TRP Perspectives
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Stephanie Schneider
Cyber Threat Intelligence Analyst at LastPass
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Tanguy Crusson
Head of Product at Atlassian
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Vincent Lomba
Chief Technical Security Officer at Alcatel-Lucent Enterprise
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Samantha Kight
Head of Industry Security at GSMA
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Patrick Smith
Field CTO for EMEA at Pure Storage
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Kate Steele
Director for EMEA HPC/AI at Lenovo.
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Nigel Edwards
Vice President at Western Digital.
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Catherine Friday
EY Global Government & Infrastructure Leader
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Christian Pedersen
Chief Product Officer at IFS
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Tyler Troutman
Senior Manager of Collaboration Ecosystem and Engagement at Shure
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Explainable AI is making black box models worthless in the agentic era
Transparency and explainability are only way organizations can trust autonomous AI.
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AI agents: Powering Europe’s most ambitious startups
Startups must prioritize their foundations just as much as their innovative capabilities to achieve these expectations.
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Leading by example: Embracing tools internally before shipping them externally
Using your own tools builds trust, improves quality, accelerates innovation, and protects customers from failure.
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Finding stability in an age of relentless AI innovation
The challenge is not just implementing AI but keeping pace with the relentless changes required.
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From boardroom risk to deal flow: why cyber M&A is accelerating in 2026
Cyber is now a business continuity imperative, pushing buyers towards faster capability building via M&A.
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Think AI hallucinations are bad? Here's why you're wrong
AI isn’t deterministic, its probabilistic, so reset your expectations and build guardrails for business value.
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Airlines don’t have an AI problem. They have a foundational technology problem
Airlines won’t unlock AI’s value until they fix the technology foundations beneath it.
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AI powers innovation – but it’s also powering the next wave of cyber attacks
With AI enabling fully automated cyber attacks, cyber resiliency has emerged as a critical strategy.
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AI fatigue is real and it’s time for leaders to close the organizational gap
Companies needs to mature to understand AI fatigue is the current state of the AI cycle.
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Agentic attacks demand agentic defenses
Autonomous AI attacks are accelerating. Defenders must adopt agentic AI to keep pace.
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2025 was the year AI grew up. How will AI evolve in 2026?
What we can expect from AI going forward - from proactive AI to invisible intelligence.
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Europe’s digital infrastructure is running out of room in its traditional centers
Demand for compute is colliding with physical and regulatory limits in FLAP markets.
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AI conversations at Davos have sprinted ahead – we need to go back to basics
AI dominated Davos, but questions of reliability, trust and real-world impact remain unresolved.
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The agentic future: Why AI's greatest power is amplifying human potential
Forget 'AI vs. jobs.' Augmented intelligence amplifies human potential, demanding trust, ethics, and collaboration.
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Modernization-led cloud migration: The missing step in seizing the AI opportunity
How businesses can master migration-led migration, including key steps like mapping and securing long-term governance.
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Your employees are using AI, whether you like it or not - but are they using AI securely?
As AI becomes increasingly integrated into professional lives, the question is: Are your employees using AI securely?
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The hidden problem with taking five billion photos a day
Our relationship with photography has changed radically, creating vast dormant datasets.
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Context, not compute, will define the next generation of intelligence
AI’s next leap won’t come from bigger models or longer context windows, but from better-organized knowledge.
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Securing AI infrastructure is critical – here's how to do it
The why and how of securing AI infrastructure - today's threats make it no longer optional.
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Five myths about sovereign cloud that could put your business at risk
As governments deploy AI, control and jurisdiction matter as much as where data is hosted.
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Zombie firms are an execution problem, not a demand problem
Zombie firms fail not from weak demand, but slow, fragmented execution across commercial systems.
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The Human Risk Reckoning: Why security must evolve for an AI-augmented workforce
AI is reshaping security faster than culture, controls, and training can keep up.
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Why enterprise security now depends on independence, not upgrades
It is a change-management decision with financial, operational, and risk consequences.
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The rise of the Chief Trust Officer: A game changing new C-suite role
Trust is no longer a 'nice to have' for businesses - but whose responsibility is it?
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Bridging the AI-CRM Gap: How mid-market businesses can get ahead in 2026
The CEO of Workbooks shares his thoughts on how businesses can get ahead in 2026 with AI/CRM integration.
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Why enterprise AI ambitions are outpacing legacy modernization
Enterprise leaders want AI at scale, but legacy systems are holding transformation back.
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The invisible supply chain inside every mobile app
Most mobile app risk comes from software your organization didn’t build, approve, or even know existed.
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2026: Beginning the year with an ethics-first strategy
Why founders must embed ethical redlines, reviews, and stopping rules before scaling.
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How businesses can stop their AI agents from running amok
We need to manage AI agents with the same level of oversight and governance as human users.
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How a mature API management strategy can help eliminate agentic blind spots
Without governance and oversight, agentic AI will create security blind spots that derail AI initiatives.
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Keeping the human touch in tech: what over-automation gets wrong
As AI scales across IT services, removing human judgement risks brittle systems, rising costs, and eroding customer trust.
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Will 2026 be the year facial recognition becomes boring, and why does it matter?
Why 2026 is set to be a pivotal year for facial recognition technology, as it shifts from novelty to necessity.
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What CES 2026 didn’t show: The quiet crisis in wireless capacity nobody is talking about
There’s a quiet crisis unfolding: capacity is collapsing. Light beams can unleash the internet.
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Friend or foe? AI: The new cybersecurity threat and solutions
Understanding the risks now emerging at every layer of the AI stack.
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The AI mistake most enterprises don’t discover until it’s too late
Why single-channel AI wins become multi-channel scalability problems later.
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