DataRobot is proud to support the EU AI Act. We believe in the advancement of safe, secure and responsible AI. 

Every organization now faces the challenge of navigating and implementing a complex landscape of AI regulations to remain compliant. With hundreds of customers deploying and managing AI in production, we understand what it takes to govern AI safely and at scale.

DataRobot delivers best-in-class AI governance and observability, empowering organizations to maintain full visibility and oversight, mitigate risk and ensure regulatory compliance with confidence.

Here are key themes of the EU AI Act and how the DataRobot AI Platform can help your organization anticipate and accelerate compliance with the new requirements:

Risk management and comprehensive compliance

The EU AI Act categorizes AI systems into four risk levels: unacceptable, high, limited, and minimal or no risk. It mandates regular updates, real-world testing, and consideration of impacts on vulnerable groups. The AI Act also integrates with sector-specific risk management processes to ensure high-risk AI systems are safe, reliable and compliant. 

With the DataRobot AI Platform, organizations have visibility across every AI project in development, testing and production, providing a clear system of record across cloud and hybrid environments.

Monitoring, technical documentation and human oversight

Among other monitoring requirements enforced in the EU AI Act, organizations must implement proportionate post-deployment monitoring to evaluate continuous compliance of the AI system by collecting and analyzing performance data. This involves active collection, documentation, and analysis of data on performance – including interactions with other AI systems – while excluding sensitive data from law enforcement deployers. 

The DataRobot AI Platform is built to meet these requirements with advanced governance and AI monitoring capabilities. 

Our human-in-the-loop approach ensures that human oversight is maintained throughout the AI lifecycle, with intuitive interfaces and dashboards that allow stakeholders to review, understand, and manage AI systems effectively.

DataRobot also provides compliance documentation tools and professional services, such as enablement sessions and AI accelerators, to deliver complete AI oversight, enable rapid incident response, and foster cross-team collaboration.

Robust, secure and high-quality data management framework

The EU AI Act calls for the use of high-quality data sets, with a focus on robustness, accuracy and cybersecurity. 

The DataRobot AI Platform gives customers access to quality management systems and comprehensive logging capabilities, enabling organizations to maintain detailed records and remain accountable and fully transparent. 

Learn more

DataRobot is designed to help organizations manage risk, with the visibility, agility and flexibility to govern AI at scale and to meet current and evolving regulatory requirements. 

To better understand the EU AI Act and how DataRobot can support your organization, visit https://www.datarobot.com/navigating-ai-regulations-with-datarobot/.

About DataRobot 

DataRobot is the leader in value-driven AI, empowering organizations to accelerate AI from idea to impact. With over a decade at the forefront of AI innovation, we know what it takes to make a real difference – to your bottom line, to your business vision, and to the world around us. Our open, end-to-end AI lifecycle platform allows your organization to quickly build, securely operate, and confidently govern your entire AI landscape from a single, unified experience. Organizations across industries and geographies trust DataRobot to help solve their biggest challenges with AI, leveraging generative and predictive capabilities today while providing the flexibility to adapt to the innovations of tomorrow. Learn more at datarobot.com and connect with us on LinkedIn (@DataRobot).

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FEBRUARY 13, 2024 – BOSTON, MA – Today, DataRobot announced it joined a new Department of Commerce initiative to support the development and deployment of trustworthy and safe AI. Established by the Department of Commerce’s National Institute of Standards and Technology (NIST), the U.S. AI Safety Institute Consortium (AISIC) will bring together leading AI stakeholders including creators and users, academics, government and industry researchers, and civil society organizations to meet this mission.

Leading the forefront of AI innovation for more than a decade, DataRobot has pioneered some of the most important applied technological advancements in AI and ML, with a focus on innovation that delivers real-world value for organizations across industries and users of all skill sets with enterprise-grade governance, safety and reliability. 

“The AISIC represents a beacon of progress to set forth a comprehensive framework and practical approach to ensure AI safety and integrity,” said Haniyeh Mahmoudian, Global AI Ethicist, DataRobot. “Our engagement in the Consortium underscores our unwavering commitment to these principles at DataRobot, and we are proud to work with our partners in government, industry, academia and civil society to support the continued development of safe and trustworthy AI.”

