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Getting Machine Learning Projects from Idea to Execution

Harvard Business Review

This article presents a six-step practice for ushering machine learning projects from conception to deployment. Outside of Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What’s missing? A specialized business practice suitable for wide adoption.

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5 Questions to Get Your Project Team on the Same Page

Harvard Business Review

Projects are unique, temporary, and dynamic. At the beginning of a project, you can be proactive as you plan, schedule, source, and staff. Project success ultimately depends on maintaining project team alignment from inception to completion.

Project 129
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[FREE] Business Case Template: Create a Business Case to Turn Your Idea Into a Funded Project

Leapfrogging

A Business Case clearly outlines the fundamental reason for why an organization should engage in a particular project or task. They can either be formally or informally presented to top-level management or other relevant stakeholders. need to be expended for a project are being requested in order to fulfill a business necessity. .

Project 130
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Navigating the Shift from Project to Product: A Map for Success 

Planview

The secret lies in transitioning from a project-oriented management approach to a product-centric model. Despite beginning with unwavering enthusiasm, McKinsey reports that initiatives often lose approximately 42 percent of their projected value as they progress into later implementation stages and long-term sustainability.

Project 69
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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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The Revolution is Here: Generative AI and Project Management

Planview

In its conventional sense, project management has been marked by rigorous methods and stringent controls. But in the wake of generative AI technology, we’re on the brink of a transformative change in how projects are managed. This post details a sampling of the technology transforming project management today and its advantages.

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How to fuel your project with intelligent naivety?

Flying Fish Lab

We’re going to focus on two particular ones that we pay particular attention to during the set up stage of any project. Alternatively, for larger projects, we’ll split documents across the team and work separately (so that no one person has a complete overview).

Project 52
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The Essential Guide to Building Analytic Applications

Embedding analytics in software presents some unique opportunities—and poses unique challenges—to software teams. What should product managers keep in mind when adding an analytics project to their roadmap? What should product managers keep in mind when adding an analytics project to their roadmap?

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Measuring Innovation Performance

Why do only a third of the organizations worldwide have formal innovation metrics in place despite accepting that innovation is critical to survival? Download this eBook to learn about the 5 basic principles that guide every successful innovation process.