DataRobot Integrations

Utilize Tableau to acquire, create, and evaluate business data while deriving valuable insights through its comprehensive business intelligence (BI) and analytics capabilities. This powerful tool enables users to gather information from a variety of sources, including spreadsheets, SQL databases, Salesforce, and various cloud applications. With Tableau's real-time visual analytics and interactive dashboards, users can dissect and analyze datasets, leading to pertinent insights and the identification of new business opportunities. Additionally, Tableau offers customization options that cater to a wide range of industry sectors, such as finance, telecommunications, and beyond, ensuring that it meets the unique needs of each vertical. As a result, organizations can leverage Tableau to enhance decision-making processes and drive growth effectively.

COZYROC's SSIS+ suite includes 270+ Data integration adapters, ETL components and tasks for developing ETL solutions with MS SQL Server Integration Services.

Tableau Catalog provides significant advantages for all users by offering a comprehensive view of data and its relationships within the Tableau ecosystem, thereby enhancing both trust and accessibility for IT and business professionals alike. This tool ensures that whether you're updating data, analyzing a dashboard, or searching for the appropriate dataset, you can be assured that your organization is consistently utilizing accurate information. Tableau Catalog automatically aggregates every data asset present in your Tableau setup into a unified list, eliminating the need for manual index scheduling or complex connectivity configurations. It allows for effortless access to all tables, files, and databases in a single location. Changes such as database migrations, field deprecations, or the addition of new columns can significantly impact the assets in your environment. By employing lineage and impact analysis, you gain insight into how these modifications will affect various assets and identify the individuals who may be impacted by such changes. Consequently, this promotes a more informed and collaborative data management approach across the organization.

Achieve in minutes what previously took years to develop with our straightforward, adaptable, scalable, and secure machine learning monitoring solution. You’ll find all the tools necessary to deploy, sustain, and enhance machine learning in a production environment. Superwise offers an open platform that seamlessly integrates with any machine learning infrastructure and connects with your preferred communication tools. If you wish to explore further, Superwise is designed with an API-first approach, ensuring that every feature is available through our APIs, all accessible from the cloud platform of your choice. With Superwise, you gain complete self-service control over your machine learning monitoring. You can configure metrics and policies via our APIs and SDK, or you can simply choose from a variety of monitoring templates to set sensitivity levels, conditions, and alert channels that suit your needs. Experience the benefits of Superwise for yourself, or reach out to us for more information. Effortlessly create alerts using Superwise’s policy templates and monitoring builder, selecting from numerous pre-configured monitors that address issues like data drift and fairness, or tailor policies to reflect your specialized knowledge and insights. The flexibility and ease of use provided by Superwise empower users to effectively manage their machine learning models.

Integrate powerful functionalities seamlessly within leading applications on the market. Effortlessly link your customer accounts without the hassle of cumbersome processes. There's no need to enroll in developer programs, reach out to customer support, undergo any verification, or fill out countless forms. Just choose the applications you want to connect with. Construct your ideal integration using well-designed components that are ready to use. There's no need to reinvent the wheel; concentrate on what sets your app apart from the rest. Avoid spending unnecessary time duplicating the same logic across multiple applications. Universal flows allow for intricate, multi-step integrations that can span a variety of apps. You and your customers have the flexibility to tailor the logic for any specific application. With Universal Data Sources, you can read, write, and track changes for similar data across numerous applications simultaneously. This feature enables both you and your customers to define where each data source is directed within a particular app. Additionally, Universal field mappings simplify the transformation of fields between your application and many others, eliminating the need to delve into individual data schemas, thereby streamlining the integration process. This approach not only saves time but also enhances efficiency across all platforms involved.

If you're looking to establish a governed delta lake, create a data warehouse, or transition from a conventional database to a contemporary cloud data solution, Lyftrondata has you covered. You can effortlessly create and oversee all your data workloads within a single platform, automating the construction of your pipeline and warehouse. Instantly analyze your data using ANSI SQL and business intelligence or machine learning tools, and easily share your findings without the need for custom coding. This functionality enhances the efficiency of your data teams and accelerates the realization of value. You can define, categorize, and locate all data sets in one centralized location, enabling seamless sharing with peers without the complexity of coding, thus fostering insightful data-driven decisions. This capability is particularly advantageous for organizations wishing to store their data once, share it with various experts, and leverage it repeatedly for both current and future needs. In addition, you can define datasets, execute SQL transformations, or migrate your existing SQL data processing workflows to any cloud data warehouse of your choice, ensuring flexibility and scalability in your data management strategy.

