1、Have Your Cake and Eat it Too with Dataiku and DatabricksAmanda MilbergSenior Partner Solutions Engineer,DataikuDatabricks2023Session ObjectiveProvide an overview of Dataiku Highlight the seamless feature integrations of Dataiku and DatabricksIllustrate how utilizing these two technologies provide a
2、 fool proof recipe for AI applications and data driven success Providing a high level overview of what are Large Language Models(LLMs)Introduce the use case we will be walking through todayOutline step-by-step how to customize a LLM on your own data with low computational resourcesDemocratize our LL
3、M to the enterprise through a no-code Dataiku ApplicationOutline the components of the RAFT framework for Generative AI Deploy our LLM in a secure,governed environment Gather the IngredientsFollow a RecipeThe Icing on The CakeHighlight how Dataiku and Databricks is a winning formula for data excelle
4、nce1_DAIS_Title_SlideGather the IngredientsHow Dataiku and Databricks provide a fool-proof recipeWhat is Dataiku?Skill Agnostic Analytics Workbench to Scale Data&AI Initiatives Data EngineerBusiness AnalystData AnalystAnalytics LeaderData ScientistHigh codeLow codeNo codeCentralized Analytics Workbe
5、nchCloud Agnostic/Hybrid CloudData Access&CatalogingData Preparation&Analysis(Auto)Machine LearningProduction DeploymentAnalyze,aggregate,and transform data with visual or code interfacesDevelop,deploy,and monitor machine learning models in a single common environmentSchedule,deploy,and monitor data
6、 products across the enterpriseData Product Development&GovernanceConnect to ANY data source(Cloud,On Prem,ERP,CRM,etc)with or without codeEveryone working together in a common analytics workbench with a visual interface allows for collaboration,reuse,and scaleDecrease the marginal cost of data&clou