NLP Logix Teams with ADVOS Legal to Establish Ethical and Legal Use of AI Resource
Responsible AI For the past decade, NLP Logix has been designing, developing and implementing artificial intelligence and machine learning solutions for our customers across the United States. As one of the fastest-growing AI/ML companies in the US, it is important that we ensure that we are making our best efforts to keep up with the growing number of laws and pending legislation that can impact the way we deliver customer solutions services. To accomplish this task, NLP Logix has partnered with ADVOS Legal to regularly update a new page on the NLP Logix website, providing current information on the latest legal issues that could impact AI/ML solutions development. In addition, NLP Logix meets twice a month with ADVOS to discuss both legal and ethical use of the AI/ML tools that we use every day to deliver automation solutions to our customers. “ADVOS Legal has been our general counsel for four years and has guided us through this extremely high growth period in the history of our company,” said Ted Willich, CEO, NLP Logix. “Gwen Griggs and her team have had a front row seat on the details and strategies of organizations deploying AI/ML solutions so we knew they were [...]
A Note From Our Data Science Solutions Architects on ChatGPT
What is it? Why is it a big deal? If you’ve been online in the last few months, the topic of ChatGPT is difficult to avoid. In fact, ChatGPT overtook AI in Google searches! In the most basic terms, ChatGPT is an algorithm that can generate human-like text from a prompt. ChatGPT is an advanced natural language processing (NLP) technology called a transformer that can understand the meaning of natural language text and generate human-like responses. What makes ChatGPT special is that it has been trained on a vast corpus of text data and uses advanced algorithms to understand and process natural language input. ChatGPT provides accurate and helpful responses to users and constantly learns from provided feedback. Transformer models, first developed by the Google Brain team in 2017, have revolutionized the field of natural language processing. The Generative Pre-trained Transformer (GPT) is "pre-trained" on large amounts of text data using unsupervised learning techniques, which means that it learns to understand the structure and meaning of language from vast amounts of text data without being explicitly taught how to perform specific tasks. GPT can be fine-tuned on specific NLP tasks with industry-specific data, which allows it to perform a [...]
Today’s Challenges in the Debt Recovery Industry
Propensity to Pay – Machine Learning Model Development Have you called, sent emails, and taken the last-ditch effort of snail mail? Is the price of debt recovery putting you in debt? How do you persuade a customer in today’s economic environment to pay their debt? Perhaps it is not about persuasion but understanding the propensity to pay. Finding a customer’s propensity to pay can offer: Likelihood of payment, taking into account Date of Service Age, Date of Placement age, Balance, Location (income, economics, education, etc.) Consumer’s preferred communication method Time of day patient prefers communication Since 2014, NLP Logix has been partnering with companies in the debt recovery industry to build machine learning models that better predict customer accounts and their propensity to pay. By working with the debt recovery organization’s engineers models are seamlessly integrated into their current operations, providing analytic dashboards for tracking KPIs. Organizations working in accounts receivable management face increasing costs, significant regulation, and changes in consumer behavior. NLP Logix Technical Lead, Katie Bakewell states, “The first hurdle in tackling accounts receivable is contacting the consumer – which could mean getting them on the phone or sending a letter or text. Focusing on the propensity [...]
Solving for Good
Since 2013, Data Science for Social Good (DSSG) has been on a mission to foster the use of data science for positive social impact. Founded at the University of Chicago, the program trains and supports a new generation of data scientists by identifying non-profit organizations that are working to affect change in their communities and have data management, analysis, and data visualization needs. Each community organization selected by DSSG brings a unique project with real-world learning opportunities. These projects have the potential to shift understanding around community issues, influence planning, revise practices, or see efforts in supporting community initiatives more focused or renewed. Locally, the Florida Data Science for Social Good (FL-DSSG) program at the University of North Florida (UNF) created an intensive 12-week DSSG student internship. NLP Logix is the proud sponsor of FL-DSSG, assisting interns in tackling these data-rich projects. NLP Logix Modeling and Analytics Team Lead Katie Bakewell serves as a Sherpa, mentoring interns on industry best practices for solving data science problems, advising program directors on work plans, and providing technical guidance on project tasks. As a friend of NLP Logix, learn more on how you can further support the Florida DSSG Program: UNF FLDSSG 2022 [...]
Knowing the Answer to “WHY?”
The parent lacking patience may say the answer is “because.” The teacher lacking inspiration may say the answer is “find out on your own.” The person lacking confidence may say the answer is “I don’t know.” Notice anything about these answers to WHY? What do they say about a purpose? More importantly, what do they have in common? Think about it for a moment. In the book "Start with Why," Simon Sinek shows how leaders with the greatest influence in the world all think, act, and communicate the same way--it's the opposite of what everyone else does. In the above examples… the answers to “WHY” are based on lack and avoidance. We’ve all been there. There could be something in the WHY that we don’t want to face. There could be emotions tied up in the WHY that we don’t want to feel. There could even be an inner voice in the WHY that echoes “you will fail.” Despite all of this, the executives at NLP Logix sat down together to determine the WHY Statement of NLP LOGIX… and what they discovered was powerful! The Why Statement is a sentence that should clearly express a company’s (or team’s) distinctive [...]
