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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Our risk management platform and consultancy equip you to foresee future challenges, maintain your reputation, and enhance business performance through effective governance strategies. Recognizing that risks are interwoven, we have developed our governance sector and point solution packages on a comprehensive taxonomy platform, allowing seamless integration across all departments and supporting you throughout your organization's complete risk management journey. Conducting a risk assessment enables you to pinpoint banking risk trends across various branches while identifying control and process deficiencies. Additionally, understanding location-specific risk elements—such as vulnerability to natural disasters and employee distribution—is crucial for grasping the overall risk landscape of your enterprise. We connect clients with our skilled team of risk management consultants to propel your business forward, complemented by a variety of tailored training sessions and consulting services focused on best practices. This comprehensive approach ensures that you are well-prepared to tackle the complexities of risk in today’s dynamic environment.

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.

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.

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.

IBM Engineering Lifecycle Management (ELM) serves as a cutting-edge, all-inclusive engineering solution, effectively guiding users through every stage from requirements gathering to systems design, workflow, and testing management, while enhancing the capabilities of ALM tools to support intricate systems development. By embracing a holistic perspective throughout the product lifecycle and establishing a robust digital infrastructure for data traceability, organizations can efficiently monitor changes, thereby mitigating risks and lowering expenses. Tackle the intricacies of engineering from conceptual design to final execution, foster collaboration among teams through a cohesive digital thread, utilize modeling and reuse strategies, capitalize on insights derived from automated reporting, and confidently scale operations to create a robust foundation for continuous innovation. The interlinked data within the digital thread will provide a unified source of truth, empowering functional, software, mechanical, and electrical engineering disciplines to work in harmony. This interconnected approach not only streamlines processes but also enhances the overall efficiency and effectiveness of the engineering lifecycle.

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.

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.

Cameo Systems Modeler ™ stands out as a top-tier cross-platform environment for collaborative Model-Based Systems Engineering (MBSE), offering sophisticated, user-friendly tools to delineate, monitor, and visualize every facet of systems through compliant SysML models and diagrams. This environment empowers systems engineers to perform engineering analyses to assess design decisions and verify requirements while maintaining ongoing checks for model consistency and tracking design advancements with relevant metrics. Furthermore, system models can be efficiently managed in remote repositories, saved as standard XMI files, or transformed into documents, images, and web views, catering to the diverse needs of various stakeholders involved in the project. By streamlining these processes, Cameo Systems Modeler ™ enhances communication and collaboration among teams, ultimately leading to more effective system development.

Sophisticated hydraulic modeling software enhances the efficiency and robustness of analyzing and managing water supply systems. InfoWorks WS Pro allows water utilities to evaluate water distribution to specific customers while facilitating rapid investigation and resolution of supply shortages or contamination events. This software aids companies in maintaining compliance with regulatory requirements and delivering consistent value to their consumers. Additionally, the modeling features of InfoWorks WS Pro help illustrate the effects of network investments, empowering water companies to develop their investment strategies with increased assurance. Furthermore, InfoWorks WS Pro supports scalable, enterprise-level hydraulic models, featuring multi-user capabilities, customizable access controls, and versioning for model tracking, along with data flags for monitoring changes. The precise depiction of often intricate network assets is essential for ensuring users have confidence in their hydraulic modeling tools, ultimately leading to better operational decisions in water management. Moreover, the seamless integration of these capabilities promotes collaboration among various stakeholders involved in water supply management.

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.

A scalable, real-time, collaborative, out-of-the box solution for CROs, Life Science Consultants and Industry Stakeholders. Built in an Audit Ready Compliant Cloud environment (ARCC). All 21 CFR Part 11 requirements are met. GxP audit ready. Pre-configured Departmental. Communications with internal and external stakeholder. Secure data integration between remote teams. Collaboration in review and approval. Turn access on/off according to need (EX: auditors), reducing audit prep time from days to hours. Preconfigured to eTMF Reference models & EDM. Intelligent content management tools can improve workflows. Improve document management with real-time collaboration, automatic indexing and co-authoring. Pre-configured, validated system that manages documents and data electronically in accordance with eCTD mandates.

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.

The premier platform designed for the complete computer vision process allows you to evolve from image annotation to precise neural networks at speeds up to ten times quicker. Utilizing our exceptional data labeling tools, you can convert your images, videos, and 3D point clouds into top-notch training data. This enables you to train your models, monitor experiments, visualize results, and consistently enhance model predictions, all while constructing custom solutions within a unified environment. Our self-hosted option ensures data confidentiality, offers robust customization features, and facilitates seamless integration with your existing technology stack. This comprehensive solution for computer vision encompasses multi-format data annotation and management, large-scale quality control, and neural network training within an all-in-one platform. Crafted by data scientists for their peers, this powerful video labeling tool draws inspiration from professional video editing software and is tailored for machine learning applications and beyond. With our platform, you can streamline your workflow and significantly improve the efficiency of your computer vision projects.

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.

itemis ANALYZE serves as a sophisticated solution for managing traceability, effectively constructing a detailed knowledge graph that links every aspect of your development toolchain, from modeling tools to code. It integrates effortlessly into existing workflows, enhancing productivity while offering a thorough overview of the complete project lifecycle. Designed to complement ALM, PLM, or Requirements Management Tools, it ensures transparency and meticulous documentation throughout the development process, making it easy to validate that all requirements are met to uphold quality standards. You can easily identify and monitor the connections among various components of a software system, such as requirements, design, code, and testing, while also addressing the security risks that may arise. The platform includes built-in validations to maintain the integrity of your traceability efforts, with automatic detection of duplicate entries. Additionally, itemis ANALYZE is equipped with a wide range of specialized tool adapters, as well as generic adapters for commonly used file formats, ensuring versatility and ease of integration in diverse project environments. This comprehensive approach ultimately allows teams to focus more on development and less on administrative overhead.

