Dataiku
Democratizing AI and data science
with Dataiku and Vivanti


How We Can Help
Applying the power of AI to transform everyday business decision-making
with Dataiku Data Science Studio and Vivanti
![]() Dataiku trainingRecently implemented Dataiku, hired new data science personnel, or in need of a skills refresh? Vivanti can train your teams on the functions, features and benefits of the Dataiku platform. |
![]() Readiness Assessment & Implementation PlanConsidering diving into Dataiku? Engage Vivanti to review your AI and data science processes and needs. Our Assessment Report provides recommendations on next steps and implementation approaches to match your timelines, budget and data science ambitions. |
![]() ![]() ML & AI strategy evaluationLooking to develop your ML / AI strategy and build a true Center of Excellence within your organization? Vivanti can compare your current practices against your stated goals and produce a recommended roadmap for success. |
![]() ML Ops ReviewWhether you’re already using Dataiku, or are considering taking the plunge, our targeted ML Ops Review outlines how to streamline and optimize your operational practices at each step of the ML journey – from data ingestion and batching, model training and tuning, to runtimes and benchmarking.
|
![]() Data governance strategyTo make any data science initiative successful, you need consistent ways of working with your data. Our team can assess your current practices and produce a recommended framework to improve overall data quality, management and governance. Work with us to ensure the security and integrity of your data. |
![]() ![]() Dataiku health checkOur independent experts can evaluate the current state of your Dataiku deployment. Our analysis is presented to you in a report with recommended optimizations to help ensure you’re getting the best value possible from your Dataiku investment.
|
![]() Targeted POCsAren’t sure how Dataiku can enhance your AI and data science development and delivery? Vivanti can conduct a highly-targeted Proof-of-Concept, focusing on enhancing one process or aspect of your data science workloads or practices with Dataiku’s toolset. |
![]() Deployment & configurationAsk Vivanti to implement and customize all aspects of Dataiku’s centralized solution for AI app design, deployment and management: From data prep and data ops, model training and MLOps, to building and deploying analytical apps and data visualizations. |
![]() ![]() Data prep & DataOpsEngage Vivanti to help your team design and build data architectures, data pipelines, processes and migration strategies to accurately underpin your AI initiatives with clean, consistent and trustworthy data. |
![]() Model buildLooking to build a particular ML model to solve a specific business problem, but aren’t sure where to start? Vivanti can work with you to make it happen – from data sourcing and aggregation, to model building and training, deployment and maintenance. |
![]() Model pipeline buildVivanti will work with your team to harness Dataiku’s Machine Learning solutions to build a full ML pipeline. Package includes: Business problem identification; data collection and cleaning; model building and training; deployment of model in production; model tracking as well as model re-training and overall pipeline automation. |
![]() ![]() Data visualizationEngage Vivanti to build the intuitive charts and dashboards needed to effectively share easily consumable insights – derived from your data science efforts – throughout your organization. Empower data engineers, business users and project stakeholders to visually see and understand the outputs of your AI projects and track associated KPIs. |
![]() Model retraining & maintenanceKeeping your Machine Learning models accurate and performant requires constant effort and diligence. Engage Vivanti to automate and oversee model retraining and optimization. |
![]() Your on-call expertsKeep our consultants on speed-dial to help answer your burning questions, add grunt to important projects and extra dev bandwidth at crunch time. |
Why we love Dataiku
Securely streamlining and democratizing data science at scale
1. Large-scale data manipulation
Dataiku makes it fast and easy to conduct large-scale data manipulation tasks
2. Data collaboration
Enables different teams to easily collaborate – including data scientists, engineers and business consumers – on shared analytics projects
3. A central hub for AI AppDev
Provides a cohesive central hub for securely designing, deploying and managing an organization’s AI applications