Machine learning Archives • Xeltodigital.com

Artificial Intelligence in manufacturing and logistics

Artificial Intelligence in action: Breakthrough changes in manufacturing and logistics 🚀 Artificial Intelligence (AI) is transforming the world of industry, introducing innovative solutions and optimizing processes on an unprecedented scale. Thanks to advanced algorithms and machine learning capabilities, AI is opening new horizons in many areas of industrial activity. Let’s see how AI precisely affects every aspect – from production to logistics. 🏭 In production: Process Automation – AI significantly increases efficiency and quality, while simultaneously reducing costs. AI systems are capable of analyzing sensory data, detecting faults, and avoiding downtime. Demand Forecasting and Inventory Management – Using advanced prognostic models, AI predicts demand, enabling better inventory management. 🔍 In control: Automatic Quality Control – AI-based vision systems identify product defects, ensuring higher quality. Predictive Maintenance – AI analyzes data from sensors, predicting failures, which minimizes production downtime. 🚚 In logistics: Route Optimization and Fleet Management – AI assists in planning efficient routes, increasing efficiency and minimizing delivery time. Planning of Loads and Warehouses – AI facilitates the organization of warehouse space and the placement of loads. In summary, implementing AI in the industry brings benefits such as increased efficiency, cost reduction, quality improvement, and better resource management. The future of industry will undoubtedly become more and more dependent on innovative solutions based on artificial intelligence. 💡🔝 What are your experiences with implementing artificial intelligence in the industry? Schedule a free meeting – we are eager to share our knowledge and experience on this topic with you 📖 💬 Author: Monika Marczyk, Project Manager

15/11/2023 11:00

The impact of artificial intelligence in video games

Artificial Intelligence: The New Era of Interactive Entertainment 🎮🤖 The video game industry stands on the threshold of a new era, where artificial intelligence (AI) becomes not only a tool but also a partner and opponent in virtual worlds. In this revolution, AI takes our entertainment experiences to a level of interaction and realism that was previously unattainable. 👾 AI-Enhanced Opponents Remember the times when computer opponents were predictable and limited? That’s a thing of the past! Thanks to machine learning, AI in games adapts to your playing style, continually increasing the level of challenge and the realism of tactics. 🌍 Procedural Generation AI algorithms can now create endless gaming worlds with infinite variety. Every game can be unique, which significantly increases its replay value and freshness. 🎨 Player Adaptation AI analyzes your in-game behavior, adjusting difficulty, storyline, and challenges to be just right for you. Forget about one difficulty setting for everyone – now the game “gets to know” the player. 🤖 In-Game Assistants AI can now act as your support in the game, providing strategic suggestions, helping you achieve goals, or even taking over for you in some aspects of gameplay. These are real digital companions of adventure. As enthusiasts of technology and gaming, we are excited about the potential of AI in revolutionizing our approach to entertainment. What once seemed the domain of science fiction is now becoming a reality in our living rooms and on our computer screens. Let us know which AI innovations in games have made the biggest impression on you! 🕹️✨ Author: Monika Marczyk, Project Manager

03/11/2023 10:03

Google Gemini: Redefining the future of AI technology

Google Gemini – the new standard of technology 🌍🚀 Before the Covid era, Google introduced us to the MEENA model – which for a brief moment was the leading language model in the world. Compared to OpenAI and their GPT-2, the difference was huge. 💡 However, OpenAI did not rest on its laurels and soon released GPT-3. Of interest is an internal document by Noam Shazeer (co-founder and CEO of Character.AI) titled. “MEENA Eats the World.” He predicted the phenomenon that became public after the release of ChatGPT. 🔥 It can be said that Noam was a visionary – He contributed to key works such as “Attention is All You Need,” Switch Transformer, and many others. And what about Google? It had the predisposition to dominate, but something went wrong then.📝 ❗But beware, Google is back in the game and intends to top GPT-4 before the end of the year. Today we would like to introduce you to Google’s training systems for Gemini their dynamic development and position in the market. 🚀 Behind Google training systems for Gemini is revolutionary technology. 🧑‍💻 Their approach to machine learning and speed of adaptation of the latest solutions is amazing. They invest in advanced algorithms and care about scalability and efficiency, which makes them a leader in this field. Combined with their rich data and real-time analytics capabilities, Google is taking steps that could redefine the future of artificial intelligence. 🔍 With competition in the AI market growing so rapidly, Google is not only maintaining its position, but also setting the standard for others. 🚀🌍 Author: Monika Marczyk, Project Manager

22/09/2023 10:00

The impact of Artificial Intelligence on business: trends and insights

All eyes on AI – the surge of interest in artificial intelligence, and the scope of its utilization 🤯 The latest survey reveals that organizations are steadily adopting artificial intelligence tools, despite their rapid proliferation. We have some interesting findings here! 📈 55% of respondents report that their organizations have embraced artificial intelligence, but only less than one-third of them have implemented AI in at least two business areas, suggesting that the scope of utilization still remains limited. This percentage has largely remained unchanged since 2021. 🏢 Organizations primarily use artificial intelligence in product development and service operations. These are consistently important areas for AI. 📲🏭 However, only 23% of respondents claim that at least 5% of their organization’s profits from the past year can be attributed to artificial intelligence. This means that there is still plenty of room to harness the potential value of AI. 💰💡 Good news: organizations that use AI continue to see growth in the areas where they employ it and plan to increase their investments in the coming years! 💼 📊 We emphasize the significance of generative artificial intelligence due to its revolutionary potential. However, we also remind that AI holds immense value in non-generative applications. Optimization, forecasting, recommendations – these are areas where AI can truly shine! 💡🌟 In summary, although the overall adoption of AI remains stable, over two-thirds of companies plan to increase their investments in artificial intelligence. 🚀 We eagerly await to see if the growing interest in AI will open doors to broader general utilization in the future! 🌐 Contact us and discover how implementing AI can revolutionize your company 💬 Author: Joanna Sioła, Customer Experience Specialist

