Systems Imagination uses big data to discover new tiers of medical insights unobtainable through conventional means. In order to gain the distributed computing power it needed, the company adopted Microsoft SQL Server 2019 Big Data Clusters. Now, it delivers results based on petabytes of data to its customers within hours while simultaneously keeping operating costs low.
Go beyond transactions and interactions to give your buyers unique experiences that build trust. Transform the sales experience with Dynamics 365 Sales. Features include enabling smarter selling with contextual AI, increasing sales profitably with advanced insights, and improving coaching and sales performance.
Go beyond transactions and interactions to give your buyers unique experiences that build trust. Transform the sales experience with Dynamics 365 Sales. Features include enabling smarter selling with contextual AI, increasing sales profitably with advanced insights, and improving coaching and sales performance.
Data-sharing is an immense enabler of scientific advancements. When researchers choose to make their data publicly available, they are allowing their work to contribute far beyond the original findings. Making research data more accessible also fosters transparency and trust in their work, enables other researchers to reproduce and validate their findings, and ultimately, contributes to the pace of scientific discovery by allowing others to reuse and build on top of the data. Fortunately, cloud technology has made it easier than ever to share data across major research institutions. Empowered by tools that include Microsoft Azure, researchers are relying more and more on digital collaboration and open source software to drive scientific breakthroughs.
Watch this video to learn how researchers at Australian National University (ANU) are using Azure to build on each other’s findings and avoid a siloed approach to data that leads to slower research pipelines.
Data-sharing is an immense enabler of scientific advancements. When researchers choose to make their data publicly available, they are allowing their work to contribute far beyond the original findings. Making research data more accessible also fosters transparency and trust in their work, enables other researchers to reproduce and validate their findings, and ultimately, contributes to the pace of scientific discovery by allowing others to reuse and build on top of the data. Fortunately, cloud technology has made it easier than ever to share data across major research institutions. Empowered by tools that include Microsoft Azure, researchers are relying more and more on digital collaboration and open source software to drive scientific breakthroughs.
Watch this video to learn how researchers at Australian National University (ANU) are using Azure to build on each other’s findings and avoid a siloed approach to data that leads to slower research pipelines.
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.
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.
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.
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.
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.