RECAP: Latest Sale takes lessons from the track with Udemy and McLaren Racing during the 4th June 2025 showcase, “Udemy and McLaren: Data driven decision making lessons from the track.
https://www.rednirussuppliers.com/thanks/ https://clinicacampus.com/rayos-x/ Elise Rooney, Udemy Integrated Marketing Manager opened up the second in the McLaren Racing and Udemy “Lessons from the Track” series.
The audience was treated to a stellar performance from:
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- Stephen Lane, Senior Race Engineer, https://osteomedical.com.br/sinbone-n/ NEOM McLaren Formula E Team
- Udemy Instructor Partner, Dr. Ryan Ahmed, also Assistant Professor, Deputy Director for the Center for Mechatronics & Hybrid Technologies (CMHT) at McMaster University and principal author/co-author of over 40 journal and conference papers in artificial intelligence, battery systems, electric and hybrid powertrains, and autonomous systems.
In particular, the panel focused on exploring how data-driven decision-making powers performance on and off the track so that participants could leave the seminar with clear, ready-made strategies destined to drive more considered and effective business results.
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Order Ambien Overnight Dr. Ryan Ahmed extraordinaire, conception of real-world challenges
Dr. Ryan Ahmed, a best-selling online instructor is known for his passion for applying AI and data science to real-world challenges, thanks to his background in electric vehicle batteries and autonomous driving and applied enterprise expertise honed at several high profile corporate giants including General Motors and Stellantis, across the AI, Electric, and Autonomous vehicle disciplines.
Ahmed’s philosophy on best practice for developing strong data governance include:
- Setting clear objectives.
- Adopting a process of cleaning the data.
- Reviewing data digest levels used to train downstream and to train AI models.
- Start small with services such as AWS Sagemaker.
- Have cross functional teams in place; data scientists plus domain experts.
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Get Ambien Online Udemy Instructor Partner, Dr. Ryan Ahmed, also suggest that attention should be paid towards empowerment and access to tools that go beyond PROMPT AND RESPONSE
functions, bearing in mind that an AI AGENT is now able to absorb data, cleanse it, and then train multiple models that are later deployed.
Ahmed’s guide to best practice for AI Agent deployment include:
- Attribution to management, orchestration, and validation of outputs.
- Ensure ethics and accountability.
- Validate responses that distinguish between which agents to deploy.
- Training AI agents to meet your goals.
- Evaluate LLMs, by asking multiple AI models the same question.
- Deploy a process of human evaluation of LLMs, compare performance, and develop processes for research of blind tests.
- Keep track of all experiments/ lessons learned. Ensure tools and KPIs are tracked and shared.
- Create safe, cross functional teams, deploy features, gather feedback, adjust and pivot, to gain momentum and tune into optimized business agility.
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