The Statistical Scientist's Industry Perspective on Productizing AI/ML Models
Abstract
For both data scientists and software developers, the shift from AI/ML models to production-ready AI-based systems is a problem. At this study, we present the findings of a workshop held in a consulting firm to learn how practitioners see this change. The key topics that arose, starting with the need to make AI experiments repeatable, were the usage of the Jupyter Notebook as the primary prototype tool and the absence of support for software engineering best practises as well as functionality particular to data science.
References
Gupta, K., Jiwani, N., & Whig, P. (2023). An Efficient Way of Identifying Alzheimer’s Disease Using Deep Learning Techniques. In Proceedings of Third Doctoral Symposium on Computational Intelligence (pp. 455-465). Springer, Singapore.
Singu, S. (2021). Comparative Analysis of Artificial Neural Networks. International Journal of Machine Learning for Sustainable Development, 3(4). Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/192
Singu, S. (2018). Blockchain based answer for comfortable Audit logs. Transactions on Latest Trends in IoT, 1(1), 21-30. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/166
Reddy, Yeruva Ramana, State-of-The-Art Review of Some Artificial Intelligence Applications In Deep Excavations (June 6, 2021). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.g589-g592, June-2021, Available at SSRN: https://ssrn.com/abstract=4211923
Reddy, Yeruva Ramana, Accident Prediction In Construction Using Hybrid Wavelet-Machine Learning (October 10, 2021). International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 10, pp.d721-d724, October 2021, Available at SSRN: https://ssrn.com/abstract=4211459
Whig, P., Kouser, S., Velu, A., & Nadikattu, R. R. (2022). Fog-IoT-Assisted-Based Smart Agriculture Application. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 74–93). IGI Global.
Whig, P., Nadikattu, R. R., & Velu, A. (2022). COVID-19 pandemic analysis using application of AI. Healthcare Monitoring and Data Analysis Using IoT: Technologies and Applications, 1.
Whig, P., Velu, A., & Bhatia, A. B. (2022). Protect Nature and Reduce the Carbon Footprint With an Application of Blockchain for IIoT. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 123–142). IGI Global.
N. Jiwani, K. Gupta and P. Whig, "Novel HealthCare Framework for Cardiac Arrest With the Application of AI Using ANN," 2021 5th International Conference on Information Systems and Computer Networks (ISCON), 2021, pp. 1-5, doi: 10.1109/ISCON52037.2021.9702493.
Reddy, Yeruva Ramana, Artificial Intelligence in Geotechnical Engineering: Applications, Modeling Aspects, and Future Predictions (June 1, 2014). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 1, page no.880-883, June-2014, Available at SSRN: https://ssrn.com/abstract=4211911
Reddy, Yeruva Ramana, A Critical Review of Artificial Intelligence Applications In Tbm, Natm & Nmt Tunnels (October 4, 2014). IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.1, Issue 4, Page No pp.937-940, October 2014, Available at SSRN: https://ssrn.com/abstract=4211898
Reddy, Yeruva Ramana, Prediction Of Maximum Surface Settlement Caused By Earth Pressure Balance (EPB) Shield Tunneling With ANN Methods (November 4, 2014). IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.1, Issue 4, Page No pp.668-671, November 2014, Available at SSRN: https://ssrn.com/abstract=4211892
Reddy, Yeruva Ramana, Modeling Load-Settlement Behavior of Driven Piles Embedded In Cohesive Soils Using Artificial Neural Networks (May 2, 2014). IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.1, Issue 2, Page No pp.941-944, May 2014, Available at SSRN: https://ssrn.com/abstract=4211901
Reddy, Yeruva Ramana, A Case Study On The Predictive And Prescriptive Analytics In Underground Space Structures (May 2, 2015). International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.3, Issue 2, pp.547-550, May 2015, Available at SSRN: https://ssrn.com/abstract=4211455
Reddy, Yeruva Ramana, Genetic Programming for Modelling of Soil–Structure Interactions (September 9, 2015). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 9, page no.884-887, September 2015, Available at SSRN: https://ssrn.com/abstract=4211915
Reddy, Yeruva Ramana, An Empirical Study on The Methods And Instruments For Automated Geotechnical Monitoring (July 3, 2016). International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.4, Issue 3, pp.542-546, July 2016., Available at SSRN: https://ssrn.com/abstract=4211450
Reddy, Yeruva Ramana, Applications of Artificial Intelligence and Machine Learning in Geotechnical Engineering (February 2, 2017). International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 2, page no. pp425-428, February-2017, Available at SSRN: https://ssrn.com/abstract=4211917
Reddy, Yeruva Ramana, Automation of The Digital Information Workflow In The Geotechnical Design Process (October 4, 2017). IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.4, Issue 4, Page No pp.664-667, October 2017, Available at SSRN: https://ssrn.com/abstract=4211889
Reddy, Yeruva Ramana, Modelling Soil Behaviour in Uniaxial Strain Conditions by Neural Networks (May 5, 2018). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.1460-1463, May 2018, Available at SSRN: https://ssrn.com/abstract=4211918
Reddy, Yeruva Ramana, An Empirical Study On The Benefits of Civil Systems Connectivity and Automation – A Discussion In The Context of Metro Transport (August 3, 2018). IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.5, Issue 3, Page No pp.9, August 2018, Available at SSRN: https://ssrn.com/abstract=4211896
Reddy, Yeruva Ramana, Automatic Damage Detection Using Machine Learning And Deep Learning (November 4, 2018). International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.5, Issue 4, Page No pp.660-663, November 2018, Available at SSRN: https://ssrn.com/abstract=4211885
Reddy, Yeruva Ramana, An Empirical Study on The Best Prediction Model of Water Inflow Into Drill and Blast Tunnels Among Several Machine Learning Techniques (February 2, 2019). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN-2349-5162, Vol.6, Issue 2, page no.888-891, February 2019, Available at SSRN: https://ssrn.com/abstract=4211902
Reddy, Yeruva Ramana, Automation and Artificial Intelligence in Construction and Management of Civil Infrastructure (May 5, 2019). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.429-432, May 2019, Available at SSRN: https://ssrn.com/abstract=4211907
Reddy, Yeruva Ramana, A Machine Learning Framework For Predicting Displacements Due To Deep Excavations And Tunnels (October 4, 2019). International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.7, Issue 4, pp.366-369, October 2019, Available at SSRN: https://ssrn.com/abstract=4211434
Reddy, Yeruva Ramana, Forecasting Displacement of Underground Caverns Using Machine Learning Techniques (December 12, 2020). International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 12, pp.3438-3441, December 2020, Available at SSRN: https://ssrn.com/abstract=4211457
Tunguturi, M. (2018). Avoid Road Accident Using IoT. Transactions on Latest Trends in IoT, 1(1), 31-40. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/167
Singu, S. (2021). Network based Weaknesses & Countermeasures. International Journal of Sustainable Development in Computing Science, 3(3), 47-52. Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/179
K. Gupta, N. Jiwani and N. Afreen, "Blood Pressure Detection Using CNN-LSTM Model," 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT), 2022, pp. 262-366, doi: 10.1109/CSNT54456.2022.9787648.
