Alternatives to PwC Model Edge

ClusterSeven Shadow IT manager gives you control over hidden spreadsheets and other data assets that could put your business at risk. Manage the sensitive, hidden spreadsheets, apps, and data assets that are not under IT's control. This can create risk. You can now quickly and efficiently take inventory of files that your organization relies on and monitor who is making changes. This will help you to meet compliance and audit requirements, and prevent potential problems from affecting your enterprise.

Risk Cloud™, LogicGate's most popular GRC process automation platform Risk Cloud™, allows organizations to transform disorganized compliance and risk operations into agile process apps without having to write a single line code. LogicGate believes that enterprise technology can make a significant difference in the lives of employees and their organizations. We aim to transform the way companies manage governance, risk, compliance (GRC), programs so that they can manage risk with confidence. LogicGate's Risk Cloud platform, cloud-based applications, and raving fan service, combined with expertly crafted content, allow organizations to transform disorganized compliance operations into agile processes without writing a line of code.

Enhance the efficiency of your model lifecycle confidently by utilizing our AI-powered model risk management technology, the Chiron MRM Platform, which automates real-time model validation and monitoring. The process of validating models can often be both time-consuming and expensive. However, with our enterprise risk management solutions, clients can decrease validation costs by up to tenfold. Chiron's advanced monitoring features facilitate the early identification of potential model failures, which contributes to the development of superior models and diminished capital requirements. To ensure that models can be relied upon for decision-making, it is essential to maintain a clear and auditable perspective on the models implemented in your organization. Chiron Enterprise provides a tailored model inventory that tracks all models throughout their lifecycle, alongside a flexible workflow engine designed to optimize processes. By scaling your model risk operations, you can enforce organized and consistent workflows across your teams, ultimately driving better outcomes for your organization. Moreover, this comprehensive approach supports a culture of accountability and continuous improvement in model management.

Focus is a central tool that improves model governance transparency, efficiency, effectiveness, and transparency. Focus helps you to adhere to the best practices for regulatory requirements in a controlled and systematic way. To ensure you are on the right track, define and follow policy and processes. Keep detailed records, report and remediate to ensure that you do not forget. It allows for easy, controlled access of all models, reports, documents, and up-to-the minute status, tasks, and actions dashboards. This facilitates better prioritization, resource planning, and a single, practical solution. - Model dependencies, taxonomy and defined data - Centralised model inventory - Model risks identified and remediation plans tracked - Model lifecycle events, workflow management - Full audit trail, tracking, and reporting - User configurable reporting/querying - Flexibility in implementation

Both AI and non-AI models require effective risk management and oversight to function optimally. Fairly offers a continuous monitoring system designed for robust model governance and oversight. This platform facilitates seamless collaboration between risk and compliance teams alongside data science and cyber security professionals, ensuring that models maintain reliability and security standards. Fairly provides a straightforward approach to staying current with policies and regulations related to the procurement, validation, and auditing of non-AI, predictive AI, and generative AI models. The model validation and auditing process is streamlined by Fairly, which grants direct access to ground truth in a controlled environment for both in-house and third-party models, all while minimizing additional burdens on development and IT teams. This ensures that Fairly's platform not only promotes compliance but also fosters secure and ethical modeling practices. Furthermore, Fairly empowers teams to effectively identify, assess, and monitor risks while also reporting and mitigating compliance, operational, and model-related risks in alignment with both internal policies and external regulations. By incorporating these features, Fairly reinforces its commitment to maintaining high standards of model integrity and accountability.

ValidMind stands out as the premier solution for organizations seeking to streamline the automation of testing, documentation, and risk management concerning AI and statistical models. This comprehensive platform offers a range of tools designed to assist data scientists, corporations, and risk or compliance professionals in pinpointing and documenting potential risks linked to their AI models, ensuring adherence to regulatory standards. With its integrated features, ValidMind simplifies the review process of risk areas across various teams' models, allowing organizations to effectively prioritize compliance and risk mitigation efforts. Furthermore, ValidMind promotes collaboration by breaking down information silos, thereby alleviating the complexities involved in sharing and working together on model documentation, validation reports, and risk assessments throughout the entire model lifecycle. By leveraging ValidMind, organizations can foster a culture of transparency and accountability in their AI practices.

