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'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.
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.