| copyright | lastupdated | subcollection | ||
|---|---|---|---|---|
|
2023-03-23 |
discovery-data |
{{site.data.keyword.attribute-definition-list}}
{: #product-overview}
Learn what {{site.data.keyword.discoveryfull}} can do to help you find answers, recognize patterns, and gain insights from your data. {: shortdesc}
Find checklists of the high-level steps to follow to achieve the following goals:
{: #product-overview-answers}
Help customers find answers faster. Analyze content from various connected data sources, pinpoint the most relevant passage or phrase, and return the right information when someone asks for it.
{: caption="Search bar with search results" caption-side="bottom"}
If pinpointing answers is your goal, complete the steps that are listed in the following table.
| Step | Task | Related information |
|---|---|---|
 |
Create a Document Retrieval project. | Creating projects |
|
Add up to 5 collections that connect to external data sources or contain uploaded files. | Creating collections |
|
Run test queries to assess the quality of the initial results. | Previewing the default query results |
|
Take actions to improve your results. For example, you can customize the search bar to enable autocompletion. | Improving your query results |
|
Deploy your search solution. | Deploying your project |
| {: caption="Checklist for getting answers" caption-side="top"} |
{: #product-overview-enrich}
Use award-winning natural language processing technology to enrich your data and ensure that the right information is found when someone searches for answers.
{: caption="Machine learning facet for filtering search results with custom enrichment values" caption-side="bottom"}
If extracting meaning is your goal, complete the steps that are listed in the following table.
| Step | Task | Related information |
|---|---|---|
|
Create any project type. | Creating projects |
|
Add collections that connect to external data sources or contain uploaded files. | Creating collections |
|
Chunk large documents into many smaller documents so you can apply more targeted enrichments to the content. | Using Smart Document Understanding |
|
Enhance your data by applying built-in NLU enrichments. | Applying prebuilt enrichments |
|
Identify and promote terms and patterns from your data with special significance to your use case. | Adding domain-specific resources |
|
Submit test queries to assess the results. | Testing your project |
|
Create a facet that surfaces the enriched data from your documents. | Facets |
|
Take actions to improve your results. | Improving your query results |
|
Deploy your solution. | Deploying your project |
| {: caption="Checklist for extracting meaning" caption-side="top"} |
{: #product-overview-chat}
Delight your customers by fortifying your chatbot with an answer to every question. Discovery is designed to work seemlessly with {{site.data.keyword.conversationshort}} to search and deliver answers from help content that you already own.
{: caption="Answer finding enabled in the {{site.data.keyword.conversationshort}} web chat" caption-side="bottom"}
If enhancing your chatbot is your goal, complete the steps that are listed in the following table.
| Step | Task | Related information |
|---|---|---|
|
Create a Conversational Search project. | Creating projects |
|
Add a collection that connects to an external data source or contains uploaded files. | Creating collections |
|
Run test queries to assess the quality of the initial results. | Previewing the default query results |
|
Take actions to improve your results. | Improving your query results |
|
Connect your project to a virtual assistant that is built with Watson Assistant. | Deploying your project |
|
From the Watson Assistant user interface, deploy the web chat that is associated with your assistant. | Deploying your assistant{: external} |
| {: caption="Checklist for enhancing your chatbot" caption-side="top"} |
For a more detailed look at these steps, take a tutorial that walks you through them. For more information, see Power your assistant with answers from web resources.
Alternatively, you can add a generative language service named NeuralSeek between the Watson {{site.data.keyword.discoveryshort}} and {{site.data.keyword.conversationshort}} services. For more information, see Use NeuralSeek to return polished answers from existing help content{: external}.
{: #product-overview-mining}
Uncover patterns, trends, and relationships in structured and unstructured data. Use text analytics to gain insights into social media, e-commerce trends, and user behavior. Or start to address problems by finding their root cause.
Only users of installed deployments ({{site.data.keyword.icp4dfull_notm}}) or Premium or Enterprise plan-managed deployments can create this type of project. {: note}
{: caption="Analyzing data with the Content Mining application" caption-side="bottom"}
If finding trends in your data is your goal, complete the steps that are listed in the following table.
| Step | Task | Related information |
|---|---|---|
|
Create a Content Mining project. | Creating projects |
|
Add a collection that connects to an external data source or contains uploaded files. | Creating collections |
|
Use the built-in Content mining application to analyze your data. | Analyzing your data with the content mining application |
| {: caption="Checklist for finding trends" caption-side="top"} |
{: #product-overview-contracts}
Accelerate the pace at which experts can analyze complex documents.
Only users of installed deployments ({{site.data.keyword.icp4dfull_notm}}) or Premium or Enterprise plan-managed deployments can create this type of project. {: note}
{: caption="Analyzing contracts" caption-side="bottom"}
If analyzing contracts is your goal, complete the steps that are listed in the following table.
| Step | Task | Related information |
|---|---|---|
|
Create a Document Retrieval for Contracts project. | Creating projects |
|
Add up to 5 collections that connect to external data sources or contain uploaded files. | Creating collections |
|
Run test queries to assess the quality of the initial results. | Previewing the default query results |
|
Take actions to improve your results. | Improving your query results |
|
Analyze the data. | Understanding contracts |
| {: caption="Checklist for analyzing contracts" caption-side="top"} |