Are you rolling out the right technology? How do you gauge the success of your digital transformation projects? Is your service desk fixing the right issues or wasting valuable time?
Learn how to do all this and more in this 10-minute webinar with ABN AMRO, one of the largest financial institutions in the Netherlands. Watch now to learn how to:
- Effectively collect sentiment data
- Use sentiment data to make strategic digital workplace decisions
- Leverage sentiment data at scale to build more efficient service desk and digital workplace teams
Combining sentiment data with technical data can transform your digital workplace strategy. Watch the webinar now to learn how.
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AI is everywhere. Once the sole domain of researchers and institutions, this technology has emerged in a wide variety of areas, including network infrastructure, platforms, and services. With AI, software developers now have the means to build a variety of intelligent solutions. This report, A Developer’s Guide to Building AI Applications, Second Edition, lets you check out AI’s possibilities hands-on.
You’ll learn how to create a virtual assistant—a conversational AI application that can understand language, perceive vast amounts of information, and respond intelligently. Authors Elaine Chang and Darren Jefford will guide you through the many AI resources and capabilities now available to developers. Jump in and discover powerful and innovative ways to approach hard-to-solve problems.
You’ll explore:
- How artificial intelligence works in the cloud.
- Azure AI’s services, infrastructure, and tools for developing AI apps.
- Microsoft’s Bot Framework ecosystem and the lifecycle of conversational AI app development.
- How to use Bot Framework to deliver tailored conversational assistant experiences.
- Expert guidance for developing your conversational AI app.
- Channels and adapters that help conversational experiences reach end users.
- Analytics tools for conversational AI applications.
- How Azure AI encourages you to create responsible and trustworthy solutions.
Learn how to create powerful, intelligent applications with help from AI experts.
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Save money and accelerate your business productivity by making data capture easy, efficient, and effective.
Understanding your retail business’ data will enable you to better its operations. With the right tools, you can unlock the true potential of your data. Samsung’s Galaxy devices, in combination with Scandit Smart Data Capture, will help turn your business challenges into big opportunities.
Great. But how? Simply download our Retail Tech Guide: the Ultimate Data Accelerator to find insights on how to transform tedious and time-consuming data capture workflows into easy, fast, and innovative processes.
Take control of everything from inventory management to creating differentiated and personalised customer experiences. With Samsung and Scandit, you and your business have the power to work wonders.
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It’s hard to deny that our world is in the midst of profound change. An ongoing global pandemic, extreme weather, economic and market challenges… How can companies use digital technology to navigate the challenges they face to better serve their customers?
In this issue of Workflow Quarterly, discover insights designed to help business leaders, like yourself, meet the global challenges of today and the opportunities of tomorrow.
Datadog is a highly popular monitoring and security platform for infrastructure and applications. It’s also a very expensive one when you add up all of its extras. Here are four reasons why you might consider transitioning away from Datadog.
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This Frost and Sullivan visual whitepaper describes optimizing your cloud strategy to meet your business goals.
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Cloudflare Magic Transit provides DDoS protection and traffic acceleration for on-premise, cloud, and hybrid networks. With data centers spanning 200 cities and over 37 Tbps in mitigation capacity, Magic Transit can detect and mitigate attacks close to their source of origin within 0-3 seconds (and less than 10 seconds on average) — all while routing traffic faster than the public Internet.
In this paper, we build an example deployment and follow the journey of a packet from a user on the Internet to a Magic Transit customer’s network.
