Abstract

  The start of a new decade brings a new wave of technological change and unprecedented opportunities that will generate massive amounts of data at the level of Big Data (BD), spawn new threats and transform the way we do business. Dealing with such enormous data structurally or unstructured-wise and process it in real-time requires a new innovative technology such as Artificial Intelligence (AI). Today, AI is capable of learning from its experience through the element of its Machine Learning (ML) in conjunction with the Deep Learning (DL) component and using them to adjust to new input and perform human-like performance, or at least to complement and enhance human abilities. Because of this capability, it encompasses every aspect of the enterprise in the years to come. That is why we believe AI, Automation, and Analytics are central to the success of the enterprise and encompass critical business areas, including data, business processes, the workforce, and risk and reputation.

Keywords:Artificial Intelligence; Machine Learning; Deep Learning; Resilience System; Forecasting and Related Paradigm; Big Data; Fuzzy Logic; Industrial Robotics

References

1. B Zohuri and F Mossavar-Rahmani. “A Model to Forecast Future Paradigm, Knowledge Is Power in Four Dimensions”. Apple Academic Press, a CRC Press, Taylor and Francis Group (2019).
2. B Zohuri and F Mossavar-Mossavar. “Artificial Intelligence Driven Resiliency with Machine Learning and Deep Learning Components”. International Journal of Nanotechnology and Nanomedicine2 (2019): 1-3.
3. Zohuri B and Moghaddam M. "Business Resilience System (BRS): Driven Through Boolean, Fuzzy Logics and Cloud Computation: Real and Near Real Time Analysis and Decision-Making System". 1^st edition, Springer Publishing Company (2017).
4. B Zohuri and F Mossavar Rahmani. “Artificial Intelligence Versus Human Intelligence A New Technological Race”.
5. Splunk Company internal white paper under title of “Three Companies IR Operations Machine Data, Shake Well Business Problems Solved”.
6. "An Overview of Public Key Infrastructures (PKI)". Techotopia (2015).
7. Public Key Infrastructure". MSDN (2015).

Citation

Citation: Bahman Zohuri.,et al. “Forecasting Future of Manufacturing Systems Driven by Artificial Intelligence: Recent Progress and Future Directions".Acta Scientific Pharmaceutical Sciences 4.5 (2020): 46-49.