GOTO Accelerate London 2016
2016-11-17
London, United Kingdom
who it's for
engineering managers, product managers, chief technology officers, innovation managers, software architects, data engineers, design leads
topics
zone management for transformation; component evolution mapping; anchor user need mapping; microservices and org-driven architecture; developers on-call practices; product life cycle governance; 70/20/10 innovation portfolio; small experiment funding limits; data monetization from logs; sensorized IoT fleet optimization
| title | author | length |
|---|---|---|
| Zone To Win | Geoffrey Moore | 58m |
Introduces Zone management: four zones — performance Zone, productivity Zone, incubation Zone and a temporary transformation Zone — and argues a successful… | ||
| Situation Normal, Everything Must Change | Simon Wardley | 44m |
Argues that strategy requires visual, position-and-movement maps not buzzword lists, and gives a concrete mapping method: start with anchor user need, trace… | ||
| It's Simple... | Adrian Cockcroft | 36m |
Argues that breaking monoliths into microservices reduces overall complexity by enforcing interfaces, cites Netflix OSS and an org-driven architecture, reports… | ||
| Business 4.0 | Ade McCormack | 52m |
Argues that digital is an anthropological return to mobile, social, work‑life integrated human behavior and that firms must become a polymodal portfolio of… | ||
| Principles & Practises | Sonja Kresojevic | 37m |
Pearson codifies a six‑stage product life cycle tied to clear go/no‑go criteria, abandons upfront business cases in favor of incremental thresholds (early… | ||
| Why Join Us? | Søren Brogaard | 01m |
Conference program offers concrete methods to turn collected logs into revenue: case studies of products that added paid features from usage signals, workshop… | ||
| Data as a Creative Raw Material: the Fusion of Design, Data & Science | V. Venkatraman | 42m |
Shows concrete projects: a ship-tracking system that sensorizes vessels, ingests legacy noon reports and runs optimization models that can cut fuel costs by… | ||
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