Microsoft is aiming to adapt its productivity suite to a short-attention-span world. Past years of slavishly digitizing and formatting words, numbers, and images are over, and future versions of Word, Excel, and PowerPoint will be much more aware of your work and how you do it. Picture this: Intelligent algorithms will find patterns and meanings in data, and then use the insights to help you get through your day more efficiently. Check out this article to learn about the transition to smarter work software!
Frontline Workers Competitive Edge
Give your Frontline Workers the digital tools they need to sharpen their competitive edge. Microsoft solutions can empower your team to boost performance and productivity, increase communication, streamline business, protect data, and transform collaboration. Learn how:
6 ways to kickstart DevSecOps
DevOps methodologies provide businesses with a faster and more efficient way to do code—and organizations are turning to DevSecOps as the solution to harden security and address compliance at the same time.
Starting DevSecOps practices can be challenging, especially when working with siloed teams, or when there is reluctance to add security and compliance checks to the delivery pipelines—but we are here to help.
Sign up to stay connected and download 6 ways to kickstart DevSecOps—and get started integrating security into your practices.
Analytics & AI solution video
By harnessing the power of #Microsoft Analytics, you can inform and drive intelligent automation through AI and machine learning. Watch this video to gain insights on automation through AI and machine learning, how to expand the reach of your data insights, and gain increasing levels of efficiency and personalization. Check it out!
Mattress Firm associates collaborate with Microsoft 365 to improve in-store, digital customer experience
Microsoft Teams has been a game changer for #MattressFirm’s employee communication and collaboration. Watch this short video to hear the rest of the story and learn more about #Microsoft solutions.
Low code vs. no code and the future of application development
Low code and no code platforms make application and software development accessible to businesses or projects that may not always need a full development team. The low code technology market is predicted to grow 23 percent globally in 2021—providing opportunities to save money and time.
Deepen and engage customers with AI
Accelerate digital transformation that deepens engagement, predicts outcomes, and automates operations with #Microsoft Analytics and #AI. Subscribe to learn more!
Invest in Frontline Workers to drive growth
Are you looking to minimize risk and grow your business? Start by empowering your Frontline Workers with the right technology and tools. For more tips and tricks as well as the latest news from Microsoft, subscribe today!
Improve observability, strengthen security, and proactively remediate vulnerabilities
There are DevOps tools for every phase of the app lifecycle. Use Azure to implement DevOps practices throughout application planning, development, delivery, and operations. By applying the right combination of DevOps technologies, culture, and processes, you can achieve continual software delivery and offer better value for your customers.
Sign up to stay connected. We’ll help you learn more about using Azure DevOps with GitHub and Visual Studio from Microsoft.
Dow uses vision AI at the edge to boost employee safety and security with Azure
Dow is a leader in materials science, focused on delivering innovative and sustainable customer-centric solutions. An important priority for the chemical company is safety, and Microsoft Azure played a crucial role in enabling preventative leak detection with the goal of zero safety-related events at its facilities. The initial solution leverages Azure AI to analyze live video and uses an app to trigger notifications to the operator if it detects a possible leak. Azure Video Analyzer, coupled with Azure DevOps, provided a quick, low-latency, low-resource, and easily scalable solution. Machine learning ensures the model is continually refined, so it gets better with each interaction.
Best of all, this model can be leveraged for other applications, such as detecting when employees aren’t wearing proper PPE in industrial locations, and security monitoring.