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  • Recommendations for capacity planning - Microsoft Azure Well . . .
    Capacity planning should be done before there are predicted changes in usage patterns Predicted changes include as seasonal variations, product updates, marketing campaigns, special events, or regulatory changes This guide describes the recommendations for capacity planning
  • Drive efficiency through automation and AI with the Microsoft Cloud
    This year at Microsoft Ignite we explore how organizations can activate AI and automation directly in their business workflows and empower developers to use those same intelligent building blocks to deliver their own differentiated experiences
  • AI in Planning: Opportunities and Challenges and How to Prepare
    This white paper summarizes the findings and suggests initial ideas on how planners can prepare for AI and its potential impacts, how planners can ensure AI-based planning tools are used in equitable and inclusive ways, and what the role of the planner should be in developing and using AI-based planning tools
  • What is the Role of Planning in Artificial Intelligence?
    Efficiency and Optimization: Planning allows AI systems to choose the most efficient route to achieve a goal, minimizing resource usage and time For instance, an AI logistics system can optimize delivery routes, reducing fuel consumption and costs
  • Accelerate efficiency gains with optimization and AI - IBM
    Today, machine learning (ML), artificial intelligence (AI) and decision optimization (DO) are not just buzzwords you read in the press, but urgent requirements for any company that fears disruption and wants to do pragmatic analysis in order to make better decisions with their data
  • The Role of AI and Automation in Project Management: Transforming . . .
    AI-powered project management tools can automate repetitive processes, predict potential risks, and provide data-driven insights to improve efficiency However, successful implementation requires a strategic approach that balances automation with human expertise
  • AI Planning - IBM Research
    We create new planning algorithms and develop applications of planning to business areas such as risk management, defense, dialogue management, healthcare, cybersecurity, analytics and public transportation Planning is a long-standing sub-area of Artificial Intelligence (AI)
  • AI for Optimization: Enhancing Efficiency in AI Systems
    AI for optimization involves using intelligent algorithms to find the best solutions to complex problems It’s about making systems smarter—minimizing costs, maximizing outputs, or balancing trade-offs—often in scenarios too intricate for manual methods




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