In today’s rapidly shifting AI landscape, robust governance is more crucial than ever, as organisations strive to leverage the potential of AI. Building upon DataRobot’s decade-long heritage in enterprise AI, we have dedicated ourselves to developing an AI platform that not only leverages the latest technologies but also establishes a governance framework that surpasses industry standards.
At DataRobot, we’ve consistently emphasized the development of a robust AI governance framework, empowering clients to confidently design, deploy, and track both generative and predictive AI assets. This framework enables groups to maintain the standards and integrity of property in manufacturing, a crucial aspect of ensuring sustainable value.
Our unwavering commitment to excellence has yielded a remarkable achievement: ranking as the top performer in Governance Use Cases by Gartner, boasting an impressive 4.1-out-of-5 governance rating. For us, this acknowledgment serves as a testament to our relentless commitment to maintaining the highest standards of integrity, quality, and transparency in every aspect of our AI operations.
Rising Demand for Robust Artificial Intelligence and Data Governance Strategies?
As generative AI technologies rapidly advance, the imperative for robust and effective governance has never been more urgent or critical. As artificial intelligence becomes increasingly entrenched throughout various aspects of life, the associated risks and dangers that arise from its deployment grow in tandem.
In 2023, the AI industry witnessed a concerning trend of knowledge breaches and model bias, underscoring the urgent need for robust governance frameworks to ensure responsible AI development. According to a recent PwC survey, an overwhelming 85% of AI executives highlight governance as their primary concern, underscoring the crucial importance of safeguarding intellectual property, instilling trust, and ensuring the integrity of valuable cognitive assets.
At DataRobot, we’ve specifically developed our AI governance capabilities to address these crucial needs. Our platform helps bridge the communication gap between clients and stakeholders.
DataRobot enables the swift and secure implementation of machine learning and generative AI capabilities within manufacturing environments in an average time frame of just. This accelerated deployment is streamlined through features akin to automated compliance documentation, real-time threat management, comprehensive model transparency, and robust guardrails and intervention tactics.
Our clients can maintain an aggressive competitive edge in AI without worrying about reputation damage or costly regulatory hurdles when we focus on governance and speed.
DataRobot’s governance options provide unparalleled control over model deployment and management, ensuring transparency, accountability, and scalability throughout the AI lifecycle. This includes:
The ability to centrally manage models across the organization, streamlining governance processes and reducing administrative burdens.
Real-time monitoring of model performance, allowing for swift identification and mitigation of issues.
Versioning and audit trails to track changes and maintain a clear history of all updates.
Role-based access control, enabling organizations to define precise permissions and ensure only authorized personnel can make modifications.
Automated retraining and redeployment of models, ensuring ongoing accuracy and minimizing the risk of obsolescence.
These advanced governance options empower organizations to confidently deploy AI throughout their operations, fostering innovation while maintaining the highest standards of accountability.
Artificial intelligence has traditionally been an insider’s game, but the advent of generative AI has democratized access to this technology, creating a pressing need for collaboration across diverse stakeholders. Establishing robust governance structures throughout every phase of an artificial intelligence (AI) system’s lifecycle – development, testing, deployment, and ongoing management – is crucial.
DataRobot Governance Umbrella
The DataRobot Governance Umbrella embodies a comprehensive approach to governing machine learning (ML) and Generative AI (GenAI) development and management, encompassing all aspects of growth and administration.
Our AI governance framework ensures AI options operate efficiently, sustainably, and in compliance, ultimately justifying the value of AI. It also enhances compliance capabilities by ensuring thorough mitigation of threats across all AI assets throughout their lifecycle.
- Information scientists and AI practitioners lay the foundations for developing robust AI solutions.
- Fashions undergo stringent testing procedures to ensure they consistently perform as required across various conditions and environments.
- Fashions are deployed and managed within a residential setting.
- Effective oversight and governance instruments enable organizations to maintain the compliance, integrity, and accuracy of AI options, driving operational excellence.
Our safeguards ensure AI fashions align precisely with operational and compliance objectives, guaranteeing seamless integration. The DataRobot platform offers a unique suite of six features, seamlessly integrating each component to distinguish itself from other solutions.
- Full traceability of information, mannequin lineage, and version control ensure that every modification is meticulously tracked and recorded, thereby safeguarding and streamlining functions.
- Automated technologies for compliance studies and audit trails ensure regulatory requirements are met, fostering transparency and accountability.
- Detect potential risks by employing both synthetic and real-world datasets to evaluate the performance of your predictive and generative AI models and benchmark their efficacy.
- The ability to execute prototype testing, exploring machine learning (ML) or generative possibilities while leveraging high-quality metrics to rank and evaluate the efficacy of Research And Guidance (RAG) experiments.
