Microsoft Tech for Social Impact recently launched the Nonprofit Data Warehouse Quickstart, a script-to-deploy data warehouse solution that integrates sample datasets to help nonprofits modernize their data estate.
As we enter a new decade, the number of IoT-connected devices is predicted to grow 3x from 2019 to 2020, totaling 21 billion devices. As competition increases, so does innovation, and companies across the world are coming up with new uses and applications for the ever-increasing number of devices that are turned on each day.
In this Entrepreneur.com article, you’ll learn how companies and startups are finding new market niches to exploit the near unlimited potential of IoT technology, and how they’re causing disruptive waves that ripple across different trades to nurture a near trillion-dollar industry.
New levels of connectivity and advanced technologies like AI enable businesses to process more data on a larger scale. AI plays one of the biggest roles—in terms of disruption and resulting opportunity—for our industry and our workforce. As we look to a future powered by a partnership between computers and humans, we must address these challenges head on: How will AI impact employment and jobs? How do we ensure that AI is designed, used, and governed responsibly? Explore answers to these questions and more in this valuable eBook.
Leonard Cheshire is a major nonprofit that is removing barriers to independent living, learning, and working for people with disabilities. Using Microsoft Power Apps, the organization is building a complete, cohesive platform for modern, streamlined operations. After many years of disparate technologies, Leonard Cheshire staff now work on a common platform with a single view of the information they need. See their success story here:
This infographic shows how @Microsoft Azure Synapse brings Big Data and Data Warehousing together in a single service to provide limitless analytics.
Data is being generated at an exponential speed. Organizations all over the world are migrating their infrastructure to the cloud. Cloud Analytics with Microsoft Azure teaches all that you need to extract useful insights by analyzing your big data. This e-book covers the power of data with big data analytics, the Internet of Things, machine learning, artificial intelligence, and DataOps. It also delves into data analytics by studying a use case that focuses on creating actionable insights for a company from its near-real-time data. With this e-book, you will gain a solid understanding of data analytics on Azure and its practical implementation.
It’s no secret that IoT is revolutionizing business around the world. However, investing in IoT is not as simple as investing money in new platforms or applications. The real challenge lies in finding a model that works for your business and adjusts to your organization’s focus and competitive advantage. In other words, it’s the opposite of a one-size-fits-all approach, and making the wrong choice can have profound consequences that can take years to overcome.
In this infographic, we’ll cover the distinctions between Software-as-a-Service (SaaS) and Platform-as-a-Service models, as well as explain the main variables that can determine where your business stands when choosing one of these models.
Overcome obstacles to innovation and see how Microsoft Power Apps modernizes the app creation process. Accelerate development to build apps without risk, deploy quickly, integrate data, and infuse AI. As IT moves towards low-code solutions, you can become an agile, data-first company with Power Apps. Learn how:
While investment in digital business solutions continues to increase, employees remain the lifeblood of every enterprise. This article from Forbes covers key ways AI and analytics help organizations hire the right people and train them for success.
IoT is easy to understand: it’s about connecting devices over the Internet so they can communicate with us, with other applications, and with each other. But while IoT may be simple to explain, putting an effective IoT strategy into practice is vastly more complex.
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