Data 4.0

Data 4.0. Industry 40 is bringing about the convergence of information technology (IT) and operational technology (OT) systems creating interconnectivity between autonomous manufacturing equipment and broader computer systems OT data from sensors PLCs and SCADA systems is being integrated with IT data from MES and ERP systems.

Big Data and AI analytics In Industry 40 Big Data is collected from a wide range of sources from factory equipment and Internet of Things (IoT) devices to ERP and CRM systems to weather and traffic apps Analytics powered by artificial intelligence (AI) and machine learning are applied to the data in real time – and insights are leveraged to improve decisionmaking and automation in every area of supply chain management supply chain planning logistics management manufacturing R&D Phone (800) 8721727.

Industry 4.0: Make DataDriven Decisions Immediately

But How Did This Lead to The Fourth Industrial Revolution?Es of Use of Big Data in Factories 40Big Data and Business StrategyT Would Industry 40 Be Without Big Data?We Help You Structure Your DataThe interconnection between systems and computers and the ability to analyselarge amounts of data have made possible the existence of intelligent machines that can make informed decisions without any human involvement The Internet of Things (IoT) has been connecting elements for many years but the value extracted from the data through the Big Data has taken the term to a new level The Internet of Systems > The amount of information produced by IoTand today’s manufacturing systems must be translated into actionable ideas That’s why Big Data classifies the information collected and draws relevant conclusions that help improve companies’ operations in the following ways 1 Improving warehouse processes Thanks to sensors and portable devices companies can improve operational efficiency by detecting human errors performing quality controls and showing optimal production or assembly routes 2 Elimination of bottlenecks Big Data identifies variables that can affect performance at no extra cost guiding manufacturers in identifying the problem 1 Predictive demand More accurate and meaningful predictions thanks to the visualization of activity through internal analysis (customer preferences) and external analysis (trends and external events) beyond historical data This allows the company to modify/optimiseits product portfolio 2 Predictive maintenance Data fed sensors identify p The analysis of the Big Data provides valuable information on key elements such as markets or business directions identifying which ones will potentially generate the highest profits It is fundamental for making strategic decisions such as expansion and development plans or financial analysis It has therefore become an indispensable source for the industrial sector in two main aspects Modern factories are becoming increasingly complex and interconnected creating new challenges that automation driven by Big Data can address The large amounts of data resulting from the IoTand modern computer systems have enabled intelligent factories to quickly boost their efficiency and make significant gains in terms of increased uptime accelerated production and reduced errors The possibilities of interconnection facilitated by the IoT have been creating very large and complex information networks Without the Big Data 40 technologies would not have been able to decipher and extract value from all that information in order to learn generate predictive analysis patterns and operate autonomously and in such a precise manner Therefore without Big Data there would have been no 40 industry nor the intelligent technologies that support it The Nexus Integra integrated operations platform and its advanced technology system allows you to apply Big Data and AI in an industrial environment The platform will guide you through the entire process from data acquisition to data exploitation offering you a structured Big Data platformthat makes it easy for data scientists to apply technologies such as AI and Machine Learning in line with your company’s strategy Nexus Integra as an integral operations center and Big Data platform allows you to extract all the value from the data.

What is Industry 4.0 and how does it work? IBM

Ustry 40 A Changein The Business MindsetData Fuels Industry 40Challenges AheadConclusionWhy talk about Industry 40 instead of advancements inInformation Technology Industry 30? Each industrial revolution with faster and more efficient results greatly changes how people think of and do business Companies are experiencing this type of radical shift today as shown by Germany Trade & Invest(GTAI) the economic development agency of the Federal Republic of Germany The First Industrial Revolution occurred with engines powered by steam and water Factories opened transforming manufacturing that had been done on the homestead or farm During Industry 20 electricity led to the rise of massproduced goods and new devices such as the telephone and automobile Industry 30 captured the use of information technology Entire processes could be automated The personal computer allowed people to take work home Advances in biological technologies meant people lived longer Ecommerce and Amazoncom demonstrated a more efficient supply chain delivering goods at less cost Da Companies have better access to data and processing capabilities Sensors on the Internet of Things (IoT) means that data can be tracked in every step of product creation manufacturing and delivery Through cloud computing data can be stored processed and queried from almost anywhere Smartphones allow managers to view this information from the factory floor Machine learning intelligently automates tasks such as identifying and correcting a product flaw in midproduction Digital twins — prototypes of products and services — highlight both process efficiencies and potential points of failure before a company spends too much time and money on it Data assets form the core optimizing processes quality and transactionflow ideally on the fly These newer technical abilities have contributed to rising consumer requirements for ondemand information from one place Users want to see all the information and know what actions to take immediately Consider the Nestthermostat Owner How fast Industry 40 comes tofruition depends on how quickly companies meet data challenges Companies needa solid data foundation across the enterprise and the means to build andmaintain such a structure Bettina TratzRyan a Research Vice President at Gartner commented that CIOs in Germany Austria and Switzerland (the DACH region) lack IT and business resources to shift into Industry 40 These problems intensify said Gary Bloomfrom Forbes when “companies have a mishmash of databases and software systems from acquisitions” Cybersecurity related to having good data connections and foundation will also prove to be a major obstacle toward adopting Industry 40 For startersData Quality is called into question when a hacker has injected bad data into the system Second data can be noncompliant due to unintended leakage vulnerabilities and unauthorized access Finally Industry 40 relies on less human intervention and more automated processing by intelligent machines Bu Data will continue to drive Industry 40 into a new business mindset This transformation is in progress and will continue to grow Forming a strong data foundation with a firm Data Strategy will be critical in driving Industry 40 and well worth the time as a CEMEX case study shows In the meantime start small with Industry 40 advises Ran Poliakine in Forbes and then scale upfrom there Industry 40 will not happen overnight but companies can lay the groundwork and be ready for when it accelerates Image used under license fromShutterstockcom.

Big Data in Industry 4.0 Importance & Use Cases

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