Short session examining how organisations are reconsidering AI deployment locations as the technology accelerates, exploring how edge-based AI is transforming cloud design, application performance, and data governance.
#AI
41 items
Exploring how rising user expectations from consumer applications are compelling enterprises to modernise their UX delivery through distributed cloud and edge computing to achieve real-time, intelligent experiences.
A simulcast of the Akamai EMEA session with Bryan Glick (Computer Weekly), exploring the shift from AI experimentation to practical deployment in 2026. Covers four key predictions shaping cloud and AI's future, balancing innovation with measurable business value.
John Bradshaw discusses whether AI's competitive advantage in 2026 lies in model size or infrastructure placement, and how financial scrutiny is refining rather than slowing adoption, pushing intelligence toward edge infrastructure for improved performance and cost efficiency.
Video companion to the Tech Talks Daily podcast episode. John Bradshaw examines where AI inference should live in 2026, exploring the shift from centralised cloud training to distributed edge inference.
On-demand session with Computer Weekly's Bryan Glick examining the shift from AI experimentation to practical deployment in 2026, covering four key predictions around inference, edge computing, trusted workflows, and hybrid architectures.
Featured in the inaugural issue of SDxCentral Magazine, covering AI inferencing, edge computing, and the evolving cloud landscape in 2026.
On-demand webinar with Retail Gazette exploring how retailers are modernising cloud and edge strategies to enhance performance and customer experience, covering AI for digital channel stability and intelligent cloud-edge blending for omnichannel optimisation.
DCD's Edge Computing broadcast channel is renamed to reflect the convergence of edge computing and AI inference, signalling a broader industry shift toward distributed intelligence at the network edge.
John Bradshaw, Field CTO Cloud EMEA at Akamai, explains why 2026 is shaping up to be the breakout year for AI inferencing — the process of putting trained models to work — and why the market remains wide open for challengers to hyperscaler dominance.
John Bradshaw, Field CTO Cloud EMEA at Akamai, explains how cloud concentration risk has become a "clear and present danger" to modern enterprise, and how the shift from FinOps to ValueOps — engineering value through AI-driven insight — reframes cloud economics.
John Bradshaw examines how artificial intelligence is transforming cloud economics, driving a shift toward value-focused strategies and accelerating adoption of multi-cloud architectures as enterprises balance cost, performance, and vendor risk.
John Bradshaw and Bryan Glick (Computer Weekly) discuss how enterprises in EMEA are reshaping their cloud strategies for 2025, balancing intelligence, agility, and global scale while managing rising costs and embracing distributed cloud architectures.
On-demand fireside chat with Computer Weekly's Bryan Glick examining how enterprises are reshaping cloud strategy in 2025 by reframing cloud economics beyond cost assumptions and embracing AI, hybrid, and distributed architectures.
On-demand session moderated by Computer Weekly's Bryan Glick examining how Akamai Inference Cloud redefines AI infrastructure, covering AI adoption trends, the emergence of AI agents, and practical strategies for accelerating AI transformation while addressing skills gaps.
Fireside chat with Bryan Glick (Computer Weekly) and Dolo Miah (Linebreak) examining how enterprises can leverage real-time intelligence and edge computing to drive operational efficiency. Research shows companies excelling in real-time operations achieve 62% higher revenue growth.
Fireside chat exploring how enterprises can leverage real-time intelligence and edge computing to drive operational efficiency. Covers why real-time responsiveness matters, how distributed architectures overcome cloud limitations, and practical steps for becoming a real-time enterprise.
Written by John Bradshaw, Field CTO Cloud EMEA at Akamai, this foreword examines the pressures reshaping media streaming in 2025. Viewers now expect instant playback and flawless quality across every device, while operators grapple with massive content catalogues, international rights complexity, and rising egress costs. AI has moved from experiment to strategic priority — driving automated content tagging, personalised recommendations, and targeted advertising — but high egress fees and proprietary cloud AI remain significant barriers to innovation. Bradshaw argues that distributed, open cloud models are the path forward, enabling media companies to scale efficiently, eliminate vendor lock-in, and put high-performance GPU and VPU capacity to work without prohibitive cost.
On-demand session with Bryan Glick (Computer Weekly) exploring key trends shaping cloud innovation in EMEA in 2025, including AI integration, edge-native applications, and distributed cloud, with focus on application modernisation and cost optimisation.
Le previsioni di Akamai per il cloud computing in Italia nel 2025: tre tendenze chiave includono l'ottimizzazione dei costi, l'integrazione centrale dell'IA nelle operazioni cloud, e l'adozione crescente di modelli cloud ibridi che combinano ambienti pubblici, privati e on-premise.
John Bradshaw di Akamai commenta le tre tendenze principali del cloud computing per il 2025: ottimizzazione dei costi, ruolo centrale dell'intelligenza artificiale e adozione crescente di modelli cloud ibridi, con focus specifico sulle opportunità per le imprese italiane.
Industry experts forecast 2025 cloud trends, with John Bradshaw among contributors predicting AI will become integral to cloud operations, multi-cloud strategies will accelerate as enterprises seek cost optimisation, and data protection and cloud sovereignty will emerge as critical priorities.
