May 31, 2024 — SINGAPORE — DataRobot, the enterprise AI platform leader, today announced the integration of LLM evaluation measures aligned with a new initiative from the Singapore Government Agency, Infocomm Media Development Authority (IMDA). The “Project Moonshot” initiative unveiled at the Singapore Asia Tech x Summit offers new capabilities that help AI practitioners and system owners manage LLM deployment risks by providing a common framework for benchmarking and red teaming evaluation.

“At DataRobot, our focus is addressing the confidence gap and helping organizations scale responsible use of generative AI,” said Jay Schuren, Chief Customer Officer, DataRobot. “We’re excited to announce that our latest product release incorporates Project Moonshot’s testing toolkit and its benchmarking and evaluation tests. The result is that LLM evaluations are more accessible and help scale the responsible use of generative AI, enabling practitioners to turn on and configure guard models to change the behavior and responses of LLMs.”

Project Moonshot delivers three core capabilities for AI practitioners and system owners:

1. Automated evaluation tools for generative AI solutions that easily integrate into CI/CD pipelines.
2. A benchmark repository allowing teams to run evaluations relevant to their applications by curating the right benchmarks.
3. A one-stop tool for AI red teaming, from jailbreaks to customized attacks.

“The development of Project Moonshot, one of the world’s first open-source tools to bring red teaming, benchmarking and baseline testing together in an easy-to-use platform, would not have been possible without the contribution of partners such as DataRobot,” said Dr. Ong Chen Hui, Chair of the Governing Committee, AI Verify Foundation. “Project Moonshot will provide developers with an intuitive toolkit to test their LLM applications. This new toolkit signals Singapore’s continued commitment to advance the global open-source efforts toward addressing generative AI safety concerns.”

“We are proud to support our portfolio company, DataRobot, on its growth journey in Southeast Asia,” said Paul Ng, Chief Executive Officer, EDBI. “The company has not only expanded its footprint in Singapore but has also fostered collaborations that benefit the local innovation ecosystem, such as this partnership with IMDA. Project Moonshot provides local enterprises with the right tools to deploy generative AI technologies confidently. As a strategic investor, we are committed to creating value for our portfolio companies while enhancing Singapore’s innovation capabilities.”

DataRobot is an IMDA accredited company and a member of the AI Verify Foundation which launched the world’s first AI Governance Testing Framework and Toolkit in 2022.

To learn more about DataRobot’s latest AI observability and intervention capabilities, read our latest product announcement or visit datarobot.com.

About DataRobot 
DataRobot is the enterprise AI platform leader, 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 end-to-end AI 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.

About IMDA
The Infocomm Media Development Authority (IMDA) leads Singapore’s digital transformation by developing a vibrant digital economy and an inclusive digital society. As Architects of Singapore’s Digital Future, we foster growth in Infocomm Technology and Media sectors in concert with progressive regulations, harnessing frontier technologies, and developing local talent and digital infrastructure ecosystems to establish Singapore as a digital metropolis. For more news and information, visit www.imda.gov.sg or follow IMDA on Facebook (IMDAsg) and Twitter (@IMDAsg).

About EDBI
Founded in 1991, EDBI is a leading Singapore-based global investor focusing on high-growth technologies across Information & Communication Technology, Emerging Technology and Healthcare sectors. With the aim of creating long-term value and enhancing capabilities of Singapore’s key industries, we partner with companies poised for expansion in Asia and beyond, leveraging our extensive network, resources, and expertise. Explore our portfolio of successful investments and discover how we can accelerate growth together, through Singapore. Learn more at www.edbi.com.  

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May 2, 2024 — BOSTON — DataRobot, the enterprise AI platform, today launched new AI observability functionality with real-time intervention for generative AI solutions, available across all environments including cloud, on-premise and hybrid. This latest release provides AI leaders and teams with the tools to confidently build enterprise-grade applications, manage risk and deliver business results.

“Lack of visibility and risk are significant obstacles to reaching real business value from AI,” said Venky Veeraraghavan, Chief Product Officer, DataRobot. “We’re revolutionizing AI observability with real-time intervention across diverse AI assets and environments, so leaders can safeguard projects, up-level oversight and empower teams.”

