HOW DOES AI HELP BUSINESSES TO IMPROVE PRODUCTIVITY? Artificial Intelligence will have the power to boost business productivity by 40% and more by 2035, as Accenture report says. There are many manufacturing companies, intending to integrate AI into their communication and legacy information systems in order to deliver substantial cost, time and overhead saving quickly. Artificial Intelligence betters the manufacturer’s outcome through advanced automation, capital and labor augmentation, plus innovation transmission. For instance, by assessing incidents and events in real-time, AI is programmed to give initial warning of prospective problems, so advise alternative solutions. All these advantages mean that AI does have the potential to improve profitability of any business by 38% and by 2035. Why is AI the future for distinct manufacturing? Artificial Intelligence helps with distinct manufacturing to unlock imprisoned value in their operations. Machine-enabled networks are able to understand a trillion pieces of information in seconds, employing the right solution at the fingertips of decision makers. Your data or information are constantly being updated, meaning your AI models are likely to be updated too. Your organization can always access the latest data, including groundbreaking, which further can be applied to any hyper-dynamic business atmospheres. The three most important AI advantages are: Faster and more confident decision making – You can hardly tell what should be fixed first at your manufacturing plant. Well, AI, on the other hand, automates and prioritizes your business’ daily decision-making process, thus your maintenance team could focus on what to fix first. Instant access to useful Big Data insights – One of the most brilliant chances with AI is its skills to determine and comprehend patterns in Big Data what humans are currently unable to do. AI is as well able to predict future prospects and suggest effective actions your manufacturing company can make the most of to capitalize on them. Protection to sensitive data – AI helps eliminate all possible human errors that ultimately improve the bottom line of the business, strengthening cybersecurity. Robust cybersecurity is essential, for it protects proprietary, sensitive data in manufacturing and to ensure competitive edge. Improved accuracy in forecasting demand – Did you know your system can test hundreds and thousands of mathematical models of business and productivity possibilities? More so, they can be more precise in their assessment while acclimatizing new data such as supply chain disruptions, sudden changes in demand or new product launching. As per McKinsey’s latest report, machine learning can cut inventory cost upto 50%. Moreover, AI also ensures efficient inventory management. A job that usually takes staffs one month or more to complete at supermarkets, it can now be completed within 24 hours