Remove product lifecycle management
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The Power of Product Lifecycle Management: Steering Product Roadmaps to Success

The Product Coalition

If your customer base ages with you, you’re Woolworth’s.” — Jeff Bezos Ever question the value of a product development lifecycle? Why should I care about this lifecycle sh*t? If you haven’t gathered from my past posts on product topics, I’ve worked with ‘interesting yet easily annoyed’ colleagues many times. roadmaps?”

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A Clear Path to Growth and Maturity: Why Does Product Lifecycle Management Matter?

The Product Coalition

.” - Paul Young Why did every product we launched seem to feel different? We had a product lifecycle, although… it wasn’t documented in a playbook. I thought we were in good shape, given that this was the next release of an existing software product. To not write down the lifecycle was a major fail on my part.


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From Idea to Fruition: Manage Your Product Lifecycle More Efficiently


In the ideal world, you would release a product, it would be an instant hit, and customers would purchase it forever. Selling the most products and getting the best business outcomes starts with a smart approach to product lifecycle management. The Importance of Product Lifecycle Management.

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How to Build a Product Lifecycle Management Strategy | Productboard


Product Lifecycle Management (PLM) is a strategic, scalable approach that helps companies orchestrate every stage of a product’s development, from ideation to design, production, marketing, and long-term support.

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How to Optimize the Developer Experience for Monumental Impact

Speaker: Anne Steiner and David Laribee

As an innovative concept, Developer Experience (DX) has gained significant attention in the tech industry, and emphasizes engineers’ efficiency and satisfaction during the product development process. Attendance of this webinar will earn one PDH toward your NPDP certification for the Product Development and Management Association.

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Build, Measure, Learn: the Product Management Lifecycle Loop


Each of these concepts is core to the way product managers and teams categorize their work. Teams flow in and out of these concepts throughout the product development lifecycle—each expanding on the last to help create value for your customer. That’s why planning is the first stage of the product management lifecycle.

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Product Lifecycle Management – Beyond the Early Adopter

Mind the Product

Craig Strong , VP of Product Lifecycle Management at Pearson, talks about the work they have done to evolve their product lifecycle management and the key learnings that have taken place along the way. Strategy is key and metrics are all relative (to market changes, product maturity…).,

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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations.

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How to Use Customer Feedback for Business Growth

Customer feedback is a crucial element of every product-led growth company: it helps product managers prioritize, build, and sustain their products while working towards business growth. Customer feedback by product lifecycle. “Feedback is the breakfast of champions.” - Rick Tate.

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The Complete Predictive Analytics Lifecycle for Application Teams

Speaker: Sriram Parthasarathy, Senior Director of Predictive Analytics, Logi Analytics

But what steps should product managers take to add predictive analytics to their applications? In this webinar, we’ll walk through an end-to-end lifecycle of embedding predictive analytics inside an application. Applications with predictive analytics are able to deliver massive value to end users.

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Build Trustworthy AI With MLOps

Whether it is the reliability of the supply chain, the accuracy of financial predictions, or the assurance of product availability, trust from customers, vendors, and suppliers is non-negotiable. Our eBook covers the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance.