Defending your data and intellectual property is one of the most important parts of keeping your organization secure. Managing access to those resources while protecting them from threats of all types is a narrow line to walk. Prolifics’ User Authentication Quick Start helps businesses re-examine their user authentication strategies and develop a strategy for streamlined and secured access across the enterprise.
The demand for data science resources is growing far beyond supply. The gap between what companies need and the data science skills that are available in the market is a wide one, and it’s only continuing to grow. This makes developing data science work activities expensive and difficult because of the limited availability of specialized resources. This puts a serious strain on organizations, particularly because data science is so important to business: it produces predictive models that help drive new revenue, improve customer service, and reduce operating costs. But the inability to gain access to effective data science resources and produce analytics outcomes in a timely fashion can cause significant frustration.
For organizations struggling with this talent crunch, a core challenge is often determining the best path forward. Do you invest heavily in a lengthy hiring process, or do you find ways to empower existing staff? This is where strategic solutions can make a significant impact on closing the data science skills gap. The goal is not to replace human expertise but to augment it, making advanced analytics accessible to a wider range of technical and business teams.
The talent shortage is a complex issue driven by several factors. Many educational institutions have yet to formalize comprehensive data science degrees, leading to a fragmented learning experience for aspiring professionals. The rapid evolution of the field also means that staying current requires continuous learning, which can be a barrier for many. As a result, businesses are often left with an acute need for professionals who are proficient in various fields, from programming and statistics to machine learning and business strategy.
In this environment, companies face a difficult choice: compete for top talent in a hyper-competitive market or scale back their data initiatives. The consequences of inaction are significant. Without the ability to leverage data effectively, companies risk falling behind competitors who have successfully implemented data-driven strategies for everything from fraud detection to targeted marketing. The challenge highlights a clear need for alternative solutions that democratize access to data science capabilities.
To address this issue, the Prolifics Innovation Center has developed a turn-key machine learning solution designed to meet a wide range of data science needs. This platform is built to simplify and accelerate the process of building, training, and deploying predictive models. For organizations lacking sufficient data science personnel, it brings advanced capabilities to the table, making them easy for existing organizational services to consume.
But this technology isn’t a replacement for data scientists; it’s a force multiplier. For organizations that already employ data scientists, the solution automates much of the manual work involved in model development. It can automatically evaluate thousands of algorithms in the time it would take a human to manually evaluate just a few. This frees up your in-house experts to focus on more strategic, high-value tasks, rather than being bogged down in repetitive, time-consuming processes. With this approach, organizations don’t have to sacrifice quality or accuracy for the sake of cost—or vice versa.
So where can data science help? The answer is just about anywhere. The Prolifics solution can benefit companies of any size, especially when dealing with large consumer populations that produce large volumes of data. We are initially focusing on certain use cases where our data science solution can excel:
In addition to leveraging a turn-key solution, modern data-driven organizations can pursue a multi-faceted strategy to maximize their capabilities. This approach is key to achieving success and improving long-term agility.
Creating a clear roadmap is crucial for guiding a business’s data initiatives. A well-defined data science roadmap outlines goals, identifies key projects, and allocates resources effectively. This planning process helps align data efforts with overall business objectives and ensures that investments in technology, like the Prolifics platform, deliver maximum value. A good roadmap answers critical questions, such as: What are our most pressing business problems? What data do we need to solve them? And how will we measure success?
Even with advanced tools, having an analytics-literate workforce is an asset. Encourage and invest in opportunities for employees to learn foundational concepts. Resources like online courses, internal training sessions, or mentorship programs can help elevate the data literacy of your staff. This not only makes your team more effective at consuming the output of machine learning solutions but also helps foster a culture of data-driven decision-making throughout the organization.
The most successful data strategies combine human talent with technological assistance. By using a platform like the Prolifics solution to handle automated tasks, your data scientists can dedicate their time to more complex problems, such as fine-tuning models, interpreting results, and exploring innovative new use cases. This hybrid model ensures that you get the best of both worlds: the speed and efficiency of automation and the strategic insight and expertise of human professionals.
