OpenAI Use Cases: Adapting to Change

Heraclitus was not lying when he said, “Change is the only constant in life.”

It doesn’t matter what business or industry you are in. Whether it’s because of new products, processes or people, change is inevitable—and sometimes a pivot must happen overnight. In a world where competition is hot and uncertainties abound, organizations must be able to take quick, decisive action.

Whether organizations are agile enough to do so largely depends on their data strategy—and more specifically, if they can access, learn from—and act on—their data in near real-time.

In a recent post, we talked about the excitement around OpenAI’s ChatGPT and how artificial intelligence (AI) can dramatically boost productivity and efficiency by automating manual, tedious processes. Particularly when it comes to data management, AI can automate data ingestion, preparation, cleansing, visualization, and more. In other words, it acts so you don’t have to.

As the customer success stories below highlight, that automation can be critical for navigating change.

Forced change upends the status quo

One of the most important lessons we’ve learned in recent years is how vital near-real-time data is for resiliency and business continuity. But what if what you need from that data suddenly changes?

For one Neudesic client, major legislation created a need for a brand-new capability. They were suddenly required to identify, redact, and purge information from their records. Without systems to handle this, workers were forced to manually comb through a massive backlog of documents and manually perform these tasks.

These types of problems are best addressed with a combination of Azure Cognitive Services, Custom and OpenAI models to:

• Automate the identification and extraction of data. Massive repositories of documents are parsed, and sections are redacted automatically or recommended for redaction. The final output consists of entire sections of PDFs that are blacked. Thereby reducing the need for manual intervention.
• Automate indexing and classification. All documents are classified and categorized. Additionally, stakeholders are able to search documents and find information quickly.

The recent breakthroughs in language models like GPT-3.5 enable new solutions that can navigate disruptive changes, more quickly and efficiently. Neudesic is expanding the use of OpenAI’s large language models to take our Document Intelligence Platform solution to the next level by synthesizing and summarizing the data in ways users can understand and drive actionable insights.