Data Science

Just about everyone has heard of Machine Learning (ML) these days. This great and powerful concept (or is it a tool, or a program…?) that magically looks at their data and makes all the problems go away. Machine Learning certainly offers some powerful tools to attack various types of data problems, but it’s only one tool in a larger arsenal that is more collectively known as Data Science.

Kapmetis can help you survey all the Data Science tools available and pick the best one for your situation. We can also deep dive on your data problem for you. Neural Networks on platforms aimed at deep learning can do amazing things it’s true. If you’re just starting out, don’t have a lot of data, and/or most of it isn’t truthed you might find that NN don’t get you anywhere fast enough.

Real World Applications

Kapmetis has experience working with real-world industrial and scientific data. Much of the ML that one hears about, and others work on, has to do with web-based data : pick movies this user will like given their viewing history; figure out what ads to serve to this user based on their path across the web. While these situations can certainly benefit from ML and Data Science in general, working with real-world infrastructure or machine data can hold some additional challenges.

Kapmetis is happy to help you figure out how to apply smart analysis to your data. Are you in an industry that involves lots of monotonous analysis? Do you find yourself comparing thousands of lines of spreadsheet rows, or large data files by hand? You should contact Kapmetis LLC and see if this analysis can be made faster, more efficient, and more accurate by employing Data Science tools.

Kapmetis has done work in several real-world industries.

• Spectroscopy – There is a lot of information that can be ascertained about a material by looking at the precise wavelengths of light it absorbs or emits. While often simple single peak heights can suffice, sometimes there are interfering peaks that take a more sophisticated solution to model. Kapmetis has experience creating software to handle such analyses at simple and sophisticated levels.
• Infrastructure – Oil and Gas Pipelines – Most of us can agree that it’s best if pipelines do not leak; the environmental, safety, and economic impacts can be substantial. Kapmetis has helped a leading innovator in this space create new software, based on Data Science, that more efficiently, more quickly, and more accurately detects areas that may be a risk on a pipeline. This allows pipeline operators to evaluate and repair these areas before they leak. Previously, operators spent whole man-weeks aligning and analysing just a fraction of the data coming from a new pipeline (PIG) inspection. Now, ALL the new data can be aligned in minutes and pipeline engineers can start evaluating all the risk areas right away.