomous vehicles: Siyuan Liu, Head of IoT Partnership & Strategy at China Unicom Global, emphasized that 5G is central to developing autonomous driving, which promises to revolutionize transportation by improving efficiency and safety through real-time decision-making.

Large Language Models (LLMs) are also making waves across industries, including telecommunications. Wang Hui of Huawei discussed how AI applications are being utilized in China for autonomous vehicles and healthcare, showcasing the broad potential of these new technologies.

Revealing Disruptive Innovations

Thousands of visitors explored some of the most revolutionary products powered by 5G. Notably, e& announced a partnership with Vodafone Business IoT to deliver in-vehicle connectivity for Mercedes-Benz in the UAE, set to launch in early 2025.

e& also displayed the Nissan Hyper-Force, an all-electric supercar connected through their 5G network, and introduced their new AI-powered digital advisors tailored to local cultural needs. Meanwhile, Avaya exhibited its “superpower agents,” AI-driven tools designed to help businesses make scalable decisions.

Related Topics:5G Artificial Intelligence GITEX GLOBAL

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ESET Bets On Specialized Security AI At 0.5% The Training Cost

ESET says NeoCortex can estimate an attacker’s next move, with a kill switch and human oversight built in to keep it from going rogue.

Published

5 days ago

November 4, 2026

Dana Saadeh

eset bets on specialized security ai at 0.5% the training cost

A sign-in anomaly, a suspicious process launch and an unusual connection may look harmless alone. Together, they can describe an intrusion that is hard for security to teams to piece together.

To solve that problem, ESET announced ESET NeoCortex on November 4, 2026: a specialized foundational AI model for cybersecurity. It powers ESET LiveCortex, available within the ESET PROTECT Platform, which connects fragmented security signals and turns them into actionable incidents.

Filtering is the main selling point, with LiveCortex processing billions of raw telemetry events daily, and just 0.00111% of them contributing to incidents presented to customers. The aim is less alert fatigue and more analyst time spent on threats that matter.

NeoCortex is built on world-model architecture, learning how digital environments behave and how events relate. ESET says that lets it reconstruct missing incident context, recognize similar past cases and estimate an attacker’s likely next step – what the company calls “minus-one-day defense,” a chance to intervene before the next stage unfolds. ESET points to Black October, the week leading up to October 25, 2026, when critical security issues affecting PHP, Linux, GitLab and other key systems demanded rapid, prioritized responses, as the kind of moment where that context matters.

ESET’s internal research also suggests a specialized model like NeoCortex can be trained at up to 200 times lower cost than a large general reasoning model, while delivering more accurate, defense-focused results. The company credits optimized training, a focus on cybersecurity vocabulary, lower computing requirements and privately owned hardware.

Also Read: Dubai Says Its Deepfake Detector Needs Just 7 Seconds Of Video

“AI is accelerating both cyberattacks and cyberdefenses. With ESET NeoCortex, we are applying our AI investment to develop specialized foundational cybersecurity intelligence that remains under our control and strengthens, rather than replaces, human expertise,” said Juraj Malcho, Chief Technology Officer at ESET.

As part of the design, NeoCortex forms part of a layered architecture combining specialized models, deterministic controls, correlation logic, validation, auditability and expert human oversight. Safeguards include restricted sandboxes, read-only tools, continuous monitoring, defined usage and token limits, a kill switch and human oversight of critical response decisions. The model is also developed and self-hosted on ESET’s own infrastructure, which the company says reduces exposure to shifts among third-party AI providers, including commercial and geopolitical ones.