Dataiku
Dataiku + Solomontech
As an official partner of Dataiku, Solomon Tech provides comprehensive services to help clients effectively implement and utilize Dataiku solutions. In addition to Dataiku implementation, we offer expertise and data engineering services for data analytics and data science projects.
Leading Platform for Everyday AI
Dataiku is an all-in-one platform for data preparation, exploration, analysis, and the building, validation, testing, deployment, and management of machine learning models. On a single platform, people from various business departments can lead innovation for AI.
Dataiku
Main features
Generative AI
With Dataiku, you can build secure generative AI applications. It helps everyone leverage generative AI through simplified development tools, pre-built use cases, and AI assistants.
Data preparation
In Dataiku, you can access, explore, and prepare project data. Use visual recipes, coding interfaces, and generative AI to clean, combine, and transform all types of datasets.
Visualization
Save time on data analysis and reporting by using Dataiku's built-in data profiling, statistical analysis, and charting features. Visualize data using bar charts, line charts, pie charts, box plots, 2D distributions, heatmaps, tables, scatter plots, maps, and custom web apps.
AI & ML
Dataiku AutoML offers an efficient framework for model development through guided processes for AI and machine learning, including prompt engineering, prediction, clustering, time series forecasting, computer vision tasks, and causal ML.
DataOps
Dataiku projects feature visual pipelines that represent the flow of data transformation and movement. By automating, monitoring, and setting up alerts for these data pipelines, you can deliver the right data to your team.
MLOps
Develop, deploy, monitor, and maintain machine learning models on a single platform. Deployer is the ideal space for operators to manage Dataiku project versions and API deployments across development, testing, and production environments.
Collaboration
Dataiku's Flow provides a collaborative environment where projects can be worked on in a shared space. Teams can easily reuse existing data products, avoiding the need to start from scratch each time.
Governance
Track the status and progress of data initiatives, ensuring that workflows and governance processes are properly established. This helps the company scale generative AI projects and prioritize models.
Security
Manage authentication risks using SSO and LDAP with robust security. It includes role-based access control, audit trails, and granular permission features that can operate at the user, connection, project, compute, and overall level.
Our Dataiku DSS Services
As an official partner of Dataiku, Solomontech supports data-driven innovation across the entire lifecycle—from data preparation and machine learning model development to MLOps automation.
We aim to accelerate AI project delivery and improve quality by building user-friendly analytics environments for business users and enabling close collaboration with data scientists.
Solomontech provides end-to-end support throughout the Dataiku DSS journey, including data strategy planning, pipeline development, model deployment, and continuous optimization.
Dataiku DSS Implementation Consulting
We help you define the optimal Dataiku DSS architecture based on your business goals and data environment. From license planning to initial setup and pipeline strategy, we provide full-cycle implementation support tailored to your organization.
MLOps Architecture & Automation
We build scalable MLOps frameworks that automate the entire machine learning lifecycle. From model development and deployment to monitoring and retraining, we ensure your AI systems are production-ready and self-sustaining.
Dataiku Training & Advanced Consulting
Customization & Data Pipeline Development
We design automated data pipelines that fit your business processes—from data collection and cleansing to analysis and reporting. Our team customizes the Dataiku environment to enable seamless collaboration between technical and business teams.
AI/ML Project Execution Support
We support real-world AI and machine learning projects using Dataiku, helping you move from experimentation to deployment. Whether you're building recommendation engines, demand forecasting models, or predictive maintenance, we guide you through each step.
We offer tailored training programs for users at all levels, from onboarding to advanced analytics. Our enablement services foster a self-service data culture and ensure long-term success with Dataiku within your organization.
Dataiku Insights
Dataiku
Platform Key Features
Making Generative AI a Reality
With Dataiku, you can build safe and practical generative AI applications that go beyond the lab and can be applied to real-world tasks. Dataiku offers simplified development tools, pre-built use cases, and AI-powered assistant features to help everyone accomplish more with generative AI.
Reduce data preparation time,
Focus on business insights
Supports business and data analysis teams in connecting, cleaning, and preparing large-scale data for data analysis projects. By using pre-built custom visuals and code recipes, it reduces the time spent on data preparation. Leveraging generative AI-powered data preparation features significantly cuts down the time required for data cleaning.
Leverage AutoML to carry out your projects
Build and evaluate advanced machine learning models using AutoML and the latest AI technologies. Accelerate feature engineering and track model experiments within an intuitive visual ML framework. Easily reuse and replicate machine learning projects throughout.