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.

A visual inspection platform that manages data, speeds troubleshooting, scales deployment, and more. LandingLens is an AI visual inspection platform that works for businesses. Your labeling process is faster by as much as half and model deployment times by up to 67%. You can manage a few thousand to thousands of models using very little resources. Smart labeling and data generation improve the accuracy of your machine-learning models. You can track and manage the efficiency and current data assets of AI projects and deploy solutions across all company sites. Alerts you when the model drifts. You can easily update and adjust your solutions without having to rely on a third-party AI team. Allow manufacturers to develop, deploy, manage and monitor industrial AI projects using a single integrated platform.

Arundo Enterprise presents a versatile and modular software suite designed for the development of data products tailored for individuals. By linking real-time data with machine learning and various analytical frameworks, we ensure that the outcomes of these models directly inform business strategies. The Arundo Edge Agent facilitates industrial connectivity and analytics, even in harsh, remote, or non-connected settings. With Arundo Composer, data scientists can effortlessly deploy desktop analytical models into the Arundo Fabric cloud environment using just one command. Additionally, Composer empowers organizations to create and manage live data streams, seamlessly integrating them with existing data models. Serving as the central cloud-based hub, Arundo Fabric supports the management of deployed machine learning models, data streams, and edge agent oversight while offering streamlined access to further applications. Arundo's impressive range of SaaS products is designed to maximize return on investment, and each solution comes equipped with a fundamental functionality that capitalizes on the inherent strengths of Arundo Enterprise. The comprehensive nature of these offerings ensures that companies can leverage data more effectively to drive decision-making and innovation.

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.

Geminai serves as YN3D’s innovative platform that provides an incredibly lifelike Digital Twin, enhancing operational efficiency for all parties involved in the management and servicing of physical assets. By visualizing these assets through advanced reality models and integrating detailed information, Geminai allows users to consolidate, visualize, and disseminate data within the most authentic visual setting achievable. Offering a Digital Twin that embodies true photorealism equips stakeholders with unparalleled insights that can enhance productivity and safety, minimize lifecycle costs, and facilitate more informed decision-making. Moreover, utilizing high-fidelity 3D models to view assets eliminates interpretation errors and fosters better collaboration among stakeholders, moving beyond the limitations of traditional 2D documents. This approach not only revolutionizes asset management but also ensures that all relevant information is readily accessible and comprehensible to everyone involved.

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.

BIOVIA solutions foster an unparalleled environment for scientific management, enabling organizations focused on science to develop and interlink innovations in biology, chemistry, and materials to enhance our quality of life. The leading BIOVIA portfolio emphasizes the seamless integration of diverse scientific disciplines, experimental workflows, and information needs throughout the entire spectrum of research, development, quality assurance, quality control, and manufacturing. It boasts capabilities spanning Scientific Informatics, Molecular Modeling and Simulation, Data Science, Laboratory Informatics, Formulation Design, BioPharma Quality and Compliance, as well as Manufacturing Analytics. BIOVIA is dedicated to accelerating innovation, boosting productivity, enhancing quality and compliance, lowering costs, and expediting product development for clients across various sectors. Additionally, it plays a crucial role in managing and unifying scientific innovation processes and information throughout the entire product lifecycle, ensuring a comprehensive approach to scientific advancement.

Wrench SmartProject serves as a comprehensive digital platform designed to oversee and manage all project deliverables throughout the phases of engineering, procurement, construction, quality assurance, and handover, while also organizing data and documents for the entire lifecycle of a project. Available for implementation in modular formats, the service begins at a rate of $30 per user per month. It enables users to compile a master document list that outlines the workflow and responsibilities for each document, facilitating online collaboration among all stakeholders in accordance with defined workflows. Additionally, the platform allows for the attachment of related drawings, documents, and 3D models, ensuring that revision histories and audit trails are meticulously maintained. Users benefit from automated dashboards and reports that provide insights into all engineering deliverables and communications, whether generated internally or submitted by vendors, enhancing transparency and project management efficiency. This holistic approach not only streamlines processes but also fosters accountability and clarity throughout the project's duration.

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.

Easily train and deploy large-scale AI models with just a single command by pointing to your S3 bucket—then let us take care of everything else, including orchestration, efficiency, node failures, and infrastructure management. The process is straightforward and scalable, allowing you to utilize MosaicML to train and serve large AI models using your own data within your secure environment. Stay ahead of the curve with our up-to-date recipes, techniques, and foundation models, all developed and thoroughly tested by our dedicated research team. With only a few simple steps, you can deploy your models within your private cloud, ensuring that your data and models remain behind your own firewalls. You can initiate your project in one cloud provider and seamlessly transition to another without any disruptions. Gain ownership of the model trained on your data while being able to introspect and clarify the decisions made by the model. Customize content and data filtering to align with your business requirements, and enjoy effortless integration with your existing data pipelines, experiment trackers, and other essential tools. Our solution is designed to be fully interoperable, cloud-agnostic, and validated for enterprise use, ensuring reliability and flexibility for your organization. Additionally, the ease of use and the power of our platform allow teams to focus more on innovation rather than infrastructure management.