AI-enabled solutions enhance the value of operations in any industry. They extract valuable insights from collected data through machine-learning algorithms. These algorithms are, first, trained in the data, the machine-learning stage, and then predict an outcome of cases correlated to the ones leaned and seeded as the foundation.
Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts, making predictions about future or otherwise unknown events.
In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a set of conditions, guiding decision-making for candidate transactions. Softlab360 has developed, maintained, and integrated our AI machine-learning platform into customer solutions.
What is it?
- Collection of neuro-network algorithms
- Data Management Utilities
- AI machine-learning processing
- API interfaces for adding custom algorithms
What can it do?
- Prepare data for analysis
- Advise on data not subject to machine-learning
- Apply machine-learning to train the system
- Apply machine-learning to form prediction
What is the value?
- Delivers insight from collected data
- Automates task allowing for prediction
- Provides prediction monetization recommendation
- Supports custom algorithms
- Supports integration of device data
Softlab360 understands artificial intelligence.
We capitalized on this knowledge to create solutions for companies like:
InterGen Data, an AI/ML-based life event prediction and analytic company, has been a Softlab360 (formerly Starpoint Solutions) customer since 2014 when they were just a startup. Their platform calculates probabilities of upcoming life events, projecting income vs. expense utilization around the time period of each life event per demographics by Zip and Zip+4 criteria.
Softlab360 provides the technology InterGen Data uses to implement machine learning and artificial intelligence applying the data they subscribe to. Softlab360 technology includes all the machine learning tools and services, data science methods for classification and/or clusterization of data subject to learning, and algorithms to appropriately select data points in each of the sources they acquire.
With the tools Softlab360 provides, customers of InterGen Data can assist RIA firms in helping their clients to anticipate and predict maintenance costs for the next several life events.
InterGen Data substantially improved their presence in the market with the assistance of Softlab360 when they added predictions based on critical illnesses, especially hereditary diseases.
TD Ameritrade (TDA), currently the Charles Schwab company, is a Broker/Dealer that offers an electronic trading platform for the trade of financial assets including stocks, futures, funds, investments, and more. Softlab360’s experience in building these systems in a proprietary manner was called upon to evaluate a new software TD was purchasing for the back office, trade management and execution.
Softlab360 provided AI/ML platform to enable TDA to apply various methods of machine learning to evaluating large collections of trade data stored at TDA over seven years of trade executions. TDA asked Softlab360 to extract some meaning from the underlying trades, to rank relevance to TDA trade and research products. Using Softlab360’s data science to anonymize and randomize the data, while maintaining the volume, scope, and depth of the data, our results identified patterns in customer behavior that led to isolating customer loss (customer churn problem) and projecting the benefits of new financial product to be offered in trading.