This is a challenge for enterprises but a potential opportunity for cloud service providers (CSPs)
CSPs can empower business users to take control of complex data systems and harness data-intensive technologies such as artificial intelligence, machine learning, virtual reality, and augmented reality to drive improvements.
As a result, CSPs are in a unique position to provide new, revenue-generating data services to their customers, allowing them to support businesses trying to tackle their data influx.
The current situation
Many businesses are seeking to capitalize on the data opportunity as they undergo digital transformation. But according to research, the majority of enterprises are dealing with a stark reality: Extracting transformative business value from machine learning, deep learning, and large data sets requires more resources, experience, and work than companies have invested in previous years.1
How CSPs are bridging this gap
The question for CSPs is how to proceed. How do you capitalize on the need for businesses to simply and securely collect, store, and analyze data at a massive scale?
Every corporate cloud implementation strategy or use case comes with its own unique aims, challenges, and set of requirements. It can be helpful to ask yourself what type of solutions your customer base will find most useful, and generate a unique set of data services offerings tailored to your customers’ needs.
No matter what their size, ambitions, or level of data maturity – your customers are likely to benefit from access to three types of data services:
- Storage-as-a-Service (STaaS)
- Database-as-a-Service (DBaaS)
- Big Data-as-a-Service (BDaaS)
We’ve evaluated each data service as a potential opportunity for CSPs and highlighted the next steps and technology considerations the services require. Read Intel’s latest eGuide to discover how you can help your customers achieve their data goals.