Choose Dataiku if you need an AI governance platform that prioritizes democratization, trust, and scalability. Dataiku distinguishes itself through powerful integration capabilities, robust governance features, and proactive customer service. It is suitable for businesses of all sizes and has a user-friendly interface that enables users with varying levels of technical expertise to efficiently harness the potential of AI.
In terms of its other aim — to be the primary tool for orchestrating, managing, and governing data science activity throughout the organization — Dataiku has amassed significant capabilities. Current customers reported to IDC that Dataiku had become their primary tool for coordinating data science work.
Dataiku Recognition From Gartner®️
2022 Data Science & Machine Learning Market Guides
In place of the Gartner Magic Quadrant™ for Data Science and Machine Learning (DSML) Platforms, in 2022, Gartner released two separate Market Guide reports on the ever-evolving DSML platform market:
The 2022 Gartner Market Guide for Multipersona DSML Platforms
The 2022 Gartner Market Guide for DSML Engineering Platforms
Dataiku was listed as a Representative Vendor in both market guides. This is the most recent research available from Gartner on the DSML platform market.
Data Science & Machine Learning Bake-Offs
For the third year in a row, Dataiku was invited to take the stage in the Data Science and Machine Learning Bake-Off at the Gartner® Data & Analytics Summits in Orlando and London. The bake-offs are fast-paced, informative sessions that let you see three vendors side by side using scripted demos and a common dataset in a controlled setting. This bake-off focused on data science and machine learning vendors with significant momentum in the market.
In this 20-minute video, see how Dataiku tackled a business case around flood risk mitigation and commercial insurance planning:
Customer interviews and financial analysis found that a composite organization experienced benefits of $23.5 million over three years and an ROI of 413% with Dataiku. Plus, 80% time savings on manual processes, reduced costs, and improved decision making on key business activities.
In addition to these quantified benefits, Dataiku is also helping customers develop Generative AI use cases. The latest Forrester research suggests Generative AI-powered applications are not built on a single large language model (LLM), but rather require different models to fulfill different tasks. Interviewees in the TEI study noted their organizations look forward to leveraging more and more of the Dataiku platform and its LLM Mesh functionality to drive efficiencies and help innovate.
The LLM Mesh will allow us to innovate in an agnostic way, which is of the essence when it comes to data security and compliance.
— Analytics & Data Science Product Owner, Pharmaceutical Company
This Forrester Opportunity Snapshot — a custom study conducted by Forrester Consulting on behalf of Dataiku — is based on a survey of 220 AI decision makers at large companies in North America. It delves into how businesses today are using Generative AI to accelerate their capabilities.
Dataiku spoke with Mike Gualtieri, VP & Principal Analyst at Forrester, in “The Future of AI and ROI for the Enterprise, featuring Forrester” webinar about the current state of the market and what AI success looks like going forward.
2022 GigaOm Radar Report for Machine Learning Operations (MLOps)
2023 GigaOm Radar Report for Data Science
Develop, deploy, monitor, and maintain machine learning models, all in a single platform. For both batch and real time scoring, the deployer is the central place where operators can manage versions of Dataiku projects and API deployments across dev, test, and prod environments.
Automatic drift detection and retraining, experiment tracking and model comparisons, and a model evaluation store help teams make informed decisions about the best models to deploy in production.
2023 Constellation Reports
Constellation ShortList™ Self-Service Data Science & Machine Learning
Constellation ShortList™ MLOps
Dataiku was recognised as a one of the 6 top data science and machine learning companies for early adopters and one of the top 13 MLOps solutions to know.
Constellation evaluated over a dozen self-service data science and machine learning solutions in the market and found that Dataiku is one of the strongest products in terms of helping analysts, data-savvy business users, and data scientists perform advanced analytics analyses, including predictive analysis and machine learning. Constellation also found Dataiku to be a market leader in MLOps when looking at over 20 solutions in that market category.
Dataiku was also top rated in 4 capabilities (availability and quality of training, quality of features, usability and intuitiveness, and vendor support) and 3 features (data ingestion, data pre-processing, and feature engineering).
Source: “IDC MarketScape: Worldwide AI Governance Platforms 2023 Vendor Assessment”, By: Ritu Jyoti and Raghunandhan Kuppuswamy, November 2023, IDC # US50056923
IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of ICT 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. The Capabilities score measures vendorproduct, go-to-market and business execution in the short-term. The Strategy score measures alignment of vendor strategies with customer requirements in a 3-5-year timeframe. Vendor market share is represented by the size of the icons. Copyright IDC, 2023
Everyday AI is about making the use of data almost pedestrian. AI that is so ingrained and intertwined with the workings of the day-to-day that it’s just part of the business (not only being used or developed by one central team).
Since 2013, Dataiku has been the leader in democratizing data and empowering organization-wide collaboration. We’ve been a part of the AI journey of hundreds of companies, and we have a pretty good idea of the formula for success: Everyday AI.
Each of Heraeus’s 20 operating companies has its own lead identification and qualification process. See how Heraeus uses Large Language Models (LLMs) in Dataiku to support these processes, ultimately saving time and increasing sales conversion.