Novi Systems launched in 2018 as a spinoff of NC State University. Our goal is to empower companies with the benefits of AI and data analytics. This requires that we provide the following for our customers:
- An easy to use system that doesn’t require data science expertise.
- Automated workflows that protect customers from the misapplication of AI techniques to their data so that users can be confident in the results.
- Provide an affordable solution that costs less per year than a data scientist.
- Provide necessary consulting and training so that customers can solve their business problems on their own.
- Constantly innovate our platform to include new features and capabilities.
- Provide quick return on investment – customers must see useful results quickly.
Our solution is called Fusion Analytics. With Fusion Analytics, our customers can leverage their data confidently and economically to improve the efficiency of their organizations.
Why Novi Systems?
There is no single set of tooling that can meet an organization’s business needs when it comes to collecting and fusing data, analytics, and AI integration for the purpose of making data driven decisions. Our approach is to let the question drive the technology. When this occurs, it allows us to use the most efficient compute methods to extract relevant information in a timely manner. Machine cycles aren’t wasted and meaningless correlations aren’t proposed as being relevant because “the machine said so”. Rather, the human helps us determine context and specificity which informs the machine’s capability to search and sort. This feedback loop coupled with classification and other parsing algorithms results in meaningful and continuously learning (cognitive) applications.
Have you tried artificial intelligence, machine learning, and natural language processing at great expense to tell you something that you already know? Rather than building machine-only solutions, Novi Systems builds intelligence augmentation systems that allow you to apply your expertise to your complex datasets. This solution provides the following benefits:
- You remain in control of the process.
- The results are useful.
- The outcomes are focused on the problem at hand.
- Avoid creating a useless solutions.
The world of data analytics is focused on the allure of Artificial Intelligence; the use of algorithms to sift through data and establish relationships or model data based on Defined Boundaries. Unfortunately, many decisions are more ambiguous than determining the number of cars in a parking lot or whether the object is a cat or dog. Fundamentally, compute systems do not deal well with ambiguity. Machines can adjust mathematical models (think factorials) to describe relationships but the boundaries must be defined. What the machine can’t do is establish causal relationships or answer the “why”. The why is often ambiguous, requiring non-obvious relationships or require supplemental data. This is domain that NoviSystems addresses with its Intelligence Augmentation Systems. We develop the query systems that facilitate data fusion, collection and relationship building that allow the analyst to determine the “why” that drives the problem under investigation.
We employ the latest techniques in unstructured text analytics, machine learning, and visualization to create systems that allow you to apply your expertise to generate useful insights. Machines handle the tedium of data processing, calculation and visualization. Only you can bring the expertise needed to transform the complex data into insights for your business
Mike oversees the overall strategic direction of Novi Systems in addition to being the lead for development of analytical applications.
Prior to starting Novi Systems, Dr. Kowolenko was the Director of the Institute of Next Generation Computing, an Industry Fellow in the Center of Innovation Management Studies, and Research Professor in the Department of Computer Science at North Carolina State University.
Before joining NCSU, Dr. Kowolenko was a senior executive in the pharmaceutical industry where his last position was as Senior Vice-President of Technical Operations and Product Supply in Wyeth’s Biotechnology and Vaccine Division.
He has consulted with and instructed multiple companies and government agencies in the use of analytics in business decision making.
John handles the day to day of running Novi Systems.
Prior to Novi Systems, John was the technical director of NC State University’s Institute for Next Generation IT Systems for twenty-five years. Along the way, John helped launch six companies – most are spinoffs from NC State University.
John earned BS and MS degrees in Electrical Engineering from NC State University.
Andrew is a software architect at Novi Systems.
Before Novi Systems, he was a software engineer and research associate at NC State University’s Institute for Next Generation IT Systems.
He graduated in 2009 from NC State University with a BS in Computer Science, and in 2013 from Duke with a Master’s in Computer Science.
He specializes in web and systems development, and infrastructure automation.
Meaghan builds the Machine Learning and Natural Language Processing features of Fusion Analytics.
She started working part-time at NC State University’s Institute for Next Generation IT Systems as a student in 2013 where she developed an interest in augmented intelligence.
After graduating from NC State University with a BS in Computer Science in 2015, Meaghan moved to a full-time developer position at ITng before joining NoviSystems in 2018.
Michael is a software architect at Novi Systems focusing on the interactive data visualizations in Fusion Analytics.
He holds a Master’s degree in Computer Science from UNC Chapel Hill where he researched computer hardware security using formal modeling. During his time there he developed a memory forensics tool for extracting databases from memory snapshots.
Before going to graduate school, Michael developed computer vision software to detect counterfeit pharmaceuticals and fraudulent documents at a small startup.
Customer Support, Infrastructure, and DevOps
Jesse is a customer support engineer at Novi Systems. He develops software to manage our Fusion Analytics deployments, development activities, and infrastructure.
He has a deep fascination with the operational aspects of programming as well as operating systems programming. He graduated from NC State in 2018 with a bachelor’s degree in Computer Science.
During his studies, he worked with NC State University’s Institute for Next Generation IT Systems by developing web applications and web crawlers that use Natural Language Processing.