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Episode 3: How telematics leader Geotab powers innovation with BigQuery

In this episode, Bruno revisits Geotab, a software-as-a-service-company that specializes in connective commercial vehicles and fleet management, to dig deeper into their data journey. Bob Bradley, Associate VP of Data and Solutions, shares the company's staggering growth (from 400,000 vehicles to well over 2 million in just 5 years) and how Google Cloud has helped them to keep up and stay ahead of the competition.

The 7 Ts of product-Led Transformation

Transformation is a word that isn’t commonly favored by the product community. Why? Because transformation programs rarely allow product teams to autonomously decide how they will achieve their mission. Transformation programs also incur significant costs. According to CIO Magazine, global spending on digital transformation technologies and services was US$1.3 trillion in 2020, of which 70% of that spend is wasted. That is approximately $900 billion.

How Data & AI Can Help Make Utility Line Inspections Safer

Electricity is fundamental to our society. As climate change becomes more severe and demand for clean energy increases, the future is the electrification of everything and along with it, the need for reliable energy. The U.S. infrastructure spans over a vast 200,000 miles and inspecting all of it is a time-consuming and high-risk process that often calls for hanging from helicopters or climbing tall towers. It is inefficient, costly, and dangerous.

Announcing the GA of Cloudera DataFlow for the Public Cloud on Microsoft Azure

After the launch of Cloudera DataFlow for the Public Cloud (CDF-PC) on AWS a few months ago, we are thrilled to announce that CDF-PC is now generally available on Microsoft Azure, allowing NiFi users on Azure to run their data flows in a cloud-native runtime. With CDF-PC, NiFi users can import their existing data flows into a central catalog from where they can be deployed to a Kubernetes based runtime through a simple flow deployment wizard or with a single CLI command.

How to break down silos and free your data

As a modern, data-driven organization, you are likely pulling data from a multitude of diverse sources. There’s consumer data from marketing programs, CRM, and point of sale systems, plus financial data from accounting software and banking services. Finally, there is product data from user logs and web applications. With so much data pouring in every day, it feels like you should have everything you need to answer any question that could arise. And yet, so many times you don’t.

Top 7 Virtual Salesforce Conferences And Events For 2022

Salesforce is one of the most prestigious and lucrative companies in the world, reporting $21.25 billion in total revenue in the 2021 fiscal year The company's groundbreaking cloud-based software is a revolutionary element for organizations and businesses around the world, helping them automate, streamline and optimize everything from customer service and marketing to application development and data analytics.

Top 7 AWS Redshift ETL Tools

Amazon Redshift is a fully managed data warehouse solution that allows you to efficiently analyze all your data using your existing business intelligence tools. While Amazon Redshift is one of the industry's top data storage solutions, many considerations need to be made before using AWS Redshift. One of the primary elements of any cloud-based storage solution is knowing how to transfer and secure data properly. Here, we will break down how to properly move data to and from the AWS Redshift platform.

The Data Chief LIVE: Better for everyone: How to battle bias in AI

Join Dr. Haniyeh Mahmoudian, Global AI Ethicist at DataRobot, Alyssa Simpson Rochwerger, co-author of Real World AI: A Practical Guide for Responsible Machine Learning and Director of Product Management at Blue Shield of California, Dr. Besa Bauta, Chief Data and Analytics Officer of State of Texas, Department of Family and Protective Services and NYU adjunct assistant professor, and ThoughtSpot Chief Data Strategy Officer, Cindi Howson, as they discuss the complexities of bias in AI.