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.
Videos
27 videos
2026 — 8 videos
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.
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.
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.
2025 — 12 videos
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.
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.
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.
2024 — 7 videos
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.
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.
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.