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Logistics industry has to deal with data from multiple sources including bills of lading, customs declaration forms, proofs of delivery, and others. Then they have to ensure the data is prepped, extracted, parsed, converted to the right format and then analyzed. Given how important logistics is in today’s market, it is no wonder that McKinsey Global Supply Chain Leader Survey 2024 reported 74% of respondents were interested in advanced digital and AI-based tools for planning and scheduling.

At Confluent, we’re committed to building the world's leading data streaming platform that gives you the ability to stream, connect, process, and govern all your data, and makes it available wherever it’s needed, however it’s needed, in real time. Today, we're excited to announce the release of Confluent Platform 7.8. This release builds upon Apache Kafka 3.8, reinforcing our core capabilities as a data streaming platform.

In today’s data-driven enterprises, the intersection of fiscal responsibility and technical innovation has never been more critical. As data processing costs continue to scale with business growth, building a FinOps culture within your Data Engineering team isn’t just about cost control, it’s about creating a mindset that views cost optimization as an integral part of technical excellence.

For years, companies have operated under the prevailing notion that AI is reserved only for the corporate giants — the ones with the resources to make it work for them. But as technology speeds forward, organizations of all sizes are realizing that generative AI isn’t just aspirational; it’s accessible and applicable now.

Accounts payable (AP) automation is on the rise as finance teams are realizing the benefits of AP automation solutions currently on the market. Teams that achieve partial automation in their AP processes are seeing considerable benefits in terms of time, cost, and efficiency. With vendors now integrating AI technologies into their software solutions, the potential AP automation benefits promise to change the face of accounts payable altogether.

Sorry for the click-bait title, but everyone is talking about AI Agents, and for a good reason. With the proliferation of LLMs, everyone – from software engineers using LLMs as a coding copilot to people using AI to plan vacations – is looking for new ways to use the technology that isn’t just answering questions or searching knowledgebases.

At Confluent, we continuously strive to showcase the power of our data streaming platform through real-world applications, exemplified by our Customer Zero initiative. In part 1 of this blog, we present the latest use case of Customer Zero that harnesses the capabilities of generative AI, data streaming, and real-time predictions to enhance lead scoring for sales, helping our team prioritize high-value prospects and address complex challenges within our organization.

We’re thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): “Summarization with Gemini from Vertex AI”. An AMP is a pre-built, high-quality minimal viable product (MVP) for Artificial Intelligence (AI) use cases that can be deployed in a single-click from Cloudera AI (CAI). AMPs are all about helping you quickly build performant AI applications. More on AMPs can be found here.

As organizations increasingly integrate AI into day-to-day operations, scaling AI solutions effectively becomes essential yet challenging. Many enterprises encounter bottlenecks related to data quality, model deployment, and infrastructure requirements that hinder scaling efforts. Cloudera tackles these challenges with the AI Inference service and tailored Solution Patterns developed by Cloudera’s Professional Services, empowering organizations to operationalize AI at scale across industries.