AI Project Life Cycle Management
Enable data scientists, machine learning engineers, and operators to deploy, monitor, and manage machine learning models and AI projects in production environments. Automate drift monitoring, easily compare model performance, and consistently deliver high-quality results for business applications.
Dataiku
Unite Business & Tech in One End-to-End Platform
Data Preparation
• Access data through a variety of built-in features.
• Perform data cleaning and transformation (no code, full code, etc.) in a visual, interactive environment.
• Utilize a rich library of over 100 built-in processors for everything from simple data preparation to advanced data preparation, including time-series, geospatial, image, and text data.
Visualization
• Gain immediate visual insights through built-in chart and dashboard features.
• Utilize Python, R, SQL, and more together.
• Explore data through quick visual analysis, including numerical distributions, outlier detection, missing values, and overall statistical summaries.
Machine Learning
• Leverage AutoML based on the latest machine learning libraries (scikit-learn, MLlib, XGBoost, TensorFlow, Keras, etc.).
• Customize models directly using Python, R, and more.
• Build models using your preferred notebooks and IDEs, such as JupyterLab, Rstudio, and VSCode.
DataOps
• Use Dataiku visual flow and recipes to easily build data pipelines for both coders and non-coders, including aggregation, joins, and other transformations.
• Automatically update dashboards and pipelines using the built-in scheduler.
• Continuously keep all business stakeholders informed of project activities and status through dashboards, alerts, and project summaries.
Governance & MLOps
• Use project bundles to easily deploy everything production teams need to understand, test, and execute projects.
• Detect issues before they impact model performance through built-in data drift monitoring and alerts.
• Ensure proper review and approval through built-in governance plans during the design phase and before production.
Applications
• Create no-code interactive web applications directly in Dataiku or leverage major application frameworks such as Dash Plotly, R Shiny, Bokeh, and Streamlit.
• Share information with project stakeholders using built-in dashboards or push results to BI platforms like Power-BI, Qlik, and Tableau through integrated connectors.
Generative AI
• Build enterprise-scale, practical, and secure Generative AI applications.
• Help everyone do more with Generative AI by providing streamlined development tools, pre-built use cases, and AI-powered assistants through LLM Mesh.
Dataiku
Industry-specific solutions
bank
• Customer Management: Segmentation,
Review analysis, Next best offer, etc.
• List management: Credit risk, stress testing, AML, credit card fraud, credit scoring, etc.
• Operational efficiency: Process mining,
Financial Forecast
Retail, consumer goods
• Customer Insights: RFM Customers
Segmentation, Customer Satisfaction Analysis
• Prediction: Customer lifetime value prediction, demand forecasting, financial forecasting
• Personalized recommendations: Market-based analytics,
Product Recommendation
manufacturing
• Industry 4.0: CO2 emissions,
Power consumption prediction, predictive maintenance
(Predictive Maintenance),
Batch Performance Optimization,
Quality control, parameter analyzer, etc.
• Operational Efficiency: Process Mining
• Efficiency: Optimize inventory and logistics;
Discount optimization, etc.
Constraints
• Process Improvement: Drug
Repurposing Knowledge
Graph (DRKG), Clinical Site
Intelligence, Omnichannel Marketing
Optimization, Pharmacogenomics
Public
• Defense, transportation planning and management, smart cities, etc.
communication
• Sales, marketing, service downtime prediction, predictive maintenance, process mining, etc.
• Manufacturing/supply chain: predictive maintenance,
Batch Performance Optimization
energy
• Predicting CO2 emissions and power consumption,
Predictive Maintenance
Maintenance), Batch
Performance optimization,
Quality control, parameter analyzer, etc.
insurance
• Insurance claims modeling
• Operational efficiency: financial forecasting,
Process mining, etc.
Health Care
• Social determinants of health (SDOH) analysis, pharmacogenomics, process mining, insurance claim modeling, clinical site intelligence
• Operational optimization: Process mining
Source: dataiku.com
Dataiku
Useful links related to Dataiku
[Talk IT] LG Chem's AI warrior introduction application case feat. Dataiku CDS platform
[Talk IT] Why AI Platforms Are Needed feat. Dataiku
[Talk IT] Issues and solutions for applying generative AI and utilizing LMM
Introducing a real use case feat. Dataiku