Every device, transaction, and interaction in our digital world generates an endless stream of data. By 2025, the amount of global data is expected to reach a mind-boggling 180 zettabytes. So, how do we extract and make sense of this growing data? That’s exactly where generative AI proves its value. This blog explains generative AI applications for document extraction and how this technology helps cut through the noise and zero in on exactly what you need.

Every business handles numerous document types—contracts, purchase orders, reports, invoices—you name it. And the thing about documents? They never look the same. One day, you’ve got a well-organized PDF with neatly labeled sections, making it easy to find what you need. The next, you’re stuck with a document that’s all over the place—random tables, text scattered everywhere, or even a scanned image that doesn’t fit the mold.

Table of Contents In today's globalized economy, businesses of all sizes rely on seamless data exchange with their partners, suppliers, and customers. For decades, Electronic Data Interchange (EDI) has been the backbone of this communication, enabling companies to automate the exchange of important business documents such as purchase orders, invoices, and shipping notices.

Table of Contents In today's fast-paced digital landscape, marketing teams are under immense pressure to deliver personalized, relevant campaigns that drive results. But how can businesses ensure that their marketing strategies are effective? The answer lies in marketing analytics—the process of analyzing marketing data to measure performance, optimize strategies, and ultimately boost ROI.

Table of Contents Secure File Transfer Protocol (SFTP) has become an indispensable tool for organizations needing to securely move files between systems. With its robust encryption and reliability, SFTP ensures sensitive data is transferred in a way that meets modern security standards.

Bigtable provides the query latency that real-time systems need when using data from BigQuery via the EXPORT DATA to Bigtable (reverse ETL) function.

The BigQuery tables for Apache Iceberg storage engine offers autonomous storage optimizations, clustering, and high-throughput streaming ingestion.

Many enterprises face significant challenges when it comes to building data pipelines in AWS, particularly around data ingestion. As data from diverse sources continues to grow exponentially, managing and processing it efficiently in AWS is critical. Without these capabilities, it’s harder to analyze and get any meaning from your data.

Pharmaceutical industry leaders are adopting new artificial intelligence (AI) technologies and increasing process efficiency. The Infosys report on AI adoption shows that pharmaceuticals are among the most mature industries in Al adoption. In the same report, 40 percent of the respondents claimed their organizations had deployed Al and that it was working as expected. AI-powered features help them manage massive volumes of pharmaceutical data with great accuracy and speed.