Mona is a flexible and intelligent monitoring platform for AI / ML. Data science teams leverage Mona’s powerful analytical engine to gain granular insights about the behavior of their data and models, and detect issues within specific segments of data, in order to reduce business risk and pinpoint areas that need improvements. Mona enables tracking custom metrics for any AI use case within any industry and easily integrates with existing tech stacks. In 2018, we ventured on a mission to empower data teams to make AI more impactful and reliable, and to raise the collective confidence of business and technology leaders in their ability to make the most out of AI. We have built the leading intelligent monitoring platform to provide data and AI teams with continuous insights to help them reduce risks, optimize their operations, and ultimately build more valuable AI systems. Enterprises in a variety of industries leverage Mona for NLP/NLU, speech, computer vision, and machine learning use cases. Mona was founded by experienced product leaders from Google and McKinsey&Co, is backed by top VCs, and is HQ in Atlanta, Georgia. In 2021, Mona was recognized by Gartner as a Cool Vendor in AI Operationalization and Engineering.

Create a scalable architecture that treats data products as first-class citizens. Automate and repurpose data products. Enable compliance and robust data governance. Control the costs of your data products and pipelines for Snowflake. This global pharmaceutical giant's data product teams can benefit from next-generation analytics using self-service data and analytics infrastructure that includes Snowflake and other tools that use a data mesh approach. The DataOps.live platform allows them to organize and benefit from next generation analytics. DataOps is a unique way for development teams to work together around data in order to achieve rapid results and improve customer service. Data warehousing has never been paired with agility. DataOps is able to change all of this. Governance of data assets is crucial, but it can be a barrier to agility. Dataops enables agility and increases governance. DataOps does not refer to technology; it is a way of thinking.

Quickwork is used by enterprises to create simple and complex workflows. It also allows them to create and publish APIs that are secure, and to manage conversational interactions between employees, customers, and partners. This helps to provide an excellent user experience. Quickwork is an all-in one platform that provides the tools and services needed to build powerful and scalable integrations. It also offers serverless APIs and conversational experiences. Drag and drop applications to create powerful integrations. No need to write a line of code. You can choose from 1000s of apps for business, consumer, analytics, messaging and IoT. Quickwork's API Management allows you to convert any workflow into an REST API in a single click. Our serverless infrastructure allows you to scale your APIs elastically and securely. Create and manage real-time messaging and conversational workflows across multiple channels with human agents, IoT devices, and chatbots.

Majesco stands out as the premier software partner for both Property & Casualty (P&C) and Life & Annuity (L&A) insurance sectors, facilitating rapid modernization, optimization, and innovation in their operations. With over 330 clients, including greenfield ventures, startups, managing general agents (MGAs), and some of the largest insurers, reinsurers, and brokers, Majesco's advanced SaaS platform solutions encompass core systems, data analytics, digital interfaces, distribution, absence management, and a vast ecosystem of both established and InsurTech partners, all aimed at shaping the future of the insurance industry. Our technology and expertise empower insurers to transform and innovate, ensuring they remain agile and competitive in a fast-paced market. By leveraging cutting-edge technologies like cloud computing, microservices, and API integration, we go beyond mere industry jargon. At Majesco, we actively implement these innovations, enabling carriers to adapt swiftly to market changes, generate substantial business value, and provide their customers with enhanced, quicker innovations tailored to their needs. Our commitment to driving the future of insurance is unwavering, as we continuously evolve our offerings to meet the dynamic demands of the industry.

The fastest way to integrate APIs, and run code. Pipedream is a serverless computing platform and integration platform that makes it easy for developers to create event-driven workflows and connect apps. Any API can be turned into an event stream by creating event sources. You can create event sources to listen for tweets, Github events or Airtable records. You can inspect events in a human-friendly manner, trigger Node.js workflows for every event, and consume events in your app via API. Node.js code steps are used to create workflows that run on every event. You can write your own Node.js and use any npm packages. Or you can reuse actions that scaffold popular APIs. You can trigger via sources, a custom URL, email address or SDK code, or a schedule. Connect to Auth apps once and they will continue to work in your workflow. Pipedream supports OAuth, key-based auth and handles token refresh and OAuth flow for you. Simply link accounts to steps, and include the appropriate auth information in code.

