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.

Application programming interfaces (APIs) do a lot of behind-the-scenes work that you might never notice. When you look at the weather forecast on your smartphone, you get updated info because of an API. You rely on APIs when you sign into your email account, get driving directions, and book airplane tickets.

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.