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𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐲 30% 𝐨𝐟 𝐀𝐈 30% 𝐨𝐟 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐖𝐢𝐥𝐥 𝐁𝐞 𝐀𝐛𝐚𝐧𝐝𝐨𝐧𝐞𝐝 𝐀𝐟𝐭𝐞𝐫 𝐏𝐫𝐨𝐨𝐟 𝐨𝐟 𝐂𝐨𝐧𝐜𝐞𝐩𝐭 𝐁𝐲 𝐄𝐧𝐝 𝐨𝐟 2025 According to recent research from Gartner, by 2025, at least 30% of generative AI projects will be abandoned after the proof of concept stage. The reasons? ❌ poor data quality ❌ inadequate risk controls, ❌ rising costs ❌ unclear business value. Many executives, eager to see returns on their investments, are now facing unforeseen challenges. Here are Gartner's key findings: - 30% of generative AI projects will be abandoned by the end of 2025. - High costs: implementing GenAI can cost between $5 million and $20 million. - Organizations are struggling to demonstrate clear business value, especially in translating productivity gains into direct financial benefits. - Many CFOs are hesitant to invest today for an indirect and uncertain future value. - Despite the challenges, early GenAI adopters report significant improvements: a 15.8% revenue increase, 15.2% cost savings, and a 22.6% boost in productivity. 👉 Read the full Gartner report: https://lnkd.in/dTtXPCjX 🔵 Start building the future of your business with Xantage. We help companies develop and implement tailored generative AI projects, ensuring that technological innovation drives tangible results. Contact us to explore how AI can transform your business and help you gain a competitive edge. ♻️ REPOST and share with your network —————————————— Like this post? Follow #xantage press “like” and the 🔔 on our profile and/or share with your network.  #xantage #GenerativeAI #DigitalTransformation #AIInnovation #BusinessValue #AIProjects #XantageSolutions #gartner #AI #salesenablement #copetitiveenablement All rights and credits are reserved for the respective owner(s). (DM us for credit & removal)

𝐃𝐨 𝐲𝐨𝐮 𝐤𝐧𝐨𝐰 𝐭𝐡𝐞 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐭𝐰𝐢𝐧𝐬 𝐚𝐧𝐝 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐭𝐡𝐫𝐞𝐚𝐝𝐬? Understanding the difference between Digital Twin and Digital Thread could be the key to unlocking greater efficiency and innovation in your business. These two concepts, though often used interchangeably, play distinct roles in the digital landscape. Our latest blog post breaks down these crucial technologies and explores how they can work together to drive your business forward. In this article, you'll discover: ✅ What a Digital Twin is and how it can be used for real-time simulation and optimization of physical assets. ✅ The broader concept of Digital Thread and how it ensures seamless data integration across the entire product lifecycle. ✅ Key differences between Digital Twin and Digital Thread, including their purpose, scope, and data integration. Whether you’re in manufacturing, aerospace, or any industrial sector, understanding these concepts can give you a competitive edge. 👉 Read the full article now to learn how to leverage Digital Twin and Digital Thread in your business. https://lnkd.in/diccVbZV ♻️ REPOST and share with your network —————————————— Like this post? Follow #xantage press “like” and the 🔔 on our profile and/or share with your network.  #DigitalTransformation #Industry40 #IoT #ManufacturingInnovation #DigitalTwin #DigitalThread #xantage All rights and credits are reserved for the respective owner(s). (DM us for credit & removal)

