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Astrato’s Seamless Integration with OpenAI
Batman and Robin. Sherlock and Watson. Gandalf and Yoda (or something). All the great heroes have sidekicks. And now Business Intelligence (BI) developers, heroes on a quest for more data-driven business decisions, can too.
BI Integration with OpenAI
Astrato is now integrated with OpenAI’s ChatGPT, offering BI developers a co-pilot to help create dimensions, measures, semantic layers, dashboards and visualizations. For analysis, ChatGPT can provide text-based summaries in easily understood business language and send automated reports with daily digests.
The benefits of integrating large language models (LLMs) into BI platforms are clear, but legacy BI tools are slowed down by their vast customer bases and, as a result, are often late adopters of this technology. Cloud-native platforms like Astrato are more agile, already offering added value through its OpenAI integration.
The Business Value of OpenAI integration
The hype surrounding ChatGPT has become so loud that it’s drowned out the tangible, immediate benefits that it actually offers to BI developers. And those benefits shouldn’t be overlooked! When it comes to real-world use cases for AI, here’s a few of the ways that developers can harness this incredible technology:
1. Advanced analytics
AI makes sophisticated data analysis faster to conduct and more accessible to business users. Machine learning algorithms can identify hidden patterns, correlations, and anomalies in large datasets, allowing developers to uncover insights that traditional BI methods might miss. Additionally, AI algorithms can produce predictive models that forecast future trends and outcomes. BI developers can leverage these models to make better informed, more data-driven business decisions.
2. Natural Language Processing (NLP)
NLP capabilities of AI can assist BI developers in analyzing and understanding unstructured textual data such as customer reviews, social media data, and support tickets. For example, Snowflake recently announced its Document AI feature, which reviews PDF documents (even documents with handwritten annotations!) and analyzes them in response to questions asked by the user in natural language (i.e. you can ask it things in written English). NLP techniques enable sentiment analysis, topic modeling, and text classification, providing valuable insights for decision-making.
3. Data visualization
After discerning key insights from a dataset, AI can generate interactive, visually appealing data visualizations. Astrato’s AI Insights feature does exactly this, creating not only individual visualizations but entire dashboards via an integration with OpenAI. Visualizing data-driven insights communicates the information more clearly and intuitively to business users.
4. Real-time insights
AI programs can be written to process data in real-time, allowing BI developers to gain immediate insights and respond swiftly to changing market conditions. Programs which update with the data are only as relevant as the data they are based on. Using Cloud-based data storage, like Snowflake or Redshift, ensures these programs are using the most up-to-date information possible. The more relevant the data, the better the business insights.
5. Automated insights
Having generated a customized insight or built a dashboard, AI can then regenerate this information periodically. Organizations are often interested in a few key metrics which they track over long periods; automating insights around these measures allows developers to focus on more specific, complex tasks.
To summarize: Integrating with OpenAI, Astrato users benefit from more advanced analytics, more relevant BI, and more efficient workflows.
Interested in using Astrato’s AI-integrated platform for your BI? Book a demo with us here!