8legs: Techradar pro

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#1 out of 516.67%

Firms push for revenue growth from AI, but only 20% have achieved it so far, per the TechRadar Pro report.
Most organizations see productivity gains, though transformative impact remains limited at 25%.
Deloitte data show a move from AI pilots to production, with 40%+ of pilots in production in some firms.
Executives remain cautious, prioritizing governance and data control over rapid returns.
Barriers to adoption include limited use cases and ongoing governance concerns.
Leaders expect continued AI investment while maintaining a long-term, cautious approach.
Agentic AI adoption is projected to reach 74% in two years, up from 23%.
Executives view sovereign AI as important, signaling selective, value-driven investments.
By 6 months, governance and human factors are seen as foundations for competitive advantage.
The report notes many leaders are balancing core tech needs with future innovation.

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#2 out of 5

A Vodafone Business study finds over 10% of UK organizations would struggle to survive a major cyberattack.
Leaders say cyber risk has increased over the past year across businesses in Britain.
Phishing remains a major concern, with 71% of leaders believing at least one employee would fall for a scam.
Basic cyber hygiene, like strong passwords and staff training, remains a key defense.
The UK Government plans new actions to bolster cyber defenses later this year.
Digital risk awareness is rising as AI scams and deepfakes become more common.
Some UK leaders are more alert following high-profile attacks last year.
UK businesses report that password reuse across personal accounts remains risky.
The report emphasizes training and awareness as essential shielding against threats.

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#3 out of 5

Tech analysts say AI investment signals a sustained wave, not a burst, as firms deploy AI at scale.
Major tech giants are directing hundreds of billions into AI initiatives this year, underpinning steady growth.
Industry analysis shows AI is moving from pilots to production-scale deployments with measurable value.
Slalom's research indicates 64% of UK and Ireland organizations are creating or planning new AI-related roles.
Experts warn against overreliance on hype, stressing alignment with clear business value and ROI.
NVIDIA and OpenAI projections signal strong demand for AI compute and growth potential through 2030.
Policymakers view AI as a structural shift rather than speculative, signaling long-term adoption.
The article frames AI as reshaping software delivery, modernization, and automation across industries.
Overall message: AI remains a major transformative trend with uncertain timing for returns but clear direction.

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#4 out of 5

AI ROI is shifting from pure efficiency to adoption and culture, according to TechRadar Pro.
IT leads the AI integration, bridging data, tools, and user adoption across the organization.
Adoption KPIs, not just speed or error rates, should measure AI success during rollout.
Select AI projects that target high-friction areas and integrate tools into existing workflows.
Data quality and contextual integration raise AI success rates across departments.
AI readiness today requires focus on adoption, knowledge, and people, not just infrastructure.
Executive teams should start with tasks that reduce repetitive work and data silos.
Culture over infrastructure is essential for scalable AI success, supported by hands-on training.
AI infrastructure must bridge internal data, ticketing history, and documentation for context-aware results.
The article frames IT as the architect of both technology and human adoption in AI transformations.

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#5 out of 5

Tech leaders should replace reflex upgrades with risk-based decisions to improve resilience.
The piece cites Airbus and Cloudflare to show how upstream changes can cripple downstream services.
The article links vendor incentives to upgrade speed, arguing for evidence-based risk assessment instead.
It stresses end-to-end visibility and diversification to avoid single points of failure.
The piece advocates moving from patching to understanding risk and implementing appropriate controls.
It calls for a mindset shift from compliance to comprehension and from speed to substance.
The article warns that patching can introduce new risks and should not be the sole response to risk.
It highlights the need for governance around dependencies and change management in critical sectors.
The piece notes regulatory pressure can reinforce risky patch-based behavior in some cases.
The article urges CIOs to manage risk with deliberate posture changes despite vendor incentives.

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