Salah Elkhawatry’s Post

🔥 Unpopular Opinion: AI isn't the silver bullet for every logistics problem. The Hype vs. Reality: → Data Dependency: AI relies on quality data. Without it, AI can underperform or create new issues. → Human Element: Logistics is people-driven. Driver experience and local knowledge are irreplaceable. → Implementation Complexity: Integrating AI requires careful planning, training, and continuous monitoring. When AI Works Best: → Predictive Maintenance → Route Optimization → Inventory Management ⚠️ When AI Falls Short: → Complex Decision-Making → Inadequate Data → High Change Resistance 💭 My Takeaway: AI is a powerful tool but should be combined with human expertise and robust data practices. Over-relying on AI without addressing foundational issues leads to disappointment. ❓ Controversial Question: Is the logistics industry over-investing in AI at the expense of fundamental operational improvements? Do you agree or disagree? Share your thoughts below! 👇 #AI #Logistics #SupplyChain #LogisticsTrends

Is Your Board Ready for the AI Revolution? The rise of Artificial Intelligence (AI) is transforming industries, and Corporate Governance needs to evolve alongside it. But are traditional board structures equipped to handle these new complexities? Here's why AI presents a challenge for traditional governance: Algorithmic Bias: AI models can perpetuate biases present in their training data. Boards need to understand how to mitigate this. Explainability of Decisions: Black-box AI models can make it difficult to understand how they reach decisions. Boards need transparency to hold leadership accountable. The Rise of Automation: As AI automates tasks, boards need to address ethical considerations and ensure human oversight remains. So, how can boards adapt for the AI era? Embrace Diversity: Boards should include members with expertise in AI, data science, and ethics to provide necessary oversight. Upskilling and Education: Existing board members need training to understand the risks and opportunities presented by AI. Strong Governance Frameworks: Develop frameworks that address AI-specific risks and ensure responsible AI development and deployment. The future of business will be heavily influenced by AI. Boards that proactively adapt their governance practices will be better positioned to thrive in this new era. What are your thoughts on AI and its impact on Corporate Governance? Share your insights in the comments! #AI #Governance #FutureofBusiness

Adopting AI in your business is a strategy that many organizations are embracing, from small startups to major enterprises. The benefits? Enhanced efficiency, improved decision-making, and significant cost savings. With AI tools processing massive datasets, identifying trends, and automating mundane tasks, the potential for productivity is monumental. 🚀 However, there are risks to consider. AI systems can produce inaccurate information, and their implementation raises ethical concerns, especially around bias in decision-making. It's crucial to navigate these challenges with care. An alternative approach is to focus on human-led strategies. Relying on human intuition and creativity can complement AI tools, resulting in a more tailored and careful decision-making process. While this method values the essential human element, it may lack the speed and scalability that AI offers. So, what’s the best course of action? A balanced strategy is key. Integrate AI tools with human expertise by prioritizing training and ethical guidelines. This hybrid approach allows you to leverage AI’s power while maintaining oversight and accountability. 🌟 Start by assessing your current operations and identifying areas where AI can assist without overshadowing your team's creativity and ethics. Are you ready to revolutionize your operations? Let's harness the future together! #AI #BusinessStrategy #Innovation #Efficiency #HumanTouch

Why AI Isn’t Always Right – And Why That’s Okay As AI continues to shape the future of work, it’s important to remember that while powerful, AI is not infallible. AI can generate insights, provide suggestions, and automate processes, but it relies on data and algorithms which can sometimes produce unexpected or incorrect results. This AI image of what London will look like in the future is a prime example. So, why might AI be wrong? * Bias in Data: AI learns from data, and if the data is biased or incomplete, the results will reflect those shortcomings. * Contextual Misunderstanding: AI can process vast amounts of information, but it lacks the human ability to fully grasp nuanced contexts or complex emotional undertones. * Changing Environments: AI is based on past patterns, which means it might struggle when faced with completely new or unpredictable scenarios. But here's the good news: AI doesn’t need to be perfect to be incredibly useful. AI is a tool – and like all tools, it’s at its best when guided by skilled human hands. To ensure you get the right results: 1. Human Oversight: Make sure AI is seen as a partner, not a replacement. Teams need to stay involved, using their judgement to verify and refine AI outputs. 2. Continuous Learning: AI systems need to evolve and learn over time, so regularly review and update the data they use. 3. Collaboration is Key: AI works best when integrated into collaborative teams that combine the power of technology with human creativity and critical thinking. AI offers us a world of potential, but don’t let perfect be the enemy of good; the real magic happens when we combine its strengths with our own expertise. It’s not about getting it right every time – it’s about getting better together. #DatascopeSystems #Collaboration #DigitalTransformation #ContinuousLearning

Is AI going to change everything? I don't think so. AI is transformative, but it's not a silver bullet. It streamlines operations and decision-making. It is good at processing data. It can code, write and understand instructions. But: - It cannot replace human intuition. - It cannot innovate. - It has no emotional intelligence. - It cannot understand context. - It misses the nuances of human behaviour. Always remember: technology serves us, not the other way around. --- ✍️ Did I get this wrong? ♻️ Reshare if this was helpful.

Bottom line: Slow, step by step, is much better than fast; As to the rest: Yes, and?

