In 2024, AI is no longer a niche technology reserved for a handful of experts; it touches every part of the business. However, it's impossible for everyone to become an expert data practitioner overnight. The key is to equip people with tools that empower them where they are — so they can bring immediate value to the organization.
Not only is AI mainstream, but Generative AI (GenAI) is also revolutionizing the way businesses approach data and AI, making it more accessible and user-friendly. To truly harness its potential, organizations need a platform that allows data teams and business teams to unify their efforts. That's where Dataiku comes in.
By leveraging Databricks' storage and distributed computing capabilities and pairing them with Dataiku, organizations can achieve unmatched scalability and efficiency for business professionals, subject matter experts, and the rest of the enterprise — not just data experts.
Dataiku even received the 2023 Databricks AI Partner of the Year Award, solidifying how our partnership can lead organizations to sounder decision-making while maintaining oversight.
Enable the Business With Seamless Data Access & Use
With Dataiku, users can easily build sophisticated visual, no-code workflows that leverage the power of Databricks as the underlying computation engine. Non-technical users can now actively participate in the data science process by building cutting-edge pipelines, pushing processing down to Databricks (both clusters or SQL in-database) for optimal performance and resource utilization.
Dataiku provides unified, secure access to your data stored in your Databricks Data Intelligence Platform. This ensures that your data never leaves your Databricks environment, limiting data movement and maintaining the highest level of data security.
Furthermore, Dataiku's integration with Databricks Connect allows users to execute custom Python code recipes directly on Databricks clusters. This enables data scientists and engineers to incorporate their existing PySpark code and libraries into Dataiku workflows, ensuring a smooth transition and leveraging the full potential of Databricks' distributed computing capabilities.
Empower Technical Experts Through Faster Deployment and Robust Model Monitoring
Dataiku isn't just for business experts. Data scientists and engineers leverage Dataiku alongside Databricks to accelerate the deployment of machine learning models into production.
Many of Dataiku’s integrations with Databricks are focused on enabling data and operations experts to build, deploy, and monitor more applications faster than ever:
- Dataiku’s external models integration allows teams to use trained models in Databricks in their workflows while monitoring model performance and detecting drift, governing projects, and benefiting from Dataiku’s unmatched model explainability and model versioning.
- Dataiku enables users to access all the benefits of its machine learning (ML) model management on previously trained MLFlow models through experiment tracking.
- Thanks to its API and automation nodes, Dataiku reduces the time it takes to deploy models to production. Users can even export Dataiku models as MLFlow models to use in Databricks or elsewhere.
Furthermore, Dataiku's integration with Databricks Connect allows users to execute custom Python code recipes directly on Databricks clusters. This enables data scientists and engineers to incorporate their existing PySpark code and libraries into Dataiku workflows, ensuring a smooth transition and leveraging the full potential of Databricks' distributed computing capabilities.
Governing GenAI and ML Projects With Confidence
Governance is a critical aspect of any AI project, and Dataiku has you covered. Users have complete control over data storage, compute, and deployment infrastructure, keeping data secure within the Databricks environment.
When creating Generative AI solutions, Dataiku's LLM Mesh enables users enterprise-wide to securely connect to large language models (LLMs), including models hosted by Databricks Mosaic AI, allowing for PII detection, toxicity moderation, and cost tracking when working with GenAI and LLMs.
TL;DR: Dataiku provides full oversight into every asset and portion of your analytics lifecycle:
- Dataiku is fully integrated with the Databricks Unity Catalog.
- Audit the logs of your organization's LLM usage and accurately monitor cost through the Dataiku LLM Cost Guard.
- Establish governance processes to ensure proper review and final sign-off before solutions are live in production through Dataiku Govern.
Dataiku is ushering in the era of Everyday AI, and our work with Databricks is evidence of that. Together, we are empowering organizations to leverage the full potential of their workforce and their data and AI initiatives to achieve innovation and business value.