Few recent developments in South East Asia are below:

Article Influence of Industry 4.0 on the Production and Service Sect...

https://www.phoneworld.com.pk/industry-4-0-a-solution-to-pakistans-economy/

I hope these links can help you:

https://www.kaggle.com/atulanandjha/temperature-readings-iot-devices/discussion/120916#latest-698662

https://www.kaggle.com/anshumoudgil/shrink-wrapper-industry-4-0-or-iiot/comments#722249

https://www.kaggle.com/general/117394#674916

https://www.kaggle.com/search?q=industry+4+and+iot+in%3Adatasets

https://data.lab.fiware.org/dataset/smart_energy_data-_aachen__cologne_smart_factory

Dear Mrs. Suja Radha ,

I hope these links can help you:

1. Conference Paper Industry 4.0: the Future Concepts and New Visions of Factory...

2. https://www.ptc.com/de/solutions/digital-manufacturing/industry-4-0?cl1=IoT_SCO_Industrie_4.0_Google_CLC-cpc-36569&cmsrc=Google&cid=7015A000001p1JwQAI&elqCampaignId=14655&gclid=EAIaIQobChMIkbiKl6CJ6AIVGqaaCh2acAi1EAAYAiAAEgLfbfD_BwE

3. https://ec.europa.eu/growth/tools-databases/dem/monitor/sites/default/files/DTM_Industrie%204.0.pdf

4. https://www.plattform-i40.de/PI40/Navigation/EN/Home/home.html

Best regards,

Dragan Vuksanović

Dear Colleagues and Friends from RG,

The fourth technological revolution, known as Industry 4.0, is currently beginning. The development of information processing technology in the era of the current technological revolution referred to as Industry 4.0 is determined by the development and increase of applications of ICT information technologies, internet technologies and advanced data processing. The current technological revolution referred to as Industry 4.0 is motivated by the development of the following factors: Big Data Analytics analytical and database technologies, Data Science, cloud computing, machine learning, personal and industrial Internet of Things, artificial intelligence, Business Intelligence, autonomous robots, horizontal and vertical data system integration, multi-criteria simulation models, additive manufacturing, Blockchain, cybersecurity instruments, Virtual and Augmented Reality and other advanced data mining technologies. On the basis of the development of these new technological solutions, the processes of innovatively organized analyzes of large information collections gathered in Big Data database systems and information processing in the cloud computing for the purposes of applications in such fields as machine learning, Internet of Things, artificial intelligence have been dynamically developing in recent years. , Business Intelligence. To this can be added other areas of advanced technologies for analyzing large data sets, such as Medical Intelligence, Life Science, Green Energy, etc. Processing and multi-criteria analysis of large data sets in Big Data database systems is carried out according to the V4 concept, i.e. Volume (meaning large number of data), Value (large values ??of specific parameters of the information analyzed), Velocity (high speed of new information appearing) and Variety (high information diversity). Information technologies and advanced data processing technologies of Industry 4.0, including machine learning technologies, artificial intelligence, business intelligence, artificial intelligence, Big Data database systems enable the continuation of the process of improving research methods and conducting economic and financial analyzes. The application of the Industry 4.0 technology should facilitate the construction and improvement of a multifactorial indicator model, thanks to which it would be possible to accurately forecast the probability of e.g. the appearance of a financial crisis in an enterprise, an increase in liquidity risk and bankruptcy. Multifactorial indicator models have been built for many years, thanks to which the probability of the occurrence of a financial crisis in the near future in a given company, in a company, in a financial institution, i.e. in the microeconomic perspective is forecast. Theoretically, it is possible to build a multifactorial indicator model for mesoeconomic or macroeconomic approaches. It is necessary to gather and process large amounts of market and economic information describing the state of entire economies and many key, major corporations and financial institutions, primarily operating on many markets and on an international scale. Industry 4.0 technologies enable the continuation of the process of improving research methods and conducting economic and financial analyzes based on increasing information resources from many business entities and from various sources of information contained on the Internet. The use of information technologies in computerized advanced information processing, Industry 4.0, increases the possibilities of building a multifactorial indicator model for the meso-economic or macroeconomic approach. If this type of multifactorial indicator model would be built mainly from market indicators typical for the analysis of the functioning of financial markets, capital markets, the stock exchange market and indicators describing the macroeconomic state of the entire national economy and additionally enriched with analytical data describing the state of finances and development prospects of key, the largest, multinational corporations and financial institutions operating on many markets and internationally, then perhaps a multi-factor indicator model could be developed, thanks to which it would be possible to accurately forecast the probability of a financial crisis in the enterprise, an increase in liquidity risk and bankruptcy (in microeconomic terms) and possibly also forecasting the likelihood of the next global financial crisis (in macroeconomic terms). I conduct research in the field of applications of Business Intelligence analytics and Big Data database technologies in the processes of supporting business management. The conclusions of the research I published in scientific publications that are available on the Research Gate portal. I invite you to cooperation.

Best wishes.

Dariusz Prokopowicz

Now the industries are moving towards the automation which is like a revolution i.e. usage of sensors, but some issues b/w sensors and automation which can be improved.