UniverseBridge enables the smooth integration of your data from SAP BusinessObjects into various data visualization applications, empowering you to utilize the corporate business logic that has already been established within your SAP BusinessObjects Universes. By building on what you’ve previously created in BusinessObjects, you can generate interactive visualizations and applications with ease. This allows for the effortless utilization of your existing corporate business logic while linking data from legacy Universes and other sources without the need for redevelopment. You can harness the capabilities of your current BusinessObjects Universes without the hassle of rewriting SQL Queries or incurring costs for new solutions. Front-end design can be performed using data visualization tools while allowing your business users to engage with their preferred tools. Additionally, you can federate data across legacy Universes without the need to transition to Multi Source Universes. Our assistance spans the entire data and analytics lifecycle, from strategic planning to execution, enabling you to derive insights from your data and address intricate business challenges effectively. We are dedicated to helping you maximize the potential of your data assets for informed decision-making.

SpendView offers a thorough Spend Analytics solution that aggregates, organizes, and categorizes all spending data in a single platform, providing businesses with complete insight into their expenditures. By utilizing SpendView, organizations can gain control over their spending habits, enhance their purchasing strategies, and uncover cost-saving opportunities that can significantly boost profitability. Assess the potential financial benefits of curtailing unauthorized spending and streamlining supplier relationships. Evaluate vendor performance in relation to your company's objectives and analyze the number of suppliers and the amount of spending linked to specific categories. With SpendView, you can consolidate, cleanse, and classify your expenditure data independently, without the need for third-party assistance. You have the flexibility to set the rules for your data processing, define the classification taxonomy, schedule data refreshes, and decide the granularity of your data classification. This empowers you to conduct your own analyses and answer your questions at your convenience. Additionally, you can create tailored reports and visual representations, as well as incorporate supplementary data sources to enhance the depth of your analysis, ultimately leading to more informed decision-making. As a result, SpendView not only streamlines financial oversight but also enables proactive management of spending strategies.

Enhance Qlik's standard mapping features by utilizing the advanced visualizations offered by QlikMaps. This tool allows you to incorporate interactive location analytics into your Qlik applications, unveiling insights hidden from traditional graphs and charts. Experience the benefits of Geographic Information System (GIS) technology without the associated expenses and complexities. As a genuine extension of Qlik, QlikMaps is straightforward to install and set up. Within minutes and without needing any coding skills, you can generate maps featuring custom colors, pop-up information, multiple layers, and options for detailed exploration. There’s no need for additional servers, and all third-party licensing is included, making the process of creating mapping visualizations as effortless as designing any other component in Qlik. With its intuitive user interface, end-user training is unnecessary. You can effortlessly plot various elements such as territories, polygons, heat maps, points, lines, and density maps. Moreover, you can enrich your data analysis by overlaying it on postal boundaries, providing real-world context that enhances your insights significantly. This capability allows businesses to make data-driven decisions that are more informed and strategically sound.

An advanced machine learning monitoring system is designed to simplify the oversight and troubleshooting of numerous models. With unmatched explainability accuracy and exclusive analytical capabilities, data scientists can effectively navigate challenges without encountering false alarms or dead ends, enabling them to swiftly tackle critical issues. This ensures that your machine learning models remain fine-tuned, ultimately optimizing your business performance. TruEra's solution is powered by a state-of-the-art explainability engine that has been honed through years of meticulous research and development, showcasing a level of accuracy that surpasses contemporary tools. The enterprise-grade AI explainability technology offered by TruEra stands out in the industry. The foundation of the diagnostic engine is rooted in six years of research at Carnegie Mellon University, resulting in performance that significantly exceeds that of its rivals. The platform's ability to conduct complex sensitivity analyses efficiently allows data scientists as well as business and compliance teams to gain a clear understanding of how and why models generate their predictions, fostering better decision-making processes. Additionally, this robust system not only enhances model performance but also promotes greater trust and transparency in AI-driven outcomes.

The Robust Intelligence Platform is designed to integrate effortlessly into your machine learning lifecycle, thereby mitigating the risk of model failures. It identifies vulnerabilities within your model, blocks erroneous data from infiltrating your AI system, and uncovers statistical issues such as data drift. Central to our testing methodology is a singular test that assesses the resilience of your model against specific types of production failures. Stress Testing performs hundreds of these evaluations to gauge the readiness of the model for production deployment. The insights gained from these tests enable the automatic configuration of a tailored AI Firewall, which safeguards the model from particular failure risks that it may face. Additionally, Continuous Testing operates during production to execute these tests, offering automated root cause analysis that is driven by the underlying factors of any test failure. By utilizing all three components of the Robust Intelligence Platform in tandem, you can maintain the integrity of your machine learning processes, ensuring optimal performance and reliability. This holistic approach not only enhances model robustness but also fosters a proactive stance in managing potential issues before they escalate.