The fluid technology industry is changing, here's why. The fluid technology industry is undergoing a monumental transformation thanks to the adoption of Artificial Intelligence (AI) and the Internet of Things (IoT). These technologies are driving unprecedented innovations, enhancing operational efficiency, predictive maintenance, and performance optimization. 🔍 Predictive Maintenance and Downtime Reduction With IoT sensors, it's now possible to monitor critical parameters like pressure, temperature, and fluid flow in real-time. AI analyzes this data to predict equipment failures and schedule maintenance before issues arise, drastically reducing downtime. 👉 According to a McKinsey study, predictive maintenance can lower maintenance costs by 10-40% and decrease downtime by 50%. 📈 Process Optimization and Energy Savings AI enables real-time process optimization, adjusting fluid flow based on demand and operating conditions. This not only enhances efficiency but also contributes to significant energy savings. 👉 A report by Markets and Markets predicts that the global AI market in manufacturing will reach $16.7 billion by 2026, with a CAGR of 57.2% from 2021 to 2026. 🌐 Connectivity and Remote Monitoring IoT solutions offer unprecedented connectivity, enabling remote monitoring of plants and data analysis from afar. This capability is crucial for companies operating in challenging environments or remote locations, improving safety and operational reliability. 🚀 A Data-Driven Future Companies that embrace these technologies can leverage the data collected to make more informed decisions, enhance product quality, and accelerate innovation. The value of this data, when properly analyzed and utilized, represents an invaluable strategic asset. 💬 What’s your experience with adopting AI and IoT in your company? Have you already seen the benefits of these technologies? Share your thoughts in the comments! 🔗 Ready to take your operations to the next level? At Xantage, we specialize in helping B2B industrial companies harness the power of AI and IoT for transformative results. Contact us today to explore how we can support your digital transformation journey and drive your business forward. ♻️ REPOST and share with your network —————————————— Like this post? Follow #xantage press “like” and the 🔔 on our profile and/or share with your network.  #DigitalTransformation #FluidTechnology #AI #IoT #PredictiveMaintenance #Industry40 #EnergyEfficiency #RemoteMonitoring #IndustrialInnovation #Xantage #Manufacturing #TechInnovation #DataDriven All rights and credits are reserved for the respective owner(s). (DM us for credit & removal)

𝐓𝐡𝐫𝐞𝐞 𝐂𝐨𝐦𝐦𝐨𝐧 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐀𝐛𝐨𝐮𝐭 𝐀𝐈! 🚀📊 At Xantage, we help your company become AI-ready, which means future-proofing your digital platforms, ensuring high data quality, and building the necessary skills to successfully implement AI. 🔍 We guide you through the entire process—from preparation and training to the implementation and use of AI. Say hello today, and we'll help you take the next step in your digital transformation! 👋 ♻️ REPOST and share with your network —————————————— Like this post? Follow #xantage press “like” and the 🔔 on our profile and/or share with your network.  #DataDriven #AI #BusinessGrowth #Innovation #Analytics #Xantage #AIreadiness All rights and credits are reserved for the respective owner(s). (DM us for credit & removal)

𝐃𝐢𝐝 𝐲𝐨𝐮 𝐤𝐧𝐨𝐰 𝐭𝐡𝐚𝐭 𝐛𝐲 2030, 𝐭𝐡𝐞 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧 𝐨𝐟 𝐀𝐈 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐜𝐨𝐮𝐥𝐝 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞 𝐦𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 𝐬𝐞𝐜𝐭𝐨𝐫 𝐩𝐫𝐨𝐟𝐢𝐭𝐬 𝐛𝐲 𝐮𝐩 𝐭𝐨 39%? Generative AI is leading this charge, driving innovation, optimizing operations, and cutting costs across the industry. Ryan Martin from ABI Research, highlights five prominent use cases of Generative AI that are revolutionizing the manufacturing landscape: ✔ 1. Enhanced Product Quality Control Product quality is non-negotiable in today’s competitive market, where more than 60% of consumers return items due to defects. Generative AI is stepping up to tackle this issue by thoroughly analyzing both historical and real-time data to pinpoint the root causes of product defects. AI can identify where issues are occurring, suggest corrective actions, and even predict the likelihood of future defects. ✔ 2. Optimized Predictive Maintenance While AI has been used to monitor equipment health, Generative AI can accurately forecast when machinery will require maintenance, when a shutdown is imminent, or when a backup system is needed. This precision allows manufacturers to plan maintenance schedules more effectively, reducing unplanned downtime and extending the life of expensive equipment. ✔ 3. Smart Inventory and Procurement Management Generative AI offers a solution by predicting consumer demand with remarkable accuracy, drawing insights from customer behavior, past sales, industry trends, and seasonal patterns. This technology not only optimizes inventory levels but also advises on the best times to purchase raw materials, considering current and projected price fluctuations. ✔ 4. Sustainable Manufacturing Practices With nearly 80% of manufacturing companies focusing on reducing their environmental impact, generative AI plays a crucial role by optimizing product designs to minimize material and energy use, significantly cutting down on waste and carbon emissions. Generative AI can help identify the most eco-friendly materials and production processes. ✔ 5. Efficient Part Nesting in Additive Manufacturing In the realm of additive manufacturing, Generative AI is revolutionizing part nesting—the process of arranging multiple components within the same build area for simultaneous printing. This approach addresses space constraints and accelerates production times. _________________________ 🚀 💡 At Xantage, we empower you to leverage the full potential of generative AI, transforming your manufacturing processes for a more efficient, innovative, and profitable future. Contact us today for a free 30-minute consultation to discover tailored AI opportunities for your business. ♻️ REPOST and share with your network —————————————— #GenerativeAI #ManufacturingInnovation #DigitalTransformation #Industry40 #Xantage All rights and credits are reserved for the respective owner(s). (DM us for credit & removal)