The shortage of data science professionals doesn’t have to be a roadblock to progress. By leveraging strategic solutions like Prolifics’ turn-key machine learning platform, organizations can effectively bridge the data science skills gap. This approach not only provides the tools needed for timely, high-impact analytics outcomes but also empowers existing teams and fosters a more data-driven culture. By combining human ingenuity with powerful technology, businesses can unlock the full potential of their data and drive significant competitive advantage.
To learn more about Data Science solutions and how they can assist your business, please email solutions@prolifics.com. You may also like to check out the Prolifics Hyperautomation Guide and Intelligent Business Automation services for a comprehensive approach to optimizing your business.
Michael L. Gonzales, Ph.D., is an active practitioner in the IT space with over 30 years of industry experience in roles of chief architect and senior solutions strategist. He specializes in the formulation of business analytics for competitive advantage in global organizations. Recent engagements include companies in the top global 100.
Dr. Gonzales holds a Ph.D. from the University of Texas with a concentration in Information and Decision Science. His research includes analytics against extremely large data sets and success factors for IT-enabled competitive advantage.
Wayne is Prolifics’ Senior Practice Manager for all things Analytics including: Data Visualization, Advanced Analytics, Natural Language Processing, Business Intelligence, Big Data Engineering and Data Science and Data Modeling.
He has been a dedicated professional with over 16 years of experience leading large IT projects through all phases of the systems development lifecycle from the preliminary business case through development to final implementation and steady state support.
Could you actually enjoy going to the DMV? Could you imagine getting in and out with your new license quickly and with a smile? Recently, one of our clients, a state government agency, teamed with the Prolifics Innovation Center to address a very specific pain point – they were looking for a simpler user interface (UI) that would make one of their registration functions more user-friendly for them and more efficient for their customers. The client’s registration employees found the current UI cumbersome and clunky, while the client’s coders found it difficult to maintain and keep running. We have a pretty good idea how the customers in line felt.
Our client used IBM Case Manager for all their back-end data and processes, with an add-on, third-party UI framework for the front end. As a team, the Innovation Center set out to build what we termed a “rapid, richer case management” solution. The goal was not only to solve the client’s immediate issue with the current registration function, but also create the ability to rapidly prototype a UI to any IBM Case Manager process without being dependent upon a third-party. Any state or local government would have multiple agencies that would benefit from such a solution – such as driver’s licenses, tax payments, parking permits and countless others.
The solution skill set needed to be modern and readily available in the current workforce. We began with JSON (JavaScript Object Notation) an open-standard file format that uses human-readable text. The solution uses JSON to connect to IBM Case Manager (back end) and then specify what the client wants on their screen (front end). We added Angular – a popular UI framework – for the display widgets that are connected to the JSON files.
By removing the cost of a third-party UI addition to IBM Case Manager, our rapid, richer case management solution can save money. For the client CIO and IT support staff, Prolifics can implement the solution in a fraction of the time versus other solutions. You’ll find that maintenance is easy – the simplicity is that no coding is required to render the UI; to change a field on the screen you merely change the name in the JSON file. (Business logic, validation and security would still require some coding.)
From a business and employee-user side, the resulting interface looks good, feels modern and is friendly to use. An issue we’ve found in our discussions with state and local governmental agencies – and many industries – is that they have a hard time recruiting young talent. Part of the problem is that young talent expects modern technology that looks and acts a certain way. A rich user interface helps with this challenge. The ultimate benefit, though, is that a better UI makes that customer line move faster.
The Prolifics Innovation Center leverages our decades of experience to build next-generation solutions like our “rapid, richer case management.” We provide the leadership and vision that keep organizations competitive. Our experts work closely with our customers to incorporate feedback and tailor our solutions to real-world business needs. If you would like to learn more about our rapid, richer case management solution or become part of our Innovation Center, please email us at solutions@prolificsdev.wpengine.com.
Greg is a technology leader and engineer with a track record of establishing teams that deliver breakthrough solutions for business and enterprise IT.
At Prolifics, he works with teams that apply cutting-edge technology to our solutions, as well as approaches that cross practice lines and incorporate Prolifics’ digital IP into a foundation for innovation.
Prolifics’ Quick FHIR solution helps your organization jumpstart the sharing of electronic health record (EHR) data throughout your enterprise using FHIR APIs. Our experts show you FHIR APIs in action and explain more about what FHIR can do.
