AI gains momentum in core manufacturing services functions

AI gains momentum in core manufacturing services functions AI News, AI, AI tools, Artificial intelligence – MIT Technology Review, Innovation, itinai.com, LLM, MIT Technology Review Insights, t.me/itinai 🚀 How AI is Changing Manufacturing: Practical Solutions and Value 🏭 Manufacturing companies have the opportunity to revolutionize their operations with AI. Windmill manufacturers have already embraced AI to improve efficiency and shorten processes. By using digital twins and machine learning, they can simulate and implement enhancements without spending weeks analyzing data from a functioning prototype. This AI-driven approach can streamline processes, fight downtime, and make operations more efficient. In addition, manufacturers are adopting innovative approaches to data analysis. They are leveraging AI technologies like drones to collect measurements and generate digital representations of their products. These digital twins enable manufacturers to analyze and optimize operations without physically observing prototypes. By harnessing AI and machine learning, companies can process vast volumes of data to identify patterns, predict customer needs, and drive decision-making. To fully unlock the potential of AI in manufacturing, collaboration between business professionals and data experts is crucial. By leveraging data and AI tools, employees can gain insights that lead to actionable improvements in their processes. Manufacturers need to encourage workers to familiarize themselves with AI and use it on a daily basis. This will unlock the maximum benefits of AI adoption and drive continuous improvements in operational efficiency. While the manufacturing sector has shown some progress in adopting AI, it still lags behind other industries. Only 24% of manufacturing companies are at the exploration or experimentation stage, compared to 19% in other industries. To stay competitive and evolve, manufacturing companies must embrace AI and leverage its momentum to transform their core manufacturing services. Here are practical steps to integrate AI into your manufacturing company: 1️⃣ Identify Automation Opportunities: Locate customer interaction points that can benefit from AI, such as customer service or sales processes. 2️⃣ Define KPIs: Ensure that your AI endeavors have measurable impacts on business outcomes. Set key performance indicators (KPIs) to track progress. 3️⃣ Select an AI Solution: Choose AI tools that align with your needs and offer customization options. Consider solutions that automate customer engagement or enhance sales processes. 4️⃣ Implement Gradually: Start with a pilot project to gather data and test the effectiveness of AI. Gradually expand AI usage based on successful outcomes and lessons learned. For expert advice on managing AI KPIs, connect with us at hello@itinai.com. Stay updated on leveraging AI by following our Telegram channel t.me/itinainews or on Twitter @itinaicom. 🔦 Spotlight on a Practical AI Solution: AI Sales Bot Discover how AI can redefine your sales processes and customer engagement. Explore our AI Sales Bot, designed to automate customer engagement 24/7 and manage interactions across all stages of the customer journey. Visit itinai.com/aisalesbot to learn more. 🔗 List of Useful Links: - AI Lab in Telegram @aiscrumbot – free consultation - AI gains momentum in core manufacturing services functions - Artificial intelligence – MIT Technology Review - Twitter – @itinaicom