“The U.S. government has a significant role to play in setting the standards and developing the tools we need to mitigate the risks and harness the immense potential of artificial intelligence. President Biden directed us to pull every lever to accomplish two key goals: set safety standards and protect our innovation ecosystem. That’s precisely what the U.S. AI Safety Institute Consortium is set up to help us do,” said Gina Raimondo, U.S. Secretary of Commerce. “Through President Biden’s landmark Executive Order, we will ensure America is at the front of the pack – and by working with this group of leaders from industry, civil society, and academia, together we can confront these challenges to develop the measurements and standards we need to maintain America’s competitive edge and develop AI responsibly.”

To learn more about the U.S. AI Safety Institute Consortium, visit here.

About DataRobot:DataRobot is the Value-Driven AI company, empowering organizations to accelerate AI from idea to impact. With over a decade at the forefront of AI innovation, we know what it takes to make a real difference – to your bottom line, to your business vision, and to the world around us. Our open, end-to-end AI lifecycle platform allows your organization to quickly build, securely operate, and confidently govern your entire AI landscape from a single, unified experience. Organizations across industries and geographies trust DataRobot to help solve their biggest challenges with AI, leveraging generative and predictive capabilities today while providing the flexibility to adapt to the innovations of tomorrow. Learn more at datarobot.com and connect with us on LinkedIn (@DataRobot).

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New service offering delivers a value-driven generative AI playbook with technical training, roadmapping workshops and execution support 

JANUARY 24, 2024 — BOSTON — DataRobot, the leader in Value-Driven AI, today announced the DataRobot Generative AI Catalyst Program, designed to address the generative AI skills gap with a holistic offering to jumpstart and accelerate the delivery of high-impact generative AI use cases. The new program provides organizations with critical tools and support to develop a cross-functional generative AI strategy, drive critical use cases into production, and build lasting capabilities to scale independently and operate with confidence.

As organizations across industries look to implement generative AI, many currently lack the tactical execution skills and the knowledge required to successfully bring use cases to production. A recent IDC White Paper, sponsored by Microsoft, The Business Opportunity of AI, found that 52% of organizations surveyed reported the lack of skilled workers is a barrier to implementing AI, making it the biggest barrier cited.¹ 

The DataRobot Generative AI Catalyst Program is a complete playbook for building, implementing and scaling value-driven generative AI, including: 

• Custom Roadmaps for High-impact Use Cases: Targeted workshops facilitated by DataRobot generative AI experts to identify high-impact opportunity areas, quantify benefits, identify risks and develop a prioritized roadmap to implement solutions in production. 
• Accelerated Delivery of Generative AI and RAG Solutions: Partnership and support to rapidly prototype and deploy high-priority use cases, aligned with the right LLM or implementation approach, with access to the world-class DataRobot AI Platform and latest generative AI capabilities.    
• Production and Custom Performance Monitoring Design Patterns: Dedicated deployment support and templates to help teams create scalable operating models, streamline integrations, establish governance frameworks, and mitigate security and reputational risk.
• Advanced Technical Training: Sharpen skills for AI builders and experts with best-in-class design practices – including LLM evaluation methods, ideal prompting strategies and fine-tuning – and advanced techniques for mitigating off-brand responses through hands-on labs, hackathons and exposure to the latest trends in generative AI.
• Risk, Compliance and Ethics Frameworks: Learn from DataRobot experts to understand and mitigate risk, compliance, and ethics concerns and build enterprise-grade frameworks to operate more securely and confidently. 
• Generative AI Literacy: Upskill your entire organization — from business users to executives — with educational resources curated to better understand, identify and apply the value of generative AI across the business.

“With over ten years of experience at the forefront of AI innovation and with more than 500 customers operating AI initiatives in production, we know what it takes to deliver AI with real-world value,” said Jay Schuren, Chief Customer Officer, DataRobot. “The DataRobot Generative AI Catalyst Program is designed to break through generative AI barriers by providing the technology, tools and expertise to not only jumpstart AI initiatives, but to build an enduring AI-driven culture, mitigate risk and increase confidence across your organization.”

To learn more and get started today with the DataRobot Generative AI Catalyst Program, visit https://www.datarobot.com/generative-ai-catalyst/.