❓ 𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐭𝐡𝐞 𝐭𝐡𝐫𝐞𝐞 𝐦𝐨𝐬𝐭 𝐩𝐨𝐩𝐮𝐥𝐚𝐫 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐩𝐞𝐨𝐩𝐥𝐞 𝐚𝐫𝐞 𝐚𝐬𝐤𝐢𝐧𝐠 𝐆𝐨𝐨𝐠𝐥𝐞 𝐚𝐛𝐨𝐮𝐭 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞? Artificial Intelligence is the hottest #topic of 2024, and among the countless questions asked on Google, these are the most searched. We've gathered them for you, along with their answers. Enjoy the read! 1) Can Artificial Intelligence be dangerous? 😱 Indeed, AI is a powerful tool that, like any technology, can pose risks if not handled responsibly. While regulations like those from the European Union aim to curb the most dangerous uses of AI, it's crucial to recognize that even well-meaning AI systems can inherit biases from their training data. 2) Can Artificial Intelligence be creative? 🎨 Without a doubt! AI is not just a tool but a collaborator in creative processes—whether it’s generating innovative product ideas, composing music, or crafting engaging content. It opens up new avenues for creativity that might not be possible with human effort alone. 3) Will Artificial Intelligence take away jobs? 🤖 AI is undoubtedly transforming the job market, but it’s more about evolution than elimination. AI tools are becoming integral to many roles, just like the internet did in the past. By embracing AI, professionals can enhance their skills and stay relevant in this dynamic environment. 👉 Want to dive deeper into how AI can drive your business forward? Connect with Xantage to find out how our AI-tailored solutions can benefit your business. ♻️ REPOST and share with your network —————————————— Like this post? Follow #xantage press “like” and the 🔔 on our profile and/or share with your network.  #AI #DigitalTransformation #IndustryInnovation #Xantage All rights and credits are reserved for the respective owner(s). (DM us for credit & removal)

🤓 Are you curious about how AI can drive innovation and efficiency in your organization? Generative AI is more than just a tech trend—it's a game-changer that’s reshaping industries and redefining what’s possible. In our latest blog post, we dive deep into what #generativeAI is and explore how it can benefit your business, from enhancing decision-making and driving creativity to improving customer experiences and scaling operations. 🔗 Read the full article now and discover how Generative AI can transform your business. 👉 Link in comment 👈 ♻️ REPOST and share with your network —————————————— Like this post? Follow #xantage press “like” and the 🔔 on our profile and/or share with your network.  #AI #GenerativeAI #Innovation #DigitalTransformation #BusinessGrowth #Xantage All rights and credits are reserved for the respective owner(s). (DM us for credit & removal)

