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From the widespread use of secure, off-site data storage, to the growing digitization of business communications, cloud computing is an increasingly ubiquitous feature of modern business. Examples of cost management software include in-platform cost optimization modules like GCP Billing and AWS Cost Explorer.
Data visualization : Create clear and impactful visualizations ( charts , graphs, dashboards ) to communicate data findings effectively to both technical and non-technical stakeholders. Create compelling reports, dashboards, and presentations that effectively communicate findings to stakeholders.
Data scientist’s main responsibilities The three responsibility pillars of a data scientist encompass Data Acquisition and Engineering, Data Analysis and Modeling, and Communication and Collaboration. Feature Engineering : Data scientists transform raw data into features that are informative for machinelearning models.
Communicate their findings to others. You’ll also need to be able to think critically and communicate complex information to non-technical audiences. Design, develop, and implement machinelearning models and statistical analyses to extract meaningful patterns and trends. Develop models to predict future outcomes.
Alison Wagonfeld is the Chief Marketing Officer for Google Cloud. She’s responsible for both GCP, which is the Google Cloud Platform and for G-Suite, which is Gmail, Calendar, Sheets, Docs, all the stuff that we all use everyday. Now, without further ado, my interview with Alison Wagonfeld, CMO of Google Cloud.
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