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Revolutionizing Demand Planning and Business Forecasting with AI and Women in Supply Chain

Discover the latest trends and innovations in demand planning and business forecasting, including the impact of AI and the contributions of women in supply chain roles. Get insights into upcoming events and the future of technology in supply chain management.

The Role of Women in Supply Chain

⭐Women are contributing in a number of ways to supply chain improvements.

⭐More role models have emerged in the past few years, possibly due to increased focus on women in STEM and technology.

⭐The motivations for women in supply chain roles are diverse.

The Impact of AI in Demand Planning

πŸš€AI is data hungry and the more data you feed it, the better answers it will give.

πŸš€It is important to know what AI is doing and approach it with a specific outcome or use case in mind.

πŸš€Artificial intelligence can automate tasks and drive precision into business plans.

FAQ

How are women contributing to supply chain improvements?

Women are contributing in a number of ways to supply chain improvements.

What is the impact of AI in demand planning?

Artificial intelligence can automate tasks and drive precision into business plans.

What is the upcoming event for demand planners?

There is a boot camp coming up in Austin, Texas for demand planners.

How can AI technology continue to adapt and improve?

AI technology will continue to adapt and improve.

What is the role of natural language models in supply chain planning?

The use of natural language models and artificial intelligence in supply chain planning can enhance decision-making.

Summary with Timestamps

πŸŽ™οΈ 0:40The episode is a deepfake AI creation and the host introduces the podcast.
🚺 4:26Recognition of women's contributions to supply chain improvements and the need for more role models.
πŸ’‘ 8:36Artificial intelligence is about evaluating large data sets and finding better solutions, but it is important to approach it with a specific use case in mind.
πŸ€– 13:06Machine learning is a process where computer systems continually learn and improve based on behaviors and scenarios.
πŸ“Š 17:23The video discusses the benefits of using visual analytics and chat GP in meetings to accelerate the decision-making process.

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