#edge

A video interview on how enterprises scaling AI deployments are straining traditional cloud infrastructure, and why an "AI Grid" model — distributing AI inference across edge locations rather than concentrating it in a handful of facilities — changes the economics of running AI in production for UK and international organisations.

Entrevista con John Bradshaw durante su visita a España, donde analiza el cambio de paradigma que supone el estallido de la IA: cómo el edge computing y la IA agéntica transforman la relación entre empresas y clientes, por qué los modelos especializados reducen costes frente a los grandes LLM, y por qué «la inteligencia artificial es tan buena, o tan mala, como los datos que la alimentan».

A feature on how generative AI is redrawing data centre design — from storage-led optimisation to power-hungry GPU compute and high-bandwidth interconnect — and the energy, permitting, and supply-chain constraints that come with it. John Bradshaw is quoted on why retrieval-augmented generation carries most enterprise workloads: cheaper, faster to deploy, no scarce ML engineering talent required, and proprietary data never touches a training pipeline.

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.

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.

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 shaping cloud and AI's future, balancing innovation with measurable business value.

Featured in the inaugural issue of SDxCentral Magazine, covering AI inferencing, edge computing, and the evolving cloud landscape in 2026.

John Bradshaw beschreibt vier Entwicklungen, die Cloud-Strategien 2026 prägen: KI-Agenten werden durch Verarbeitung näher am Edge zuverlässiger und latenzärmer, Budgetdruck erzwingt diszipliniertere und effizientere Innovation, vernetzte Ökosysteme brauchen hybride Verteilung zwischen Cloud und Edge, damit kritische Funktionen auch offline weiterlaufen, und Streaming-Plattformen setzen auf KI-gestützte Personalisierung bei gleichzeitiger Effizienzoptimierung.

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.

TechFromTheNet pubblica le previsioni cloud di Akamai per il 2026, firmate da John. I temi indicati a gennaio 2026: ROI più rigoroso sui progetti AI, agenti affidabili per le attività quotidiane, architetture ibride edge-cloud e consolidamento dello streaming intorno alla personalizzazione.

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.

Le previsioni cloud di Akamai per il 2026 sottolineano l'adozione dell'AI con responsabilità sul ROI, l'emergere di agenti AI affidabili per compiti quotidiani e le architetture ibride cloud-edge per garantire affidabilità quando i servizi falliscono. La fase di maturità privilegia efficienza dei costi e infrastrutture affidabili rispetto all'innovazione a ogni costo.

Data Center Dynamics profiles Untold Studios, the cloud-native VFX production company that has operated entirely on cloud infrastructure since 2018. John Bradshaw comments on Akamai's GPU-accelerated cloud offering for video processing and the unique location requirements of VFX workloads.

Edge-native applications represent a computing approach where data processing occurs at network endpoints closer to end users rather than in centralised cloud data centres, improving performance speed, operational efficiency, and security by reducing latency and data transmission needs.

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.

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.

John's October 2024 interview with TFiR on Akamai's Generalized Edge Compute (Gecko): where it had reached by then, and the phased rollout he described. The region counts in the conversation are the 2024 plan as it stood, not a current roadmap; managed containers and fleet management were the next waves he outlined.

John Bradshaw argues that edge computing transforms developer experience by letting programmers think of their workload as a fully distributed application — positioning larger components closer to end users and fundamentally changing how distributed systems are architected.

John's August 2024 interview with TFiR on the problems edge computing actually creates: distributed data gravity and workload orchestration. He argues the binding constraint is operator and developer experience rather than raw capacity, and sets out how Akamai approaches it.

John's August 2024 interview with TFiR on why latency is a partnership problem as much as an infrastructure one, with gaming as the worked example. He describes Akamai's position as an infrastructure provider whose traffic reaches consumers only through somebody else's product.

John's June 2024 interview with TFiR on Akamai's Generalized Edge Compute (Gecko) and the case for putting full compute, not just caching, close to users. The roadmap he previews — region count, managed containers, fleet management — is the 2024 plan as it stood at the time of recording.

Laura del Río entrevista a John para Computing España en junio de 2024: la estrategia cloud-to-edge de Akamai y qué cambia al acercar el cómputo al usuario final. Madrid era entonces una región reciente, y el plan de expansión que menciona es el vigente en 2024, junto a la IA y el Kubernetes gestionado.

John and Emil Novakov (Scaleflex) work through what omnichannel image and video delivery demands: transformation, caching, and the trade-offs in getting assets to web and mobile clients. Original recording of the April 2024 webcast on the Akamai EMEA BrightTALK channel.

Cloud-Computing hat sich von einem Trend zu einem omnipräsenten Infrastrukturelement entwickelt. Der Artikel untersucht, wie Cloud-Technologie, einst revolutionär, nun durch Edge-Computing und dezentrale Lösungen ergänzt wird — mit Einblicken von John Bradshaw, Akamai.

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 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 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.

ImpresaCity riprende le previsioni di Akamai per il cloud EMEA nel 2024, pubblicate a dicembre 2023: l'IA applicata all'automazione della gestione cloud, i costi di egress come ostacolo al multi-cloud, la sostenibilità dei data center e l'espansione dell'edge computing.

01net riprende le previsioni cloud di Akamai per l'area EMEA nel 2024, uscite a dicembre 2023: l'IA generativa che ridefinisce i ruoli degli ingegneri cloud, i costi di uscita come tema sempre più caldo, la sostenibilità fra le priorità e il calcolo che 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.