Combining the power of technology and mathematics
to solve complex business problems
Data science is the use of scientific methods, processes, and algorithms combined with technology to extract knowledge and insights from data assets. It requires a cross-disciplinary approach that incorporates mathematics/statistics & algorithms, programming, data engineering, analysis, visualizations, and storytelling. We complement our data science skills with domain expertise, allowing us to extend the value of your data in the right context. The benefits are more efficient and effective use of your data, creating better insights and empowering decision makers. Definitive Logic has the expertise to help you understand the most appropriate data science techniques to address specific business objectives.
Artificial Intelligence/Machine Learning
Machine Learning (ML) is a subset of Artificial Intelligence (AI). With AI focused on mimicking a human’s cognitive functions, it’s critically important to establish robust and ethical AI methods early in the analytics journey. ML is the application of AI to help computers learn without instruction, iteratively refining models by learning and improving without human intervention. We use a variety of techniques associated with AI that include neural networks, deep learning, heuristics, Support Vector Machine (SVM) algorithms, Robotic Process Automation (RPA), and Natural Language Processing (NLP).
Predictive analytics leverages historical data to make calculated predictions about future unknown events. These predictions are based on models that are built, trained, tested, tuned, and implemented. Our success with creating more accurate predictive models is based on a combination of industry expertise and technical skills. We utilize feature engineering to create smarter, more relevant, and therefore more valuable datasets. We then employ techniques to extract meaningful and actionable information from the data. We apply techniques such as regression analysis (linear & logistic), classification, time-series analysis, and decision trees to separate noise from the signal.
Optimization is the process of maximizing or minimizing a key metric (known as the objective function). Examples include maximizing profits, minimizing costs, or determining the best possible routes. In a climate where constrained resources can severely impact a business’s operations, it is important to make the best use of what is available. There is no room for waste in any part of the value chain whether it’s time, money, people, inventory, or transportation. We treat your business challenges as our own and empower our data scientists to build well-tuned optimization models that deliver the best outcomes possible given the constraints.
- Natural Language Processing (NLP) to reduce time and manual effort when processing unstructured files
- Predictive Maintenance (PdM) to better manage assets while reducing risks and costs
- Supply-Chain Optimization (SCO) to maximize efficiencies across manufacturing and distribution
Definitive Logic’s customer Army G-9 Installation Resource Integration Team wins at DoD FM Awards Ceremony
Definitive Logic (DL) is excited to share that one of our customers, the Installations Resource Integration Team (IRIT) in Army Deputy Chief of Staff (DCS) G-9 for Installations, was recently recognized at the annual DoD Financial Management (FM) awards ceremony that...
Definitive Logic is proud of the opportunities we have to support IFMA and introduce Asset Management and ISO 55000 to new audiences. See Jack Dempsey's interview with Rich Stuart from Cartegraph that was posted on the Global Edition of IFMA Insider (August 5th)...
Before I hung up my uniform and retired from the Army, I was once asked about the new civilian clothing policy that was implemented at Army Futures Command based on our interaction and co-location with the academic community. I answered that in or out of uniform we...