By adopting a DevOps development strategy and transitioning development to Microsoft Azure, GEICO is working to engage customers more personally and dynamically. With the help of partner Applied Information Sciences, GEICO is moving to the cloud with a focus on increased efficiency, greater application availability, and lower costs.
Author: Blog Poster
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Not long ago, the main way that major research institutes obtained the computing power they needed for new or ongoing projects was to invest in computing infrastructure, which required significant upfront investments and led to ongoing IT costs to keep the research going.
By switching to cloud computing, research organizations have discovered that they can increase their computing performance without investing in new physical servers or on-site infrastructure. The benefits of the transition are obvious: faster publication times, substantially faster data analysis, significantly lower IT spending, and increased collaboration among researchers, all thanks to improved data sharing and security.
Subscribe now to learn more about how the cloud, artificial intelligence (AI), and the off-premises data management capabilities of Microsoft Azure are empowering organizations—research and otherwise—across the world.
ANU Large data sets and small budgets
Large upfront costs can severely limit the scope and scalability of important projects. With major research institutes that work on projects where substantial volumes of data need to be analyzed, the investment in computing infrastructure for data processing can be a major concern. They need a solution that can ensure the proper scalability of research projects and eliminate the inefficiencies of having to constantly update, upgrade, or downscale on-site servers to address the data needs of specific projects. Fortunately, cloud computing is having an enormous impact on how research is done across the globe.
Watch this video to learn how the elasticity and scalability of Microsoft Azure has allowed genome researchers at Australian National University to access only the computational resources they need while delivering results faster than ever before.
Engage employees, improve productivity, and build team cohesion
After so much turmoil and change, employees all want different things. Companies need to support a successful back-to-hybrid-office life—a situation that is here to stay. The capabilities for positive hybrid meetings is possible with modern Microsoft tooling like Teams, Endpoint Manager, and devices like Surface Hub. Immersive and custom engagements that highlight leading guidance and innovation help remote and on-site deployment assistance prepare teams for hybrid work—meeting the needs of employees and increasing productivity and satisfaction no matter where they work.
Sign up to stay connected—we’ll help you better connect and create new experiences throughout your organization with Hybrid Meetings.
View: Engage employees, improve productivity, and build team cohesion
ANU Large data sets and small budgets
Large upfront costs can severely limit the scope and scalability of important projects. With major research institutes that work on projects where substantial volumes of data need to be analyzed, the investment in computing infrastructure for data processing can be a major concern. They need a solution that can ensure the proper scalability of research projects and eliminate the inefficiencies of having to constantly update, upgrade, or downscale on-site servers to address the data needs of specific projects. Fortunately, cloud computing is having an enormous impact on how research is done across the globe.
Watch this video to learn how the elasticity and scalability of Microsoft Azure has allowed genome researchers at Australian National University to access only the computational resources they need while delivering results faster than ever before.
ANU Large data sets and small budgets
Large upfront costs can severely limit the scope and scalability of important projects. With major research institutes that work on projects where substantial volumes of data need to be analyzed, the investment in computing infrastructure for data processing can be a major concern. They need a solution that can ensure the proper scalability of research projects and eliminate the inefficiencies of having to constantly update, upgrade, or downscale on-site servers to address the data needs of specific projects. Fortunately, cloud computing is having an enormous impact on how research is done across the globe.
Watch this video to learn how the elasticity and scalability of Microsoft Azure has allowed genome researchers at Australian National University to access only the computational resources they need while delivering results faster than ever before.
Nebraska Furniture Mart embraces Microsoft 365 to work smarter
The ability to work securely from anywhere already played a role in Nebraska Furniture Mart’s (NFM) digital transformation vision, but COVID-19 pushed that goal to the forefront. Decision makers at NFM chose Microsoft 365 to advance a cloud-first strategy and standardize on a single solution. Consolidating communication on a single solution like Microsoft Teams helped drive efficiency and collaboration—all while saving costs. NFM implemented Teams Rooms systems at its Omaha headquarters, and the company will soon roll out the solution across all its stores, as well as integrate Teams Phone capabilities in the future.
The AI Revolution Is Here – A Podcast And Interview With Nate Yohannes
Artificial Intelligence (AI) is the catalyst for the fourth industrial revolution, the most significant technological advancement thus far. AI has the potential to solve incredible challenges for all of humanity, including climate change, education, design, customer experiences, governance, and food. That said, among the biggest concerns regarding AI is the potential for unexpected and unintended consequences in building and deploying AI products.
According to Nate Yohannes, Principal Program Manager for Mixed Reality and AI Engineering at Microsoft, having appropriate representation at decision-making tables when building AI products is critical to help prevent these unfortunate scenarios. From his perspective, representation will go a long way toward preventing the unexpected consequences of AI products, and it will also guarantee that the products that are created will have the widest consumer base possible: everyone.
Listen to this podcast for an inspiring conversation about how to make the possible a reality by approaching AI with a new mindset that takes into consideration its full potential for improving the lives of everyone.
To Make Hybrid Work, Solicit Employees’ Input
Driven by the state of the world today, more companies are committing to hybrid work. But how do you build out the model in a way that’s right for your business and those who are conducting it?
Simple: Talk to employees to tailor the program to their specific needs. Easier said than done? Learn what questions to ask and scenarios to consider, and then maintain flexibility so you can quickly pivot if necessary.
3 reasons to modernize your data estate
Organizations that modernize their data estate can reap major benefits, including enhanced security and compliance, significant cost savings, and the ability to empower employees via business insights and advanced analytics capabilities. Organizations that don’t, on the other hand, risk putting themselves behind the curve by missing out on game-changing cost benefits, leaving their businesses open to potential vulnerabilities, and by not taking advantage of modern analytics capabilities.
Read this infographic to learn how businesses are taking advantage of the latest technologies by modernizing their datasets to create transformational benefits throughout their organizations, and discover how they’re doing so by leveraging Microsoft Azure.