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Google Cloud: Helping Us Think About Infrastructure In A New Way (Part II)

Today's IT leaders are thinking about cloud infrastructure in a new way, with more sophisticated, ambitious, and business transformational goals around faster scaling and new revenue streams. My original post covered the ways in which Google Cloud Platform allows companies to maximize their solutions for scaling and innovating.

Today, I'd like to switch gears and focus on another transformational goal we see clients achieving with Google Cloud Platform: new revenue streams and service offerings.

70% of companies are making cloud investments to build a new product or serviceAccording to Deloitte's 2018 survey of companies' motivations and results for investment in cloud (specifically Google Cloud), 70% of companies making these investments were found doing so to innovate around a new product or service.

Projects like these tend to be on the leading edge of technology and the leadership within these clients are actively pursuing a ‘digital transformation’ agenda. As CTO of a Premier Google Cloud Partner and passionate about helping clients achieve their goals, here are some of my initiatives our clients are taking on:

  1. Pay-as-you-go service to give performance feedback from Machine Learning
    This company has data scientists who have created a TensorFlow model over many years that gives feedback based on digital video. Historically, the business model required their clients to sign-up for large scale packages to cover the high costs of their infrastructure. This restricted their target market to large enterprises. With the move to cloud, they are re-writing their pricing and customer products to enable a completely variable priced approach. They expect sales to increase an order of magnitude as a result of the lower price barrier and larger market.

  2. Data as a managed service
    This company was founded to provide a standard product catalog schema to support supply chains. As eCommerce has grown, their clients are interested in the schema and data evolving to support business to consumer processes beyond the original supply chain purpose. This ‘data as a managed service’ will be enabled by moving from a rigid database structure to a flexible one running on Datastore. As clients are driving this change, they expect this to completely transform their business models.

  3. In-store optimization
    Retail stores are using technology to fight back against the threat of ecommerce. One theme that keeps arising is the use of real-time streaming pipelines from their Point of Sales (POS) systems to in-store dashboards. One of our clients will be using this capability to gamify their store conversion rates each day. Real-time streaming pipelines are now a cost effective reality with Google Pub/Sub, Storage, and Apache Beam pipelines (Dataflow).

Projects like these are helping me expand my thinking on how cloud investments have bigger implications than simply moving workloads from on-prem to somewhere else. They are giving organizations the freedom to distrupt their industries without disrupting their business.

To expand your own cloud opportunity and discover the newest trends and solutions using Google Cloud, join Cloudbakers at Google Next '19 this April.

Google Next '19 | April 9-11

Originally published on February 15, 2019

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