A Letter from Our CEO, Ted Willich
A Letter from Our CEO, Ted Willich Looking Forward to 2023 The team here at NLP Logix enjoys reflecting on the past year and putting our plans together for another successful year! This year is no different and we are excited to continue to grow our business and team. To facilitate this growth, we have reorganized the company to reflect our passion for solving our customers hardest data problems! The three functional areas and their responsibilities are: Data Science team, which is led by our Co-Founder and CIO, Matt Berseth. The Data Science team is responsible for all Research and Development, Business Intelligence, Analytics and Artificial Intelligence solutions, including applications to monitor model health in our customers production systems. They are responsible for staying aware of the latest machine learning/AI technologies and when applicable, adopt and deliver them to our customers, as well as provide industry leadership on the ethical use of AI. Modern Solutions team, which is led by our CTO, Robert Brown. The Modern Solutions team is responsible for all software engineering, cloud and modern data architecture deliverables for our customers. They are charged with staying aware of the latest infrastructure advancements, including AWS and Azure, as [...]
Model Health Monitoring: Ride the Wave
Ride the Wave - Model Health Monitoring How do data science and ocean tides correlate? A predictive analysis could be performed on the movement of currents and the ebb of tides, but let’s instead consider “drift” in relation to model health, the occasional subtle changes that may, or may not, occur over time within a model. Drift is evidence that the data going into or coming out of a model is changing over time. Subtle changes may occur within models that often go unnoticed. Recognizing the warning signs of possible shifts is essential in model health monitoring. In a recent presentation called Catch My Drift, NLP Logix Modeling & Analytics Team Lead, Mary Sheridan, spoke about feature drift and why it should be an important part of model health. Sheridan states, “Over time, many things can cause a model’s performance to degrade, and we are often not privy to this information until it is too late. One way to help detect whether a model may be at risk is to monitor changes in its features over time. If we see the data driving the model’s predictions is changing, that can be an indicator that the model’s predictions may [...]
RPA Health
Ride the Wave of Model Health Monitoring Preventative maintenance is beneficial to health…even for a bot. Immune to the nuance of human errors, bots used in Robotic Process Automation (RPA) are some of the strongest workers, even while working their 24/7 shifts. Incorporating RPA into your business and shifting your human workforce to higher-level tasks can reduce error rates and allow you to recognize efficiency gains. In the world of automation, system health is a priority. Health can degrade due to any slight changes to the user interface (UI) or updates to the systems it touches. As a precautionary method to maintain the automation flow, NLP Logix Client Operations, aka Bot Health Docs, are on hand to support and provide checkups as needed. Success rates are measured and monitored using dashboards designed for bot health monitoring. In addition, regular client communication is scheduled to discuss any pending changes to the bot environments. One of NLP Logix’s RPA clients, Corridor, is a trusted business partner to non-acute healthcare providers for revenue cycle management (RCM) services. Forward-thinking in their approach, Corridor utilizes bots to acquire key patient data from their clients’ electronic medical records (EMR) to enable a range of [...]
Theme and Sentiment Analysis
Theme and Sentiment Analysis Many organizations are focused more and more on the experience of customers, employees, and partners recognizing that behind every person is a story. These stories can help organizations illuminate and improve moments that matter most to individuals. Often these stories are gathered through open-ended questions in surveys and questionnaires. As more and more qualitative feedback/stories are collected, the problem lies within how to leverage the insights, positive or negative, for continuous improvement in organizations. These stories can serve to assist organizations in recognizing the behavior, preferences, wants, and needs of those they serve—not as point-in-time insights, but as an ongoing relationship. “Businesses know there is a richness in the qualitative feedback they have collected, yet many struggle with the best way to utilize it in a systematic way to help make better business decisions, quicker,” states NLP Logix Modeling and Analytics Lead, Mary Sheridan. To bring an understanding to this mass of open-ended feedback NLP Logix has developed a theme and sentiment analysis solutions to gather, collect, categorize and inform organizations of insights. Theme and sentiment analysis was built utilizing Natural Language Processing (NLP) to do the following: To organize and tag comments with appropriate themes. To [...]
Databricks Partnership
Databricks Drives Business Value Machine learning services built on Databricks’ Lakehouse Platform provide expedited value to clients to solve their big data problems. NLP Logix, one of the fastest growing custom machine learning/artificial intelligence companies in the United States, today announced they have partnered with Databricks, the lakehouse company, to drive business value by unifying data and artificial intelligence (AI). NLP Logix brings over a dozen years of experience in developing and deploying custom machine learning and business automation solutions across multiple industries including defense, human resources, non-profit, financial services and others. "At NLP Logix we say that "Data Science is a Team Sport.®" - Matt Berseth, Co-Founder and Chief Information Officer This announcement provides inherent value by Databricks offering the most technologically advanced data lakehouse platform, which unifies an organization’s most valuable data assets: data, analytics and AI into a single environment where the experienced data science team at NLP Logix can quickly develop and deploy machine learning models onto the Lakehouse Platform. “We have seen the evolution from data warehouses in the ‘1990’s to 2000’s to Data Lakes in the [...]
