New research is surfacing that could provide a mathematical “crystal ball” to prevent and predict calamities.
See on www.datanami.com
“A lot of big data research is done in an isolated, one-shot, single-method manner with no way to assess, interpret or contextualize the findings,” she said. “There is great potential for error and misunderstanding; worse, with a lot of money flowing into this space, there is a lot pressure to produce “results” and overlook the fact that methods that were not developed to study humans, and do not necessarily work the same way, but are being applied widely.
See on sloanreview.mit.edu
Microsoft principal researcher Kate Crawford talks about the limits of big data in her talk she held at the Strata Conference She pointed out potential biases in data collection, questioned who may be excluded from it and also made a point about the constant need for context in conclusions.
See on blog.vint.sogeti.com
Lets assume that your entire organization had access to the following building blocks:
Data: All sources of data from the enterprise (at rest and in motion)Analytics: Queries, Algorithms, Machine Learning ModelsApplication Business Logic: Domain specific use-cases / business problemsActionable Insights: Knowledge of how to apply analytics against data through the use of application business logic to produce a positive impact to the businessInfrastructure Configuration: High scalable, distributed, enterprise-class infrastructure capable of combining data, analytics, with app logic to produce actionable insights
Imagine if your entire organization was empowered to produce data-driven applications tailored specifically for your vertical use-cases?
See on jameskaskade.com
by Anjul Bhambhri.
Expert integrated systems are far more than “just an appliance.” These systems can incorporate several major components designed to allow businesses to reduce the high costs and increasing complexity associated with managing information technology:
1. “Scale-In” System Design.
2. Patterns of Expertise.
3. Cloud Ready integration.
4. Integrated management for maximum administrator productivity.
As workload-optimized systems, these solutions embed integrated expertise patterns that help automate and optimize the work of human administrators.
See on www.dataversity.net