Data science and decision support are nothing new to the energy industry. Many industry giants have long relied on large quantities of data to make decisions. Oil and gas producers now capture even more detailed data in real time at lower costs and from previously inaccessible areas, using it to improve oilfield and plant performance. Utility providers are able to mine data to improve the customer experience, increase operational efficiencies, and maximize revenues.
Mosaic provides expert energy AI consulting to all sectors of the energy world. Our data scientists have experience working for utilities and oil companies, but they also bring to bear techniques and expertise from different verticals, truly designing and deploying innovative, yet appropriate solutions.
In this case study, Mosaic fine-tuned language models to analyze text and quantify public sentiment to explain commodity pricing with AI. Our team used sentiment model outputs to extract insights regarding price trends for a specific commodity and predict future price movements.
AI and LLMs are not just a technological leap; they’re a strategic imperative. By embracing this evolution, businesses gain a distinct advantage—staying ahead of the competition, enhancing stakeholder experiences, and optimizing both time and costs. In this white paper, we explore our top LLM business applications.
Mosaic built a custom voice search solution using deep learning and state-of-the-art language models to intelligently parse complex mechanical operation manuals and return the desired search results
Graph analytics is a classic network science technique that is making waves due to the advancements in Graph Database Technology (GDB) and the integration of machine learning techniques (i.e., neural networks), to solve a wide range of use cases. No need for a map to figure this one out – Principal Data Scientist, Daniel Salazar is giving us the full scoop as our guide.
Mosaic Recently Contributed AI/ML Services to a Custom Application that Alerts on Carbon Emissions and Recommends Renewable Energy Portfolios. The company is also working with a leading risk management software firm to accelerate corporate ESG adoption.
We explore how ML & optimization can aid the risk assessment and management process with an eye towards robustness and resiliency.
Both descriptive analytics and machine learning models can benefit greatly from using geographic data analysis to solve segmentation use cases.
We sat down with Senior Data Scientist Alex Tennant for his perspective on the opportunities and complexities of NLP and how Mosaic is paving the way for the consistent evolution of this powerful technology.
Network science and simulation provide a robust framework for the study of network systems in all their complexity.
Mosaic was contracted by multi-national manufacturer of construction and mining equipment to develop a proof-of-concept predictive maintenance model to predict equipment failure before it happens to minimize downtime and optimize maintenance schedules.