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Just completed the "Artificial Intelligence and Business Strategy: Case Studies" course led by Anil K. Gupta and Haiyan Wang, in partnership with the National Association of State Boards of Accountancy (NASBA). Explored practical AI applications across diverse industries, from Agriculture to Retail, Healthcare, Finance, Energy, and Environmental sectors. Learnings include:   🔍 Discover how AI enhances efficiency and functionality in various sectors. 🌱 Understand the role of AI in genetic engineering and biotechnology. 🛍️ Explore autonomous retail store operations for increased efficiency. 📊 Learn about AI's impact on insurance industry applications. 🌍 See how AI benefits power generation and electrical grid management. 📈 Case studies illustrate real-world applications and value creation with AI.   #AIforBusiness #BusinessStrategy #RealWorldAI #ContinuousLearning

Ready to revolutionize your approach to product development in Chemicals, Materials, and Formulations? Register today for NobleAI live webinar as we debunk common AI & ML myths! In today's digital landscape, data hurdles often hold back innovation. In this webinar, we will discuss misconceptions like:  "We don’t have any data"  "We need to digitize all data first"  "Our data is a mess/Our data is scattered" Tues. May 21 - 9am PT | 11am CT | 12pm ET Register Today!: https://lnkd.in/gxsDXkRU #ML #Chemicals #Materials #Formulations #Webinar #Innovation #ScienceBasedAI

I am thrilled to share that I have successfully completed the “Artificial Intelligence Case Studies in Different Business Industries” course by Haiyan Wang and Anil Gupta! 🎉 This course was an eye-opening journey into the transformative power of AI across various industries. From healthcare and manufacturing to retail and finance, it showcased real-world case studies that highlighted how AI-driven solutions are revolutionizing business operations and decision-making. I particularly enjoyed exploring how predictive analytics, automation, and machine learning are reshaping processes, enhancing customer experiences, and driving innovation. The course not only deepened my understanding of AI applications but also reinforced my passion for leveraging advanced technologies to solve complex challenges. Completing this course has been both enlightening and empowering, providing me with actionable insights and tools that I am eager to apply in my academic projects and professional pursuits. I’m excited to continue exploring AI's endless possibilities and contribute to its meaningful implementation in industries like pharmaceutical manufacturing and beyond. Grateful for this opportunity to expand my knowledge and grow in such a dynamic field! 🌟Check it out: https://lnkd.in/gttzYv6b #artificialintelligenceforbusiness.

20 Surprising Functions And Fields GenAI Is Revolutionizing (And How) https://lnkd.in/gAb_GTrS

I'm thrilled to share that Prof. Caryn Heldt and I will co-chair the Bioseparations: Process and Modeling Session at the AIChE Annual Meeting, scheduled for October 27-31, 2024, in San Diego, California. We warmly invite submissions for this session. This session will spotlight the latest progress in understanding bioseparation processes and overcoming regulatory challenges. It emphasizes the use of process analytical technologies, in-line sampling, big data analytics, artificial intelligence (AI), and machine learning to improve predictions and outcomes. We're looking for contributions on experimental and theoretical research, innovative methodologies, new modeling techniques, and applications of AI and data science to boost the efficiency, reliability, and control of bioseparations. Deadline to submit: Monday, April 8, 2024, 11:59 PM ET Please submit your abstracts at https://lnkd.in/gP9mdy-U #aiche #chemicalengineering #sustainability #innovation #bioprocessing #biorefinery

Don’t miss next week's webinar on Hybrid Model Driven Optimal DoE. Discover the power of iterative experimentation with hybrid models for process optimization. This webinar will explore how model-based approaches can drive continuous improvement in process understanding and challenge commonly held methods in experimental design. Key Highlights: • Accelerated Learning: Understand how this approach quickly identifies regions of interest for efficient optimization. • Iterative Experimentation: Learn how suggesting new experiments iteratively enhances process understanding. • Pareto-Front-Guided Decision Making: Understand how exploration and exploitation can be used for better decision-making. • Account for measurement errors: Incorporate the ability to measure different variables with different precisions into the Optimal Experimental Design Join us to see how this approach leads to significant improvements in process design and planning, as well as challenge traditional DoE and factorial designs. Don’t miss out on this opportunity to learn about these cutting-edge techniques for bioprocess development.   📅 Date: July 31st 🕓 Time: 16:00 CEST / 10:00 ET   Register now to secure your spot: https://lnkd.in/dQE5TqWy #Webinar #ProcessOptimization #ModelBasedDesign #Processdevelopment #AI #Innovation

#IBMConsulting is pioneering the evolution of Generative AI Productivity measurement and setting new benchmarks. Checkout the post below to find out more. #IBMConsultingAdvantage #PML

🚀 Excited to share a presentation on GrafCompounder! Discover how advanced AI is transforming rubber compound development with multi-criteria analysis, real-time simulation, and smart data integration. See how GrafCompounder works for you to streamline formulation processes, enhances data management, and accelerates decision-making—all without the need for extensive lab trials. Perfect for anyone in rubber processing and material science! Insights that could change your approach to compound development. 💡 #Innovation #AI #RubberProcessing #MaterialScience #GrafCompounder

My absolute highlight of the TEDAI Vienna conference so far was the discussion of Sepp Hochreiter with Ramin Hasani (Liquid AI) about the obstructions and next steps in AI Innovation. Sepp Hochreiter stated, that the genesis of AI can be clustered in three phases: 1️⃣ research from the middle of the 20th century on 2️⃣ scaling through LLMs, which we experience right now 3️⃣ industrializing AI. Big innovations, such as the invention of the steam engine or agricultural fertilizers (referring to the Haber-Bosch process) have followed the same trajectory. So, being in the phase of scaling up, the next huge step is industrializing AI and this is where NXAI is heavily pushing forward. I am curious what next steps we will see from them in terms of industrialization.   ⚠️ One more aspect of their thought-provoking discussion was, while AI development is speeding up and xLSTM is making it way more efficient, AI adoption in the European industry is seriously lagging behind. I had to opportunity to ask Sepp Hochreiter and Ramin Hasani how they perceive the reactions of industry leaders and where they see the reasons for “lame AI adoption”. Their answer: Missing understanding of the technology and a high risk perception due to high adoption costs of big models seriously hinder our economies from profiting from the AI game. 🔑 So the biggest challenge – besides scarce compute capacities - is definitely the human aspect. Means of making people understand and shaping risk perception are key in letting our society prosper with the technology – which means creating good for all – as well as making money big time. 💡 And the solution to this challenge is obvious: #aistorytelling makes people understand (provably). Shaping risk perception and human behavior is the missing variable in the AI equation. This is why we at DATA story LAB® dedicate all our energy in showing the way and enabling our customers and partners to fill this gap and finally speed up AI adoption to achieve what AI is promising to us. This is the only reason we are here for. Follow me and the DATA story LAB® to learn more about speeding up #AIadoption and reducing #AIfear. #datastorytelling #aistorytelling #behavioraleconomics #artificialintelligence