Google Cloud Changes in the Wake of Enterprise-Level Computing Transformation

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Google Cloud Changes in the Wake of Enterprise-Level Computing Transformation

Take a look at some of the technical and business changes that Google is making to keep up with the enterprise cloud world.

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It wouldn’t be wrong to state that the cloud computing arena has evolved beyond human contemplation over the past decade with companies usually at loggerheads when it comes to putting forth the first piece of technological innovation. Be it making development tools available for the users or increasing the efficacy of cognitive functions and machine learning principles, PaaS or Platform-as-a-Service has taken center-stage in this cloud-driven market. That said, at present, the competition has settled between Microsoft Azure, Google Cloud, IBM Cloud, and AWS, in regard to Enterprise-level cloud computing and other relatable strategies pertaining to digital transformation.

While AWS keeps leading the market with pioneered innovations, Microsoft has caught up courtesy of its pivotal role in the development of enterprise computing and IaaS offerings with the 365 Suite helping clients manage workloads with ease. IBM has also made a name for itself with a rich vein of security services, leaving Google anxious for necessary changes.

In the subsequent sections, we shall focus specifically on Google’s Cloud business unit and what changes have been taken into account in regard to its cloud strategy pillars.

Google’s Approach Towards Better Enterprise-Level Cloud Computing

Before we actually start talking about the changes, it is important to take a note of Google’s new approach towards the cloud computing transformation. To begin with, the focus is on smart analytics collaboration, artificial intelligence, data management, and cognitive services. When it comes to ascertaining the existing industry verticals that would be targeted, Google Clouds enlists communications, public sector, retail, manufacturing, entertainment, and healthcare as the focal points. The approach, however, would focus on simplifying the vision and make it easier for the company to cater to the existing client base. In simpler words, a better approach can be expected in regard to acquisitions and roadmaps.

Rendering Clarity and Simplicity to Customer Touch Points

The first change would be to streamline the business processes by launching contract conditions, new subscription models, and feasible pricing modules, and compliant certifications. This ramification makes it considerably easier to purchase services and products from the cloud while minimizing the contract approval time. This change in Google Cloud typically aims at catering to a diverse set of customers while taking diverse touchpoints into consideration.

Identifying IT Ownership in Regard to AI Services

Artificial Intelligence holds a pivotal position in cloud computing and Google realizes the importance by implementing a change that would help individuals identify IT ownership, in regard to the specific AI service framework. Enterprise customers will now be able to detect the specific AI framework that makes changes to the cloud, precisely by adding trains, data, and other entities to the cloud.

Minimizing Risk

This step aims at addressing the aspect of multi-cloud adoption, as preferred by a majority of enterprise-level customers. In most cases, customers prefer using diverse cloud hierarchies for addressing off and on-premise requirements. Google Cloud, however, has been supportive of this multi-cloud adoption but has always looked to minimize migrating risks via the dependable Project Anthos. With diverse open-source technical innovations added to the fore, including the likes of Knative, Isito, and Kubernetes, it becomes possible for Google to enable a consistent migration between cloud environments and on-premise functionalities. In simpler words, this change makes sure that customers can seamlessly transfer workloads across public and private clouds without having to worry about the risks. Therefore, it wouldn’t be wrong to infer that Google has made it easier for the best trading software developers and other online businesses to incorporate multi-cloud strategies and hybrid applications by segmenting workloads and mitigating threats.

Creating an Efficient Partner Strategy

In order to gain popularity, Google has decided to improve its existing framework by keeping channel partners in the loop. This signifies that Google has expanded its repertoire, go-to marketing sphere, and the sales organization. The most rewarding step, therefore, has been the introduction of the "Partner Enablement" program, focusing precisely on certifications, partner portal, and segregated tiers. To simplify things further, this Google Cloud innovation aims at offering best-in-class industry solutions and co-operative platforms for even the channel partners to work in cohesion.

Delivering Innovation

The biggest and the most significant change has been the adoption of a Machine Learning hierarchy which aims at delivering codeless Artificial Intelligence services to the enterprise customers, host of security innovations, global outreach, minimized application latency, and demographic expansions. Google Cloud, at present, makes room for increased networking choices, managed online traffic x control, better vulnerability scans, API security, binary authorization, and even cloud audits for handling the essential aspects of security threats and data privacy.


Most of the proposed changes have started to show that Google aims at overcoming the perceptional challenge that has been plaguing it for so long. Going into the future, Google aims at targeting the enterprise-level customers by emphasizing more on service and security control. However, as the cloud computing trends are still in stages of infancy, Google Cloud can readily pitch itself ahead of its competitors by focusing on the newest wave of cloud computing, emphasizing advanced analytics and integration insights.

cloud ,google ,enterprise cloud ,ai ,risk management

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