Your program is just one vulnerability away from overlooking significant risks. As financial institutions increasingly integrate complex calculations, holistic business models, and designated model owners, risk models are evolving in sophistication. Hidden dangers may lurk within the gaps between different models. However, organizations need not endure the fragmentation of their programs. The Crowe Model Risk Manager offers a software solution that seamlessly integrates model risk management throughout the entire process. This centralized platform, equipped with real-time visualizations, simplifies the management of workflows, allows for effective issue tracking, report generation, and compliance demonstration. Financial institutions can transition beyond traditional spreadsheets and emails to achieve a unified and thorough perspective. With our innovative software, understanding all facets of your model risk management becomes straightforward and accessible. Model owners can easily identify their responsibilities, along with defined next steps and continuous activity oversight. Furthermore, banks can implement automated workflows and actions, enhancing efficiency and ensuring the program remains on track. This holistic approach empowers organizations to proactively address risks, ultimately leading to more robust risk management strategies.

The Modelscape solution streamlines the management of financial models' lifecycle for financial institutions, enhancing documentation, transparency, and compliance. By adopting this solution across the entire model lifecycle, users can take advantage of standardized workflows, automated documentation processes, and seamless artifact linking. This approach allows for the horizontal and vertical scaling of algorithms, models, and applications. Additionally, it supports various enterprise infrastructures and programming languages, including Python, R, SAS, and MATLAB. Comprehensive tracking of issues throughout the model lifecycle is facilitated by full model lineage and detailed reporting on issues and usage. An executive dashboard provides insights into model data, enables custom algorithm execution, and offers automated workflows, all while granting web-based access to a thorough, auditable inventory of models and their dependencies. Users can also develop, back-test, and document their models and methodologies effectively. This solution significantly enhances the transparency, reproducibility, and reusability of financial models, while also automatically generating the necessary documentation and reports to support ongoing compliance efforts. In doing so, it empowers financial institutions to maintain high standards in model governance and operational efficiency.

Datatron provides tools and features that are built from scratch to help you make machine learning in production a reality. Many teams realize that there is more to deploying models than just the manual task. Datatron provides a single platform that manages all your ML, AI and Data Science models in production. We can help you automate, optimize and accelerate your ML model production to ensure they run smoothly and efficiently. Data Scientists can use a variety frameworks to create the best models. We support any framework you use to build a model (e.g. TensorFlow and H2O, Scikit-Learn and SAS are supported. Explore models that were created and uploaded by your data scientists, all from one central repository. In just a few clicks, you can create scalable model deployments. You can deploy models using any language or framework. Your model performance will help you make better decisions.

Connected Risk provides your team with a comprehensive solution to meet all governance, risk, and compliance (GRC) requirements in a unified platform. Built on our innovative, low-code/no-code framework, EmpoweredNEXT, Connected Risk’s robust infrastructure allows for the customization of applications tailored specifically to the needs of your team. This integrated approach to holistic risk management is crafted to oversee your governance, risk, and compliance programs throughout a cohesive lifecycle that caters to your organization’s unique demands. Trusted by leading global entities daily, it serves as a reliable tool for addressing GRC requirements. Additionally, enterprise risk management equips your organization with essential tools to navigate both risks and disruptions effectively. Furthermore, regulatory change management empowers your compliance team to handle changes in a structured and interconnected way. Lastly, model risk management enables your organization to develop and sustain an efficient model inventory through effective workflow oversight.

The EY Trusted AI Platform offers organizations valuable insights into the origins and factors contributing to risk, while also assisting an AI design team in assessing and quantifying these risks. Utilizing interactive, web-based tools for schematics and assessments, the platform constructs a detailed risk profile for an AI system. It employs a sophisticated analytical model that transforms user inputs into a composite score, which reflects the technical risk, stakeholder impact, and control effectiveness associated with the AI system. To evaluate technical risk, the platform analyzes the AI system's design, focusing on various risk drivers such as the technologies utilized, the operating environment, and the system’s degree of autonomy. Additionally, when assessing stakeholder risk, the platform takes into account the goals and objectives set for the AI system, as well as the financial, emotional, and physical repercussions for both internal and external users, along with potential reputational, regulatory, and legal challenges that may arise. Overall, this comprehensive approach ensures that all facets of risk are thoroughly examined and understood.

Although not every model possesses the same quality, it is crucial for all models to have governance in place to promote responsible and ethical decision-making within an organization. The IBM® watsonx.governance™ toolkit for AI governance empowers you to oversee, manage, and track your organization's AI initiatives effectively. By utilizing software automation, it enhances your capacity to address risks, fulfill regulatory obligations, and tackle ethical issues related to both generative AI and machine learning (ML) models. This toolkit provides access to automated and scalable governance, risk, and compliance instruments that encompass aspects such as operational risk, policy management, compliance, financial oversight, IT governance, and both internal and external audits. You can proactively identify and mitigate model risks while converting AI regulations into actionable policies that can be enforced automatically, ensuring that your organization remains compliant and ethically sound in its AI endeavors. Furthermore, this comprehensive approach not only safeguards your operations but also fosters trust among stakeholders in the integrity of your AI systems.

