eBook: The ultimate guide to Windows Server 2019

Take full advantage of your on-premises investments with Windows Server 2019. Learn how to extend your on-premises environments to the cloud with the Windows Server 2019 advanced hybrid capabilities. Additionally, learn how to add additional security layers and update your applications and infrastructure when you connect to the cloud.

View: eBook: The ultimate guide to Windows Server 2019

Customer Data Platforms: Striving for a Single View of the Customer

The ability to collect, store and normalize large volumes of data while creating a way to persistently identify profiles across digital touchpoints has been the holy grail for many marketers. Traditionally, Data Management Platforms (DMPs) have been used to fulfill this role, but their reliance on anonymous IDs, the lack of personally identifiable information (PII), and their focus on paid channel optimization has led marketers to look for other alternatives.

This is where Customer Data Platforms (CDPs) come into play. Thanks to their usage of known IDs, PII, and their focus on owned channel personalization, they might just provide the coordinated action across all touchpoints and channels that marketers have been seeking all along. But as more and more companies look to brand themselves as CDPs, a little research can go a long way to avoiding potential frustration and going with the wrong option.

In this article, you’ll learn about the CDP field as it stands today, and how to differentiate CDPs that started on the digital AdTech side from those that started on the PII MarTech side, as well as the differences in both their strengths and weaknesses.

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Customer Data Platforms: Striving for a Single View of the Customer

The ability to collect, store and normalize large volumes of data while creating a way to persistently identify profiles across digital touchpoints has been the holy grail for many marketers. Traditionally, Data Management Platforms (DMPs) have been used to fulfill this role, but their reliance on anonymous IDs, the lack of personally identifiable information (PII), and their focus on paid channel optimization has led marketers to look for other alternatives.

This is where Customer Data Platforms (CDPs) come into play. Thanks to their usage of known IDs, PII, and their focus on owned channel personalization, they might just provide the coordinated action across all touchpoints and channels that marketers have been seeking all along. But as more and more companies look to brand themselves as CDPs, a little research can go a long way to avoiding potential frustration and going with the wrong option.

In this article, you’ll learn about the CDP field as it stands today, and how to differentiate CDPs that started on the digital AdTech side from those that started on the PII MarTech side, as well as the differences in both their strengths and weaknesses.

Read More…

5 Things to Avoid While Using a Team Messenger

Team messenger apps are a great addition to the workplace, especially in today’s environment where working from home and flexible work schedules are the norm. However, it’s easy to forget that just like unbulleted emails and leaving used Tupperware in the company fridge, there are some behaviors that are frowned upon when using office communication tools.

In this article, you’ll review 5 basic rules that professionals must be mindful of when using a team messenger application in the office or remotely. Always keep them in mind to avoid awkward situations and the office blacklist.

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5 Things to Avoid While Using a Team Messenger

Team messenger apps are a great addition to the workplace, especially in today’s environment where working from home and flexible work schedules are the norm. However, it’s easy to forget that just like unbulleted emails and leaving used Tupperware in the company fridge, there are some behaviors that are frowned upon when using office communication tools.

In this article, you’ll review 5 basic rules that professionals must be mindful of when using a team messenger application in the office or remotely. Always keep them in mind to avoid awkward situations and the office blacklist.

Read More…

What is Teams?


This video shows how you can pull together a team with Microsoft Teams on your PC, Mac, or mobile device. Use chat instead of email, securely edit files at the same time, see your likes, mentions, and replies with just a single tap, and have the freedom to customize it all by adding notes, websites, and apps.

What is Teams?


This video shows how you can pull together a team with Microsoft Teams on your PC, Mac, or mobile device. Use chat instead of email, securely edit files at the same time, see your likes, mentions, and replies with just a single tap, and have the freedom to customize it all by adding notes, websites, and apps.

How AI is finding patterns and anomalies in your data

From autonomous vehicles, predictive analytics applications, and facial recognition, to chatbots, virtual assistants, cognitive automation, and fraud detection, the use cases for AI span dozens of industries. Regardless of the AI application, though, these use cases all have a common aspect. After implementing thousands of AI projects, experts have come to realize that despite all of the diversity in applications, AI use cases fall into one or more of seven common patterns. One of them—the pattern-matching pattern—has allowed machines to digest large amounts of data to identify patterns, anomalies, and outliers in the data, so organizations can unearth previously undiscovered insights in their datasets.

In this article, you’ll learn how pattern-matching is being put to use in today’s organizations to prevent fraud, find the best job candidates, manage inventories in times of crisis, and empower data scientists with new perspectives on how to improve critical processes.

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How AI is finding patterns and anomalies in your data

From autonomous vehicles, predictive analytics applications, and facial recognition, to chatbots, virtual assistants, cognitive automation, and fraud detection, the use cases for AI span dozens of industries. Regardless of the AI application, though, these use cases all have a common aspect. After implementing thousands of AI projects, experts have come to realize that despite all of the diversity in applications, AI use cases fall into one or more of seven common patterns. One of them—the pattern-matching pattern—has allowed machines to digest large amounts of data to identify patterns, anomalies, and outliers in the data, so organizations can unearth previously undiscovered insights in their datasets.

In this article, you’ll learn how pattern-matching is being put to use in today’s organizations to prevent fraud, find the best job candidates, manage inventories in times of crisis, and empower data scientists with new perspectives on how to improve critical processes.

Read More…

Microsoft for Government: narrative, scenarios, and solutions

Public institutions provide hundreds of services, and each of them represents an opportunity to use digital to increase their efficiency and reach. But so many options can seem overwhelming, and crafting a compelling, insight-filled narrative can go a long way to effectively transmitting the real benefits that governments can experience with digital transformation.

In this infographic, we’ll provide you with the most common scenarios that provide opportunities for governments to go digital with Microsoft for Government. We’ve also included examples of impactful solutions for each scenario that have allowed public institutions to obtain outstanding results with digital. After reading it, you’ll be better equipped to craft attention-grabbing pitches for all branches of government institutions including Civilian Government & Public Safety, and Defense & Intelligence.

View: Microsoft for Government: narrative, scenarios, and solutions