Glenn A. Steinberg’s Post

🔗 🄽🄰🅅🄸🄶🄰🅃🄸🄽🄶 🅂🅄🄿🄿🄻🅈 🄲🄷🄰🄸🄽🅂 🅆🄸🅃🄷 🄰🄸: https://on.ft.com/3OSRiTN 📰 Financial Times coverage on the growing integration of AI in supply chains sheds light on key aspects that are reshaping the industry: 𝐒𝐮𝐩𝐩𝐥𝐲 𝐂𝐡𝐚𝐢𝐧 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬: 🌍⚡️ Geopolitical tensions and disruptions underline the need for adaptive supply chain strategies. 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐏𝐨𝐰𝐞𝐫: 🤖🦸 Emerging as a game-changer, generative AI is empowering smarter decisions in complex supply chain scenarios. 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐲 𝐒𝐡𝐢𝐟𝐭: 📜📈 Evolving regulations, particularly in sustainability, are driving the adoption of AI for enhanced compliance and ethical practices. While the article touches on these vital aspects, it overlooks a significant use: 👀 leveraging Generative AI to understand and navigate the complex global trade regulations themselves. This is what we do at Besso: we’ve harnessed AI to create a single source of truth regarding trade regulation. 𝗧𝗿𝗮𝗱𝗲 𝗰𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 𝗶𝘀 𝗮𝗯𝗼𝘂𝘁 𝘁𝗼 𝗯𝗲𝗰𝗼𝗺𝗲 𝗮 𝗹𝗼𝘁 𝗲𝗮𝘀𝗶𝗲𝗿 𝗮𝗻𝗱 𝗺𝗼𝗿𝗲 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲. Find out more at www.besso.co #AI #GlobalTrade #RegTech #TradeCompliance #TradeRegulation

AI's Future Impact: Transforming Stock Market Analysis AI-driven stock market analysis promises transformative implications as algorithms evolve to provide deeper insights and predictive capabilities. Studies forecast a significant increase in AI adoption, with the global AI in finance market expected to reach $11.3 billion by 2026. Moreover, AI's real-time data processing enables quicker reactions to market shifts, potentially reducing risks and maximizing returns. Case studies like JPMorgan's COIN showcase AI's efficiency in processing legal documents in seconds.                                                                                                 However, ethical considerations and regulatory compliance remain paramount for maintaining investor trust and market integrity. Collaborative efforts between AI developers, regulators, and industry experts are essential to shaping a responsible AI-driven future in stock market analysis. In conclusion, AI's future impact on stock market analysis holds immense potential to revolutionize the industry, but it must be accompanied by a commitment to ethical standards and regulatory oversight. #AI #StockMarketAnalysis #FutureTrends#FutureImpact #Ethics #Regulation

🌐 Considerations in Building Trustworthy Supply Chain AI Models Everybody today talks about AI. Are you also thinking about how to use it? Here are some key considerations when developing and deploying these models: 1. Transparency 📖: Can stakeholders understand how the model works? Providing a clear view of the logic and decision-making process of the model is essential for building trust. 2. Data Quality 📊: Garbage in, garbage out. Ensure that the data being used to train the model is of high quality, relevant, and free from biases. 3. Explainability 🤔: It's not enough to have a model that works – stakeholders need to know WHY it works. Using tools and techniques to make AI decisions understandable is crucial. 4. Robustness & Resilience 💪: Supply chains are complex and dynamic. Models should be robust to changing conditions and resilient to adversarial attacks. 5. Ethical Considerations 🌍: From data sourcing to decision implementation, every step should be evaluated for its ethical implications. This ensures that the AI acts in the best interest of all stakeholders. 6. Continuous Monitoring & Feedback 🔍: As with any system, regular monitoring and feedback mechanisms are key to ensuring ongoing trustworthiness. 7. Stakeholder Collaboration 🤝: Engage with everyone involved in the supply chain to understand their concerns and ensure the AI model aligns with their needs and priorities. In the age of Industry 4.0, integrating AI into our supply chains can offer unprecedented efficiency and insights. But as we embrace this future, let's remember the importance of trust. By considering the above points, we can build AI systems that are not only smart but also worthy of our confidence. Share your thoughts on other considerations! 🚀 #SupplyChain #AI #Industry40

Another interesting take on AI in Supply Chain! However, not so sure that the control tower terminology is wide enough to describe a future where AI is actually embedded into supply chain operations! Cheers! Transforming supply chains with AI: achieving agility and efficiency https://lnkd.in/gKBnCSbR #AI #SupplyChain #ArtificialIntelligence #transformation #agility #efficiency #continuous #operations #improvement

“In the ever-evolving landscape of #manufacturing production, where the lines between information technology (IT) and operational technology (OT) blur in the pursuit of #innovation, Aristotle's timeless virtues provide a framework for integrating #AI responsibly in a manner that aligns technological advancements with ethical principles and human values.” Read more in Helena Jochberger’s blog as she explores the responsible use of AI in manufacturing.

“In the ever-evolving landscape of #manufacturing production, where the lines between information technology (IT) and operational technology (OT) blur in the pursuit of #innovation, Aristotle's timeless virtues provide a framework for integrating #AI responsibly in a manner that aligns technological advancements with ethical principles and human values.” Read more in Helena Jochberger’s blog as she explores the responsible use of AI in manufacturing.

“In the ever-evolving landscape of #manufacturing production, where the lines between information technology (IT) and operational technology (OT) blur in the pursuit of #innovation, Aristotle's timeless virtues provide a framework for integrating #AI responsibly in a manner that aligns technological advancements with ethical principles and human values.” Read more in Helena Jochberger’s blog as she explores the responsible use of AI in manufacturing.

“In the ever-evolving landscape of #manufacturing production, where the lines between information technology (IT) and operational technology (OT) blur in the pursuit of #innovation, Aristotle's timeless virtues provide a framework for integrating #AI responsibly in a manner that aligns technological advancements with ethical principles and human values.” Read more in Helena Jochberger’s blog as she explores the responsible use of AI in manufacturing.

“In the ever-evolving landscape of #manufacturing production, where the lines between information technology (IT) and operational technology (OT) blur in the pursuit of #innovation, Aristotle's timeless virtues provide a framework for integrating #AI responsibly in a manner that aligns technological advancements with ethical principles and human values.” Read more in Helena Jochberger’s blog as she explores the responsible use of AI in manufacturing.