Regardless of how a financial institution assesses risk, SAS offers established methodologies and optimal practices that aid in cultivating a culture focused on risk awareness, enhancing capital and liquidity management, and fulfilling regulatory requirements. By empowering your risk management team with on-demand, high-performance analytics, you can achieve improved efficiency and transparency. It's crucial to strike a harmonious balance between immediate and future strategies while confidently navigating evolving regulatory landscapes. SAS provides a diverse array of scalable credit models designed to actively manage loan portfolios, ensuring enhanced regulatory compliance and robust balance sheet management capabilities. Additionally, you can conduct simulations across various scenarios, yielding quicker results with in-depth analyses that support informed business decision-making, ultimately leading to stronger financial outcomes. This proactive approach not only mitigates risks but also positions institutions to thrive in a complex financial environment.

Apparity is a robust platform that streamlines the management of end user computing (EUC) risks, complemented by exceptional customer support. It effectively identifies, catalogs, evaluates, and oversees the end user applications that are essential for your key business operations, covering a wide range of tools such as spreadsheets, models, databases, coding scripts, and business intelligence software. Our platform enhances visibility across the enterprise by providing a thorough audit of all EUC-related activities. How is this accomplished? By utilizing precise file tracking and version control, you can efficiently oversee your EUC inventory while ensuring adherence to regulatory standards. Once implemented, users will experience improved collaboration and heightened process automation, which ultimately leads to greater operational efficiency.

See the risks. Seize the opportunities. While others fear risk, we embrace it. For over 20 years, Protecht has redefined the way people think about risk management. We help companies increase performance and achieve strategic objectives by enabling you to better understand, monitor and manage risk. Protecht ERM is a single, integrated no-code SaaS platform that provides you with all the tools you need to dynamically manage all aspects of enterprise risk management and GRC. That includes risk assessments, key risk indicators (KRIs) and key performance indicators (KPIs), compliance, incidents, vendor and cyber/IT risk, operational resilience and business continuity, internal audit, and so much more. We’re with you for your full risk journey. Let’s transform the way you understand your risk appetite and manage your risk portfolio to create exciting opportunities for growth for your organization. Founded in 1999, Protecht is a leading provider of complete, cutting-edge and cost-effective enterprise risk management software, training and advisory solution, with headquarters in Sydney and offices in London and Los Angeles.

CIMCON Software addresses the operational risks associated with end-user computing (EUC) files, which encompass issues like regulatory reporting inaccuracies, non-compliance, cyber threats, and fraud. These risks arise from various EUCs, including spreadsheets, models, Access databases, applications coded in languages such as VBScript, R, and Python, as well as self-service analytics platforms like Tableau and QlikView. Financial institutions heavily depend on EUC tools, such as Excel spreadsheets and scripts, to adapt swiftly to evolving market demands and regulatory changes. These applications are crucial for tasks ranging from financial modeling to accounting and ensuring adherence to regulatory standards, necessitating effective management. To aid in this, CIMCON Software provides solutions that compile a comprehensive inventory of all EUCs within an organization, pinpoint the most vital files, identify errors, visualize data dependencies, and ensure continuous monitoring and control of critical EUCs. By streamlining this process, organizations can significantly mitigate risks and enhance their operational efficiency.

AI Cloud represents an innovative strategy designed to meet the current demands, challenges, and potential of artificial intelligence. This comprehensive system acts as a single source of truth, expediting the process of bringing AI solutions into production for organizations of all sizes. Users benefit from a collaborative environment tailored for ongoing enhancements throughout the entire AI lifecycle. The AI Catalog simplifies the process of discovering, sharing, tagging, and reusing data, which accelerates deployment and fosters teamwork. This catalog ensures that users can easily access relevant data to resolve business issues while maintaining high standards of security, compliance, and consistency. If your database is subject to a network policy restricting access to specific IP addresses, please reach out to Support for assistance in obtaining a list of IPs that should be added to your network policy for whitelisting, ensuring that your operations run smoothly. Additionally, leveraging AI Cloud can significantly improve your organization’s ability to innovate and adapt in a rapidly evolving technological landscape.

