Why AI needs the cloud

Although the power of machine learning grows as more data becomes available, and we are generating new data at an astounding rate, we are far from putting this data to good use. By some analyst estimates, we may be capturing only 20 to 30 percent of the value of our manufacturing data, 10 to 20 percent of the value of public sector data (European Union), and 10 to 20 percent of the value of our healthcare data (United States).[1] 

In every industry, the barrier to capturing the full value of data is nearly the same. Data is locked away in silos. Getting a machine to spot meaningful insights typically takes a lot of processing power and data storage capacity. And the enterprise has yet to be shown a convincing demonstration of the data’s potential. 

These are all challenges that can be met with the proper deployment of cloud technology. The cloud is the fastest and least expensive way to integrate data. The cloud brings sophisticated algorithms, fast computing platforms and massive storage capacity within reach. It lowers the barrier to adoption and makes it easier for enterprises to get their feet wet with inexpensive experiments. Cloud services make it easier to build compelling applications quickly by delivering in small, meaningful chunks. 

How to use the cloud to build a smarter enterprise

The cloud is also what will enable AI to become a ubiquitous and essential part of business operations. By bringing data together in the cloud, which is emerging as the future platform for the intelligent enterprise, algorithms trained by faster, smarter data will play a key role in enterprise transformation.

Continue reading the position paper, Transform to a modern enterprise with hybrid IT.