Today’s announcement brings AI observability for any AI asset and environment into the DataRobot AI Platform to deliver:

• Cross-Environment AI Observability: Gain full oversight across environments and reduce risk across your entire AI landscape with unified governance for all predictive and generative AI assets.
• Real-Time Generative AI Intervention and Moderation: Build a multilayered defense to safeguard AI applications with customized build, intervention and moderation workflows, leveraging a rich library of pre-built and configurable guards to ensure accuracy and prevent issues like prompt injections and toxicity, detect personally identifiable information (PII) and mitigate hallucinations.
• Generative AI Alerts and Diagnostics: Gain control and flexibility with customizable alert and notification policies, visually troubleshoot problems and traceback answers, and set robust multi-language diagnostics with insights for data quality checks, topic drift and more. 

“Today’s AI leaders are seeking to implement generative AI accurately, safely, and at scale,” said Amanda Saunders, Director, Enterprise Generative AI Product Marketing, NVIDIA. “DataRobot’s integrations with NVIDIA software provide enterprises with purpose-built generative AI solutions to speed successful deployments.”

This new release also introduces best-in-class evaluation, testing and open source LLM support capabilities:

• Enterprise-Grade Open Source LLM Hosting: Leverage any open source foundational model including LLaMa, Hugging Face, Falcon and Mistral with DataRobot’s built-in LLM security and resources, complementing recent integrations with NVIDIA NIM inference microservices and NVIDIA NeMo Guardrails software to accelerate AI deployments for enterprises.
• LLM Evaluations, Testing and Metrics: Enhance application quality, assess LLM performance and automate testing with groundbreaking out-of-the-box synthetic test data creation, evaluation metrics and quality benchmarks.
• Advanced RAG Experimentation: Evaluate different embedding methods, chunking strategies, and vector databases to assess and identify the best RAG strategy for each use case. 

”DataRobot is providing the requisite tools an enterprise needs to get started with generative AI quickly and with confidence,” said Ritu Jyoti, Group Vice President, Worldwide Artificial Intelligence and Automation Research Practice Global AI Research Lead, IDC. “AI leaders need to be prepared for a new normal where AI exists in multiple environments and locations. The work DataRobot is doing with AI observability sets the foundation for AI leaders and teams to thrive.”

This release is the latest milestone in DataRobot’s significant investment in generative AI for the enterprise. In the last 12 months, DataRobot introduced industry-first generative AI functionality, launched the DataRobot Generative AI Catalyst Program to jumpstart high-priority use cases, and announced new and expanded collaborations with global leaders like NVIDIA and Google Cloud to supercharge AI solutions with world-class performance and security.

All of the functionality announced today is available on cloud, on-premise, and hybrid environments. Learn more about the latest updates to the DataRobot AI Platform.

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 enterprise AI 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.

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Building on the previously announced DataRobot and Google Cloud partnership to accelerate generative AI solutions, customers can now take advantage of:

• LLM blueprint strategies for 150+ models in Model Garden, including Gemini models. Leverage best-in-class foundation models in DataRobot’s LLM playground to build AI applications that are optimized for any use case, while ensuring visibility and performance.
• New solution accelerators. DataRobot AI Accelerators now include Mistral 7N and Llama 2, in addition to robust support for the Vertex AI Model Garden, empowering AI builders with expansive, flexible, and industry-tailored LLMs.

DataRobot customers are already seeing results:

• Inchcape, a leading global automotive distributor, reduced model training time by 50% and achieved an 8.1% cost reduction.
• Keller Williams increased productivity by 15% with a generative AI-powered Learning Hub personalized for their more than 187,000 real estate agents globally.
• Gannett/USA Today Network confidently applies generative AI solutions with best-in-class AI guardrails and human oversight.

“Using the DataRobot AI Platform, we’ve automated many steps in the pipeline for hundreds of models,” said Arvind Thinagarajan, VP, Data Science & Analytics, Gannett/USA Today Networks. “The synergy between Google Cloud and DataRobot helps us create a comprehensive solution for developing, deploying and managing models.”

