top of page

Dataiku

SOLUTIONS

Dataiku

The End-to-End Platform for Everyday AI

자산 2.png

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.

Client Logo_DATAIKU.png

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
Unite Business & Tech in One End-to-End Platform

dataiku-01.png
dataiku-02.png

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.

dataiku-03.png

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.

dataiku-04.png

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.

dataiku-05.png

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.

dataiku-06.png

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.

dataiku-07.png

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.

dataiku-08.png

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
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.

Dataiku
Platform Key Features

dataiku-09.png

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.

dataiku-10.png
dataiku-11.png

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-12.png

Dataiku
Industry-specific solutions

dataiku-13.png
dataiku-14.png
dataiku-15.png
11-01.png
11-01.png
11-02.png

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.

dataiku-16.png
dataiku-17.png
dataiku-18.png

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

dataiku-19.png
dataiku-20.png
dataiku-21.png

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

11-01.png

Dataiku
Useful links related to Dataiku

[Talk IT] LG Chem's AI warrior introduction application case feat. Dataiku CDS platform

11-01.png
11-01.png

[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

11-02.png
-BG_9.jpg

If you have any questions about the enterprise AI platform Dataiku, consult with an expert now.

bottom of page