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Watson Crowdsources Cloud Computing

Transformation Network

By pwsadmin | May 15, 2021

The Achilles heel of every transformative business model is their reliance on ever increasing amounts of data that need to be transported quickly across wide area networks and processed at edge computing end points. To meet this expected demand, the global telecommunications industry is rapidly moving toward a future in which networks must have the…

Essential Characteristics of Cloud Computing as Digital Transformation

By pwsadmin | May 15, 2021

Hybrid IT blends traditional datacenters, managed service providers, and cloud service providers to deliver the necessary mix of information technology services. This IT consumption model enables a composable infrastructure which describes a framework whose physical compute, storage, and network fabric resources are treated as services. Resources are logically pooled so that administrators no longer need…

Transformation Innovation

By pwsadmin | May 15, 2021

4 Factors Driving Digital Transformation ROI The critical assessment factors for cloud ROI risk probability are the following:      Infrastructure utilization Speed of migration to cloud Ability to scale business/mission processes Quality delivered by the new cloud-based process  These four factors directly drive digital transformation ROI because they affect revenue, cost, and the time required to…

Transformation Frameworks

By pwsadmin | May 15, 2021

Digital transformation necessitates changes in an organization’s operational processes. According to Harvard, a focus on operations can lead to business process optimization and entirely new revenue streams. Three common routes for this are the following:      Robotic process automation (RPA) which uses artificial intelligence to automate routine activities      Remote worker enablement that uses workspace virtualization and…

Transformation Infrastructure

By pwsadmin | September 26, 2020

Hybrid IT enables a composable infrastructure which describes a framework whose physical compute, storage, and network fabric resources are treated as services. Resources are logically pooled so that administrators need to physically configure hardware to support a specific software application, which describes the function of a composable architecture. This type of transformative infrastructure is foundational…

Essential Characteristics of Cloud Computing as Digital Transformation

By pwsadmin | September 25, 2020

A survey of 2,000 executives conducted by Cognizant in 2016 identified the top five ways digital transformations generate value:      Accelerating speed to market      Strengthening competitive positioning      Boosting revenue growth      Raising employee productivity      Expanding the ability to acquire, engage, and retain customers   Digital transformation is also a cultural change. Cloud Computing as Digital Transformation Since cloud…

Embrace Transformation

By pwsadmin | September 22, 2020

From a business perspective, differentiating business processes and quality customer service are central to overall success. Business leaders must therefore clearly identify and measure how information technology contributes to the value of every key business process. They must also know how to most cost effectively use IT when the task is merely the management of…

Computer Vision Advances Zero-Defect Manufacturing

By pwsadmin | July 25, 2020

by Kevin L. Jackson Electronics manufacturers operate in a challenging environment. It’s hard enough to keep up with the ever-accelerating rate of change in the industry. Now customers want increasingly specialized product variations in less time and of higher quality. Meeting this demand for increased product variation can seriously impact the bottom line. Such variability increases…

Real-Time Analytics Power the Roadway of the Future

By pwsadmin | July 25, 2020

By Kevin L. Jackson The complexities of citywide traffic are pushing the limits of existing transportation management systems. Outdated infrastructure is based on proprietary, single-purpose subsystems, making it costly to acquire, operate, and maintain. And current roadways are simply not prepared for the future of autonomous vehicles. Enter the SPaT Challenge, an initiative encouraging cities and…

Thriving on the Edge: Developing CSP Edge Computing Strategy

By pwsadmin | March 6, 2020

Communications Service Providers (CSPs) are facing significant business model challenges. Referred to generally as edge computing, the possibilities introduced by the blending of 5G networks and distributed cloud computing technologies are redefining how CSPs operate, partner, and drive revenue. A new Ericsson Digital whitepaper entitled, “Edge computing and deployment strategies for communication service providers,” addresses these challenges…


