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The 10 AP Automation Benefits (+1 Bonus Benefit) For Enterprises

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.

DevOps as a Service (DaaS): Transforming Enterprise IT Operations

A software update failure led to one of the most infamous outages of the year: the Crowdstrike Outage. The incident is estimated to have cost Fortune 500 companies more than USD 5 billion. Per the congressional testimony by Crowdstrike’s officials, the downtime wasn’t attributed to a malicious attack but a configuration and software update failure. Incidents like these make us question how we deal with our digital ecosystems - the configurations, the monitoring, the testing, etc.

AI Agents Are All You Need

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.

Transforming B2B CIAM: Strategies for Effective Access Management in Digital Collaboration

raditional approaches to access management are being superseded by a holistic focus on customer experience, prompting businesses to reevaluate their CIAM strategies. Many enterprises have initiated collaborations with other organizations. Business customers and partners now routinely utilize more digital services, resulting in an increasing need for flexible, delegated lifecycle management for B2B users.

Introducing Graph Pipelines: build faster, build smarter

Are you struggling to keep reducing build times as your project grows in complexity? Got particular workflows that take a long time to complete which needlessly hold up other parts of your build whilst you wait for the next stage? The waiting ends now with Graph Pipelines, a new feature which enables you to reduce overall build time by running CI tasks in parallel.

Test with scaling in mind

Is your error reporting solution ready to handle millions of players? Without the right tools, scaling for large games can lead to overwhelmed systems and missed insights. Here’s a strategy: Prioritize Scalability: Choose tools like Backtrace that can handle the sheer volume of errors in massive releases without compromising on performance. Enable Easy Triage: Look for solutions that streamline error sorting so teams can quickly pinpoint and resolve critical issues.

Confluent's Customer Zero: Supercharge Lead Scoring with Apache Flink and Google Cloud Vertex AI, Part 1

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.

Introducing Accelerator for Machine Learning (ML) Projects: Summarization with Gemini from Vertex AI

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.

Scaling AI Solutions with Cloudera: A Deep Dive into AI Inference and Solution Patterns

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.

Process Data in Any Format with Astera - All in Just a Few Clicks!

Handling large volumes of diverse data from multiple sources typically involves consolidation, reconciliation, and integration into new formats. It may seem like this process would demand more time and IT resources. But with Astera, you can automatically ingest data from multiple sources, automatically parse and map it, and deliver it to your preferred destination, without relying on any IT support.