John Bradshaw presenta cinco predicciones para el sector cloud en 2025: las presiones de optimización de costes forzarán una reconsideración del gasto cloud; la integración de IA se convierte en imperativo empresarial; el cloud híbrido emerge como enfoque sostenible; y la IA generativa exige nuevas estrategias de eficiencia energética.
Entrevista con John Bradshaw sobre la estrategia cloud-to-edge de Akamai, que acerca los servicios informáticos a los usuarios finales. Akamai ha establecido Madrid como nueva región de computación en la nube y planea expandirse a 100 ubicaciones globales para finales de 2024, integrando inteligencia artificial y Kubernetes gestionado.
Entrevista sobre la estrategia cloud-to-edge de Akamai, la nueva región de Madrid, los planes de expansión a 100 ubicaciones globales, y cómo la integración de IA y Kubernetes permite a los clientes españoles acercar la nube a sus usuarios.
John Bradshaw expone cuatro predicciones clave para el cloud en 2024: la IA generativa redefine los roles de los ingenieros cloud, los costes de salida se convierten en barrera para la innovación, la sostenibilidad debe mantenerse pese a las presiones económicas, y el edge continúa acercando los recursos a los usuarios.
John Bradshaw analizza le trasformazioni del cloud computing nel 2024: come l'IA generativa ridefinisce i ruoli degli esperti cloud, la rivoluzione dell'edge computing, i costi di uscita dalle piattaforme e la sostenibilità ambientale dei data center.
John Bradshaw, Director of Cloud Computing at Akamai, is featured in this examination of emerging cloud challenges for 2024, focusing on data egress costs, environmental sustainability concerns, and how AI-driven resource management can address critical infrastructure issues.
John Bradshaw von Akamai kommentiert, wie generative KI Cloud-Engineering-Rollen neu definiert, Edge-Computing Ressourcen näher zu den Nutzern bringt, und Egress-Kosten zunehmend regulatorische Aufmerksamkeit und Multi-Cloud-Strategien beeinflussen.
John Bradshaw predicts that egress costs will become a major topic in 2024, advocates for a multi-cloud approach, and examines how generative AI is decoupling architectural components while challenging organisations to maintain sustainability commitments amid economic pressure.
Las cuatro predicciones de Akamai para el cloud en EMEA en 2024: la IA generativa eleva el rol de los ingenieros cloud, los costes de salida afrontan mayor escrutinio regulatorio, la sostenibilidad sigue siendo prioritaria, y los recursos cloud se desplazan hacia el edge.
John Bradshaw outlines four defining forces for cloud in 2024: generative AI reshaping cloud engineering roles and requiring specialist hardware, egress costs becoming a growing barrier to innovation and multi-cloud adoption, sustainability as a non-negotiable priority, and the ongoing shift of compute toward edge infrastructure.
John Bradshaw apresenta quatro previsões para o cloud em 2024: a IA generativa redefinindo as funções de engenheiros cloud, os custos de saída tornando-se uma barreira crescente à inovação, a sustentabilidade como prioridade permanente, e a expansão do edge computing para reduzir latência.
John Bradshaw von Akamai analysiert vier Cloud-Trends für 2024: der transformative Einfluss generativer KI, wachsende Bedenken wegen Egress-Kosten und Cloud-Lock-in, die Bedeutung von Nachhaltigkeit trotz wirtschaftlicher Drücke, und die weitere Verlagerung von Ressourcen in Richtung Edge-Infrastruktur.
John Bradshaw, Director de Tecnología y Estrategia de Cloud Computing para EMEA en Akamai, presenta cuatro predicciones para el cloud en 2024: IA que redefine roles de ingeniería, mayor escrutinio sobre costes de salida, mantenimiento de compromisos de sostenibilidad, y migración hacia infraestructura edge.
Secondo le previsioni 2024 di Akamai, l'intelligenza artificiale e l'automazione dei compiti di routine permetteranno ai professionisti tech di dedicare più tempo alla creatività e alla progettazione di soluzioni innovative anziché ad attività ripetitive.
Le previsioni di Akamai Technologies per il cloud EMEA nel 2024: l'IA migliorerà l'automazione della gestione cloud, i costi di egress diventeranno ostacoli all'adozione multi-cloud, la sostenibilità dei data center richiede attenzione, e l'edge computing si espanderà significativamente.
Akamai svela le sue previsioni cloud per il 2024 nell'area EMEA: la IA generativa ridefinisce i ruoli degli ingegneri cloud, i costi di uscita diventano un tema sempre più caldo, la sostenibilità rimane una priorità, e il computing si sposta verso l'edge.
John Bradshaw de Akamai Technologies expone las predicciones clave para el cloud computing en 2024: la IA generativa redefine roles de ingeniería, los costes de salida y el vendor lock-in aumentan su protagonismo, la sostenibilidad sigue siendo crítica, y la migración hacia el edge continúa.
Akamai Technologies predice que los costes de salida de la nube serán cada vez más escrutados en 2024. John Bradshaw comenta cómo la IA generativa está transformando los roles de ingeniería cloud y la importancia de mantener la sostenibilidad y de trasladar recursos hacia el edge.
An interview discussing a major organisation's cloud transformation strategy, addressing the complexity of cloud adoption across a highly federated organisation. Covers pandemic-driven shifts, change management challenges, and emerging trends including open-source adoption, AI/ML, and edge computing.