Ep. 48 Why Data-Driven Marketing is Important for a Modern Business

Why Data-Driven Marketing is Important for a Modern Business Graphic cover graphic

#48 What is data-driven marketing, how can marketers effectively use it to drive conversions, and why does it matter? With the digitization of business and an increasingly demanding and digitally connected consumer. Now more than ever, there is a greater urgency to develop data-driven marketing campaignsas organizations have come under increasing pressure to deliver results…

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The View from Customers That Have Taken the Journey with Microsoft Azure

The View from Customers That Have Taken the Journey with Microsoft Azure 1

Executive Summary Spurred by the COVID-19 pandemic, digital transformation efforts in 2020 and 2021 have accelerated dramatically. This year, 95.5% of enterprises are implementing a digital platform, compared with 91.8% in 2019, according to a July IDC survey. Meanwhile, approaches to digital transformation are diverging. Many companies have retreated from a vision where a single…

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Migrate to the cloud and track your progress with Azure Migrate

Migrate to the cloud and track your progress with Azure Migrate 2

As public cloud computing has matured, more organizations are migrating their existing on-premises data and applications to the cloud. Reasons to migrate include the ability to achieve improved governance, security and cost efficiencies. In the past, migration required a sense of adventure and a pioneering spirit. The process was daunting, and complexity increased dramatically without…

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The Power BI Professional’s Guide to Azure Synapse Analytics

The Power BI Professional’s Guide to Azure Synapse Analytics 3

This guide introduces Power BI practitioners to Azure Synapse Analytics—a limitless analytics service that brings together enterprise data warehousing and big data analytics. On the surface, Azure Synapse Analytics is Azure SQL Data Warehouse evolved. However, it’s much more than just a few new capabilities in an update of SQL Data Warehouse. Azure Synapse represents…

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Zero Trust Cybersecurity for the Internet of Things

Zero Trust Cybersecurity for the Internet of Things 4

In this paper we review the principles of Zero Trust security, and the aspects of IoT that make proactive application of Zero Trust to IoT different than its application to the workforce. The key capabilities of Zero Trust for IoT are defined for companies with an IoT strategy, and next steps highlight Microsoft solutions enabling…

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Azure Resiliency – Business Continuity and Disaster Recovery

Azure Resiliency – Business Continuity and Disaster Recovery 5

This document focuses on the resiliency aspect of Azure. It provides guidance on designing resilient applications on Azure and provides sample application design patterns for varied levels of resilience. The audience for this document is anyone moving applications from on-premises to Azure, or building applications on Azure, including CTOs, CIOs, Cloud Solution Architects, Business Continuity…

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Responsible AI with Azure Machine Learning

Responsible AI with Azure Machine Learning 6

Tools and methods to understand, protect, and control your models In this paper, we’ll share some of the tools and methods thathelp our IT teams honor our AI principles. The same tools we use internally are available to everyone in Azure Machine Learning, which provides state-of-the-art capabilities to help users understand, protect, and control their…

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Build the critical infrastructure services of the future with Microsoft Azure

Build the critical infrastructure services of the future with Microsoft Azure 7

Managing and improving critical infrastructure, including utilities, transportation services, and urban innovation and digital services, is one of the most important functions of many public and private sector organizations around the world. In this paper, we look at some of the key challenges for critical infrastructure and how solutions available in Microsoft Azure can help…

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MLOps with Azure Machine Learning

MLOps with Azure Machine Learning 8

Accelerating the process of building, training, and deploying models at scale Enterprise organizations in nearly every industry are increasingly making machine learning (ML) initiatives a priority. Machine learning models are at the core of many AI use cases from predictive maintenance and recommendations to anomaly detection and dynamic pricing. Modern machine learning algorithms and frameworks…

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