The AI revolution has arrived. The regulatory landscape is constantly changing, and innovation is moving at lightning speed. How can you ensure that your AI systems, as well as those of your vendors, remain compliant, secure, and trustworthy? Cranium helps cybersecurity teams and data scientists understand how AI impacts their systems, data, or services. Secure your organization's AI systems and machine learning systems without disrupting your workflow to ensure compliance and trustworthiness. Protect your AI models from adversarial threats while maintaining the ability to train, test and deploy them.

Leverage the capabilities of Qlik® Staige™ to transform AI into a tangible reality by establishing a reliable data infrastructure, incorporating automation, generating actionable predictions, and creating a significant impact across your organization. AI transcends mere experiments and initiatives; it represents a comprehensive ecosystem filled with files, scripts, and outcomes. Regardless of where you allocate your resources, we have collaborated with premier sources to provide integrations that enhance efficiency, facilitate management, and ensure quality assurance. Streamline the process of delivering real-time data to AWS data warehouses or data lakes, making it readily available through a well-governed catalog. Our latest partnership with Amazon Bedrock allows for seamless connections to essential large language models (LLMs) such as A21 Labs, Amazon Titan, Anthropic, Cohere, and Meta. This smooth integration with Amazon Bedrock not only simplifies access for AWS customers but also empowers them to harness large language models alongside analytics, resulting in insightful, AI-driven conclusions. By utilizing these advancements, organizations can fully unlock their data's potential in innovative ways.

The Azure Marketplace serves as an extensive digital storefront, granting users access to a vast array of certified, ready-to-use software applications, services, and solutions provided by both Microsoft and various third-party vendors. This platform allows businesses to easily explore, purchase, and implement software solutions directly within the Azure cloud ecosystem. It features a diverse selection of products, encompassing virtual machine images, AI and machine learning models, developer tools, security features, and applications tailored for specific industries. With various pricing structures, including pay-as-you-go, free trials, and subscriptions, Azure Marketplace makes the procurement process more straightforward and consolidates billing into a single Azure invoice. Furthermore, its seamless integration with Azure services empowers organizations to bolster their cloud infrastructure, streamline operational workflows, and accelerate their digital transformation goals effectively. As a result, businesses can leverage cutting-edge technology solutions to stay competitive in an ever-evolving market.

SAP Business Data Cloud serves as a comprehensive managed SaaS solution that integrates and governs all data from SAP while effortlessly linking to external data sources, thus equipping business leaders with essential context for making significant decisions. This platform features critical data products that ensure access to SAP information across vital business operations in a well-regulated and contextual manner, which helps to mitigate the significant expenses tied to data extraction and duplication. As a premier data platform, it facilitates the seamless integration of all SAP and external data in partnership with Databricks, offering robust insight applications that enhance advanced analytics and strategic planning across multiple business sectors. By synchronizing all essential data within a collaborative open data environment and utilizing a strong semantic layer, SAP Business Data Cloud delivers exceptional business insights. Additionally, this system not only enhances decision-making but also drives innovation by making advanced data capabilities accessible to various departments.

CData Python Connectors make it easy for Python users to connect to SaaS and Big Data, NoSQL and relational data sources. Our Python Connectors provide simple Python database interfaces to (DB-API), making them easy to connect to popular tools like Jupyter Notebook and SQLAlchemy. CData Python Connectors wrap SQL around APIs and data protocol, making it easier to access data from Python. It also allows Python users to connect more than 150 SaaS and Big Data data sources with advanced Python processing. The CData Python Connectors bridge a critical gap in Python tooling, providing consistent connectivity with data-centric interfaces for hundreds of SaaS/Cloud, NoSQL and Big Data sources. Download a 30-day free trial or learn more at: https://www.cdata.com/python/

Creating AI solutions necessitates a robust engineering strategy that emphasizes resilience, openness, and repeatability to attain the required quality and agility. Up until now, these initiatives have lacked a solid foundation to tackle these issues amidst a multitude of specialized tools and the rapidly evolving landscape of models and data. A collaborative development platform is essential for automating the creation and management of AI applications that cater to various user roles. By extracting highly detailed customer profiles from organizational data, businesses can forecast behaviors in real-time and on a large scale. AI-driven models can be generated to facilitate continuous learning and to meet specific business objectives. This approach also allows organizations to clarify and demonstrate their compliance with relevant laws and regulations. CognitiveScale's Cortex AI Platform effectively addresses enterprise AI needs through a range of modular offerings. Customers can utilize and integrate its functionalities as microservices within their broader AI strategies, enhancing flexibility and responsiveness to their unique challenges. This comprehensive framework supports the ongoing evolution of AI development, ensuring that organizations can adapt to future demands.