Empower AI model training with #syntheticdata According to a report by Gartner, by 2030, most of the data used in AI will be artificially generated by rules, statistical models, simulations, or other techniques. > Synthetic data, which are artificially generated datasets that mimic the characteristics of real-world data, are becoming a key asset in training AI models, especially in scenarios where data privacy, security, and quality are critical. 👉 What are the advantages of using synthetic data for AI model training? - Privacy and Security: Synthetic data allow for model training without compromising the confidentiality of real-world data, significantly reducing the risks associated with handling sensitive information. - Complete Control: They offer the ability to precisely define the characteristics of a dataset, enabling the creation of tailored data for specific training needs. - Scalability and Balance: Synthetic data facilitate the generation of large, balanced datasets, enhancing the effectiveness and robustness of AI models. - Bias Prevention: By reducing reliance on real-world data, synthetic data help minimize the introduction of biases and mitigate risks associated with toxic or harmful content. - Innovation and Flexibility: They enable rapid experimentation and testing, unlocking new possibilities for innovation without compromising the quality or safety of the models. 🚀 Synthetic data represent a strategic resource for AI model training, offering a unique combination of security, flexibility, and control. 🔵 Contact Xantage today for a consultation and discover how to leverage your data to develop tailored AI projects that can enhance your business. ♻️ REPOST and share with your network —————————————— Like this post? Follow #xantage press “like” and the 🔔 on our profile and/or share with your network.  #Xantage #SyntheticData #AITraining #DataPrivacy #MachineLearning #Innovation #XantageConsulting Image source: Gartner All rights and credits are reserved for the respective owner(s). (DM us for credit & removal)

GIGO ♻ Why Data Quality is Essential for Artificial Intelligence GIGO - Garbage In, Garbage Out >>> if the data used to train an AI model isn’t of high quality, the results will inevitably be inaccurate or misleading. 🔍 Data is the "fuel" for AI. If we feed a model with incomplete, inaccurate, or irrelevant data, we are setting it up for failure. An AI model is only as powerful as the data it’s built on. For companies operating in data-intensive and complex industries like machinery, medical devices, or energy technology, data quality isn’t just a requirement—it’s a critical success factor. 🚀 A successful AI model can provide precise insights, strategic decisions, and competitive advantages only if it’s been trained with high-quality data. This doesn’t just mean having a lot of data, but having the *right* data: - accurate, - relevant - up-to-date. Data quality directly impacts an AI model’s ability to learn, adapt, and generate real business value. 🔵 At Xantage, we understand the critical importance of data quality in the digital transformation process. We work closely with our clients to ensure their AI models are built on solid and reliable data, creating solutions that drive innovation and enhance business outcomes. ♻️ REPOST and share with your network —————————————— Like this post? Follow #xantage press “like” and the 🔔 on our profile and/or share with your network.  #AI #DataQuality #GIGO #DigitalTransformation #Xantage #ArtificialIntelligence #MachineLearning All rights and credits are reserved for the respective owner(s). (DM us for credit & removal)

⛔ How to Avoid Common Mistakes when building your #AIstrategy. Building a winning AI strategy comes with its share of challenges, and identifying them early is crucial to ensuring effective implementation. Here are some of the key obstacles that could stand in the way of success. 🔍 Insufficient Data: The quality and accessibility of data are fundamental. If the available data isn't adequate, the entire AI strategy risks falling short. 💡 Lack of AI Knowledge: A lack of understanding about AI's potential can breed skepticism and resistance, hindering the integration of AI into business processes. 🎯 Misalignment of Strategy: If AI initiatives aren't closely tied to the company's goals, there's a risk of wasting valuable resources without achieving meaningful outcomes. 👩💻 Scarcity of Talent: The absence of qualified AI professionals, or employees' reluctance to upskill, can undermine the execution of the strategy. 🔵 Overcoming these obstacles requires careful planning and continuous commitment. Want to learn more? Read our article: "What is an AI strategy and why every business needs one" to gain a deeper understanding of the importance of a robust AI strategy. 👉 Read the article: https://lnkd.in/ddHgsBfs Xantage Consulting is the go-to partner for creating or optimizing your company's AI strategy. With our expertise in digital transformation, we help businesses navigate the complexities of artificial intelligence, ensuring every initiative is aligned with corporate goals and supported by top talent. 📲 Contact us today for a free consultation call. ♻️ REPOST and share with your network —————————————— Like this post? Follow #xantage press “like” and the 🔔 on our profile and/or share with your network.  #xantage #salesenablement #digitaltransformation #digitaltransformations #AIstrategy #DigitalTransformation #DataDriven #Innovation #BusinessGrowth #AI All rights and credits are reserved for the respective owner(s). (DM us for credit & removal)