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.
John Bradshaw
50 pieces under this byline — 01net , Akamai , Akamai EMEA (BrightTALK) , BitMat , BrightTALK (Channel 17473) , CloudComputing Insider , Computer Weekly (BrightTALK) , Computer Weekly / TechTarget (BrightTALK) , Cybersecurity360 , Data Center Dynamics , Data Manager Online , Dataprix , DPP (Digital Production Partnership) , LineaEDP , Revista Cloud Computing , SDxCentral , Taipricebook , TechFromTheNet , TechRadar , TFiR
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.
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.
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.
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.
Le previsioni di Akamai per il cloud nel 2026: una fase di maturità guidata dall'AI con attenzione rinnovata a costi, affidabilità e fiducia digitale. Fra i trend chiave: ROI più rigoroso sui progetti AI, agenti AI affidabili per le attività quotidiane, architetture ibride edge-cloud e consolidamento delle piattaforme di 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.
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 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 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.
Akamai presenta tre trend chiave per il cloud nel 2025 attraverso la voce di John Bradshaw, Director of Cloud Computing Technology and Strategy EMEA: ottimizzazione dei costi, integrazione dell'AI e sostenibilità come forze trainanti. Le imprese italiane bilanciano competitività digitale e responsabilità ambientale gestendo 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.
On-demand webcast exploring strategies for controlling escalating cloud costs as organisations scale. John Bradshaw joins Ben Cole (TechTarget) to discuss FinOps practices, cloud cost governance, and the hidden expenses that cause cloud budgets to balloon beyond initial estimates.
Simulcast of the Cloud Spend Conundrum webcast on the Computer Weekly / TechTarget BrightTALK channel. John Bradshaw and Ben Cole (TechTarget) cover FinOps disciplines, cost visibility, and practical techniques for reigning in runaway cloud expenditure.
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 Bradshaw walks through the phased rollout of Akamai's Generalized Edge Compute (Gecko) — 25 regions imminent, 75 more to follow — and outlines the next waves of managed containers and fleet management designed to let developers run workloads close to users globally.
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 Bradshaw discusses the operational and architectural challenges of edge computing — from distributed data gravity to workload orchestration — and how Akamai is simplifying the landscape for operators and developers to keep workflows seamless.
John Bradshaw explains how Akamai's industry partnerships bring data and compute closer to end users — using gaming as the canonical low-latency example — and why the company facilitates billions of interactions a day without ever touching the consumer directly.
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 Bradshaw unpacks Akamai's Generalized Edge Compute (Gecko) platform — bringing full compute within milliseconds of users worldwide to power complex workloads and edge inference — and previews the 2024 roadmap spanning 100 regions, managed containers, and fleet management.
Simulcast of the Scaleflex webcast on the Computer Weekly / TechTarget BrightTALK channel. John Bradshaw joins Emil Novakov (Scaleflex) to explore how organisations can deliver media assets quickly and securely across multiple channels using Akamai's edge and CDN capabilities combined with Scaleflex's digital asset management platform.
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.
Original recording of the Scaleflex webcast on the Akamai EMEA BrightTALK channel. John Bradshaw and Emil Novakov (Scaleflex) discuss how Akamai and Scaleflex together enable fast, secure delivery of images and videos across web, mobile, and other digital touchpoints.
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.
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.
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.