Context Brokering Workshop 2018
The right data in the right context May 20, 2018
Context brokering is touted as the future of analytics. Context enriches data, context can make a difference between white noise and meaningful insight.
The context brokering market emerges from an obscure niche data analytics segment to a full blown market by itself, combining an impressive set of multidisciplinary technologies and taking data analytics to another dimension. The context brokering market will grow globally at a double digit rate in the next few years, forecasts a new market study Context Brokering Market published by Market Research Media. Intelligence Community were the first to realise power of fusion analytics, social media warriors constantly watch the Net armed with just two major tools – context (context is the king) and OSINT.
The Context Brokering Workshop aims to teach business intelligence professionals how to contextualise exponentially increasing data flows in order to generate meaningful insights. What is the optimal architecture of Context Aware Systems? How to find the right balance between CIP (Context Information Provider), CIA(Context Information Aggregator, not Central Intelligence Agency with all due respect to Intelligence Community) and CIB (Context Information Broker)? How to integrate, aggregate and manage context and data from multiple APIs? The Workshop will answer these and many other questions.
Case Study “Context Brokering for Image Retrieval System”
How a leading photo agency uses context brokering to effectively search, retrieve and deliver stock photos to media channels.
Context Brokering Workshop is perfect for data analysts, data scientists, BI professionals and marketing researchers. This workshop will equip decision makers with the context awareness hands-on skills and best practices and best-of-breed tools to run efficient context-aware data analysis.
“The perceptual smart machine age: Smart machine technologies will be the most disruptive class of technologies over the next 10 years due to radical computational power, near-endless amounts of data, and unprecedented advances in deep neural networks that will allow organizations with smart machine technologies to harness data in order to adapt to new situations and solve problems that no one has encountered previously. Enterprises that are seeking leverage in this theme should consider the following technologies: Smart Dust, Machine Learning, Virtual Personal Assistants, Cognitive Expert Advisors, Smart Data Discovery, Smart Workspace, Conversational User Interfaces, Smart Robots, Commercial UAVs (Drones), Autonomous Vehicles, Natural-Language Question Answering, Personal Analytics, Enterprise Taxonomy and Ontology Management, Data Broker PaaS (dbrPaaS), and Context Brokering.”