LogicManager is a powerful, holistic Enterprise Risk Management (ERM) platform built to unify governance, risk, and compliance efforts across your entire organization. Designed for risk professionals, compliance officers, internal auditors, and business leaders, LogicManager provides the structure, intelligence, and automation needed to turn risk into a strategic advantage. At its core is our patented Risk Ripple® Intelligence, which maps relationships between risks, controls, processes, vendors, and policies—so you can see how everything is connected. This gives you a dynamic, real-time view of your risk landscape and allows you to act proactively rather than reactively. Whether you're monitoring operational risks, managing regulatory compliance, conducting audits, or ensuring vendor due diligence, LogicManager empowers you to do it all from one centralized platform. Unlike point solutions or spreadsheets, LogicManager offers no-code configuration, robust workflow automation, and integrated tools for incident management, control testing, policy management, and strategic risk assessments. With LogicManager Expert (LMX)—our embedded AI assistant—you’ll receive best-practice recommendations, uncover hidden threats, and accelerate time to value with less manual effort. Trusted by organizations in healthcare, finance, government, education, and beyond, LogicManager simplifies complex processes, improves accountability, and provides board-ready reporting that proves the effectiveness of your governance strategy. Our flat-fee pricing and award-winning support ensure transparency and satisfaction at every step.

Citrusˣ offers a comprehensive platform focused on AI transparency and explainability, empowering organizations to uphold trust in their models. Through the web UI and SDK, data scientists can access Summary and Validation pages to evaluate their models' performance, analyze outcomes, and troubleshoot any issues that arise. Meanwhile, data science managers and Chief Data Officers can oversee their teams' progress, benchmark different models, and confirm that key performance indicators (KPIs) are being achieved. Risk officers and Model Risk Managers (MRMs) can utilize the web interface and detailed reports to ensure the models' reliability, evaluate associated risks, and confirm that AI is employed in a responsible and equitable manner in accordance with regulatory standards. Additionally, executives and regulatory bodies can leverage tailored summary reports to assess the robustness and precision of the models, comprehend the rationale behind their decisions, pinpoint potential risks, and guarantee adherence to compliance protocols, ultimately safeguarding the organization against legal repercussions and preserving its reputation in the industry. This multi-faceted approach ensures that all stakeholders are informed and engaged in the AI governance process.

Tackle complex policy and procedure obstacles using Mitratech's PolicyHub, a comprehensive platform for managing policies. Efficient and budget-friendly, PolicyHub includes capabilities like policy oversight, automated evaluations of knowledge, auditing functions, and detailed reporting. This tool empowers organizations to showcase their commitment to corporate accountability and maintain a robust compliance program. Additionally, PolicyHub allows users to generate in-depth reports on the fly and swiftly respond to audits or investigations, ensuring that they stay ahead in a dynamic regulatory landscape. Ultimately, having such a solution in place can significantly enhance an organization's operational effectiveness and risk management strategies.

Easy, reliable, and cost-effective Governance Risk and Compliance, which enables risk-based decision-making and enhanced business performance. KPMG Risk Hub is a cloud-based, interactive technology solution that provides a real-time view of risks. KPMG offers this managed risk service through a global partnership with IBM® at a flexible, scalable level to meet the unique needs of your business. KPMG Risk Hub's integrated data, effective reports and powerful analytics help leaders make informed risk-based business decisions.

Offers a unified inventory for all essential decision-making assets within an organization, overseeing them throughout their entire lifecycle. Functioning as a comprehensive dashboard for managing decision-related risks, FICO Decision Central ensures optimal decision governance, reduces risk exposure, encourages a perpetual cycle of learning and improvement, and fosters centralized collaboration across the organization. It streamlines workflows and manages processes by reviewing, approving, and tracking open tasks throughout the complete model lifecycle, from initial project proposal to development, deployment, maintenance, evolution, and eventual retirement. Detailed reporting and effective controls meet the stringent regulatory compliance demands arising from new laws, ratings policies, capital requirements, and financial reporting standards. Additionally, it automatically evaluates, validates, reports, monitors, tracks, and enhances the performance of decision models across their entire lifecycle, ensuring that organizations adapt and thrive in an ever-changing environment. This dynamic approach empowers organizations to make informed decisions while maintaining compliance and optimizing their decision-making processes.

Enhance your operational efficiency with superior data through AssetFuture’s innovative technology, which helps you derive insights and anticipate the lifecycle of your assets. We collaborate with you to illuminate data clarity. Experience enhanced transparency through advanced classification, virtualization, and forecasting of asset lifecycles. Access current data, lifecycle modeling, and interactive dashboards that empower you to manage maintenance expenses, plan for capital investments, and craft future asset strategies. AssetFuture serves as a technological solution that allows organizations to accurately forecast costs, manage risks, and assess the performance of the built environment's lifecycle. Our clients benefit from comprehensive insights into the performance and cost metrics of their asset portfolios, enabling them to make informed decisions quickly and confidently. With real-time visualizations of anticipated capital expenditures across your entire portfolio or for specific assets, AssetFuture provides the adaptability needed to prioritize expenditures, formulate asset renewal initiatives, and implement them efficiently. This results in not only streamlined operations but also a proactive approach to asset management.

