In right now’s quickly evolving AI panorama, sturdy governance is extra crucial than ever as organizations attempt to harness the ability of AI. Drawing on DataRobot’s ten years of expertise in enterprise AI, we now have devoted ourselves to constructing an AI platform with the highest rating for Governance Use Case amongst all 18 acknowledged distributors by Gartner® available in the market and a governance framework that we consider exceeds trade requirements.
At DataRobot, we’ve all the time prioritized establishing a strong AI governance framework that ensures our prospects can construct, deploy and monitor generative and predictive AI property with confidence. This framework helps groups keep the standard and integrity of property in manufacturing which is essential in guaranteeing sustainable worth.
We consider this dedication has led us to be ranked the very best in Governance Use Case by Gartner®, with a formidable 4.10 out of 5 governance rating. In our opinion, this recognition is a testomony to our unwavering dedication to upholding the very best requirements of integrity, high quality, and transparency throughout all AI operations.
The Rising Want for Sturdy AI and Information Governance
With the arrival of generative AI, the demand for dependable governance has by no means been stronger or extra pressing. As AI continues to turn into extra deeply embedded throughout all sectors, the potential dangers related to its deployment develop accordingly.
In 2023 alone, the AI trade noticed a 40% improve in reported incidents associated to information breaches and mannequin bias, highlighting the pressing want for sturdy governance frameworks. In accordance with a latest survey by PwC, 85% of AI leaders cite governance as their high concern, emphasizing the significance of belief, confidence, and the safety of precious mental property.
At DataRobot, our AI governance capabilities are particularly designed to handle these crucial wants. Our platform offers complete instruments and protocols to bridge the boldness hole for our prospects.
DataRobot allows the fast and safe deployment of machine studying and generative AI functions into manufacturing inside a median timeframe of 2 to 4 weeks. This accelerated deployment is facilitated by options akin to automated compliance documentation, real-time threat administration, full mannequin transparency, and most significantly sturdy guards and intervention strategies.
This twin deal with governance and velocity implies that our prospects can keep a aggressive benefit in AI with out worrying about fame harm or pricey compliance points.
Key Governance Options that Set DataRobot Aside
AI has all the time been a workforce sport, and generative AI has made AI property extra accessible to a broader set of customers, growing the necessity for collaboration. Assembly excessive governance requirements throughout all phases of the AI lifecycle — constructing, testing, manufacturing and administration — is a should.
DataRobot Governance Umbrella
The DataRobot Governance Umbrella encapsulates our complete method to governance requirements for each ML and GenAI improvement and administration.
Our AI governance framework is designed to make sure that AI options are efficient, environment friendly, and compliant, in the end guaranteeing worth with AI. It additionally extends compliance capabilities by guaranteeing that threat is mitigated throughout all AI property all through the end-to-end AI course of:
- Construct part: Information scientists and AI practitioners lay the groundwork for creating sturdy AI options.
- Testing part: Fashions endure rigorous testing to make sure they meet our requirements and carry out reliably underneath varied situations.
- Manufacturing part: Fashions are deployed and managed in a reside surroundings.
- Monitoring and administration part: Oversight and governance instruments assist groups keep the compliance, integrity and accuracy of AI options for operational excellence.
Our framework safeguards AI fashions and aligns them with operational and compliance targets. To take action, the DataRobot platform provides six distinctive options that empower every part within the framework and make DataRobot stand out:
- Visibility and Traceability: Full traceability of knowledge, mannequin lineage and versioning ensures that each change is tracked and documented which makes functions protected and helpful.
- Audits and Compliance Documentation: Automated era of compliance stories and audit trails to satisfy regulatory necessities and fulfill transparency.
- Distinctive LLM Analysis and Testing: Detect potential dangers using each artificial and actual datasets to guage your predictive and generative AI fashions and benchmark efficiency.
- CI/CD Testing: The power to run prototype testing and consider ML or generative options with high quality metrics to rank RAG experiments.
- Actual-time Intervention, Moderation and Alerting: Steady monitoring with instantaneous notifications and intervention capabilities enabled by guard fashions and metrics to handle points as they come up.
- AI Catalog: Simply register, monitor and model all AI property, whether or not they had been constructed on or off the DataRobot AI Platform, all via a safe centralized hub.
Safe Collaboration Throughout Groups
From the construct to the administration part, we prioritize information privateness, safety, and effectivity as our prospects like to maneuver quick.
