Analytics

When it comes to building AI models, the process is often oversimplified as “just get a GPU and start building.” While securing access to GPUs can be a challenge, gaining access to GPU clusters is only the beginning of the journey. The real complexity lies in effectively leveraging GPU capabilities to deliver meaningful business impact.

Today we are excited to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP) for PDF document analysis, “Document Analysis with Command R and FAISS”, leveraging Cohere’s Command R Large Language Model (LLM), the Cohere Toolkit for retrieval augmented generation (RAG) applications, and Facebook’s AI Similarity Search (FAISS).

Managing social media isn’t just about posting content—it’s about measuring what works, improving what doesn’t, and driving real results. But when you’re flooded with likes, shares, comments, and a handful of other metrics, it’s tough to figure out what’s actually working. Social media analytics tools cut through the clutter.

As a finance team member, it’s likely your main goals are to reduce risk, improve profitability, and maintain exceptional levels of compliance. To achieve success, you need direct access to accurate data from your ERP and the ability to quickly create drillable Excel reports for GL and other finance requirements. Many finance teams rely on their ERP’s native reporting for this.

As the open-source maintainers of MLRun, we’re proud to announce the release of MLRun v1.7. MLRun is an open-source AI orchestration tool that accelerates the deployment of gen AI applications, with features such as LLM monitoring, fine-tuning, data management, guardrails and more. We provide ready-made scenarios that can be easily implemented by teams in organizations.

The barrier to entry for building practical generative AI is lower than you think, but you have to follow the right steps.

Data’s value to your organization lies in its quality. Data quality becomes even more important considering how rapidly data volume is increasing. According to conservative estimates, businesses generate 2 hundred thousand terabytes of data every day. How does that affect quality? Well, large volumes of data are only valuable if they’re of good quality, i.e., usable for your organization’s analytics and BI processes.

Since sales and marketing both drive customers down the pipeline, it’s no wonder that the two departments often work together. When we surveyed more than 170 companies about their sales and marketing alignment, the majority told us that sales have at least some influence on marketing. About 45% of the respondents reported that their sales have a significant influence on their marketing.

If you’re working in the data space today, you must have felt the wave of artificial intelligence (AI) innovation reshaping how we manage and access information. One of the areas affected is data catalogs, which are no longer simple tools for organizing metadata. They’ve evolved dramatically into powerful, intelligent systems capable of understanding data on a much deeper level.