- AI of the day - [91] “”” Generative AI: Reshaping Business Operations and Decision-Making “”” AI’s ability to analyze large amounts of data quickly and accurately is transforming how businesses operate. According to a recent Harvard Business Review report, generative AI is set to disrupt various sectors while presenting ethical and operational challenges. Here are the key takeaways: 🔶 Inclusive Creativity: Generative AI democratizes the creative process by making advanced tools accessible to everyone, fostering innovation and participation across all levels. 🔶 Enhanced Decision-Making: Businesses must invest in knowledge ontologies and adopt AI to improve decision-making and streamline operations. AI-driven insights lead to better strategic choices. 🔶 Trustworthy AI Systems: Building trustworthy AI requires a focus on transparency, fairness, responsibility, accountability, and reliability. These principles are crucial for sustainable AI integration. 🔶 Continuous Improvement: Regular feedback and continuous data streams enable AI to adapt to new information, enhancing performance and decision accuracy over time. 🔶 Ethical Considerations: Data privacy and bias are paramount as AI becomes more integrated into business operations. Ethical AI practices ensure responsible use and public trust. 🔶 Practical Applications: The AI hype often distracts from practical ML applications that deliver real value. Companies should prioritize straightforward, impactful uses of AI technology. 🔶 Long-Term Data Strategy: Sharing data can have long-term consequences. Businesses must consider how their data-sharing practices might benefit competitors or third parties. Adapting to AI capabilities and challenges is essential for businesses. Ethical integration and strategic application of AI can drive significant value and innovation. #AI #Business #EmergingTech #Innovation #HBR #tom2200 #thailandonmars2200 #THtransformation4nextcentury #masterplanfordevelopingcountry #nationalstrategicimplementationplan be —> Original | Professional | Legacy <—

63% of executives think AI will change their business operations within the next three years. AI’s ability to analyse large amounts of data quickly and accurately helps companies make better decisions will change how businesses operate.  This report looks at how generative AI is changing business processes and disrupting different sectors. It also touches on the ethical and operational challenges. Here are the main points: 🔶 Generative AI allows more people to participate in the creative process, by making advanced creative tools accessible to everyone. 🔶 Businesses must invest in knowledge ontologies and adopt AI to make better decisions, and streamline operations. 🔶 To build trustworthy AI systems, we have to focus on transparency, fairness, responsibility, accountability, and reliability. 🔶 Regular feedback and continuous data streams help AI adapt to new information, improve their performance, and make more accurate decisions over time. 🔶 Ethical considerations, including data privacy and bias, are super important as AI becomes more integrated into business operations 🔶 The AI hype often distracts companies from focusing on practical and straightforward applications of ML that bring real value. 🔶 Companies should think about the long-term consequences of sharing data, as it could end up benefiting competitors or third-parties. Businesses need to adapt to AI capabilities and challenges, and make sure to integrate it ethically and into their operations. #AI #Business #Emergingtech

🌟 **The Future of AI in Supply Chain Management: Will AI Take Over Our Jobs?** 🌟 There’s a lot of discussion around AI and its potential to take over jobs. But how capable is AI when it comes to handling complex tasks in supply chain strategy? ✅ **AI could assist with:** - Monitoring supply chain operations - Designing and optimising processes - Simulating scenarios for better planning - Identifying emerging technologies and innovations - Finding potential partners and alliances? But what about making strategic decisions, signing and negotiating contracts, or industrialising contracts? 🤔 While AI excels in providing data-driven insights and automating routine tasks, certain areas still require a human touch: 🔹 **Decision-Making**: Strategic decisions often need human intuition and contextual understanding. 🔹 **Negotiating Contracts**: Negotiations involve complex interpersonal dynamics and trust-building. 🔹 **Industrialising Contracts**: Customising terms to fit unique situations needs human oversight. AI will transform supply chain management by handling data-intensive tasks, allowing humans to focus on strategic, complex, and interpersonal aspects. The future is collaborative, with AI and humans working together to achieve greater efficiency and innovation. #AI #SupplyChain #FutureOfWork #Innovation #SupplyChainManagement #Collaboration

CXO's: Your Gen AI strategy has never been more important. Here's the AI landscape to see where you fall: Effective AI strategy: - More efficient teams - More innovative teams - ROI that YOU can OWN 5 learnings from CXOs globally, based on research from Gartner: 1. Rapid Adoption: 79% of CXOs on-boarding Gen AI over the next 12 months. The question isn’t should I use these tools but instead how can I use these tools to stay ahead of my competition? 2. Top-Down Revolution: 71% CXOs are at the helm, steering towards AI-driven futures. Top-down strategy is key here for effective implementation. 3. Ethics & IP: 70% CXOs say that they are in the process of developing/implementing AI ethics principles/values. Navigating this tech responsibly and right is the only way to go. 4. Functional Impact: From Sales to HR, AI is reshaping departments. As for marketing, 62% have already implemented, or will do in 6 months. And 20% will implement over next 12 months. 5. Costs & Benefits: Anticipate shifts / reductions in headcounts across many functional departments. However, causing productivity boosts and revenue transformations. Budgets were slashed in 2023, might be the same for 2024. This is the year of AI Adoption! Make it work for you and propel business growth! #ai #tech #b2bmarketing