Prolifics’ machine learning tool uses intelligent, automated data analytics to create better testing solutions.It conquers complex testing scenarios, helps ensure high levels of code coverage, and increases quality, helping further enhance Prolifics’ top-notch defect removal rate.
Discover how the power of machine learning can be brought to bear on your testing challenge.
The HL7 Fast Healthcare Interoperability Resources (FHIR) standard is revolutionizing how healthcare data management is handled, moved, and exchanged across modern healthcare systems. While the Internet has made managing data faster and easier than ever, healthcare interoperability has lagged behind the trend because of the sensitivity and complexity of health information.
For example, some health data exchange is still transmitted in physical formats (chances are, you’ve used a fax machine lately). This outdated practice limits providers’ ability to coordinate care, perform advanced data analytics, and integrate IT environments in a cost-effective way.
FHIR APIs address these challenges by establishing standards for how information should flow across systems. This ensures seamless EHR integration (Electronic Health Record) and makes FHIR in healthcare a key driver of digital health transformation. Existing systems can be adapted for integration, while developers can build plug-and-play applications that interlink data sources with systems.
FHIR is built on “resources”—compartmentalized units of information that can be combined to build functionality. By combining resources in the right way, organizations can answer virtually any business need in an integrated, data-friendly, and cost-conscious way. This also lays the foundation for smarter patient data management and secure collaboration across providers.
Here are four reasons why FHIR is essential for modern healthcare businesses, along with insights into FHIR implementation challenges, best practices, and opportunities for growth.
FHIR implementation is free to use and highly flexible, making it easy for organizations to adjust solutions as needs evolve. Openly available libraries and tools simplify development, while the scalability of FHIR ensures healthcare organizations can expand without starting from scratch. Interfaces can be set up in as little as one day, a crucial step for accelerating healthcare data modernization.
FHIR is built on common web technologies like HTTPS, XML, REST, OAuth, and JSON. This makes it simple to onboard new developers without requiring niche technical skills. In fact, this broad compatibility is one reason FHIR APIs are seen as the backbone of future-ready systems. Mobile health is another area where FHIR shines. Many of its web technologies are mobile-friendly, particularly REST APIs, enabling apps that securely handle patient data management. Imagine round-the-clock health monitoring through wearables, apps that empower patients to access their records instantly, or remote telehealth consultations that automatically update a centralized EHR integration system. These use cases highlight the potential of FHIR for patient engagement, transforming patient care from reactive to proactive.
Historically, healthcare providers have faced restrictions from proprietary systems that locked them into vendor-specific solutions. These legacy systems often made it expensive and time-consuming to introduce new functionality or migrate to modern platforms.
By contrast, FHIR’s vendor-neutral approach changes the game. Many of the leading EHR vendors are now part of the Argonaut Project, an initiative focused on creating interoperable standards across the healthcare market. This means healthcare organizations can build systems that work seamlessly across platforms, avoiding vendor restrictions.
The result is greater flexibility for providers to pursue digital health transformation, adopt emerging tools, and scale their environments without disruption. When evaluating FHIR vs. legacy systems, the difference is clear: FHIR gives healthcare organizations control, innovation potential, and cost efficiency that proprietary solutions can’t match.
One of the most significant advantages of FHIR is its ability to unify data from multiple sources. Providers can now integrate information from IoT devices, wearable fitness trackers, medical equipment, and mobile applications into a single patient record. This complete view of the patient’s health enables more accurate diagnoses, better care coordination, and improved clinical outcomes.
From a financial perspective, the efficiency of FHIR in healthcare helps reduce duplication of services and minimizes administrative overhead. IT environments also become easier and more affordable to maintain. These cost savings are critical for organizations facing tight budgets and for patients seeking more affordable care.
Patients themselves gain the benefits of personalization. Just as retail and banking have created personalized customer experiences, FHIR allows for patient data management that ensures every care interaction is tailored. Even when seeing multiple providers, patients can benefit from centralized records that reduce communication gaps and errors.
On a broader scale, bulk FHIR API for population health empowers healthcare organizations to analyze massive datasets to identify risks, monitor trends, and implement preventive strategies. This population-level insight is especially important for public health initiatives, chronic disease management, and community-wide health improvements.
