Let’s Chat! : Why Conversational AI is the Future for Surveys

Let’s Chat! : Why Conversational AI is the Future for Surveys
Let’s face it, most surveys are boring and the data quality is often poor. Conversational surveys use qualitative principles and good design to increase participant engagement, which leads to more considered answers and better data.

They use AI to probe open ended answers and include projective tools to dig deeper into participant feelings and motivations. AI clusters and themes the mass of verbatim data in real time. Conversational AI delivers Qual x Quant.
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Spotlight

OTHER ON-DEMAND WEBINARS

Using AI-powered Automation for High Performance Data Pipelines in the Cloud

DevOps.com

Performance Optimization and Troubleshooting Modern Data Applications With cloud becoming the deployment platform of choice for data pipelines, many IT organizations must now come to grips with what that means for planning, budgeting, migrating and operating big data in the cloud.
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All Roads Lead to DevOps

xebialabs

Different situations, different teams, and different requirements call for different ways to approach your software delivery initiatives. Your road to success might mean taking the highway or a shortcut to get the job done. However, regardless of your cloud, container, security, compliance, or ITSM goals, all roads eventually lead to the same destination…DevOps.
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Rethink IT Roles and Organisation Structure for Digital Work

Business leaders are developing multi-disciplinary fusion teams as a result of technology work being distributed across the enterprise. This has significant implications for CIOs who are now facing increased pressure to show IT’s impact on improving business performance. Join this complimentary webinar as Gartner experts discuss the key questions CIOs should be asking about these fusion teams, and how to create an effective organisational structure for digital work that meets business value.
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Accelerate your research with AI

AI technologies can advance scientific research across disciplines, leading to significant social and economic benefits. In the digital age where vast amounts of data are scattered across systems, AI enables scientists and researchers to perform complex analyses faster and derive accurate insights seamlessly across departments and datasets.
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