machine learning and artificial intelligence


Machine learning uses statistical techniques to give computer systems the ability to “learn” from data, without being explicitly programmed.  The learning should lead to a progressive improvement for performance on a specific task.

Examples of business problems that are solved through the use of machine learning include:

  • Email spam detection algorithms
  • Product recommendation
  • Image analytics to aid in medical diagnosis
  • Customer segmentation and lifetime value prediction in banks
  • Predictive maintenance on large machines.
here is more information about some of our machine learning services:

data mining

Unlock the hidden value in your data

Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.  It can be performed on structured or unstructured data.  It is at the heart of uncovering real business value and competitive edge that is not obvious in your data.

Examples of how data mining is used in business include:

  • Hotels for helping to set their prices
  • Customized, patient-specific medications and diets
  • Predicting oil demand, oil reserves, oil price and the impact of coal usage.


Predict where your business is headed

Forecasting is the process of making predictions of the future based on past and present data. It commonly uses the analysis of historical and current trends in the process. A common place example is the short-term energy load forecast for the next week’s peak hours at a local utility.

With a team of data scientists that have knowledge in a variety of the latest forecasting techniques such time series, regression analysis, simulation, and proportional hazards and survival modeling, Zencos can help you to start the process.

Zencos has a wealth of experience with helping businesses to refine their predictive outlook including projects in the telco, media and entertainment, oil and gas, government and utilities industries.



Refine your optimization scenarios for more accurate results

In the simplest case, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function.  The generalization of optimization theory and techniques to other formulations constitutes a large area of applied mathematics.  More generally, optimization includes finding the “best available” values of some objective function given a defined domain (or input), including a variety of different types of objective functions and different types of domains.

Optimization techniques are used in business for the following types of problems:

  • Crew scheduling, fleet routing and revenue management in the airline and trucking industries
  • Gasoline blending, contract purchasing and capacity auction in the oil and gas industry
  • Crop planning and feed blending in the agriculture industry
  • Portfolio construction and asset and liability management in the financial services industry


Enhance your simulations for more relevant results

Simulations seek to imitate the operation of a real-world process or system.  The act of simulating something requires that a model be developed that represents the key characteristics, behaviors and functions of the selected system or process. The model represents the system itself, whereas the simulation represents the operation of the system over time.

Simulations are used in business for the following types of problems:

  • Simulation of technology for performance optimization, safety engineering, testing, training, education, and video games.
  • Simulation of power outages for a power company
  • Simulations to help predict the location and severity of hurricanes
  • Sales simulations to predict future revenue under certain conditions
  • Simulations that look at drug effectiveness in the pharmaceutical industry
  • Economic simulations for government forecasts of GNP and GDP

text analytics

Uncover the topics that are beneath the visible text in your corporate documents

Text analytics (also known as text mining), is the process for uncovering high-quality information from text. High-quality information is typically extracted through the realization of patterns and trends through means such as statistical pattern learning.  Unlike databases and other structured data sources that typically are used in data mining, text analytics often revolves around unstructured data.  An example of a problem that uses text analytics to find a solution is when banks use investigator comments regarding suspicious activity reports to draw out the dominant themes, identify emerging risks, and look at the potential impact to the bank.

With a team of data scientists that have experience in a variety of the latest supervised and unsupervised techniques such as topic extraction, sentiment analysis, outcome prediction, and document classification, Zencos can help you to start the process. As a Gold SAS Partner and re-seller, we can provide guidance for your projects that require an evaluation of text mining software and techniques.

From an industry perspective, Zencos has a wealth of experience in the key industries that are commonly known to be at the heart of the key use cases for text analytics such as financial services, health care, government, and manufacturing.

why work with zencos?

With a team of data scientists that have experience in a variety of the latest supervised techniques – including gradient boosting, neural networks and support vector machines – and unsupervised techniques – including clustering, principal component analysis and network analysis – Zencos has the right experience to help you start the process of including machine learning into your analytics capabilities. We can provide guidance for your projects that require an evaluation of machine learning software and techniques.

Zencos has a wealth of experience in deploying machine learning. With multiple projects in healthcare, financial services, telecommunications, media and entertainment, oil and gas, and government, Zencos is well versed in this area.

To take action on implementing or getting the most out of your machine learning algorithms, contact a Zencos expert to discuss software pricing and ordering information or to schedule a consultative appointment to discuss how we can partner with you to put machine learning into action with our award-winning consulting services.

Zencos is a SAS Gold Partner and re-seller of SAS software.

get in touch

Greg Rogers, Director of Business Development: 919.459.4600