#cloud

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».

DPP analyst report examining the evolving relationship between technology vendors and content companies, asking whether suppliers are keeping up or whether the gap is growing. Built from DPP workshops and conversations at NAB 2026, the report highlights three key demands: cloud repatriation, security and trust, and the shift from meeting to live. John Bradshaw is cited among the industry contributors.

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.

Digital-native companies are reconsidering their dependence on hyperscalers due to escalating expenses, vendor lock-in, and suboptimal performance. Examines how distributed cloud methods can provide greater operational flexibility and cost reductions.

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.

John Bradshaw, Field CTO Cloud EMEA at Akamai, unpacks a counterintuitive principle for modern cloud strategy — plan your exit before you plan to start — and argues that core-and-edge architecture combined with strategic clarity on business goals is what keeps organisations cost-aware and free from vendor lock-in.

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 argues that major cloud outages reveal design failures, not just technology failures, and explains how abstraction across multiple providers creates true resilience rather than dependency on a single cloud's availability guarantees.

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.

John Bradshaw argues the economics of hyperscale AI models don't stack up for most enterprise use cases, and makes the case for domain-specific and small language models running closer to users — trading raw parameter count for cost efficiency, latency, and fit-for-purpose outcomes.

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.

John Bradshaw challenges the assumption that cloud is inherently cost-effective, exploring how organisations can build cost-intelligent architectures and adopt the principle of planning an exit before committing to a cloud vendor.

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.

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.

TechRadar Pro's coverage of the CMA's move to designate the largest hyperscalers with strategic market status under the DMCC Act, and the vendors' pushback. John Bradshaw is quoted on why consolidation drives up cloud bills — egress fees for switching, long lock-in periods — and argues UK businesses under cost pressure need it to be easier to switch providers and find pricing that fits their balance sheets.

John Bradshaw, Akamai's Director of Cloud Computing Technology and Strategy EMEA, is featured in this examination of the critical security challenges CISOs face in multi-cloud environments, with a focus on achieving consistent security policies while maintaining platform interoperability and data portability.

The DPP's Cloud Native Distribution report — the first part of a follow-up to its 2021 Cloud for Media series — discussed by its author and six industry contributors. DPP CEO Rowan de Pomerai explores how cloud is reshaping media distribution well beyond streaming: personalised content delivery, advertising strategy, and the challenge of keeping pace with shifting viewer expectations and new technology. John Bradshaw, who wrote the report's foreword, joins from 22 minutes in.

On-demand webinar exploring how organisations can leverage observability as a strategic business tool rather than purely an IT function, driving growth, improving resilience, and aligning observability metrics with core business KPIs.

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.

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.

John Bradshaw discusses how nearly all Akamai clients have migrated workloads to the cloud, explains the distinction between operating in a 'multiple cloud' world versus true multi-cloud, and outlines how Akamai's open-source, CNCF-certified platform addresses vendor concentration risk.

Entrevista con John Bradshaw sobre la adopción del cloud y las estrategias multi-cloud. Bradshaw explica cómo Akamai aborda la complejidad del multi-cloud con una plataforma open-source y portable, y detalla por qué el riesgo de concentración en un solo proveedor es la principal razón para adoptar una estrategia multi-cloud.

Interview avec John Bradshaw sur l'adoption croissante du cloud et les stratégies multi-cloud. Bradshaw souligne que le risque de concentration est la raison principale pour laquelle les entreprises choisissent une approche multi-cloud, et présente l'approche open-source d'Akamai pour naviguer cette complexité.

TechFromTheNet riprende le previsioni cloud di Akamai per l'Italia nel 2025, con John fra le voci citate. Le tre tendenze indicate allora: ottimizzazione dei costi, l'IA al centro delle operazioni cloud e un'adozione crescente di modelli ibridi fra 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 individua tre tendenze chiave del cloud per il 2025: l'attenzione crescente ai costi cloud, l'AI come motore principale delle operazioni e l'adozione del modello ibrido. Per l'Italia, l'integrazione fra AI, cloud distribuito e sostenibilità energetica resta la sfida dominante.

John Bradshaw identifica le tre tendenze cardine del cloud computing per il 2025: pressione sui costi, integrazione dell'AI e adozione del cloud ibrido. Le imprese italiane affrontano sfide distinte nel bilanciare l'implementazione dell'AI con la sostenibilità energetica e la compliance normativa, gestendo al contempo il divario di competenze tecniche.

Data Manager riprende le previsioni cloud di Akamai per il 2025, firmate da John: ottimizzazione dei costi, integrazione dell'AI e sostenibilità. Uscite a fine 2024, guardano alle imprese italiane che bilanciano competitività digitale e responsabilità ambientale mentre gestiscono carichi AI energivori.

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.

Original recording of the Cloud Spend Conundrum webcast on the Akamai EMEA BrightTALK channel. John Bradshaw is joined by Ben Cole (TechTarget) to unpack why cloud costs spiral and what FinOps and governance practices can bring them back under control.

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.

An examination of the trade-offs between serverless and serverful computing approaches in modern cloud environments, exploring the infrastructure management decisions organisations must consider when building their cloud strategy.

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 Bradshaw analiza las ventajas e inconvenientes de los modelos cloud-only y on-premise, escrito en el contexto de DCD>Connect Madrid 2024. Examina cómo las organizaciones pueden equilibrar flexibilidad, costes de salida y requisitos regulatorios en su estrategia cloud.

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, 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.

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.

Veronica Balocco, sul Corriere Comunicazioni a fine 2023, raccoglie le previsioni del settore per il 2024, Akamai fra le fonti. Il tema: cosa comportano l'AI e l'automazione dei compiti ripetitivi — più tempo per i professionisti tech da dedicare alla progettazione invece che al lavoro di routine.

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.

Rosalía Arroyo recoge en CiberseguridadTIC, en diciembre de 2023, la previsión de Akamai sobre los costes de salida de la nube en 2024. John comenta cómo la IA generativa estaba transformando los roles de ingeniería cloud, y la importancia de la sostenibilidad y de acercar recursos al edge.

Named in CIO Review Europe's Top 10 Cloud Tech Leaders in Europe 2023 list, recognising leadership of the Cloud Hub at WPP, the global marketing and communications group.

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.