Our Solution Enabler - The AI Platform
enabled by tcg mcube
Scalable. Secure. Flexible
Our Solution Enabler
Today, the petrochemical industry is struggling to mine real-time, actionable insights from disparate data sources and unmanageable data lakes. The overflow of data is exponentially aggravated by the implementation of technologies like IoT.
Lummus Digital leverages advanced analytics and AI through a comprehensive, state-of-the-art analytics platform named ‘tcg mcube’. This cutting-edge platform is tailored for Data Engineering, Data Transformation, and Data Governance. With multiple implementations, tcg mcube is integral to the contemporary, data-driven cultures of organizations in the Oil and Gas sector.
tcg mcube Workflow
tcg mcube is the enterprise analytics platform of choice — scalable, secure, and flexible; integrated with AI/ML and high-performance data management. Intuitive and built for speed, tcg mcube enables companies to realize efficiencies and unlock growth.
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Lake House
Data Science & AI/ML
Lake House
Capability
- Data movement: Our Lake House allow import of any amount and type of data in real-time. Data is collected from multiple sources, and moved into the Lake Hosue in its original format. This process allows to scale data of any size, while saving time of defining data structures, schema, and transformations.
- Securely store, and catalog data: Our Lake Houses allow storing relational data like operational databases and data from line of business applications, and non-relational data like operations/ maintenance logs, mobile apps and IoT devices. They also help understand the nature of data in the lake through crawling, cataloging, and indexing of data. Finally, data must be secured to ensure your data assets are protected, be it in cloud, on-premise or hybrid.
- Analytics: Our structured Lake Houses allow data scientists, data developers and business analysts to access data with their choice of analytic tools and frameworks. This includes open source frameworks such as Apache Hadoop, Presto, and Apache Spark, and commercial offerings from data warehouse and business intelligence vendors. Lake Houses allow you to run analytics without the need to move your data to a separate analytics system.
- Machine Learning: Our Lake Houses will allow customers to generate different types of insights including reporting on historical data, and perform machine learning where models are built to forecast likely outcomes, and suggest a range of prescribed actions to achieve the optimal result.
Value Proposition
- Monetization of data by performing analytics and taking decisions
- Lower cost of properly structured and good data and not retaining unnecessary data
- Rectification of centralized data which brings useful data points and helps in prediction accuracy
Data Science & AI/ML
Capability
Businesses are embracing Data Science every day to add value to every aspect of their operations. Right from analysing streaming data, transaction records, storing data and visualizing them for various purposes, at its core, Lummus Digital uses data science to extract meaning and insights from data and hence brings data science as “a combination of information technology, modelling, and business management”.
Machine learning, on the other hand, refers to a group of techniques used by data scientists that allow computers to learn from data. Lummus Digital uses a blend of curated, best-in-class supervised, unsupervised and reinforcement machine learning algorithms and creates a useful model or program by autonomously testing many solutions against the available data and finding the best fit for the problem.
At Lummus Digital, we use combination of Data Science and AI/Machine Learning in solving problems that are extremely labor intensive. This combination can inform decisions and make predictions about complex topics in an efficient and reliable way.
Value Proposition
- Auto training and continuous learning for improved accuracy
- Detecting unknowns using unsupervised and reinforcement learning
- Self-Service model - convenient for both data scientists and domain experts to build models
- Serve as Machine Learning (Predictive) and Machine Reasoning (Prescriptive)
Explore tcg mcube
Lake House
Capability
- Data movement: Our Lake Hosue allow import of any amount and type of data in real-time. Data is collected from multiple sources, and moved into the Lake Hosue in its original format. This process allows to scale data of any size, while saving time of defining data structures, schema, and transformations.
- Securely store, and catalog data: Our Lake Houses allow storing relational data like operational databases and data from line of business applications, and non-relational data like operations/ maintenance logs, mobile apps and IoT devices. They also help understand the nature of data in the lake through crawling, cataloging, and indexing of data. Finally, data must be secured to ensure your data assets are protected, be it in cloud, on-premise or hybrid.
- Analytics: Our structured Lake Houses allow data scientists, data developers and business analysts to access data with their choice of analytic tools and frameworks. This includes open source frameworks such as Apache Hadoop, Presto, and Apache Spark, and commercial offerings from data warehouse and business intelligence vendors. Lake Houses allow you to run analytics without the need to move your data to a separate analytics system.
- Machine Learning: Our Lake Houses will allow customers to generate different types of insights including reporting on historical data, and perform machine learning where models are built to forecast likely outcomes, and suggest a range of prescribed actions to achieve the optimal result.
Value Proposition
- Monetization of data by performing analytics and taking decisions
- Lower cost of properly structured and good data and not retaining unnecessary data
- Rectification of centralized data which brings useful data points and helps in prediction accuracy
Data Science & AI/ML
Capability
Businesses are embracing Data Science every day to add value to every aspect of their operations. Right from analysing streaming data, transaction records, storing data and visualizing them for various purposes, at its core, Lummus Digital uses data science to extract meaning and insights from data and hence brings data science as “a combination of information technology, modelling, and business management”.
Machine learning, on the other hand, refers to a group of techniques used by data scientists that allow computers to learn from data. Lummus Digital uses a blend of curated, best-in-class supervised, unsupervised and reinforcement machine learning algorithms and creates a useful model or program by autonomously testing many solutions against the available data and finding the best fit for the problem.
At Lummus Digital, we use combination of Data Science and AI/Machine Learning in solving problems that are extremely labor intensive. This combination can inform decisions and make predictions about complex topics in an efficient and reliable way.
Value Proposition
- Auto training and continuous learning for improved accuracy
- Detecting unknowns using unsupervised and reinforcement learning
- Self-Service model - convenient for both data scientists and domain experts to build models
- Serve as Machine Learning (Predictive) and Machine Reasoning (Prescriptive)
