Maximizing fuel efficiency is a critical goal for shipping companies. AI algorithms can be used to analyze a wide range of factors that affect fuel consumption. For example, determining the optimal speed for each voyage depends on factors like the ship’s weight, weather conditions, and delivery deadlines. AI algorithms can analyze these factors to recommend the most fuel-efficient speed for each leg of the journey without compromising overall performance or customer expectations. Have you been using AI, statistics or optimization algorithms to predict, analyze and minimize fuel consumption? What are your thoughts on their effectiveness? #AI #analytics #OperationsResearch #predictive #prescriptive
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I’ve wrestled with AI roadmapping from the perspective of customer value. It’s almost a wicked challenge. On one hand, I long for a deeper understanding of customer problems and activities. On the other hand, there’s the urgency to swiftly deliver—a prioritized list of AI initiatives visualized across a time horizon. The pressure to create an AI roadmap persists even when my customer insights are scarce. Today, I revisited an article I had cited in my doctoral thesis. As depicted in the figure below, I find myself navigating a boat, shifting focus from the needs of (potential) customers to the eloquence of AI technology. Does this situation resonate with you as well? While the article didn’t magically solve my roadmapping challenges, it did offer some therapeutic encouragement. I realized I’m not alone in this struggle. Have a nice Easter! #Roadmap #Roadmapping #CustomerValue #AI
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AI can generate structured tables of data quickly and accurately. For instance: "Create a table comparing three electric vehicles, including columns for price, range, and charging time." This use case is particularly helpful for summarizing information or creating mock datasets. #PromptEngineering #DataGeneration #AI #TopVoice
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"Artificial Intelligence is not just the buzzword of the decade—it's the game-changer we didn't know we needed. 🤖 This article dives into jaw-dropping AI statistics that highlight its exponential growth and increasing integration into our daily lives. Because who wouldn't want robots predicting our shopping habits, right? 🙄✨ As young professionals, understanding these trends could unlock new opportunities in our careers and industries. What's your take on the rise of AI? Are we looking at a future of endless possibilities or a life ruled by algorithmic overlords? Let me know what you think! [https://lnkd.in/eYXsbjZc] #AI #ArtificialIntelligence #CareerOpportunities #FutureOfWork #Innovation"
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Forget AGI... This is the REAL AI Revolution 🚀 Tired of AI that overpromises and under-delivers? I was too. Then I discovered RAG (Retrieval Augmented Generation). 🤯 RAG gives your AI the power to access the RIGHT info at the RIGHT time. Think of it as your AI's superpower for better answers and killer customer experiences. But here's the secret sauce: you gotta prep your data right. Chunk, preprocess, embed – sounds easy, but it can be a nightmare without the right tools. What are YOUR favorite tools for RAG? Share below! ⬇️ ↓ Follow Muggalla Rahul to learn about the latest breakthroughs in AI and tech 🚀 #AI #RetrievalAugmentedGeneration #RAG #datascience
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AI is not going to solve your business problems. The same way launching a digital commerce website or a customer portal won't magically solve all your business issues. Yesterday I watched a video of Yuval Noah Harari, the author of Sapiens, where he compared the current state of AI to the amoeba stage. If this is how AI is today, imagine what it could become in the future when it evolves into a dinosaur. But, beyond the hype of AI and any other business tool, we always need to understand the underlying "why." What are we trying to achieve for our business and our customers? I always advise customers who are looking at deploying AI to proceed with caution and not to get carried away by the hype. We should identify the use cases and pain points, and then we can find ways to use AI to address those specific areas. Starting a pilot is easy but scaling them up is extremely difficult. #ecommerce #intershop #ai #artificialintelligence
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In one of my recent presentations on AI, I gave a high level flyover of how it works. One key component that everyone should remember: Data is the lifeblood of any AI system. 🩸 It's like an athlete needs the right fuel to perform, and AI needs high-quality data to thrive. 📊 That's where data observability comes in – making sure your AI models are getting the nutrients they need to make accurate decisions and drive real results. 💪 Think of it as the ultimate meal plan for your AI! 🥗 #AI #MachineLearning #DataObservability #data #Acceldata
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AI on Track: Your New Sidekick? - https://lnkd.in/e8quWyVr The future of railways is intelligent (hopefully!), and artificial intelligence (AI) can play a starring role! But what is it? And what has it got to do with toothbrushes? I explore what AI is, what it isn't and what it could be ⬇ . I try to balance both the pro's and con's and give my views on how I see it. How do you think it had and will change your rail day? #AI #rail #technology #innovation #artificialintelligence #railway #infrastructure
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This is an under 3 minute commitment to learn about unleashing the power of AI in business travel. Join CWT's dynamic team as they unveil the incredible potential of AI for your journey. From transforming data analysis to enhancing productivity, discover where the real opportunities lie. #AI #BusinessTravel #CWT https://cwt.smh.re/EyD
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(2024/3/14) AI tools have become ubiquitous in our lives. An AI website that transforms photos into stickers caught my attention, and after trying it out, it indeed produces very good results. In my courses, I also introduce AI tools and their applications, as well as examples and practical exercises on energy conservation and greenhouse gas inventory. Knowing how to make good use of these tools will be the most crucial goal across various fields in the future. Turn a face into a sticker https://lnkd.in/gz8JWb_A #ai #facetosticker
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#dataquality Interesting to hear about some of the well known and not so well known data quality metrics
If you have bad data and apply Generative AI into the corpus of your bad data, what you will get is more bad data at speed and scale. But hey, fixing bad data is cumbersome and often extremely time-consuming so let’s just go full speed into a new AI technology. #technology #ai #generative #data Follow me if you are looking for an honest, pragmatic and funny perspective on technology. Hit the 🔔 on my profile to get a notification for all my new posts
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