The Workbench in DataRobot offers an built-in surroundings for growing AI use instances with options for automated artifact registration for code, prompts, experiments and extra. This helps speed up the creation and iteration of helpful AI fashions with out sacrificing security, or limiting collaboration.
The Registry in DataRobot allows AI practitioners to catalog, model, and govern all AI property guaranteeing extra management over fashions. Encryption at relaxation and the choice to convey your personal key (BYOK) options make sure that our shoppers’ info is protected always, reinforcing belief and reliability.
Flexibility and Adaptability
The DataRobot AI Platform is among the most open platforms for AI. We give our customers the final word management and selection in relation to their generative AI initiatives. The platform helps custom-built fashions, third-party APIs, and open supply LLMs to stop vendor lock-in and technical debt, and defend delicate information.
This flexibility and full governance behind firm firewalls make sure that our prospects can adapt their AI initiatives to satisfy evolving enterprise wants with trusted safety. Our platform additionally provides built-in GPU assist to speed up mannequin coaching and processing, enabling information scientists to deal with advanced computations promptly.
At DataRobot, we provide equal governance for each predictive and generative AI, guaranteeing complete oversight and management throughout all AI fashions. Our governance framework offers sturdy instruments and protocols, together with full mannequin transparency, real-time threat administration, and automatic compliance documentation. Whether or not deploying predictive fashions or generative AI functions, our platform ensures that every one AI property adhere to the very best requirements of safety, integrity, and accountability. This balanced method permits our prospects to confidently and effectively handle all of their AI initiatives, understanding that each predictive and generative fashions are ruled with the identical degree of rigor and precision.
Acknowledged by Gartner, Trusted by Leaders
Our governance framework has garnered reward from trade analysts, underscoring the real-world worth and reliability that our platform offers. Along with this, DataRobot has additionally been ranked highest in Governance Use Case by Gartner.
As a lot as this recognition from Gartner means to us, probably the most impactful suggestions is from our buyer group. Their testimonials spotlight how our sturdy governance functionalities have positively impacted their AI initiatives, guaranteeing protected, profitable and assured deployments:
Tom Thomas, VP of Information Technique, Analytics & Enterprise Intelligence at FordDirect
“DataRobot is an indispensable companion serving to us keep our fame each internally and externally by deploying, monitoring, and governing generative AI responsibly and successfully.”
Arvind Thinagarajan, VP, Information Science & Analytics at Gannett | USA Right now Community
“With DataRobot, we’ve already automated a number of steps within the machine studying lifecycle for a whole lot of our fashions. These are fashions largely within the realm of predictive AI as of now. This permits us to create efficiencies and saves time for my workforce of knowledge scientists with steps like information pre-processing, mannequin constructing, governance of these fashions, and measuring the efficiency of these fashions. We consider that our partnership can prolong to the generative AI realm as nicely.”
At DataRobot, we’re dedicated to enabling our prospects to realize their targets with confidence and excellence. Our Governance, acknowledged by Gartner and lauded by our prospects, in our opinion, underscores our dedication to offering a dependable, clear, and accountable AI platform. We’re proud to be the trusted selection for organizations searching for to leverage AI responsibly and successfully.
E-book a product tour and discover how our AI governance and compliance capabilities enable you to obtain worth quickly and scale AI use instances successfully.
Gartner Crucial CapabilitiesTM for Information Science and Machine Studying Platforms, Machine Studying (ML) Engineering, Afraz Jaffri, Aura Popa, Peter Krensky, Jim Hare, Tong Zhang, Maryam Hassanlou, Raghvender Bhati, Printed June 24, 2024.
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In regards to the creator
Aslihan Buner is Senior Product Advertising Supervisor for AI Observability at DataRobot the place she builds and executes go-to-market technique for LLMOps and MLOps merchandise. She companions with product administration and improvement groups to establish key buyer wants as strategically figuring out and implementing messaging and positioning. Her ardour is to focus on market gaps, deal with ache factors in all verticals, and tie them to the options.
Kateryna Bozhenko is a Product Supervisor for AI Manufacturing at DataRobot, with a broad expertise in constructing AI options. With levels in Worldwide Enterprise and Healthcare Administration, she is passionated in serving to customers to make AI fashions work successfully to maximise ROI and expertise true magic of innovation.