Gesund stands as the pioneering compliant AI factory dedicated to facilitating the introduction of clinical-grade AI solutions into the market. In order to meet regulatory standards, our platform meticulously audits and validates third-party medical AI solutions, ensuring their safety, effectiveness, and fairness. Gesund seamlessly manages the entire AI/ML lifecycle for all participants by integrating models, data, and expertise within a user-friendly no-code environment. We offer standardized, cohesive, and diverse data tailored to meet your machine learning requirements and regulatory obligations. By evaluating the validation needs of models, Gesund.ai supplies an optimal combination of high-quality data sourced from its extensive network of clinical partners. Model owners can share their clinical studies with Gesund.ai to curate the necessary datasets, subsequently uploading their models onto Gesund.ai's federated validation platform, which can be situated on hospital premises or within a private cloud. Each model undergoes evaluation against a validation dataset that has been specifically curated on the hospital side, ensuring that the results are relevant and reliable, ultimately enhancing the quality of healthcare solutions. Through this comprehensive approach, Gesund not only supports compliance but also accelerates the path to effective AI deployment in clinical settings.

Krista is an intelligent automation platform that does not require any programming knowledge. It orchestrates your people and apps to optimize business results. Krista integrates machine learning and other apps faster than you could imagine. Krista was designed to automate business outcomes and not back-office tasks. Optimizing outcomes requires that you span departments and apps, deploy AI/ML for autonomous decision making, leverage your existing task automation, and enable constant change. Krista digitizes entire processes to deliver organization-wide, bottom line impact. Automating your business faster and reducing the IT backlog is a good idea. Krista significantly reduces TCO when compared to your existing automation platform.

Eclipse Dirigible™ is an application platform designed for high productivity, offering both development tools and a runtime environment. It facilitates the complete development lifecycle of applications by utilizing an in-system programming model alongside rapid application development methods. This platform encompasses the entire development process, including database management and modeling, the creation of RESTful services with various dynamic languages, and user interface generation based on established patterns, as well as role-based security, integration of external services, testing, debugging, operations, and monitoring. All source code and example applications from the Eclipse Dirigible project are available under the Eclipse Public License v 2.0 and can be found on GitHub. Students can utilize this platform to work on projects, explore different technologies and scenarios, and learn widely-used programming languages. With Eclipse Dirigible, you have all the essential tools and resources at your disposal for any development venture you embark upon. Its comprehensive features make it an ideal choice for both beginners and experienced developers alike.

Quantivate has been helping organizations efficiently manage their governance, risk, and compliance (GRC) initiatives since 2005. Quantivate’s scalable technology and service solutions equip organizations of all sizes to make more strategic decisions, improve performance, and reduce costs. Learn about how Quantivate’s integrated platform can simplify GRC management at quantivate.com.

Deeploy empowers users to maintain oversight of their machine learning models. With our responsible AI platform, you can effortlessly deploy your models while ensuring that transparency, control, and compliance are upheld. In today's landscape, the significance of transparency, explainability, and security in AI models cannot be overstated. By providing a secure environment for model deployment, you can consistently track your model's performance with assurance and responsibility. Throughout our journey, we have recognized the critical role that human involvement plays in the realm of machine learning. When machine learning systems are designed to be explainable and accountable, it enables both experts and consumers to offer valuable feedback, challenge decisions when warranted, and foster a sense of trust. This understanding is precisely why we developed Deeploy, to bridge the gap between advanced technology and human oversight. Ultimately, our mission is to facilitate a harmonious relationship between AI systems and their users, ensuring that ethical considerations are always at the forefront.

Baidu AI Cloud Machine Learning (BML) serves as a comprehensive platform for enterprises and AI developers, facilitating seamless data pre-processing, model training, evaluation, and deployment services. This all-in-one AI development and deployment system empowers users to efficiently manage every aspect of their projects. With BML, tasks such as data preparation, model training, and service deployment can be executed in a streamlined manner. The platform boasts a high-performance cluster training environment, an extensive array of algorithm frameworks, and numerous model examples, along with user-friendly prediction service tools. This setup enables users to concentrate on refining their models and algorithms to achieve superior prediction outcomes. Additionally, the interactive programming environment supports data processing and code debugging, making it easier for users to iterate on their work. Furthermore, the CPU instance allows for the installation of third-party software libraries and customization of the environment, providing users with the flexibility they need to tailor their machine learning projects. Overall, BML stands out as a valuable resource for anyone looking to enhance their AI development experience.

