ChatGPT: The Rise of Conversational Search

• Artificial Intelligence

ChatGPT, a chatbot developed by OpenAI, has been causing quite a stir in the tech and business world of late. So much so that it is seen as a potential rival of Google Search.

Chatbots have been around for a while, but ChatGPT is considered a major step forward in terms of its fluidity, intelligibility, and thoroughness compared to previous models.

What’s most exciting is the new way it has paved for consuming content, by combining the power of search with the language generation capabilities of models like GPT. And the possibilities are endless.

Future of Search

This new approach to the search function is probably the only potential threat in years, to Google’s current ‘Search’ monopoly. Instead of just drilling down through listings of content to find a specific answer, imagine being able to ask for a summary to open or closed-ended questions. We could be having conversations with the content itself!

The chatbot, with built-in Responsible AI practices, will feature ‘guardrails’ to prevent manufactured or inaccurate information from being displayed.

Additionally, there will be reinforcement learning-based features, such as citing sources for the bot’s output, to help earn users’ trust and confidence.

Availability of Language and Vision Generation Models for Businesses

How can businesses benefit from this evolution of AI?

Microsoft, an early investor in OpenAI, recently announced the general availability of Azure OpenAI Services.

This means that businesses using Azure can now access advanced AI models such as GPT-3.5, Codex, and DALLE-2, to create their own enterprise-grade applications on the cloud.

With the overwhelming adoption of ChatGPT by users, OpenAI is capturing a lot of user feedback which will help them to improve further. They are expected to incorporate matured Responsible AI practices in future versions of ChatGPT.

Use Cases of Intuitive Search for Enterprises

‘Search’ has already proven to be a key productivity enhancer for the enterprise. Course5 has been pioneering in the search domain with its unique capabilities to process structured, semi-structured, and unstructured data. Here are a couple of strong use cases to consider.

Augmented Analytics

At Course5, we have built Persia, a state-of-the-art NLP-driven intelligent, interactive, and semantic search engine; to interact with structured or tabular data in natural language.

Persia is a key component of Course5 Discovery, an Augmented Analytics platform. It enables business users to simply ask for the information they need without having to sift through multiple reports and dashboards. They can ask questions in natural language and receive insights in the form of executive summaries, charts, exceptions, early warning signals, and recommendations.

You can read more about Persia and intelligent search here, and about Course5 Discovery here.

Knowledge Management

When it comes to legacy knowledge management solutions, business users frequently encounter multiple data sources (news, trends, reports) and isolated insights. This makes it difficult to identify accurate and competitive intelligence, for timely action and collaborative decision-making.

Course5 Compete’s knowledge management tool streamlines access to all internal and external reports. Insights into the industry and competitors are available in one place, and accessible with intuitive search functionality. The dynamic search options and filters (without Boolean searching), make it easy for users to identify the reports they actually need.

You can read more about Course5 Compete’s KnowledgeHub here and about Course5 Compete here.