Scale Agile SAFely with CA

Take advantage of SAFe 4.0. Find out how our software and services support the latest SAFe 4.0 guidance. • See how the new capacity planning and release tracking tools in Agile Central help agile release trains deliver on-time and with maximum value. • Experience how Flowdock helps you better communicate and collaborate in real-time and across teams, trains and communities of practice. • Learn how you can launch an Agile Release Train in as little as three months and get to market 2X faster, using our Ready > Sync > Go approach. • Visualize the new SAFe concepts—like values streams, multi-level kanban and milestones—in our enterprise platform.
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Spotlight

OTHER ON-DEMAND WEBINARS

Digital Transformation: Practical Steps to Getting Everyone Onboard

Skillsoft

With changing technologies all around us it can be challenging to know where to start when planning your organizations digital transformation strategy. One thing that remains clear across industries though is the need to have the right culture and behaviors within an organization to successfully take on this transformation.
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AWS DevOps in practice

Pluralsight Inc.

Businesses are leveraging DevOps practices and the AWS cloud to better serve their customers and compete more effectively in the market. Want to be one of them? In this webinar, Pluralsight author and AWS expert Mike Pfeiffer will show you how the services offered by AWS enable companies to more rapidly and reliably build and deliver products using DevOps practices.
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ForgeRock and Accenture Share How To Enhance Existing Governance Investments with Artificial Intelligence

Global organizations have long used identity governance solutions to address user access and regulatory compliance requirements. Each technology requires a clear identification of which users need access, what resources they need, and how access can be controlled to prevent unauthorized usage. As the size and scope of these challenges has increased, traditional approaches like RBAC have fallen short, for the simple reason that defining and maintaining roles is time consuming and difficult using legacy tooling or even the dreaded spreadsheets. Operational costs are exploding, users are suffering from identity fatigue, and auditors are calling out rubber stamping as a regulatory issue.
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Machine Learning Model Deployment for the Enterprise

Deployment is a major challenge facing enterprise success in AI. In our last webinar, we discussed why many machine learning models don’t make it into production. On premise solutions face specific difficulties that we will discuss in this webinar. We will discuss best practices of enterprise machine learning, and how to get more of your models to production. While there are many solutions that help streamline the ML deployment process for cloud enterprises, few solutions exist for on premise enterprises. Join Aaron Schneider as he discusses ways to quickly deploy on your own servers or hardware at scale or on any cloud service.
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