Censius is a forward-thinking startup operating within the realms of machine learning and artificial intelligence, dedicated to providing AI observability solutions tailored for enterprise ML teams. With the growing reliance on machine learning models, it is crucial to maintain a keen oversight on their performance. As a specialized AI Observability Platform, Censius empowers organizations, regardless of their size, to effectively deploy their machine-learning models in production environments with confidence. The company has introduced its flagship platform designed to enhance accountability and provide clarity in data science initiatives. This all-encompassing ML monitoring tool enables proactive surveillance of entire ML pipelines, allowing for the identification and resolution of various issues, including drift, skew, data integrity, and data quality challenges. By implementing Censius, users can achieve several key benefits, such as: 1. Monitoring and documenting essential model metrics 2. Accelerating recovery times through precise issue detection 3. Articulating problems and recovery plans to stakeholders 4. Clarifying the rationale behind model decisions 5. Minimizing downtime for users 6. Enhancing trust among customers Moreover, Censius fosters a culture of continuous improvement, ensuring that organizations can adapt to evolving challenges in the machine learning landscape.

The Cardinality Child Support system is a comprehensive solution that is not merely an accelerator but a fully functional model that integrates common HHS data across various programs and agencies, paving the way for improved outcomes for constituents and families. It offers a streamlined approach that can easily adapt to changes, accommodating diverse needs across different jurisdictions, programs, population segments, worker roles, and policy stages. By utilizing advanced Machine Learning and Deep Learning techniques, it personalizes experiences and enhances outcomes for users. This continually updated platform, which is fully supported, incorporates valuable feedback from both customers and workers, enabling features like conversational interfaces, AI-driven automation, as well as actionable recommendations and nudges. With a robust financial module and a powerful rules engine at its core, the system empowers child support agencies to effectively support families in need. Through this user-friendly platform, we can help shape a better future for our youth, leveraging predictive analytics to keep them on the right path. Ultimately, it serves as an integrated, end-to-end system designed to guide constituents towards self-sufficiency by providing tailored training and assistance in securing employment opportunities while fostering community resilience.

Current models are costly to train, complicated to implement, challenging to validate, and notoriously susceptible to generating misleading information. At Symbolica, we are reimagining the process of machine learning from its foundation. By leveraging the highly expressive framework of category theory, we create models that can learn and understand algebraic structures. This approach equips our models with a comprehensive and systematic representation of the world that is both explainable and verifiable. Our goal is to empower developers and end users to grasp and articulate the reasons behind model outputs. This level of interpretability and control over the outputs—such as the ability to remove proprietary data from the training set—is essential for applications that are critical to mission success. Additionally, we believe that enhancing transparency in how models derive their conclusions will foster greater trust and collaboration between humans and machines.

Atmantara serves as a cutting-edge AI infrastructure solution tailored specifically for financial entities, including banks, insurers, and fintech companies, enabling them to deploy and scale bespoke machine learning models both securely and effectively. Optimized for environments that are heavily regulated and rich in data, Atmantara simplifies the complete machine learning lifecycle, from data ingestion to production, by offering a cohesive platform that is friendly to developers. The platform provides both pre-built and customizable models catering to various needs, such as: • Detection of Fraud • Assessment of Credit Risk • Prediction of Customer Churn • Automation of Claims • Collection of Debt • Optimization of Portfolios • Adherence to Regulatory Standards • Enhancement of Payment Processes • Understanding of Documents • Insights into Customer Behavior Equipped with real-time data pipelines, secure model deployment, and comprehensive audit capabilities, Atmantara empowers teams to implement AI solutions with speed, precision, and confidence, thus fostering innovation in the financial sector. As a result, organizations can harness the power of AI to drive better decision-making and enhance overall operational efficiency.

The Oasis Loss Modelling Framework (Oasis LMF) serves as an open-source platform for catastrophe modeling that aims to improve risk assessment through its commitment to transparency, performance, and innovation. Founded as a not-for-profit entity, Oasis LMF provides a wide array of tools for the creation, deployment, and operation of catastrophe models, allowing for flexibility in modeling methods. The platform features a user-friendly web interface and an API that ensures easy integration with various systems, enhancing interoperability and user experience. Key components like Oasis ktools facilitate the large-scale execution of catastrophe models, while the Oasis Model Development Toolkit aids in the creation and testing of new models. With a strong focus on collaboration within the community, Oasis LMF boasts an ecosystem that includes over 18 suppliers and more than 90 different models, promoting a rich and varied modeling landscape. This diverse array of resources underscores the platform's mission to support users in navigating the complexities of risk assessment in an ever-evolving environment.

