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Benefits Of Implementing Project Portfolio Management
Unlike traditional project management, which focuses on individual projects, PPM takes a holistic approach by considering the entire portfolio of projects within an organization.
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Articles focused on Machine Learning, Project Portfolio Management, Enterprise Asset Management, and Integrations with your favorite platforms
Project Risk Management With Llama 2 and ChatGPT 4o
We review a risk assement as part of this case study. In this scenarion, the LLama 2 Machine Learning LLM makes suggestions and we discuss how the provided options can be easily integrated into the project.
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Project Portfolio Management: Cloud SaaS or on-premises Software?
Project Portfolio Management (PPM) is essential for organizations to efficiently manage and prioritize projects, ensuring alignment with strategic goals. With the rise of technology, businesses no...
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Optimize, Analyze, and Share Research Projects with the FolioProjects AI Tool
Utilize our collaboration, automation and machine learning tools for your next research project.
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Understanding the Key Differences: Portfolio vs. Project vs. Program
It can be easy to get confused between project, program, and portfolio when they essentially involve the same concept from different perspective. In this article we discuss the differences and simularies between projects, portfolios, and programs.
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How and why we configure Snowflake tasks using the Terraform IaC tool
Snowflake is a popular data warehouse solution. Terraform is a popular infrastructure as code (IaC) tool. Let's discuss how we utilize both technologies to support our machine learning operations (MLOps)
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How to Align IT Service Management with Project Management for Success
A non-technical guide for decision-makers navigating the process of aligning ITSM with PM. This alignment ensures that IT services are delivered efficiently and effectively, supporting the overall business goals.
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Mastering CICD Workflow Automation: Essential Tools for MLOps Pipelines
Complete guide to implementing CICD workflow automation using popular tools like github actions for the enhanced performance of machine learning pipelines
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A Beginner's Guide to Machine Learning Operations (MLOps) Workflow
Machine Learning Operations (MLOps) is a set of practices that aim to deploy and maintain machine learning models, including Large Language Models (LLMs), in production reliably and efficiently.
Read more →Real-Time Sustainability Intelligence for Asset Portfolios. FolioProjects simiplifies and automates the tracking, optimization, and sharing of environmental, social, and governance (ESG) data.
Share project data like risk profiles, financial reports, sustainability metrics, and general asset performance with custom stakeholder groups.
Make data driven decisions and achieve more goals with our automation, data, and AI tools.
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