Does your business want to become successful at facial recognition? As the rise of cloud computing has enabled faster and cheaper data processing, businesses are racing to harness the power of artificial intelligence -- via machine learning -- to understand data. But with Amazon, Google, Microsoft, IBM, and others offering similarly-priced machine learning platforms for the enterprise, it's often difficult to know where to begin. Amazon Machine Learning (AML) offers companies an easy, highly-scalable on-ramp for interpreting data. Under the umbrella of Amazon Web Services (AWS), launched in 2006, AML offers visual aids and easy-to-access analytics to make machine learning accessible to developers without a data science background, using the same technology fueling Amazon's internal algorithms. It requires little in terms of hardware or software investment, and has a pay-as-you-go model.

Google is investing significantly in artificial intelligence to power its search engines, and on Monday it announced how it's applying those investments to the enterprise sphere. At its global enterprise event series, Google Atmosphere, in Tokyo on Monday, Google executives unveiled Google Springboard, a new app that helps users find the information they need more efficiently. It also assists users by proactively providing "actionable" information and recommendations, Prabhakar Raghavan, vice president of engineering for Google Apps, said in a blog post. Raghavan noted that according to a McKinsey survey, the average knowledge worker spends the equivalent of a full day a week searching for and gathering information. Meanwhile, Google on Monday also announced a redesigned version of Google Sites, one the most popular products for enterprise customers.