Top 3 ways AI helps you survive busy season

Join John Colthart, VP Growth & General Manager, Audit and Assurance, for an in-depth walkthrough of how MindBridge Ai Auditor performs the heavy lifting during the audit process to free up staff and reduce frustration and burnout.
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Spotlight

OTHER ON-DEMAND WEBINARS

AI for RevOps - Prepare for 2022

RevOps drives full-funnel accountability through the alignment of Marketing, Sales, and Service across your organization's process, platform, and people. As organizations scale, the need for AI becomes apparent. See how to use AI to keep your data usable & reliable as you grow.
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How to Save Costs and Secure your Cloud Environment?

NetEnrich

In this webinar, we'll review the key factors required to manage and optimize your cloud costs, includes continuous refinement and best practices that help increase output and reduce costs while maintaining high service quality. The key takeaways from this webinar include: How can you avoid the common challenges in the software development lifecycle? Enabling a holistic approach to DevOps using the full stack of tools, automation and processes.
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DevOps and the API lifecycle with Anypoint Platform

The mandate for applications to change is nothing new. Pushing those changes from design to production in hours, however, is something traditional software delivery models can't handle. DevOps practices have emerged as a viable approach to enabling this speed with quality and in this webinar, we will highlight how DevOps practices and tooling can be applied with Anypoint Platform when implementing and managing an API lifecycle.
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AI & Deep Learning for Vision Applications

Artemis Vision

Image based ML algorithms have been advancing exponentially, but manufacturing industries have been slow to adopt these new methods. Supervised ML algorithms can be taught to perform inspections with less developer effort for certain classes of problems when compared to traditional methods, and will often work where traditional techniques are infeasible. Advances in IIOT have reduced the cost of acquiring and labelling large datasets, situating manufacturing in a sweet-spot for leveraging ML.
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