Introduction
- April 15, 2022
Managers who are tempted to feel elated at the prospect of having access to all the data they could ever wish for, soon realize it is a data sword of Damocles* hanging by a thread, ready to snap and bury them if they can’t find a way to unlock its value.

* The parable of the sword of Damocles teaches us that no matter how good someone’s life may appear, it’s difficult to be happy living under existential threat.
Managers who are tempted to feel elated at the prospect of having access to all the data they could ever wish for, soon realize it is a data sword of Damocles* hanging by a thread, ready to snap and bury them if they can’t find a way to unlock its value.



* The parable of the sword of Damocles teaches us that no matter how good someone’s life may appear, it’s difficult to be happy living under existential threat.
The Modern Historian


Features of a modernized historian
- Cloud-base
- Scale up/down to any workload requirements
- Real-time data ingest
- Integrated and standardize data from any industrialized data source
- Feature stores
- Versioning
- Low Code/No Code programming
- Advanced Analytics, AI/ML
MLOps No Longer an Option
Having said all of the above, little is accomplished if these advanced AI/ML platforms are not managed with MLOps best practices. The entire end-to-end data pipeline, from raw data intake to actionable insights, must itself be industrialized. MLOps ensures your ML pipeline can create, train, evaluate, validate, deploy and monitor the quality of ML models and update them when performance starts to degrade.
Data scientists require a laboratory for experiments which can then be automatically deployed into your ML pipeline for full lifecycle management. Everybody knows that Henry Ford didn’t make automobiles – he made the assembly line, which made automobiles. Your ML pipeline is the product, which if done well, will generate endless business value.


Benefits of MLOps Best Practices
Optimize Operations and Reduce Cost | Increase Quality and Model Effectiveness |
Automation eliminates manual practices | Capture knowledge and expertise |
Continuous Integration/Delivery/Training | Version everything for repeatability |
Reduce time-to-value | Transparency for regulatory/ethical compliance |
Eliminate technical debt | Continuously monitor model performance |
Onboard new employees quickly | Manage failures in production |
Final Thoughts
Check us out at www.tcgdigital.com.
About tcg mcube


tcg mcube is an advanced analytics and AI Platform, which allows users to create compelling business solutions for tackling complex industry problems. With its modular architecture, tcg mcube handles many data sources, and it provides an efficient “cut-and-fit” into legacy environments if needed. Its mantra: Velocity to Value.
- Ingest structured and unstructured data from diverse sources
- Store ingested data within big data stores and data lakes
- Provide a library of algorithms for ML and AI
- Create stunning visualizations using a powerful BI library
- Empower the modern Data Historian
- Enable MLOps to optimize data value