Technology Alliances

The Artificial Intelligence Infrastructure Alliance (AIIA) is a consortium of leading artificial intelligence startups with a mission to help every company realize the infinite potential of AI. Formed in February 2021, the Alliance is focused on tying together the complex web of existing AI technologies into a single Canonical Stack, providing the infrastructure on which any company—from tiny startups to global enterprises—can run impactful AI projects. Founding members include Pachyderm, Seldon, Determined AI, Algorithmia, Tecton, ClearML by Allegro AI, Neu.ro, ZenML by Maiot, DAGsHub, TerminusDB, WhyLabs, YData, Superb AI, Valohai, Superwise.ai, Full Stack Machine Learning Operating System | cnvrg.io , Arize AI, CometML, Iguazio, UbiOps, and Fiddler. To learn more about the AIIA or to become a member, visit AI Infrastructure Alliance

Simplify and automate the end-to-end analytics workflow – from data prep to machine learning – for faster, more accurate insights.

Getting data prepared for predictive analysis can take up to 80% of your time, and we know you’d rather be spending that time doing something else.

Furthermore, once you get that data, you may not know what to do with it or how to build models in order to derive impactful insights.

DataRobot allows Alteryx users with no data science or programming background to quickly and easily generate predictive insights in minutes, not months, by using automated machine learning to build highly-accurate models.

The result: an easier, faster, and more accurate enterprise-grade analytics experience for you.

You can download the DataRobot tools for free from the Predictive District inside the Alteryx Analytics Gallery. Please note that Alteryx version 2018.1 or above is required to use version 4.0 of these tools (release notes).

Enterprises today collect vast amounts of data for business processes such as loan applications, insurance claims, and medical records. The combination of Automation Anywhere and DataRobot allows enterprises to further democratize and accelerate digital transformation.

DataRobot and Automation Anywhere bring together a common focus to give enterprises the tools to fully democratize and combine artificial intelligence (AI) with robotic process automation (RPA). The combination of RPA, cognitive and analytics technologies allows automation of complex business processes that involve unstructured data embedded in documents and emails. Machine learning models can be trained using this data and applied to real-world business problems to automatically make decisions and recommend actionable outcomes to the user. By combining Automation Anywhere with DataRobot, organizations can greatly increase the depth and breadth of use cases that can be automated using the industry’s most widely adopted Digital Workforce and Automated Machine Learning platform. Visit the Automation Anywhere Bot Store to get the DataRobot bot for fraudulent claim detection.

DataRobot AI Cloud on AWS offers the fastest way for organizations of all sizes to get up and running with automated machine learning. DataRobot AI Cloud offers an enterprise machine learning platform that empowers users of all skill levels, not just experienced data scientists, to build world-class prediction models in just minutes. DataRobot AI Cloud on AWS reduces overhead and allows organizations to scale machine learning services up and down as needed, only paying for the resources they use.

This solution is delivered through a software-as-a-service (SaaS) delivery model by DataRobot, an AWS Partner Network (APN) Partner with Machine Learning, Data & Analytics, and Financial Services Competency designations. Learn more about how DataRobot works on AWS.

Embrace a more intelligent approach to Robotic Process Automation (RPA) to build a more efficient workforce.

While RPA works well to automatically address an organization’s repetitive responsibilities, many organizations will likely struggle to scale if it is not coupled with AI and machine learning tools. With the pairing of AI with RPA, a new, upgraded acronym emerges: IPA (intelligent process automation). IPA adds a new layer of intelligent decision-making processes to automated tasks that standard RPA tools lack. DataRobot’s integration with Blue Prism’s Intelligent RPA Platform enables organizations to scale AI models quickly, detect opportunities to improve efficiencies and improve customer experiences.

Visit the Blue Prism Digital Exchange to download the integration today.

Get the most value out of your data by integrating enterprise-grade scalability and predictive modeling.

Cloudera and DataRobot have partnered to deliver an integrated technology solution that runs in Hadoop and utilizes the power of automation and machine learning to extract the most value out of all your data.

The DataRobot integration with Cloudera Enterprise incorporates the best of data science, automated machine learning, and the massive processing power inherent in the Hadoop environment to empower users to get to business insight quickly by discovering and optimizing predictive models in less time.
The DataRobot integration with Cloudera Data Science Workbench enables data scientists and business analysts with a self-service approach to data science:

• Develop models in Python, R or Scala without having to worry about the details of Hadoop and Spark
• Utilize automated machine learning to optimize and tune models in order to create the most accurate models
• Easy and secure access to data and distributed processing

Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Databricks provides a Unified Analytics Platform powered by Apache Spark for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership.

Get to business insights and results much faster with the acceleration of model building, deployment and re-training.

Domino Data Lab and DataRobot enable data scientists and business analysts to accelerate the development and delivery of models.

Users are empowered and enabled with key capabilities of rapid model development, automated machine learning, seamless collaboration, fast iteration, and one-click model deployment.

This greatly increases productivity, removes bottlenecks in the data science lifecycle, and promotes continued collaboration on future projects.