¹ IDC  #US51315823, November 2023

About DataRobot

DataRobot is the Value-Driven AI company, empowering organizations to accelerate AI from idea to impact. With over a decade at the forefront of AI innovation, we know what it takes to make a real difference – to your bottom line, to your business vision, and to the world around us. Our open, end-to-end AI lifecycle platform allows your organization to quickly build, securely operate, and confidently govern your entire AI landscape from a single, unified experience. Organizations across industries and geographies trust DataRobot to help solve their biggest challenges with AI, leveraging generative and predictive capabilities today while providing the flexibility to adapt to the innovations of tomorrow. Learn more at datarobot.com and connect with us on LinkedIn (@DataRobot).

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November 29, 2023 — BOSTON, MA — DataRobot today announced it has been recognized as a Leader in the first IDC MarketScape: Worldwide AI Governance Platforms 2023 Vendor Assessment.

AI governance platforms that ensure end-to-end AI/ML lifecycle governance, collaborative risk management and regulatory excellence for AI can be a “game changer” for organizations. The new IDC MarketScape report provides a holistic perspective on the market, reviewing several factors across strategy and functionality.

As a Leader, DataRobot is recognized for its strengths including extensive experience in regulated industries and continuous innovation. According to the report, “DataRobot’s approach to governance is comprehensive, focused on verifying and managing AI assets throughout the creation, integration, and observability stages.”

“A Leader like DataRobot sets the bar for AI at a time when both expertise in governance and rapid innovation is paramount – particularly for organizations with the most stringent regulatory requirements like banking and healthcare,” said Ritu Jyoti, Group Vice President, Worldwide Artificial Intelligence and Automation Research Practice, IDC. “DataRobot understands the unique challenges and requirements businesses face today, with an AI platform designed to avoid silos and vendor lock-in, and the tools that help customers accelerate AI deployments and ROI.”

“Empowering customers with the ability to govern with full transparency, operate with control, and build AI solutions with speed and optionality is critical when it comes to closing the confidence gap with generative AI — and as the need for such features only continues to grow,” said Venky Veeraraghavan, Chief Product Officer, DataRobot. “We’re honored to be recognized by the IDC MarketScape as a Leader in the inaugural Worldwide AI Governance Platforms 2023 Vendor Assessment, and we’ll continue innovating to enable our customers to confidently govern AI at scale.”

DataRobot customers include industry leaders such as CVS Health, Freddie Mac, Aflac, Warner Bros., BMW and the U.S. Army. The DataRobot AI Platform empowers organizations across industries to deliver real-world value from AI solutions, streamlining how you build, govern and operate generative and predictive AI. 

The Worldwide AI Governance 2023 Platforms Vendor assessment evaluated 10 businesses across 10 categories aligned to strategy and capability factors including functionality, growth, innovation and customer satisfaction. IDC analysts base vendor scores and positions on detailed surveys and interviews with the vendors, publicly available information and end-user experiences.

To read the report excerpt and to learn more about our governance capabilities, visit http://www.datarobot.com/resources/idc-marketscape-worldwide-ai-governance-platforms-2023/.

[IDC MarketScape: Worldwide AI Governance Platforms 2023 Vendor Assessment, Doc #US50056923, November 2023]

About DataRobot 

DataRobot is the Value-Driven AI company, empowering organizations to drive real-world value with AI. With over a decade at the forefront of AI innovation, we know what it takes to make a real difference – to your bottom line, to your business vision, and to the world around us. Our open, end-to-end AI lifecycle platform allows your organization to quickly build, securely operate, and confidently govern your entire AI landscape from a single, unified experience. Organizations across industries and geographies trust DataRobot to help solve their biggest challenges with AI, leveraging generative and predictive capabilities today while providing the flexibility to adapt to the innovations of tomorrow. Learn more at datarobot.com and connect with us on LinkedIn (@DataRobot).

About IDC MarketScape

IDC MarketScape vendor assessment model is designed to provide an overview of the competitive fitness of ICT (information and communications technology) suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each vendor’s position within a given market. IDC MarketScape provides a clear framework in which the product and service offerings, capabilities and strategies, and current and future market success factors of IT and telecommunications vendors can be meaningfully compared. The framework also provides technology buyers with a 360-degree assessment of the strengths and weaknesses of current and prospective vendors.

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NOVEMBER 9, 2023 — BOSTON — DataRobot, the leader in Value-Driven AI, today announced new end-to-end functionality designed to close the generative AI confidence gap, accelerating AI solutions from prototype to production and driving real-world value. Enhancements to the DataRobot AI Platform empower organizations to operate with correctness and control, govern with full transparency, and build with speed and optionality. 

