Kakao i Dataverse

Overview

AI Data & Contents Management SaaS Platform

Company

Role

  • Product Manager

  • Product Designer

Deliverables

  • Product Strategy Roadmap

  • UX Design

  • API Architecture

  • Data Report

Project Date

  • Mar 2022 - Aug 2023

Kakao i Dataverse is a SaaS platform for managing content & data,
using Retrieval-Augmented Generation (RAG) to integrate metadata
and vector searches for AI outputs.

Evolving from B2B2C projects,
it enhances bot services by generating responses from data,
aiming to allow non-technical admins to operate AI services
with minimal engineering effort.

Context & Background

The impact of Generative AI and the rising demand for AI transformation

With the rise of Generative AI, led by ChatGPT,
many users now expect bots to generate answers dynamically, setting a new standard for satisfaction.

This shift has highlighted the limitations of traditional rule-based NLP bots that rely on intent and entity recognition.

As a result, there is a growing need for an effective transition from conventional bots to generative AI-powered chatbots,
along with easier maintenance solutions.

Hyphothesis : HMW Approach

“How might we enable bot managers to easily manage, operate,
and improve both legacy bots and new generative AI-based bots?”

We interviewed chatbot manager using Kakao i Connect to analyze the challenges of transitioning to generative AI.
Based on these insights, we collaborated with AI Lab researchers and the search engine development lead
to define the essential features for the SaaS platform.

User Research

5 Stakeholders Interviews

  • Kakao AI Lab LLM Model Researcher

  • Kakao Search Engine Lead Engineer

  • Kakao AICC Service Product Owner

  • NH Investment Chatbot Manager

  • Hey Kakao Customer Service Agent

3 Proof-Of-Concept Projects

  • Integrated generative AI responses into the stock bot
    (Hey Kakao and Kakao Work)

  • Implemented generative AI responses functionality in AICC SaaS.

  • Implemented AI-driven answers for NH Investment & Securities' stock bot.

4 Defined User Needs

  • Codeless data and content storage with real-time integration for bots and services.

  • Provision of a private repository, allowing bots to execute processes while exempting data from model training.

  • Real-time analytics to track user data flow, identify drop-off points, and monitor conversions.

  • Role-based access control (CRUD permissions) for different team members.

Outcomes

Kakao i Dataverse

A Low-Code based SaaS Platfrom for storing, managing and integrating Data&Content, with the potential to expand into Generative AI

Service Flow

Kakao i Dataverse can be directly served as a REST API for user’s own service

In Dataverse, users can independently store and manage data and content while operating their own search engine.
It also supports retrieval-augmented generation (RAG) by combining the search engine with data processing for LLMs.

Integrated Dashboard

Effortlessly track all data and content in one view

Monitor real-time data status with card views for each Category. Quickly access detailed data with a single click.

Easily check key status changes at a glance

Check data and content sync expiration through lists and status indicators. Monitor frequently accessed search keywords and data in real time for quick operational response.

UX Flow-based Data Analytics

Visualize user flow at a glance with a Sankey chart

UX Flow-based analytics feature visualizes the depth of user-accessed data through a Sankey chart, providing a clear view of content usage patterns and drop-offs.

Charts and graphs help provide clear insight analysis

To intuitively understand trends in large datasets, charts and graphs tailored to each insight are essential. Supports line graphs, pie charts, bar charts, and more for easy analysis.

Search Index & Meta Data Management

Create custom search indexes & rules to operate your own search service

Keyword and morphological data can be easily uploaded in bulk with a simple click of a button. Search rules can be effortlessly created by selecting representative datasets and adding bubbles.

Generative AI Management

Content upload for AI, prompt settings, and search engine integration are possible

With just a few clicks, service manager can add generative AI features, convert existing bots, and integrate content with AI models. Apply search indexes and vector search rules easily, and enhance responses with prompt instructions. Data annotation ensures sustainable operation.

Impact

By integrating Hyundai motors voice control feature with Kakao i Dataverse,
we achieved 400,000 API transactions in the first month,
pioneering a new business opportunity.

Additionally, We integrated Kakao’s distributed internal data management tools into a single platform, reducing operational costs by $2.5 million.

NEXT Projects

Hey Kakao
AI Voice Assistant Platfrom
Mobile App, AI Speaker, IoT Control Panel, Car Embedded AI