We empower our Middle East customers in their AI transformation to improve performance and reduce cost. Excellence, Quality and Trust is our principles. Our services include Strategy Consulting, Technical Architecture & Development Services, Trainings and unparalleled Support.

Gain a complete, end-to-end, AI-enabled solution for your quantitative investment management workflows and eliminate the need for disparate systems. Build and deploy predictive models from DataRobot directly within your FactSet research, portfolio construction, and analytics environment.

DataRobot on FactSet allows asset managers, banks, and hedge funds to produce predictions, automated insights, and forecasts from the expansive data within the FactSet platform. By providing access to hundreds of advanced machine learning models backed by the knowledge, experience, and best practices of the world’s leading data scientists directly to FactSet users, this partnership gives quantitative and fundamental research professionals alike the data and tools they need to build integrated AI-Driven investment decision processes quickly and easily, without writing any code.

Whether you are using AI to identify new sources of alpha, manage risk exposure, or uncover hidden relationships between factors that drive investment performance, DataRobot on FactSet can give you the winning edge in the emerging quant arms race.

Drive innovation and realize faster time to value, using DataRobot’s powerful and collaborative AI Cloud platform on the flexible and easy-to-use Google Cloud Platform.

DataRobot AI Cloud helps organizations get AI and automated machine learning into
production fast. Your current team members, with any skill level and from any part of the organization, can collaborate using the latest machine learning technology. Seamless integration with Google’s BigQuery enables users to build models, set up time series forecasting, run other types of analyses, or create predictions.
This solution is available on a private cloud platform from DataRobot, a Build partner within the Google Cloud partner program. Learn more about how DataRobot works on GCP.

Groundswell’s mission to be the public sector’s leading solutions firm, bringing modern approaches to some of the most complex challenges facing our world. This means rising to today’s challenges, with an urgency to unite unique talent, and position that talent in ways that create seismic change for our clients.

Hewlett Packard Enterprise is the global edge-to-cloud platform as-a-service company that helps organizations accelerate outcomes by unlocking value from all of their data, everywhere. Built on decades of reimagining the future and innovating to advance the way people live and work, HPE delivers unique, open and intelligent technology solutions, with a consistent experience across all clouds and edges, to help customers develop new business models, engage in new ways, and increase operational performance.

Immuta is a unified data platform for the world’s most secure organizations, freeing data science teams to securely access and work with high-value data.

You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society.

Al-Driven Investment Strategies at Velocity: The Winning Edge in Highly Volatile and Time Sensitive Markets

Competition in financial markets is more intense and top line growth harder to achieve than ever. Firms that leverage AI and machine learning will not only thrive, but dominate in their ultra-competitive environments.

The combination of DataRobot’s Automated Time Series solution and the kdb+ Time Series database provides a winning edge with one unifying piece of architecture that changes the speed in which financial institutions can analyze data to draw inferences, and build and deploy time-aware machine learning models. The combination of the two technologies will empower financial firms, giving them the ability to make extremely fast and accurate predictions immediately, and at unprecedented scale and speed over rival firms.

Reach production AI faster by creating and managing unstructured training data in one place so you can focus on building the next big thing.

Simplify, model, and automate user workflows for big data analytics and machine learning that is scalable and accessible across the organization.

The opportunity to become an AI-driven enterprise is out of reach for many organizations. The creation of machine learning models that rely on traditional modeling methods typically require teams of data scientists, resources with domain knowledge, and months of time. To meet the growing demand of making accurate data accessible for business decisions, there is a sense of urgency to enable business analysts, software engineers, and data engineers to build machine learning models.

DataRobot and Looker enable users to accelerate and simplify the data science workflow. Organizations can now improve their data analytics and see dramatic increases in the efficiency of their modeling workflows. With tools like the DataRobot automated machine learning platform for deploying AI and the Looker data platform for curating data, users can now build powerful, enterprise-grade, and scalable machine learning models more quickly than ever.

Microsoft Azure is an ever-expanding set of cloud services to help your organization meet your business challenges. It’s the freedom to build, manage, and deploy applications on a massive, global network using your favorite tools and frameworks.

Deliver trusted intelligence everywhere with AI-driven apps

MicroStrategy combined with DataRobot’s AI Cloud platform increases the speed of decision-making by quickly providing businesses with AI-driven insights and recommendations. Using MicroStrategy’s open-source packages for Python and R, data scientists can use DataRobot to automatically train, optimize, and deploy trusted machine learning models enterprise-wide. Using AI-driven insights, data scientists can quickly solve multiple complex business problems across their organization.

Users can leverage their existing data resources and get fast access to insights, enabling them to receive recommendations on the tools and apps they use every day. These AI-based insights can be implemented in multiple industries, including financial services, insurance, manufacturing, healthcare, and government, among others. Armed with this intelligence, data-driven employees are empowered to deliver greater efficiency on the job without having to wait weeks or months for data-based analysis.

Unlock the Transformative Power of AI

DataRobot and Palantir solutions apply AI seamlessly across the enterprise to support their business decisions and solve complex challenges. DataRobot’s AI platform, layered seamlessly on top of Palantir’s Foundry platform, provides robust, flexible AI solutions to customers. 