“The demands around generative AI are broad, complex and evolving in real-time,” said Venky Veeraraghavan, Chief Product Officer, DataRobot. “With over 500 of our customers deploying and managing AI in production, we understand what it takes to build, govern, and operate your AI safely and at scale. With this latest launch, we’ve designed a suite of production-ready capabilities to address the challenges unique to generative AI and instill the confidence required to bring transformative solutions into practice.”

New functionality announced today brings enterprise-grade governance and observability for both generative and predictive AI in the DataRobot AI Platform: 

• 360° Observability Console: New full-360° view observability for DataRobot and third-party models across cloud providers, on-premises, or at the edge. The console acts as a command and control center with comprehensive insights into the performance, behavior, and health of AI systems and models, allowing for immediate detection of issues or anomalies.
  
• LLM Cost and Performance Monitoring: Out-of-the-box monitoring to observe and manage your generative AI solutions and costs in real-time with customizable metrics designed for both high performance and on-target budgets. Now you can see cost per prediction and total spend by generative AI solution, set your own alerts to avoid exceeding thresholds, and make cost-performance tradeoff decisions.
  
• Generative AI Guard Models: Assess critical attributes like toxicity, sentiment, PII leaks, prompt injection, and correctness for generative AI models in production, as well as capture user feedback on the quality of generated responses to improve models over time.
  
• Unified AI Registry: A single system of record to govern all of your generative and predictive AI assets, including models from different systems. The new centralized Registry helps you track what matters while unifying disparate projects, processes, and multi-cloud environments for seamless cross-team visibility and collaboration across your organization.
  
• Multi-Provider LLM Playground: First-of-its-kind visual interface with built-in access to GCP Vertex AI, Azure OpenAI and AWS BedRock to easily compare and experiment different recipes with any combination of foundation model, vector databases, and prompting strategies.
  
• Generative AI Accelerators. New accelerators designed to quickly accomplish common tasks for accelerating generative AI deployment, such as building and hosting a Retrieval Augmented Generation (RAG) application, adding custom metrics, monitoring external models, and integrating with business applications like Slack and Microsoft Teams.

“DataRobot has been instrumental as we work through our generative and predictive AI use cases,” said Fred De Letter, Senior Director of Business Insights and Analytics, Keller Williams. “With DataRobot’s LLM Operations (LLMOps) capabilities and out-of-the-box LLM performance monitoring, we’re equipped to implement cutting-edge generative AI techniques into our business while monitoring for toxicity, truthfulness and cost.” 

“AI is set to shape our future in many different ways, and it has enormous potential to be a powerful force for good,” said Craig Civil, Director of Data Science and Artificial Intelligence, The British Standards Institution (BSI). “In BSI’s research, we have seen evidence of a confidence gap, with people lacking understanding and trust in AI. Ensuring confidence in AI systems is key to society realizing AI’s transformational benefits, which is why we’ve partnered with DataRobot for our generative AI journey.”

“DataRobot has long been recognized for simplifying the complexities presented by AI and data science. Our research shows that organizations need flexibility to use their preferred LLMs and infrastructure through an open, tightly-integrated ecosystem,” said Mike Leone Principal Analyst at Enterprise Strategy Group. “By bringing together predictive and generative AI in a single end-to-end AI lifecycle platform with governance and cost transparency, DataRobot is delivering real value to its customers as they look to scale AI projects.”

To use and explore the capabilities unveiled today, sign up for a free trial at datarobot.com/trial. To learn more about the DataRobot AI Platform and the latest release, visit datarobot.com. 

About DataRobot

DataRobot is the Value-Driven AI company, empowering organizations to accelerate AI from idea to impact. With over a decade at the forefront of AI innovation, we know what it takes to make a real difference – to your bottom line, to your business vision, and to the world around us. Our open, end-to-end AI lifecycle platform allows your organization to quickly build, securely operate, and confidently govern your entire AI landscape from a single, unified experience. Organizations across industries and geographies trust DataRobot to help solve their biggest challenges with AI, leveraging generative and predictive capabilities today while providing the flexibility to adapt to the innovations of tomorrow. Learn more at datarobot.com and connect with us on LinkedIn (@DataRobot).

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November 7, 2023 — BOSTON — DataRobot, the leader in Value-Driven AI, today signed an expansion agreement with Japanese internet financial services leader SBI Holdings, Inc (TYO: 8473) to drive greater overall efficiency and value with generative AI. The expanded partnership will focus on delivering the DataRobot generative AI offering for the core operations of SBI Holdings and scaling across hundreds of its subsidiary companies in Japan.

