State
Mainframe Modernization
Mainframe modernization for state agencies requires updating and transforming legacy mainframe systems to meet the evolving needs of state government operations. Legacy mainframes often host critical applications and data, and modernization efforts aim to enhance efficiency, reduce costs, improve security and enable integration with contemporary technologies. Legacy systems, including mainframes, are expensive to maintain and support. Experienced talent is getting increasingly difficult to recruit as qualified resources are retiring from the workforce.
mLogica’s LIBER*M and STAR*M automated mainframe and legacy modernization software accelerate migration of legacy databases on mainframe such as IBM and Bull to Postgres on the cloud at low-cost, and low risk. Our proprietary automated technology, experienced team and rigorous quality assurance are the keys to seamlessly migrating large, complex, on-premise legacy IBM and Bull mainframes and legacy databases such as Sybase, Teradata, Netezza to a modern cloud platform with high speed and accuracy.
Advanced Data Management
State agencies can benefit from CAP*M CEA’s advanced data management practices to enhance efficiency, decision-making, and overall operations. Utilizing CAP*M CEA advanced data integration capabilities, agencies can utilize massive amounts of information to create a unified view of citizen data across various departments.
This allows for streamlined service delivery and improved citizen experience. For instance, employing advanced data analytics to enhance law enforcement and public safety can include predictive policing models, crime mapping, and analysis of emergency response data to optimize resource allocation and improve incident response times. Analyzing healthcare data using CAP*M CEA can help state agencies proactively allocate resources and plan public health interventions. For instance, implementing predictive analytics models can assist in identifying potential health issues and disease outbreaks within and across states.
Employing advanced data analytics to enhance law enforcement and public safety services can include predictive policing models, crime mapping and analysis of emergency response data to optimize resource allocation and improve incident response times.
Emerging Technologies
State agencies can leverage emerging technologies to enhance their operations, improve service delivery and address complex challenges. CAP*M CEA GenAI can be applied for predictive analytics, fraud detection and natural language processing for citizen interactions and automation of routine tasks to improve efficiencies organization-wide.
State agencies should invest in advanced cybersecurity technologies, including threat intelligence, zero-trust architecture, and biometric authentication, to protect sensitive government data. mLogica’s CAP*M Zero Trust Big Data GEN AI Security Solution can address many of the states’ security requirements leveraging massive-scale Big Data, Case Management, Natural Language Processing (NLP), Generative AI, Cognitive AI, Adoptive AI, Geo-Mapping, Document Management, and Risk Assessment technologies.
Cloud Adoption
Cloud adoption in state agencies can bring about numerous benefits, including increased agility, scalability, cost-efficiency, and improved collaboration. Cloud adoption is a dynamic process that requires careful planning, ongoing management, and adaptation to changing technologies. By addressing security, governance, training, and other critical aspects, state agencies can unlock the full potential of cloud computing for their operations.
As many agencies want to exit their legacy IBM and BULL mainframe data centers, having automated solutions available to accelerate to migrate to database, such as Postgres on the cloud are now mandatory for success. mLogica’s STAR*M and LIBER*M automated mainframe and legacy modernization software accelerates migrations to the cloud at low-cost, and low risk.
Advanced Analytics and GenAI
Advanced analytics and generative AI offer state agencies powerful tools for improving decision-making, optimizing operations and enhancing public services. Gen AI is increasingly being used in state agencies to automate and augment various processes currently performed by machines and humans. The benefits are clear, and like the impact of computing on business decades ago: improved productivity, faster innovation, enhanced customer experience and personalization. GenAI even offers radical predictive modeling capabilities that are changing the face of research through improved performance and accuracy.
One of the areas where GenAI is emerging as a transformative force is in the field of massive-scale big-data analytics for complex events. CAP*M CEA with GenAI leverages deep learning algorithms to create a variety of data, including text, images, videos, audio and even entire data sets to mimic real-world scenarios. Organizations and government agencies can create and model a variety of likely future states and outcomes, allowing them to invest their resources in strategies that are most likely to succeed.
State Security and Border Protection
CAP*M CEA big data analytics can play a crucial role in enhancing state security and border protection at both the state and federal level. By harnessing the power of advanced GenAI and predictive analytics, state agencies can improve threat detection, streamline operations and respond with peak effectiveness to actual and potential security challenges. CAP*M CEA can analyze vast data sets, including social media, intelligence reports and sensor data information to identify patterns indicative of potential security threats, aiding in early threat detection and prevention.
Predictive modeling uses historical data sets to extrapolate future data points. CAP*M GenAI, combined with big data analytics takes this concept beyond data set being extrapolated by blending it with information from external sources to generate entire future world scenarios in which this simple data set resides and by which it is influenced. GenAI models are used to more comprehensively to derive descriptive, diagnostic and predictive insights, all of which are used to map out future scenarios, including all options and the probability of success for a range of actions for.
Strategic Digital Transformation
Most agencies recognize that they need to conduct digital technology transformation, including legacy systems modernization. One of the major challenges they face today is that they are unable to quantify the benefits of Digital Technology Transformation in terms of process efficiencies and customer satisfaction.
Besides being an operational risk or not being able to support these platforms, mainframe and legacy systems are also a major hindrance to process innovation. This includes enhanced self-service options for agency clients and deployment of advanced software and analytic tools available in the market today. mLogica’s LIBER*M and STAR*M accelerate modernization of these legacy systems to more modern technologies.
Embedding CAP*M CEA advanced analytics at the core of operations helps optimize processes and enable state agencies to focus their efforts on activities that deliver the greatest benefits. Technology solutions that scale to support complex events and enriched information processing at ultra-high-speed ingestion can drive actionable information into the hands of the users and clients faster and more accurately, significantly enhancing user and client experience.
