Client Services and Consultation

Our services vary widely based on client requirements. We have a deep interest in data gathering, normalizing and hosting.

Current projects include gathering data from over 30,000 resources using bots, collecting that data in our system and then standardizing it to meet client needs.  The information we gather goes much deeper than what our clients systems can ingest so we have added functionality to analyze this data in our system and provide the information as required to our clients on a case by case basis.

Machine Learning

We are extremely excited at what seems to be limitless potential from the data analysis/science applied to our systems and incorporated within our processes.

First developing a database that can handle any and all data.  When we say ‘data’, keep in mind that ‘data’ is not yet information and it includes everything from many given sources, in many different formats; structured, semi-structured, unstructured and within these categories you have the many types of data; numbers, text, dates, changing data, all being analyzed.

unstructured to structured data

We have developed processes to not only apply machine learning to a specific application optimized for the task at hand but we have also started the process of broad based learning of the data we are feeding into the system.  This second stage moves us closer and closer to machine learning within the processes.

Once we have a large enough data set and have built many applications into our process the machine learning begins to slowly evolve.

This will enable our system to think.  Currently we have applied many of these principals in our system to adapt to changes in data that we acquire, recognize when data is labeled differently, QA data, and acquire data from other sources when the original source does not contain the necessary data.

We do not have set rules when it comes to defining a project, instead we find the best solution to ‘plug-in’ so we can exceed your goals.

Technologies to meet your requirements

We have done the research and understand what goes into a specific project.  Our system has the ability to scale and utilize systems based on your organization’s needs.  This also allows us to work in phases, adding functionality as your requirements and systems grow. We are experts in building or enhancing a data platform that compliments your current resources, existing platforms and security guidelines.

Technologies used

  • Pivotal
  • IBM Watson
  • Machine Learning
  • Python
  • SAS
  • R
  • Spark
  • Hadoop
  • Splunk
  • Greylog
  • Solr / ElasticSearch
  • SAP Hana
  • Teradata
  • MongoDB

What is??

Data Science is a field that encompasses anything related to data cleansing, preparation, and analysis. It is a study to predict the future based on past patterns. It involves estimating the unknown whilst and generating their own questions.

Data analysis is to discover meaningful insights from data. It involves looking at the known from new perspectives and to find answers to a given set of questions from data.

Machine learning is to learn some task from past experience to improve the performance. It involves the study of algorithms that can extract information automatically.

Data mining is an area that has taken much of its inspiration and techniques from machine learning. It is carried out by a person, in a specific situation, on a particular data set, with a goal in mind. Usually, the goal is either to discover or generate some preliminary insights in an area where there really was only a little knowledge beforehand, or to be able to predict future observations accurately. Common data mining techniques would include cluster analysis, classification and regression trees, and neural networks.

Artificial Intelligence is the study of how to create intelligent agents. In practice, it is how to program a computer to behave and perform a task as an intelligent agent.

Big data is high-volume and high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision-making, and process automation. Big Data analytics find insights that help organizations make better business decisions.

 

Next Steps…

Contact us for an initial discussion of your project, needs and scoping of the project.