Yoshitaka Kitao, Representative Director, Chairman, President & CEO of SBI Holdings, Inc. said,  “DataRobot is the leading technology company and platform innovator that brings predictive and generative AI capabilities together with the governance, observability, and security we need at scale.”

Since 2020, SBI Group has accelerated the expansion of AI through a strategic framework across the entire organization through its partnership with DataRobot. Building on a May 2023 agreement to deploy DataRobot’s single-tenant SaaS platform, the expansion announced today allows for secure distribution of generative AI solutions across subsidiary companies in the financial services sector. Initial generative AI use cases include deploying chatbots that query financial products, exploration and summarization of legal documents, and automatic creation of call center conversation records with the goal of deploying hundreds of revenue-generating applications within three years.  

“SBI Holdings’ global vision for this new era of generative AI makes them an invaluable partner and pioneer in the financial services industry.” said Jay Schuren, Chief Customer Officer, DataRobot. “This expansion will deliver the next wave of enterprise-grade generative AI innovation from DataRobot to both Japan and the market more broadly. I look forward to all we will accomplish in this next chapter of our partnership.”

Launched in July 2023, DataRobot’s generative AI offering uniquely brings both generative and predictive AI capabilities together in the DataRobot AI Platform, delivering an open and end-to-end experience to build, govern, and operate AI. Designed to unify your entire AI landscape and workflows, it fuels the delivery of real-world value from your AI initiatives, while giving you the flexibility to evolve and the control to scale with confidence. 

To learn more about the DataRobot generative AI offering, visit https://www.datarobot.com/platform/generative-ai.

About DataRobot 

DataRobot is the Value-Driven AI company, empowering organizations to accelerate AI from idea to impact. With over a decade at the forefront of AI innovation, we know what it takes to make a real difference – to your bottom line, to your business vision, and to the world around us. Our open, end-to-end AI lifecycle platform allows your organization to quickly build, securely operate, and confidently govern your entire AI landscape from a single, unified experience. Organizations across industries and geographies trust DataRobot to help solve their biggest challenges with AI, leveraging generative and predictive capabilities today while providing the flexibility to adapt to the innovations of tomorrow. Learn more at datarobot.com and connect with us on LinkedIn (@DataRobot). 

About SBI Holdings

Established in 1999 as a pioneer of Internet-based financial services in Japan, SBI Holdings, Inc is a comprehensive Internet financial group that operates globally, encompassing five core businesses: “Financial Services Business,” such as securities, banking and insurance businesses; “Investment Business,” which is engaged in private equity investment including venture capital investment; “Asset Management Business,” that provides various asset management related services; “Crypto-asset Business,” which operates crypto asset trading and exchange services; and “Non-financial Business,” which includes business activities related to biotechnology, healthcare and medical informatics, Web3, and new overseas markets. 

Please refer to the group’s homepage for more details.

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August 24, 2023 – BOSTON – DataRobot today announced a new initiative with Google Cloud to accelerate the adoption of AI across industries, including new generative AI-powered applications for the healthcare industry. This partnership combines the value-driven AI platform and applied expertise from DataRobot with the scalable infrastructure and services from Google Cloud, helping organizations to confidently and safely use generative AI solutions to improve real-world business operations.

DataRobot’s newly-launched generative AI offering uniquely brings both generative and predictive AI capabilities together in the DataRobot AI Platform, delivering an open, flexible, end-to-end platform for customers to experiment, build, deploy and monitor enterprise-grade AI solutions. The DataRobot AI Platform accelerates generative AI initiatives from concept to value in a multi-cloud environment by providing critical capabilities, including the extension of large language models (LLMs) with use case specific knowledge bases, production-ready blueprints for accelerated development of AI solutions, and comprehensive monitoring with customized guardrails for governance and compliance. 

As part of the collaboration, DataRobot will introduce new industry-specific generative AI solutions, beginning with a healthcare solution that leverages Vertex AI to help clinicians improve hospital operations and patient care. For example, the solution can improve the efficiency of the medical triage processes  by supporting a clinician in determining whether a patient needs urgent or non-urgent care, along with a suggested timeframe for being seen. Healthcare organizations will retain full control of their data through the new solution.