Recently I’ve been doing quite a bit of analysis work using the IBM Watson cognitive business platform. The really exciting thing about this opportunity is the way data can seem to have a conversation with you.  This got me wondering if social media data could carry on a conversation as well.  Given my almost unhealthy interest in cloud computing, we ran a one week experiment to “crowdsource the internet” in order to see if it held any interesting cloud computing insights . To narrow the volume of documents down to a reasonable number, I limited providers to those on the most recent Gartner IaaS Magic Quadrant:
  • Microsoft
  • Amazon Web Services
  • Google
  • VMware
  • IBM
  • Rackspace
  • Verizon
  • CSC
  • Interoute
  • CenturyLink
  • Dimension Data
  • Fujitsu
  • Joyent
  • NTT Communications
  • Virtustream

Leveraging Watson, I gathered cloud computing related social media documents. According to Watson, in one 24-hr period, there were 46,869 documents that mentioned these Cloud Service Providers (CSP) a total of 57,997 times. Google was totally dominating the online conversation with 73% of all mentions. Microsoft was a poor second at 17%.

Figure 1- Social media cloud computing “Share of Voice”
At this this point I took a look at overall industry sentiment. From this vantage point, Interoute outshines all rivals for positive sentiment.  Of particular note, however, was that Dimension Data simultaneously held the crown for largest percentage of negative and lowest percentage of positive sentiment (which seems to be centered mostly around the dropout of a rider from its Tour de France team and a recent internal restructuring). The Dell/EMC cloud provider Virtustream doesn’t even seem to be present in social media conversations. 

Figure 2– Customer Sentiment Regarding Cloud Service Providers
Figure 3 – Cloud Service Model “Share of Voice”
Microsoft dominated that segment of the conversation that specifically addressed the three standard cloud computing service models (Infrastructure-as-a-Service [IaaS], Platform-as-a-Service [PaaS], Software-as-a-Service [SaaS]). Over 53% of the working set referenced Microsoft with second place AWS coming in at 13.5%. Software-as-a-service is the unsurprising overall service model leader but Microsoft seems to be edging out AWS for Infrastructure-as-a-Service mentions.  Platform-as-a-Service is a distant laggard with only three providers (Microsoft, AWS and VMware) represented in social media exchanges.


Figure 4– Industry Vertical Cloud Computing “Share of Voice

In order to glean some business value, the documents were binned across thirteen industry verticals and analyzed for share of voice and author sentiment. The initial industry bins were:

  • Construction
  • Manufacturing
  • Wholesale trade
  • Information technology
  • Retail trade
  • Utilities
  • Financial services
  • Educational services
  • Transportation and warehousing
  • Entertainment, accommodation, and food services
  • Healthcare and social services
  • Public administration


Across this set, entertainment, government, education and healthcare industries seem to be most interested in the cloud. Surprising to me is that the construction industry interest surpasses that of financial services. Google seems to be driving industry related social media conversations with Microsoft and IBM rounding out the top three.


Although I wouldn’t use this non-scientific experiment to make any big bets, it does demonstrate how actionable data can be gleaned from the social media stream.  It may also shed a little light on the power of cognitive computing in the business world.

One especially intriguing capability that I didn’t use in this experiment is the use of Watson Explorer technologies with Semantic Analytics.  This solution is currently being used by IBM GTS to deliver “built to purpose” cognitive systems for the information technology industry vertical.
Figure 5– Cloud Service Provider Industry “Share of Voice

A key differentiator of this approach is its ability to extract meaning from the fragmented sentences normally found in unstructured IT service ticket description fields. Due to the global nature of GTS Services, this unstructured text is typically in multiple languages. Additionally, due to the different language skill levels of the globally sourced pool of agents, the grammar quality varies. This solution is used by GTS to uncover patterns and trends in the identification of contributing incident causes in order to prescribe appropriate preventative actions.


The digital transformation couple with cognitive computing is accelerating almost every industry. In the IT world, at least, cognitive computing promises to deliver the ability to bridge the gap between unstructured language data and effective maintenance action by correlating social media chatter and customer sentiments with the root causes of operational IT issues.


This post was brought to you by IBM Global Technology Services. For more content like this, visit Point B and Beyond.

Cloud Musings

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