Learn the strategies for managing AI risk and compliance in regulated industries.

Happy New Year from the Yellowfin team to our valued customers and partners, and welcome to our 2024 recap! As Yellowfin's new General Manager (GM), I'm excited to share our progress in 2024 and our vision for 2025. Yellowfin is committed to empowering your organization with smarter business intelligence (BI) solutions that drive data-driven decisions.

Invoice scanning software is a tool that helps businesses process invoices quickly and accurately by digitizing and extracting critical information from them. It uses technologies like optical character recognition (OCR) to read invoice details such as vendor names, dates, amounts, and line items. This software is especially useful for accounts payable teams and businesses that deal with a high volume of invoices, making their financial processes faster and more reliable.

Did you know that 52% of marketers say maintaining an active presence across multiple social media platforms was their biggest challenge in 2024? With billions of users across Instagram, LinkedIn, TikTok, and Facebook, the stakes for brands have never been higher. But trying to manage all these platforms without the right tools? That’s burnout waiting to happen.

The world of business intelligence (BI) and analytics has evolved from descriptive to predictive, and now, to generative. Generative AI, a cutting-edge technology, is making its mark in embedded analytics solutions. These powerful AI analytics tools are assisting business users in analyzing their data sources more quickly and easily, generating new data sets for deeper insights, and helping make the embedded BI experience more accessible for more people.

Businesses send and receive several invoices and payment receipts in digital formats, such as scanned PDFs, text documents, or Excel files. While digital formats have allowed workplaces to transition to a paperless environment, they have introduced a new challenge for business analysts: extracting the data from invoices and using it to draw relevant insights.

Welcome to this three-part blog series where we explore how to transform generative AI (GenAI) into a powerful, real-time solution that drives business success.

In Part I of this blog series, we laid the foundation for understanding how data fuels AI and why having the right data at the right time is essential for success. We explored the basics of AI, including its reliance on structured and unstructured data, and how streaming data can help unlock its full potential.

In this final part of our blog series, we bring everything together to unlock the full potential of AI with real-time data streaming and event-driven architecture (EDA). In Part I, we explored how data fuels AI, laying the foundation for understanding AI’s reliance on fresh, relevant information.

In a significant stride toward transforming AI infrastructure, ClearML has recently announced a collaboration with AMD. By integrating with AMD’s powerful hardware and open-source ROCm software with ClearML’s silicon-agnostic, end-to-end platform, we’re empowering IT teams and AI builders to innovate with ease across diverse infrastructures and integrate GPUs from multiple vendors.