“Through this new initiative with Google Cloud, we are opening up new avenues with generative AI, empowering customers with the confidence and security to implement generative AI solutions and maximize their Google investments,” stated Ksenia Chumachenko, Vice President of Alliances and Business Development at DataRobot. “With Google Cloud’s service integrations and advanced LLM capabilities and DataRobot’s fully-featured AI platform and applied AI expertise, our collaboration brings immediate, tangible value to businesses globally.”

“Generative AI has the potential to transform processes across a number of industries, helping organizations get more contextual, predictive insights from data to enhance decision-making,” said Ritika Suri, Director of Technology Partners at Google Cloud. “The combination of DataRobot’s platform and Google Cloud’s scalable infrastructure and technology, including generative AI, can help clinicians better understand and make decisions with data.” 

Additional enhancements include:

• Availability of DataRobot generative AI solutions on Google Cloud for customers to leverage insights and predictions from foundation models through Google Cloud’s Vertex AI to build new AI applications and confidently monitor all AI assets with DataRobot.
• New BigQuery Integration lets users review results in real-time to locate and utilize the data they need to power their AI projects. The new integration will apply BigQuery pushdown to assist customers with data preparation and transformation utilizing its enterprise-grade scalability, security and governance features.
• Containerization allows customers to run DataRobot on Google Kubernetes Engine (GKE), harnessing the power of the standard Kubernetes toolchain for efficient AI model deployment. 

DataRobot is committed to working with Google Cloud to help organizations rapidly develop and deploy AI applications and solutions, which will accelerate time-to-value from investments in a safe, secure manner. To learn more about DataRobot and Google Cloud’s partnership, visit https://www.datarobot.com/google, and register to join us at Google Next ‘23.

About DataRobot 

DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to generative and predictive AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI. Learn more at datarobot.com and follow us on LinkedIn and X (@DataRobot).

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August 10, 2023 — BOSTON — DataRobot, the leader in Value-Driven AI, today announced a new generative AI offering, including platform capabilities and applied AI services, to accelerate the path from concept to value with generative AI. This offering uniquely brings both generative and predictive AI capabilities together in the DataRobot AI Platform, delivering an open and end-to-end solution for you to experiment, build, deploy, monitor and moderate enterprise-grade AI applications and assistants, and drive impact for your business.

“We’ve talked to hundreds of customers looking to adopt generative AI who have concerns about existing tools on the market, including security and reputational risks, vendor lock-in and mounting technical debt from piecemeal solutions,” said Jay Schuren, Chief Customer Officer, DataRobot. “With over a decade at the forefront of AI innovation, we understand what it takes to deliver AI successfully and safely. Our new offering gives your teams everything they need to experiment quickly, deploy in production, monitor to ensure quality and ultimately get value from your generative AI projects.” 

The new offering builds on the DataRobot AI Platform to accelerate your generative AI initiatives by unifying best-in-class components and providing critical capabilities in an open and multi-cloud environment, including:

• Generative AI Models Extended for the Enterprise: Seamlessly integrate large language models (LLMs), vector databases and prompting strategies with your enterprise data directly within DataRobot hosted notebooks. With a code-first experience and pre-built assistant recipes, you can rapidly develop customized solutions that meet your unique needs.

• Enterprise-Grade Generative AI Observability: Gain confidence operating all of your generative and predictive AI assets with advanced monitoring, management and governance. Measure what matters, from operational and data drift metrics to generative AI-specific metrics like toxicity and truthfulness, and ensure applications stay “on-topic” using use case-specific guardrails.

• Easy-to-Build Generative AI Applications: Quickly prototype, build and deploy end-to-end applications and assistants to deliver a complete generative AI powered experience to business stakeholders and end users with just a few lines of code, using a DataRobot-hosted Streamlit application sandbox.

DataRobot is also introducing new generative AI services focused on end-to-end implementation of custom use cases as well as dedicated programming to upskill your workforce, designed and delivered by our applied AI experts:

• Generative AI Training & Enablement for executives and practitioners, enabling leaders to quickly establish the level of generative AI proficiency that is necessary to remain competitive in today’s market.

• Generative AI Ideation & Roadmapping Workshops for teams to go from use case ideation to implementation by systematically identifying and prioritizing high-value opportunities, and aligning leaders, data teams and stakeholders.

• Generative AI Trust & Compliance Framework to support responsible generative AI governance processes and better prepare your business to meet existing guidelines and anticipate pending regulations.

