Unilever is exploring artificial intelligence as a way for marketers to make sense of data and make their activity more relevant to consumers.
Big data technologies and practices are moving quickly. Here’s what you need to know to stay ahead of the game…. With so many emerging trends around big data and analytics, IT organizations need to create conditions that will allow analysts and data scientists to experiment. “You need a way to evaluate, prototype and eventually integrate some of these technologies into the business,” says PwC’s Chris Curran.
Many successful application programming interface initiatives start with the goal of unlocking data that is protected by traditional Web or perimeter-based access controls. Although those back-end applications were designed to address a business problem, over the years they have evolved into monolithic, complex and unmanageable applications.
IT professionals can create security and access models that transform APIs from unwieldy legacy apps to self-defending services.
Dynomite has the potential to offer server-based sharding and replication for any datastore, as long as a proxy is created to intercept the desired API calls.This initial version of Dynomite supports Redis and Memcahed sharding and replication in clear text, backups and restore. In the next few weeks, we will be implementing encrypted inter-datacenter communication. We also have plans to implement reconciliation (repair) of the cluster’s data and support different read/write consistency setting, making this an eventually consistent datastore.
Fraud and Financial crime are as much a deep social phenomenon as aspects of financial transactions gone awry. The application of social network analysis is able to provide deep insights to detect and prevent tangled and complex cases of fraud.
Some companies really get big data. Not only do they realize size matters – they understand you also have to know what to do with it. Here’s a list of seven companies I think are at the top of the game, when it comes to cutting-edge use of data to strategically achieve business goals.