08/09/2023 10:30

Automation of invoice processing – RPA and OCR

Automate invoice processing with XELTO DIGITAL robots 🤖📑. “Every Monday morning I am greeted by a huge pile of invoices to manually enter. It’s a frustrating, monotonous and time-consuming task that takes me all week.” 😩💼 Lost invoices, missing payments and endless emails to fix a simple mistake. Manual processes are fraught with problems. ⏳🔍 We live in a data-driven digital world. Don’t get left behind. 💻📊 Document processing automation is not the future, but the current era of digitization that is happening before our eyes. An era where invoice process automation eliminates manual data entry and human error, reduces invoice processing time and unlocks communication bottlenecks. ⚙️🚀 XELTO DIGITAL in partnership with Rossum offers automation of manual tasks with invoice processing software based on machine learning and artificial intelligence. 🤝 🧠 An example of successful implementations is the automation of the AP process. Automated invoice processing software will streamline the entire process from invoice to payment. Instead of spending hours extracting data and formatting invoices, artificial intelligence-based software will do it for you. 📝🕒 AI OCR software – optical character recognition – is a technology that will automatically extract data from an invoice. It saves time and costs for companies, while ensuring accuracy and efficiency. ⏱️💰 XELTO DIGITAL bots will streamline the process of sending data to the system, entering it and approving it according to the rules. 🤖✅ With us, instead of a pile of documents on your desk every morning, you can receive a report of processed documents to your email. 📥📊 Discover more and contact us to explore the possibilities of automation for your business. 📞🤖 Author: Monika Marczyk, Project Manager

16/08/2023 09:37

Intelligent automation implementations

Examples of intelligent automation implementations at top companies💡 Intelligent process automation (IPA) is now being used by more and more companies because of its ability to speed up and automate processes, increase accuracy and process data capabilities 24 hours a day. 🤖 1️⃣ A foreign payments company is using IPA to streamline data extraction and input from multiple sources, including customer service communications, emails, reports and corporate applications. Its goal is to update critical aspects such as customer data, purchases, shipments, inventory and delivery information. The company has harnessed the power of artificial intelligence and machine learning to automate the document analysis process. 📄 2️⃣ One example of the use of IPA is the testing of ad formats in the music streaming service’s application. Previously, employees had to manually test each ad to ensure that the audio and graphics met each ad’s specifications, but they were able to automate this process using IPA, which ensures that the audio and graphics are appropriate for each ad. 🎧 3️⃣ Marketing agency used IPA to automate and optimize various aspects of its customer service process. CEO of the company said IPA is a powerful customer service tool that can create value for both customers and companies. But there will always be a need to combine IPA with human expertise, creating a hybrid model that leverages the strengths of both solutions. 👥 4️⃣ One of the world’s largest investment management organizations has automated solutions such as intelligent document processing. This combines artificial intelligence and automation to quickly and accurately extract data from business documents. As a result, the company was able to modernize its core systems to unify processes, data and customer experience. 📊 Smart automation is the future of work. 🤖 Find out how you can bring IPA to your business and contact us 💬

27/07/2023 10:44

RPA and AI combine for intelligent automation

Intelligent process automation – RPA and AI join forces 🤖 🧠 Business Process Automation (RPA) and Artificial Intelligence (AI) are two of the most innovative technologies of recent years. Both have the potential to significantly improve business processes and increase organizational productivity. The combination of RPA and AI enables the creation of intelligent automation that can surpass the capabilities of either technology separately. With intelligent automation, systems can learn on their own and adapt to changing conditions, make decisions based on data analysis, and perform tasks that are too difficult or complex for humans. As a result, the quality and precision of the tasks performed improves. 📈 The introduction of intelligent automation is a common step after traditional RPA, which excels at handling repetitive tasks without supervision. The next step is to expand automation capabilities by adding artificial intelligence to RPA, which is proving to be a key element for business. By using AI tools such as intelligent document processing or NLP, it is possible to automatically categorize emails or understand their content to handle unstructured text. 📄 📩 Examples of applications of intelligent automation: 💰 Finance: accounting, payment reconciliation and financial reporting. 📊 Administration: scanning documents, creating reports and sending correspondence ⚙️ Production: quality control, production monitoring and production planning 🚛 Logistics: transportation planning, shipment tracking and warehouse management 💬 Customer service: answering customer inquiries, resolving problems and filing complaints We are experts in designing and implementing automation solutions that help our customers improve efficiency, reduce costs, and enhance customer service. 📊 We are confident that we can help you achieve your business goals with intelligent automation! 😃 Get in touch with us! Author: Joanna Sioła, Customer Experience Specialist

20/07/2023 09:50

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