The DataRobot and Palantir framework ( above) allows customers to create, test, and deploy AI models into production based on a single source of consolidated data. Both technical and non-technical users can easily use the AI tool to model, forecast, and monitor their AI models across the enterprise. 

PLAN-iT Partners provides enterprise advanced analytics services from defining features to designing automated machine learning platforms and developing predictive analytics systems. We are skilled experts and data scientists with development and consulting experience of more than 10 years. Our data scientists with years of experience in global consulting firms provide management consulting services to enhance BI/DW/OLAP/Analytics project performance and achievement. In addition, we have authoritative data expertise to provide total data related solutions.

Qlik Sense brings together all of your data, and DataRobot empowers highly capable business analytics professionals to quickly build and deploy very accurate machine learning models without writing a single line of code.

The Qlik and DataRobot two-way integration enables organizations to deploy predictions in a fully interactive experience. Once a predictive model has been created and deployed in DataRobot, making predictions against the new data being generated each day is critical. Through a seamless request in a Qlik Sense application refresh, the new predictions are associated in your data model to drive insight. All of this is possible using the Qlik2DataRobot client and server-side extensions, which leverage the unique integration capabilities of the patented Qlik associative engine. Enterprises of all sizes can now get to predictive insight in less time with Qlik and DataRobot.

Snowflake and DataRobot together offer an end-to-end AI experience that accelerates time to value by reducing complexity and removing the delay between data and AI insights.

Snowflake’s Cloud Data Platform breaks down data silos, allowing users to work with any and all of their data, without limits on scale, performance or flexibility, and grants instant access to 3rd party data via the Snowflake Data Marketplace. DataRobot takes advantage of this seamless access to organized and documented data to massively accelerate the model development life-cycle, enabling the creation of trusted and scalable models across the business, ultimately driving a significant competitive advantage.

Explore your data, solve complex problems, and generate automated insights with automated machine learning. DataRobot lets you focus on what matters most, find valuable hidden patterns, and easily apply AI to solve complex problems smarter and faster than ever before.

DataRobot empowers capable business analytics professionals to easily build and deploy highly accurate machine learning models without writing a single line of code. Enterprises of all sizes can now get to predictive insight in less time with the DataRobot Insights extension for Tableau, taking their business intelligence (BI) efforts to the next level.

Once a model has been built in DataRobot, with just a few mouse-clicks, Tableau analysts can slice, dice, maximize, and democratize the value of machine learning into actionable, intelligent dashboards. The results from DataRobot machine learning models, providing deeper analysis and predictions for better decision-making.

With DataRobot extensions, Tableau users can experiment, simulate and compare different scenarios using governed DataRobot models to identify the best strategy or test ideas before committing resources. Now you can easily use AI to efficiently focus on the right data to analyze, get predictive insights with explanations in your dashboards, and run simulations to get actionable prescriptive guidance on what to do next. Visit the Tableau Extension Gallery to get the extensions, DataRobot Insights and DataRobot What-If.

Our mission is to enable analytics at “human scale” and put search-driven analytics in the hands of 20M users by 2020. It’s an ambitious goal, but we love solving hard problems with humility and empathy. ThoughtSpot makes it easy for anyone to get answers from their company data in seconds. Simply search to analyze your data and get automated insights with a single click.

Modernize your analytics workflow using self-service data wrangling and automated machine learning to build accurate predictive models and gain deeper insights.

Trifacta and Datarobot enable organizations to scale their data wrangling and machine learning processes by making them more intuitive and efficient. This partnership dramatically accelerates the delivery of predictive analytics initiatives while creating a cost-effective data science process that is inclusive of all business stakeholders, not just data scientists.

This enables enterprises to execute machine learning on a broader array of data much faster than previously possible.

By leveraging Trifacta and DataRobot as part of an integrated modern analytics platform, organizations can remove the bottleneck of data wrangling in executing machine learning at scale across their business.

Trifacta and DataRobot enables data scientists and business analysts with a modern, integrated, self-service analytics platform:

• Prepare and wrangle data at scale
• Accelerate the delivery of predictive analytics initiatives
• Execute machine learning on a broader array of data much faster

Accelerate the path to AI by automating increasingly complex tasks and go beyond human capabilities.

There are huge possibilities in the synergy between Robotic Process Automation (RPA) and Machine Learning (ML) – providing intelligence to automated processes that can evolve and improve as more data gets examined and trained. This allows for ever-improving processes. The convergence of RPA and ML will over time enable RPA to automate increasingly more complex tasks and eventually automate beyond human capabilities.

The combination of UiPath and DataRobot unlocks AI-Driven Process Automation, an emerging suite of business improvements that assist the knowledge worker by automating repetitive tasks and freeing you up to focus on creative and challenging problems. By infusing machine learning into rules-based processes, AI-Driven Process Automation can mimic the actions of humans which leads to increased worker performance, reduction of operational risks, and improved response times and customer journey experiences.