You can manage your needs, epics and user stories through a series sprints. Each sprint uses your choice of requirements management, model-based systems engineering (MBSE), and test management. You can also choose to use formal change control, configuration management, and change tracking. Cradle®, our requirements management and systems engineering software tool, integrates your entire project lifecycle into one, highly scalable, integrated, multiuser product. Cradle can handle all your requirements management, model driven, defect tracking, and test management needs, no matter how small or large your projects may be. Cradle's unrivaled feature list, flexibility, simplicity, and low cost make it the perfect choice for anyone new to agile methods, systems engineering, or requirements management.

Arize's machine-learning observability platform automatically detects and diagnoses problems and improves models. Machine learning systems are essential for businesses and customers, but often fail to perform in real life. Arize is an end to-end platform for observing and solving issues in your AI models. Seamlessly enable observation for any model, on any platform, in any environment. SDKs that are lightweight for sending production, validation, or training data. You can link real-time ground truth with predictions, or delay. You can gain confidence in your models' performance once they are deployed. Identify and prevent any performance or prediction drift issues, as well as quality issues, before they become serious. Even the most complex models can be reduced in time to resolution (MTTR). Flexible, easy-to use tools for root cause analysis are available.

JFrog ML (formerly Qwak) is a comprehensive MLOps platform that provides end-to-end management for building, training, and deploying AI models. The platform supports large-scale AI applications, including LLMs, and offers capabilities like automatic model retraining, real-time performance monitoring, and scalable deployment options. It also provides a centralized feature store for managing the entire feature lifecycle, as well as tools for ingesting, processing, and transforming data from multiple sources. JFrog ML is built to enable fast experimentation, collaboration, and deployment across various AI and ML use cases, making it an ideal platform for organizations looking to streamline their AI workflows.

Create, execute, and oversee AI models while enhancing decision-making at scale across any cloud infrastructure. IBM Watson Studio enables you to implement AI seamlessly anywhere as part of the IBM Cloud Pak® for Data, which is the comprehensive data and AI platform from IBM. Collaborate across teams, streamline the management of the AI lifecycle, and hasten the realization of value with a versatile multicloud framework. You can automate the AI lifecycles using ModelOps pipelines and expedite data science development through AutoAI. Whether preparing or constructing models, you have the option to do so visually or programmatically. Deploying and operating models is made simple with one-click integration. Additionally, promote responsible AI governance by ensuring your models are fair and explainable to strengthen business strategies. Leverage open-source frameworks such as PyTorch, TensorFlow, and scikit-learn to enhance your projects. Consolidate development tools, including leading IDEs, Jupyter notebooks, JupyterLab, and command-line interfaces, along with programming languages like Python, R, and Scala. Through the automation of AI lifecycle management, IBM Watson Studio empowers you to build and scale AI solutions with an emphasis on trust and transparency, ultimately leading to improved organizational performance and innovation.

Ethos is an all-encompassing Model Risk Management (MRM) platform tailored to optimize each phase of the MRM lifecycle for financial services. By integrating development, documentation, validation, and automated reporting, Ethos makes intricate processes more manageable through the use of real-time dashboards, automated workflows, and solid governance frameworks. This platform guarantees adherence to essential regulatory guidelines such as SR 11-7, OCC 2011-12, NIST, GLBA, CCAR, Basel III, DFAST, and FASB. Ethos also features Governed Inventories, which act as a centralized repository for all models, fostering trust and ensuring alignment throughout various defense lines. Its Workflow Engine not only automates but also standardizes the complete MRM lifecycle, significantly improving operational efficiency and encouraging teamwork among different departments. Developed by experts in the financial sector, Ethos provides reliability, compliance, and resilience, allowing organizations to navigate both conventional and AI-enhanced models adeptly. Additionally, Ethos continuously evolves, incorporating user feedback to enhance functionality and meet the dynamic needs of its users.

The RC-Capital Model serves as an advanced portfolio modeling framework that delivers meticulously calculated risk metrics for diverse multi-asset portfolios across various time frames. This model is particularly beneficial for investment firms and asset managers engaged in credit VaR calculations, counter-party risk assessments, and multi-class asset analyses. It provides a range of outputs including VaRs, Expected Shortfall capital measures, and insights into the capital contributions of individual exposures as well as sub-portfolios, with evaluation periods extending from ten days to thirty years. Furthermore, the framework supports high-speed risk assessments for extensive portfolios, enabling nearly instantaneous capital evaluations for individual prospective transactions. The software is designed for collaborative use, allowing multiple users to manage and analyze different portfolios simultaneously, thereby enhancing efficiency and teamwork in risk management.