Priority Support
Priority Support for Ticketing Process Regarding P1s, it seems suspiciously circumstantial that keyboards have the “1” and “!” on the same key. P1s are “Priority 1,” top-priority Support tickets addressing business-critical needs. If a support ticket comes in assigned as a P1, urgency from the NLP Logix Client Operations Team is actionable with the emphasis of taking action with an exclamation point! As tickets are channeled into the pipeline, they are assigned a priority level of P1, the most urgent, to P4, the lowest urgency. These levels are based on the ITIL standard if identifying the impact and urgency of the issue. Kristine LaBarbera, Director of Client Enablement, states, “We never look forward to a P1 scenario, but they are a necessary and anticipated part of operations. They also provide our teams with the opportunity to identify areas of optimization to prevent the same scenario from occurring in the future. We’ve been working to refine our process over the course of the last year, with some great input from our clients along the way.” Eli Butler, NLP Logix Client [...]
Ticketing System
Yeah, that's the Ticket It may not be the adrenaline rush of a coveted concert ticket or the panicked thump thump of the unwanted traffic ticket, but the Client Operations’ support tickets have a special place in the heartbeat of our technology solutions. As NLP Logix’s Client Operations team channels production support tickets, they keep the steady beat of client solutions flowing. The Client Operations team exercises their problem-solving prowess daily. They are the front lines to getting our client solutions up and running during a critical outage, triaging issues and communicating the next steps to the client, and working behind the scenes on ongoing solution health tasks. The lifecycle of a production support ticket can be described in phases: Issue reported or request submitted Triage and advanced research Remediation and resolution Root cause analysis and containment NLP Logix, Client Enablement Director, Kristine LaBarbera said, “We’ve been incorporating additional structure over the past year on our Client Operations team, including the launch of a new ticketing system and Priority 1 process, the introduction of formalized release management, and we’re currently working to further streamline our escalation process. As a rule, we [...]
The Fire Watch – A Case Study
Mission Fire Watch Background Context The Fire Watch is dedicated to ending veteran suicide in the State of Florida. According to The Fire Watch, "Veteran suicide is a growing crisis. At least twenty U.S. veterans are taking their lives every day. To date, solutions to prevent suicide have been inadequate at best. In particular, federal solutions have had little to no effect on the crisis on the ground here in Florida. Given that Florida is home to over 1.5 million veterans, the need and the challenge are evident.” To support its mission, The Fire Watch engaged NLP Logix in 2021 to gather, extract, transform and load disparate data sources into a single visualization tool providing analysis and insights. This scope of work was to perform data analysis for the full state of Florida. Nick Howland, Executive Director of The Fire Watch, states, “For decades, access to recent and actionable data on veteran suicide has been an insurmountable challenge for veteran-serving organizations working to end this national tragedy. Data has only been available from the federal government - data that is more than two years old and stops at the state level. We needed [...]
Partners for Change
Partners for Change Located in historic downtown Jacksonville, Edward Waters University (EWU), established in 1866, was the first institution founded in Florida for the education of African Americans. Situated on the EWU campus is the Schell-Sweet Community Resource Center (SSCRC). The SSCRC was launched in 1995 to support and serve its surrounding at-risk community with the vision of being “a community and academic support model, promoting positive lifestyle changes and best practices, focusing on social, health and educational services.” In 2020, NLP Logix was introduced to EWU-SSCRC, providing computer technology training and resources to seniors at the Schell-Sweet Community Resource Center (SSCRC). EWU-SSCRC, Director Marie Heath, states, “We are making a positive difference in the lives of people.” From those initial stepping stones, the EWU-SSCRC and NLP Logix partnership in the pursuit of lifelong learning has continued to flourish. Ted Willich, CEO of NLP Logix, states, “It is great to give our team members the chance to give back to our community in a very real way.” In 2020, NLP Logix introduced its internship program to EWU. Willich said, “Over the years, almost all of our interns were from the University of North [...]
Benefits of Automation in an Uncertain Market
Benefits of Automation in an Uncertain Market With discussion of an economic downturn on the rise, the days ahead may seem as unsteady as walking a tightrope with the consequences leaving many performers asking if the safety net is secure and what other checks are in place? Pivoting to find balance, organizations are turning to the benefits of Robotic Process Automation. Many organizations have already found early success in automating redundant but necessary tasks such as data entry, document processing, medical coding, as well as other time-consuming areas of their operations. These types of projects are often the first steps in an organization’s RPA journey as these types of successful projects open up other automation opportunities and expansions in current project scope. Allow qualified staff to work on things that provide more value to the company Project costs can usually be recouped in 3-6 months Increase throughput and improve economies of scale by adding process efficiencies CFO’s are now looking at how they can use AI and Machine Learning to automate areas of their own department such as the month-end close process, collections, payables, and budgeting [...]