How to Grow Your Cloud Business with Data Services

Today, data is flowing into businesses from a wide variety of sources and formats. But, as data volumes grow, managing, governing, and extracting its value is becoming increasingly complex. To stay ahead of the curve and be the first to market, organizations must access the data and insights they need to deliver new products, services, and applications.

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:

  1. Storage-as-a-Service (STaaS)
  2. Database-as-a-Service (DBaaS)
  3. 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.

Grow your cloud services business with data services. Discover how you can elevate your cloud services and generate new revenue streams with Intel’s Data Services eGuide for CSPs.

Enabling Global Interoperability

Intel worked with China Mobile (CMCC) and Ericsson to successfully conduct the first live 3GPP-compliant Standalone (SA) 5G New Radio (NR) interoperability tests at Ericsson Lab in Beijing, China. Learn more about how Intel is enabling global interoperability.

See how

Driving 5G Innovation in Trials

Intel® 5G Mobile Trial Platform is providing the foundation for key trials around the world, achieving a number of industry “firsts". From the first 5G NR IODT to the first broadscale 5G network powered by Intel 5G technology at the Olympic Winter Games Pyeongchang 2018, Intel is accelerating the launch of 5G commercial solutions.

Learn more

Accelerating 5G Modem Solutions

The Intel® XMM™ 8160 5G modem, a multimode modem supporting 5G NR and legacy modes in a single chipset, will enable device manufacturers to design smaller and more power-efficient devices—and support broad 5G global rollouts.

Learn more

Leading Standards & Collaboration

Intel participates in hundreds of standards and industry groups worldwide, with leading positions in the ITU, 3GPP, ETSI, IEEE, and Wi-Fi Alliance, as well key vertical industry associations. Intel played a critical role in the finalization of the 5G NSA/SA NR standards.

Learn more

Cloud Service Provider Resources

Stay ahead of a fast, steep technology curve and increasing competition through differentiation and agility.

Explore CSP resources

Cloud Data Services

Open new revenue streams by helping your customers derive maximum value from their data.

Watch the video

Product and Performance Information

1Forrester (2017) Predictions 2018: The Honeymoon for AI Is Over