DataRobot supports customers from all industries to solve real-world business problems with generative and predictive AI. “The generative AI space is changing quickly, and the flexibility, safety and security of DataRobot helps us stay on the cutting edge with a HIPAA-compliant environment we trust to uphold critical health data protection standards,” said Rosalia Tungaraza, AVP, Artificial Intelligence, Baptist Health South Florida. “We’re harnessing innovation for real-world applications, giving us the ability to transform patient care and improve operations and efficiency with confidence.”

Connecting Ford Motor Company with over 3,800 Ford and Lincoln dealerships across the U.S. and Canada, FordDirect leverages the DataRobot AI Platform to better engage and anticipate customer needs. “DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively,” said Tom Thomas, Vice President of Data Strategy, Analytics & Business Intelligence, FordDirect.

“We are on the cusp of a major transition. Global organizations are excited about the possibilities to transform their businesses with generative AI while at the same time faced with risks ranging from hallucinations and toxicity, to governance and bias,” said Ritu Jyoti, Group Vice President, Worldwide Artificial Intelligence and Automation Research Practice Global AI Research Lead at IDC. “That’s why AI platforms like DataRobot are critical in unlocking business value with generative AI and predictive AI alongside robust monitoring, governance, and a broad ecosystem. They create a competitive edge for enterprises.”

To learn more about our generative AI offering announced today, visit https://www.datarobot.com/platform/generative-ai.

About DataRobot 

DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to generative and predictive AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI. Learn more at datarobot.com and follow us on LinkedIn and X (@DataRobot).

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LAS VEGAS, June 27, 2023 — DataRobot today announced at Snowflake’s annual user conference, Snowflake Summit 2023, an expansion of the DataRobot and Snowflake integration, enabling organizations to build, deploy and scale AI models on Snowflake, maximizing their existing Snowflake investments. 

“The DataRobot AI Platform and the Snowflake Data Cloud are a powerful combination,” said Venky Veeraraghavan, Chief Product Officer at DataRobot. “Our integration with Snowflake for data preparation, model deployment, and monitoring brings the power of machine learning to where data resides, delivering an end-to-end enterprise-grade AI experience.”

DataRobot is joining Snowflake in mobilizing the world’s data to help organizations accelerate their AI lifecycles. New capabilities include:

• Data Preparation with Pushdown and Wrangler Enhancement: Prepare high-quality machine learning data while leveraging the scale and governance of the Snowflake Data Cloud. The freedom to try complex and novel scenarios in a ‘recipe draft mode’ reduces the time spent moving and processing data back-and-forth.
• DataRobot Notebooks with Snowpark: Code in your language of choice with fully managed and hosted DataRobot Notebooks, featuring Generative AI-based code generation, while pushing data processing to Snowflake using Snowpark.
• Snowflake Deploy with Snowpark: Deploy DataRobot models directly into Snowflake with a single click and generate secure predictions on sensitive data with in-database inference.
• Snowflake Monitoring: Monitor models deployed in Snowflake for drift, accuracy, or custom metrics with the ability to easily replace models after retraining.
• Snowflake Materialization: Simplify the AI lifecycle without sacrificing governance by materializing training datasets in Snowflake and eliminating data migration and duplication.
• AI Accelerators for Snowflake: Rapidly develop and deploy models with either low-code modular blocks and templates or a code-first approach. Both methods seamlessly integrate with Snowflake, allowing users to jumpstart AI projects and deliver game-changing results quickly.

“The launch of these integrations illustrates DataRobot’s commitment to helping customers mobilize the world’s data on Snowflake,” said Tarik Dwiek, Head of Technology Alliances at Snowflake. “We look forward to driving deeper value for our joint customers by enabling them to quickly iterate, improve models and complete the ML lifecycle without repeated configuration, all while leveraging the security, scale, and performance of the Data Cloud.”

“The DataRobot-Snowflake native integration is so seamless that I don’t even have to think about it,” said Luke Bunge, Data Science Product Manager at Polaris. “We can train models faster and do it with more confidence that we’re following appropriate steps to get to a ML solution that’s going to deliver value. As Polaris continues to grow, we’re really excited to have DataRobot and Snowflake be a central part of that growth.”