Despite its advantages, many organizations encounter FHIR implementation challenges when adopting the standard. These challenges include technical integration with legacy systems, ensuring compliance with regulatory requirements, and building staff expertise. A common concern for leaders is how to modernize healthcare data with FHIR while continuing day-to-day operations.
One of the biggest hurdles is transitioning from HL7 v2 to FHIR, as many health systems still rely on the older HL7 v2 standard. While v2 has served healthcare for decades, it lacks the flexibility and interoperability needed for modern digital environments. The transition to FHIR requires careful planning, robust testing, and clear governance.
Recognizing these challenges, the Prolifics Innovation Center has developed a solution called Prolifics Quick FHIR. This solution enables organizations to implement FHIR quickly and easily, without overwhelming internal IT teams. Built on proprietary IP using IBM software, Quick FHIR removes the need for organizations to purchase and integrate software themselves. It does the heavy lifting, reducing time to value and implementation costs.
The Prolifics Innovation Center leverages decades of experience to create next-generation solutions like Prolifics Quick FHIR.
We provide leadership and vision that keep healthcare organizations competitive in an evolving landscape. Our experts work closely with clients, incorporating feedback to tailor solutions that address real-world business and clinical needs.
If you would like to learn more about our Prolifics Quick FHIR solution or become part of our Innovation Center, please email us at solutions@prolificsdev.wpengine.com.
Matt Garst leads sales for Digital Automation and Cloud Solutions for Prolifics. Matt has over 20 years of experience in sales in the information technology industry. Most recently, he was responsible for the IBM software business within the US Army and Missile Defense Agency.
Prior to his role at IBM, Matt was the Vice President of Worldwide Sales for Enterprise Information Management, where he led a sales team focused on software and professional services. Matt began his career as a soldier in the U.S. Army, where he served six years in the Infantry.
Prolifics’ cutting-edge BA360 accelerator now features a powerful new Machine Learning capability. This feature utilizes automation to create and maintain test cases, identify exception processing scenarios, test data situations and logic permutations, and much more. Machine Learning is designed to overcome the common challenges in the testing arena, making your testing faster and smarter than ever before.
To effectively manage the increasing complexity of the mortgage banking environment and address evolving regulations, your end‐to‐end origination system needs to be fully flexible, scalable and integrated.
Your information lifecycle—the movement of data throughout the organization in the course of day-to-day business—is critical to your enterprise’s success. However, rising data volumes and complexity, data security issues, increasing regulations, and other drivers mean that organizations must take charge of the information lifecycle with a transformative data management initiative. Prolifics introduces key data integration, governance, and quality technologies, along with other solutions that help you protect your information throughout its lifecycle and leverage it to do better business.
In the Mortgage Banking Industry, data provisioning is a complex process that represents an operational vulnerability. Data is provided by disparate sources with distinctive agendas, resulting in non-standard formatting and definitions as it travels through and is at rest within the environment. How can information be accurate if everyone is essentially speaking a different language within a shared dataflow?
Using Open Source methodologies, Prolifics helps Mortgage Banking enterprises achieve optimum accuracy with their data via our innovative and peerless Enterprise Data Provisioning solution. We design the means by which your framework’s various operators and applications can talk to each other seamlessly and more efficiently under the same standards and definitions. With our solution, clients can enjoy previously unrealized data accuracy and cohesion regardless of where they need to push or pull data from within the scope of their framework.
Prolifics understands that people working within the scope of an enterprise’s Retail channel may use different terms from those in your Correspondent channel to describe the same thing. However, we also realize there’s no reason reporting and operational accuracy has to suffer because of these often necessary, systemic inconsistencies.
Our Enterprise Data Provisioning Hub solution employs a transformation process towards a shared standard. This is used to map your data so everyone in an enterprise’s framework is using the same definitions. The data is then pulled through the Hub at every point, forcing all systems and channels to provide the same information in their extracts to achieve environment-wide uniformity and conformity.
Take the next step towards a truly unified data provisioning solution. Contact solutions@prolifics.com to learn how our Enterprise Data Provisioning Hub solution may help your enterprise reach the level of data organization you expect.