“By working with partners like DataRobot, we are excited to continue empowering organizations with the most innovative AI solutions to suit their specific enterprise needs,” said Ritika Suri, Director of Technology Partners at Google Cloud. “With Google Cloud’s robust, advanced and Gemini-powered infrastructure, and the full AI lifecycle platform DataRobot provides, we’re enabling even more users to accelerate their AI journey and drive meaningful impact in every sector of business.”

“We’re committed to meeting our customers where they are with the world-class tools they need to confidently build, operate and govern AI,” said Raj Ramanujam, SVP, Global Channel/Tech Alliances, DataRobot. “We’re excited to deepen our partnership with Google Cloud, empowering organizations to accelerate their path to AI impact and maximize their Google Cloud investments.”

Google Cloud is a member of DataRobot Partner Ecosystem, an initiative to unify the AI landscape with the most open platform for AI. DataRobot Partner Ecosystem makes it easy to leverage cutting edge AI technology, cloud infrastructure, and applications directly within the DataRobot AI Platform — and quickly integrate with existing tools — standardizing and strengthening governance across the full AI lifecycle.

Learn more about our partnership with Google Cloud.

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. 

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“Organizations across industries are eager to quickly and safely deliver on AI investments with tangible, real-world value,” said Venky Veeraraghavan, Chief Product Officer, DataRobot. “Combining DataRobot’s full AI lifecycle platform and NVIDIA’s accelerated AI computing software stack and unique optimization technology, this collaboration brings together cutting-edge capabilities to enable organizations to rapidly build, confidently operate and govern AI solutions at scale to drive transformative business impact.”

This new collaboration with NVIDIA accelerates AI use case delivery. Customers can now:

Operate AI

• Deploy fully-configured generative AI models with NVIDIA NIM microservices, included with NVIDIA AI Enterprise, which are designed to accelerate the deployment of generative AI across the cloud, data center and workstations. Achieve peak performance, security and scalability with pre-built model container microservices in the DataRobot AI Platform, optimized for execution on top of NVIDIA devices. Accelerate deployment, replacement and monitoring of deep learning and LLM models on any cloud or on premises, bringing GPU-powered infrastructure to the environment that fits business needs.
• Integrate and run commercial and open-source LLMs natively on NVIDIA Triton Inference Server. Maintain full optionality while optimizing performance of GPU infrastructure.

Govern AI

• Monitor and moderate LLMs with DataRobot custom metrics and NVIDIA NeMo Guardrails. Apply NVIDIA NeMo Guardrails to DataRobot LLM blueprints to align models with safety and security requirements, or modify and combine these models with DataRobot’s custom metrics to support exact monitoring needs.

Build AI

• Compare LLM blueprint strategies in production, including NVIDIA Nemotron-3-8B LLMs. Leverage best-in-class LLMs to build generative AI applications that are uniquely tuned for an organization, with the visibility and performance needed to deliver the most optimal solution to your customers. 
• Utilize NVIDIA RAPIDS libraries within DataRobot Notebooks. Enhance end-to-end AI and data processing pipelines with a suite of GPU-accelerated data science and AI libraries to unleash development for any use case.

“Generative AI applications are key to helping businesses boost productivity with unprecedented personalization, product development and operations optimization,” said Anne Hecht, Senior Director of AI Software, NVIDIA. “DataRobot’s integrations with NVIDIA technology enhances productivity for practitioners and developers by reducing LLM deployment times from weeks to just a few minutes, maximizing inference performance efficiency and supercharging production AI for customers.”

To learn more about how DataRobot and NVIDIA are collaborating, visit https://www.datarobot.com/partners/technology-partners/nvidia.

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).

The post DataRobot to Accelerate Enterprise-Ready AI Solutions with NVIDIA appeared first on DataRobot AI Platform.

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).

The post DataRobot’s Response to the EU AI Act appeared first on DataRobot AI Platform.

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).

The post DataRobot Announces New Enterprise-Grade Functionality to Close the Generative AI Confidence Gap and Accelerate Adoption appeared first on DataRobot AI Platform.

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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