Everything you require for proficient credit model administration and smooth AI integration is at your fingertips. Crafting quick, precise, understandable, and equitable credit models has reached an unprecedented level of simplicity. Experience unmatched confidence, clarity, and reliability in your models and their resulting scores. Enhance your competitive edge through detailed control and insights into your lending processes. Regain authority over credit evaluation with both transparency and simplicity. The MMS includes three essential applications that assist lenders throughout the entire credit model lifecycle. Unlock the untapped potential of your existing data and develop trustworthy risk predictions that span the full credit spectrum, enabling stronger and more competitive lending solutions. No other entity has implemented more AI lending models into practice than we have. With Zest, you benefit from a dedicated team that seamlessly integrates with your own, ensuring you have the support you need to thrive. Our commitment to innovation makes your journey into AI-driven lending not just possible but also remarkably efficient.

Enhance team connectivity with cloud-based collaboration platforms that enable stakeholders to access BIM data anytime and anywhere. Organize, edit, and enrich model data to incorporate customized intelligence and transform it into actionable insights throughout the project's duration. Make sure that all stakeholders can easily interpret model data within an intuitive interface that requires no expertise in complex design tools. With Assemble, BIM specialists can convert a design model into a construction-ready model, seamlessly breaking it down into pertinent scopes for subsequent tasks. By utilizing model conditioning workflows, teams can integrate construction information into the model and facilitate the classification and organization of project data effectively. Additionally, user-defined properties can be incorporated into the model without needing to create parameters in Revit, streamlining the process. This approach minimizes repetitive tasks and fosters efficient design review sessions that can take place from any location. Collaboratively assess the implications of design changes with the project team to prevent budget overruns and ensure that the project stays on track. Moreover, this collaborative environment not only enhances communication but also improves overall project efficiency.

We present the Granite series of decoder-only code models specifically designed for tasks involving code generation, such as debugging, code explanation, and documentation, utilizing programming languages across a spectrum of 116 different types. An extensive assessment of the Granite Code model family across various tasks reveals that these models consistently achieve leading performance compared to other open-source code language models available today. Among the notable strengths of Granite Code models are: Versatile Code LLM: The Granite Code models deliver competitive or top-tier results across a wide array of code-related tasks, which include code generation, explanation, debugging, editing, translation, and beyond, showcasing their capacity to handle various coding challenges effectively. Additionally, their adaptability makes them suitable for both simple and complex coding scenarios. Reliable Enterprise-Grade LLM: All models in this series are developed using data that complies with licensing requirements and is gathered in alignment with IBM's AI Ethics guidelines, ensuring trustworthy usage for enterprise applications.

Beautiful dashboards and reports are available in BI tools that allow users to examine patterns in historical data. Past data can provide insights. It cannot be prescriptive. Model-Driven decision making is the only way to get a better understanding of what could happen in unusual situations and how to make it happen. Analytica is an innovative visual software environment that allows you to build, explore, and share quantitative decision models that produce prescriptive results. Transcend cumbersome spreadsheets. Analytica's flexibility, power, flexibility, and clarity are a revelation. Analytica makes it easy to create transparent models in fractions of the time required for procedural languages such as R or Python. Analytica provides insights, not just numbers. Agile modeling can be used to create models that support business decision-making. Probabilistic simulations are efficient and accurate in estimating risk and uncertainty. Smart sensitivity analysis reveals what is important and why.

ModelArts, an all-encompassing AI development platform from Huawei Cloud, is crafted to optimize the complete AI workflow for both developers and data scientists. This platform encompasses a comprehensive toolchain that facilitates various phases of AI development, including data preprocessing, semi-automated data labeling, distributed training, automated model creation, and versatile deployment across cloud, edge, and on-premises systems. It is compatible with widely used open-source AI frameworks such as TensorFlow, PyTorch, and MindSpore, while also enabling the integration of customized algorithms to meet unique project requirements. The platform's end-to-end development pipeline fosters enhanced collaboration among DataOps, MLOps, and DevOps teams, resulting in improved development efficiency by as much as 50%. Furthermore, ModelArts offers budget-friendly AI computing resources with a range of specifications, supporting extensive distributed training and accelerating inference processes. This flexibility empowers organizations to adapt their AI solutions to meet evolving business challenges effectively.