“The seamless integration experience between DataRobot and Snowflake means customers can get more value from their data and better identify data signals,” said Tim Crawford, CIO Strategic Advisor at AVOA. “As DataRobot continues to grow its broad enterprise ecosystem, we’re excited to see their generative AI capabilities expand as well.”

To become a Snowflake partner and get access to Snowflake’s self-service partner resources, please click here. Be sure to check out the Snowflake Summit 2023 keynotes live or on-demand here and stay on top of the latest news and announcements from Snowflake on LinkedIn and Twitter.

For additional information on the DataRobot AI Platform news unveiled today, explore more details here.

About DataRobot

DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI. Learn more at datarobot.com and follow us on LinkedIn and Twitter.

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The post DataRobot Launches New Integrations with Snowflake Data Cloud appeared first on DataRobot AI Platform.

May 23, 2023 — BOSTON — DataRobot, the leader in Value-Driven AI, announced a partnership with Microsoft to accelerate AI adoption in the enterprise. The collaboration will include integrations with Microsoft Azure OpenAI Service, Azure Machine Learning, and Azure Kubernetes Service (AKS), making it possible for data scientists to use large language models (LLMs) to assist with writing code. This will enable DataRobot and Microsoft customers to more easily build, deploy, and manage end-to-end enterprise-ready AI solutions on Microsoft Azure.

“The integration of DataRobot with Microsoft’s generative AI and ML services delivers customers breakthrough innovation and experiences for machine learning experimentation and production work built on Azure’s differentiated and scalable platform,” said Venky Veeraraghavan, Chief Product Officer at DataRobot. “Generative AI will drastically modernize the development, interpretation, and adoption of AI use cases, and we’re thrilled to be incorporating Azure OpenAI Service deeply into our product experience for our customers to derive even greater value from their AI investments.”

Azure OpenAI Service’s models can now be used directly inside DataRobot, making it easier to build models using code and no-code methods, and deploy and govern them with Azure Machine Learning. This new, seamless experience is one of the first steps in how DataRobot uses LLMs to help accelerate adoption of generative AI for businesses of all sizes. 

“The need for seamless, strategic partnerships when it comes to delivering critical customer needs and generating tangible business outcomes has perhaps never been more important than it is today in the current AI landscape,” said Eric Boyd, Corporate Vice President, AI Platform at Microsoft. “We’re thrilled to announce our partnership with DataRobot, a company built for breaking down complex AI problems, and further cement our commitment to meet customers where they are as we help businesses accelerate their AI journey and achieve bottom-line goals.”

New integrations will improve the efficiency of ML practitioners and builders, enabling organizations to derive value from AI:

• Integration with Azure OpenAI Services: DataRobot Notebooks Code-Assist is now available in Preview for all customers who can use conversational prompts to generate data preparation and modeling code in Python that uses the full context of the business use case and available data.
• Integration with Azure Machine Learning: This allows users to easily deploy trained models, using scoring code, from their DataRobot registry to Azure Machine Learning managed endpoints, and monitor these deployments in DataRobot. This integration also enables automated model compliance documentation for both DataRobot and Azure Machine Learning models.
• Future-Ready AI-optimized Infrastructure: With full support for Microsoft Azure Kubernetes Service, the DataRobot AI Platform also now includes a variety of deployments such as self-managed deployments on Azure Kubernetes Service and managed single-tenant SaaS.

“Interoperability across the ecosystem coupled with generative AI is paramount to successful AI and ML deployments. Integrations like the one we see here between Microsoft and DataRobot will transform the way companies innovate, operate and work,” said Andy Thurai, VP & Principal Analyst of Constellation Research. “In recent market research, we see businesses that widely adopt AI are expected to increase their local economies’ GDP by 26% by 2030 in both revenue and savings from productivity gains. This is all thanks to the transformative power of AI.” 

“A complete AI lifecycle platform is invaluable in optimizing the effectiveness and efficiency of our growing data science team,” said Craig Civil, Director of Data Science and Artificial Intelligence at BSI. “The DataRobot AI Platform provides full flexibility to integrate within our current ecosystem, including pulling data directly from Microsoft Azure to save time and reduce risk, and providing insights through Microsoft Power BI. This flexibility drew us to DataRobot, and we look forward to leveraging the integration with Azure OpenAI to continue to drive innovation.”

For additional platform news and updates unveiled today, explore new features and capabilities in more detail here.

About DataRobot 

DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI. Learn more at datarobot.com and follow us on LinkedIn and Twitter.

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