- Steady monitoring, with immediate notifications and intervention capabilities empowered by guards’ fashion and metrics, allows for seamless handling of incidents as they arise.
- Register, monitor, and replicate all AI assets, regardless of their origin, within a secure, unified portal.
Safe Collaboration Throughout Groups
From construction to administration, we prioritise speed and agility to meet our clients’ demands for swift execution.
Within the DataRobot platform, a built-in setting is available to facilitate the growth of AI usage scenarios, featuring options for automatic registration of artifacts including code, prompts, experiments, and more. This enables the development and refinement of innovative AI models without compromising security or restricting collaboration.
The DataRobot platform enables AI practitioners to efficiently catalog, develop, and govern their AI assets, thereby providing enhanced control and transparency over the entire lifecycle of models. With BYOK encryption options available for relaxation, we ensure our customers’ sensitive data remains consistently safeguarded, fostering unwavering trust and credibility in our services?
Flexibility and Adaptability
The DataRobot AI Platform stands out as a remarkably open platform for artificial intelligence. Customers have the autonomy to shape their generative AI projects through our flexible approach, ensuring they receive tailored solutions that meet their unique needs. The platform empowers users by harnessing the power of custom-built fashion, innovative third-party APIs, and open-source Large Language Models (LLMs), thereby preventing vendor lock-in and technical debt while safeguarding sensitive information.
With robust firewalls providing rock-solid security, our clients can confidently integrate AI solutions that seamlessly evolve to meet changing business needs without compromising trusted safeguards. Our platform further accelerates model training and processing, empowering data scientists to efficiently tackle complex computations.
At DataRobot, we ensure seamless governance across both predictive and generative AI models, guaranteeing comprehensive oversight and management of every AI fashion. Our robust governance framework provides comprehensive tools and protocols, featuring full model transparency, real-time risk management, and automated compliance reporting. Regardless of whether we deploy predictive models or generate AI capabilities, our platform guarantees that every AI asset complies with the highest standards of security, reliability, and transparency. Our clients’ success is ensured by a harmonious approach that empowers them to tackle AI projects with assurance, recognizing that both predictive and generative models must be governed equally by strict standards of accuracy and precision.
Recognized by Gartner, Empowered by Trust
The company’s governance framework has received widespread acclaim from industry experts, a testament to its tangible value and dependability in practical applications. According to Gartner’s rankings, DataRobot has also earned the top spot in the Governance Use Case category, showcasing its exceptional capabilities in this area.
While the recognition from Gartner holds significant importance for us, it’s the actionable advice from our own experts that ultimately drives the greatest value. Testimonials from satisfied customers showcase the significant benefits of our robust governance features, which have enabled them to confidently deploy AI solutions that are secure, profitable, and assured.
“DataRobot serves as a trusted partner, enabling us to sustain our competitive edge both internally and externally by efficiently deploying, monitoring, and governing generative AI with responsible and successful outcomes.”
“With DataRobot, we’ve streamlined numerous stages in the machine learning workflow for hundreds of models.” As we currently stand, these trends fall predominantly within the purview of predictive AI. This capability empowers our team of information scientists to streamline processes, freeing up their time for more strategic pursuits, by streamlining tasks such as data preprocessing, model building, and governing these models, while also facilitating the measurement of their effectiveness. We envision the potential for our collaboration to extend seamlessly into the realm of generative AI.
At DataRobot, our mission is to empower clients to achieve their goals with unwavering confidence and exceptional results. Recognized by industry analyst Gartner and praised by our satisfied clients, our Governance framework exemplifies our commitment to providing a reliable, transparent, and accountable AI platform that sets us apart from others. As a leader in AI solutions, we’re honored to be the go-to partner for organizations seeking to harness the power of artificial intelligence while ensuring its responsible use.
Discover how our AI governance and compliance capabilities enable you to derive value swiftly and scale AI adoption instances efficiently.
Concerning the creator
DataRobot’s Senior Product Marketing Manager for AI Observability
Aslihan Buner serves as Senior Product Marketing Manager for AI Observability at DataRobot, where she crafts and implements comprehensive go-to-market strategies for LLMOps and MLOps products. She collaborates closely with product management and growth teams to define key customer needs, then strategically develops and implements messaging and positioning accordingly. Her passion lies in identifying market voids, addressing pain points across various industries, and aligning these insights with strategic opportunities.
Kateryna Bozhenko serves as Product Supervisor for AI Manufacturing at DataRobot, bringing a wealth of knowledge to the development of AI solutions. With a background in Worldwide Enterprise and Healthcare Administration, she is dedicated to empowering clients by successfully implementing AI models, maximizing ROI, and unlocking the true potential of innovative solutions.
