Using sentiment analysis and machine learning

Comparing Machine Learning through BBC News Analysis

Leveraging machine learning (or artificial intelligence) capabilities for your application is easier than it ever has been. The major cloud computing providers offer these capabilities in an easy to consume manner, so you can start building applications quickly.

However, did you know the actual results across the providers can vary greatly?

I decided to build a demo application that uses two machine learning capabilities to analyze BBC News articles and compare results across the big three cloud providers: Amazon’s AWS, Microsoft’s Azure and Google’s Cloud Platform.

You can try the application yourself here.

What is Machine Learning?

Machine Learning (ML) is a branch of Artificial Intelligence (AI), although often the terms are used interchangeably. It describes the ability of computers to “learn” how to perform an action, without being explicitly told how to do it, as would have been the case for computers in the past.… Read the rest

The First Step to Enabling Cloud Arbitrage

With most companies in the early days of cloud migration, the idea of achieving cloud arbitrage – dynamically shifting workloads across clouds to leverage relative price and performance advantages – can seem pretty daunting.  Let’s look at the typical road to cloud adoption, then I’ll explain the first thing you’ll need to do to effectively achieve cloud arbitrage.

Most enterprises are still in the first stage of cloud migration: moving to a hybrid cloud architecture – augmenting their on premises datacenters with public cloud services. This can entail migrating some applications to the cloud in their entirety, distributing data collection activities to the cloud while keeping core processing in the datacenter, or pushing overflow workloads to the cloud during periods of peak activity, called cloud bursting.

Somewhere along the way, most companies realize they don’t want to be locked in to one cloud so they build and connect applications in a cloud-agnostic manner.… Read the rest