Celanese’s Post

The slides from my presentation today at the Enterprise Technology Leadership Summit online conference are now online. Thanks Gene Kim for inviting me to present! https://lnkd.in/dWkgEvv4

AI on the Agenda: Three Tactical Strategies for Boards

Hyperparameters’ Impact Takeaways! Batch Size 🤌 Impact: Increase to have more stable and smoother update to the Neural Network = Learning Time increase as a result, car actions take more time to generate because it would need higher experience buffer (memories). But if too small, then there will be very little relation between data points for the machine to learn. Learning Rate 🤌 Impact: Helps to decrease learning time by increasing how likely the behavior sticks, but can be counter productive on bad reward functions. Keep in mind, smaller the LR, longer for the model to converge (Converge: Reach the 100% lap completion rate and no longer gain positive habits or ML Behaviors). Discount Factor 🤌 Impact: Impacts how far ahead the model looks when deciding the actions to take to get around a track. We usually lower the discount factor, let’s say to 0.9, 0.95, 0.97 from the original to increase the model’s ability to go faster. High complexity tracks with sharp turns should benefit from a higher than or equal to 0.97 discount factor. 🤌 Analogy: Small kid, “I want your goal is to walk a step forward, that’s 1 cookie.” = low DF. Let it learn how to walk first before you teach how to make that kid run. Epochs Definition: The number of passes through the training data to update the neural network weights during gradient descent. 🤌 Analogy: Imagine reading a book. Reading once = 1 Epoch. Reading one more time = 2 Epochs, and you gain new insights that you missed last time. It just adds time, may not converge if it takes too much time. Entropy Definition: The added uncertainty helps the AWS DeepRacer vehicle explore the action space more broadly. More Knowledge Blogged Here: https://lnkd.in/gZurhE4A #DeepLearning #ReinforcementLearning #MachineLearning #Concepts

Our latest Shift*Academy newsletter covers a lot of metaphorical territory from #LLMs as atoms to the need for model sommeliers to help pair LLMs with use cases. News, analysis, and some tips for executives wanting to get started with #AIadoption in the enterprise. Read Lee Bryant's insights and #leadership advice here: https://lnkd.in/dQJxPpuT #enterpriseAI #digitaltransformation

A recent HBR piece highlights the pressing issue of inventory glut in supply chains, urging the adoption of sustainable practices to convert excess into opportunity. This analysis underscores the potential for AI and other technologies to revolutionize how businesses manage surplus stock, turning challenges into opportunities for efficiency and sustainability. As we navigate these complex supply chain dynamics, it's crucial to explore solutions like TrustClarity Inc. that not only address inventory glut but also contribute to a more sustainable and resilient future. #InventoryGlut #SustainableSolutions #SupplyChainInnovation #HBRInsights The Next Supply-Chain Challenge Isn’t a Shortage — It’s Inventory Glut (hbr.org)

#AI value is created by carefully balancing game-changing business opportunities with its business, legal and societal risks. Get it right and you'll responsibly scale AI to fuel company-wide priorities. To help navigate the AI opportunities, Domino Data Lab co-founder and CEO Nick Elprin will address attendees of the Spring NYU SPS x INTELLIBUS AI Masterclass in NYC May 10-12. Take a look at the program details and register here https://lnkd.in/gt5UcQmY. #artificialintelligence #ResponsibleAI #GenerativeAI #GenAI #datascience #machinelearning #ml #mlops #AIatscale #EnterpriseAI #leadership

I really like this perspective from Andrew Patton on using #artificialintelligence in #localgov “Where can I spend my time for the employees! I represent and citizens that I serve, instead of writing emails back.” This is a great example of applying a servant leadership framework to #genai #aiforlocalgov

Thanks Micah Gaudet! If you are interested in AI topics, follow Micah! He’s the man!

It’s going to be a thought provoking conversation about the evolution of competencies for learning, performance, and other talent functions. And the future with AI? Of course! Hope you can join us!

AI's integration into team environments is often hailed as a game-changer, but does it truly enhance team performance? Let’s not jump to hasty conclusions based on one study, but there are definitely some key learnings here for us as leaders. Curious about your thoughts-comment below 👇🏽 #Leadership #ArtificialIntelligence #TeamPerformance #Innovation #DigitalTransformation #FutureOfWork