Generative AI (GenAI) is shaping up to be one of the greatest technology disruptions impacting business and society in our lifetimes. In fact, in the Gartner 2024 Magic Quadrant for Data Science and ML Platforms report, in the “Context” section Gartner states that, “Innovation in the DSML market, like so many others, has been dominated by giving enterprises the tools they need to succeed with GenAI. The trajectory of this market, however, is different due to the dual function of the platforms in relation to GenAI. First, there is the accelerating development of data scientists and low coders through natural language instructions and AI assistants. Second, and more important, there is the need to be able to access, utilize, and customize foundational models for enterprise needs.”
Moreover, DSML activities within enterprises have expanded outside of centralized, core DSML teams and GenAI has further accelerated the trend for democratizing data science to support profiles more closely aligned with business units and functional areas.
So, what does this mean for data and analytics leaders of the modern enterprise? The need for collaboration, operational efficiency, and governance across distributed, cross-functional teams is now more critical than ever.
Dataiku: A 3x Gartner® Magic Quadrant™ Leader
Dataiku was recently named a Leader for the third year in the 2024 Gartner Magic Quadrant for Data Science and ML Platforms. Among all evaluated vendors, Dataiku is placed furthest on the “Completeness of Vision” axis. We believe that, with Dataiku — the Universal AI Platform — data and analytics leaders can unite their teams, operations, and technology in one central place to succeed in the era of GenAI. So, how does Dataiku help?
Dataiku provides a robust set of components to run on top of the LLM Mesh, a secure backbone that enables organizations to take a multi-LLM approach, switching out underlying models to power GenAI-driven applications with ease. As the most comprehensive and agnostic LLM gateway offering on the market — partnering with the top GenAI players for secure access to thousands of LLMs — organizations can balance trade-offs between cost, performance, privacy, security, regulatory requirements, and more.
With no-, low-, and full-code tooling for everything from prompt engineering to RAG-powered chatbots to classical NLP tasks, Dataiku democratizes access to GenAI to all types of data professionals, regardless of technical skill set. This helps close the well-known AI talent gap — a pain that companies feel so acutely, and now more than ever. Dataiku is the only platform on the market that unifies all data work, from analytics to GenAI, for maximum Return on AI. Dataiku enables you to:
- Support everyone: Unite people across teams (from data to domain experts) in working with data, meeting them where they are.
- Bring GenAI to life: As mentioned above, Dataiku brings enterprise-grade development tools, pre-built use cases, and AI-powered assistants to help everyone do more with GenAI.
- Accelerate the pace of AI: Deploy full-fledged AI solutions in days and weeks, not months or years. Dataiku customers routinely cite a 60%-80% reduction in time spent to go from project ideation to production.
We’re highly satisfied with how Dataiku has accelerated our expansion of data science activities by enabling transparency, collaboration, industrialization, and organizational upskilling.
-VP, Global Commercial Data Science, Healthcare and Biotech, Gartner Peer Insights
What Makes Dataiku Different?
Dataiku's focus on democratization and multi-persona collaboration matters. According to Gartner,
“Differentiation between platforms is now based on the amount of abstraction that is provided so team members can quickly iterate on solutions without needing to dive deep into each layer.”
We believe that one of Dataiku’s key strengths is in this area, with the LLM Mesh abstracting away the complexity of managing cost and performance, making it possible for builders to just focus on building, rather than getting bogged down with managing the back-end specificities inherent in working with various LLMs. We simplify and streamline what is complex so that diverse teams can go faster and farther, and that's always been our mission. We're the only solution built from the ground up to cover the entire lifecycle of a data or AI product in one single, native platform.
Dataiku can help data and analytics teams to create and innovate with data by enabling them to:
- Break down silos with organized project spaces that encourage business and technical teams to work together to deliver projects in days, not months.
- Empower business teams with self-service analytics that help automate repetitive tasks (without overly relying on data science or IT teams).
- Increase trust and transparency across the organization with Responsible AI best practices and built-in governance (including automated model and project documentation to maintain compliance and final sign-off before production deployment to drive visibility and trust).
Dataiku helped us mobilize our collaborative workforce and increased our AI capabilities.
-Director of Innovation and Enablement, Finance Industry, Gartner Peer Insights
Success Stories From Dataiku Customers
In today's rapidly evolving AI landscape, data and analytics leaders need a platform that can unite their teams, streamline operations, and harness the power of GenAI securely and efficiently. Dataiku stands out as the AI platform of choice, offering a unique combination of accessibility, flexibility, and enterprise-grade capabilities.
Want to hear from some of the data and analytics leaders putting this work into practice at their organizations? Check out these real-life stories of how they use Dataiku to guide their organizations to a future where AI drives tangible business value, fosters innovation, and maintains high standards of governance and trust:
💡Steve Perry, Head of Data Delivery, Convex: Uses Dataiku “like a Swiss army knife for data” alongside Snowflake to enable data experts embedded into the business to collaborate with subject matter experts on data products.
💡Greg Nelson, VP of Data Operations, Highmark Health: Leverages Dataiku to reduce tech stack complexity while modernizing and uniting teams across the enterprise.
💡Mehti Aslanov, CDO, Kapital Bank: The team uses Dataiku for a behavioral scoring model to identify small- and medium-sized businesses for which to provide loans — and did so three times faster than previous legacy models.
💡David Sedlock, CDO, Zayo: By leveraging Dataiku’s automated MLOps capabilities, what used to take Zayo a full-time employee to maintain in production day in and day out, now takes minutes a week of model oversight and maintenance.
💡Hervé Riboulet, Director Cargo Analytics and CRM, Air Canada: With Dataiku, Air Canada has built and runs democratized processes across multiple functions, teams, and experts to improve marketing and the overall customer experience.
If you have the wrong tools in place, you can fly solo — you can get away with inefficiencies and hide your mess a bit. Dataiku changed our team atmosphere and culture for the better through sharing capabilities.”
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