Performance Management Using Saved Data
Find out how businesses can design dashboards in Bizview to present financial data effectively, whether using iframes, web tools, or sharing externally via Excel.
How to Add a Connector to Confluent Cloud
Kafka Connectors provide a way to get data flowing between your sources and sinks, and Confluent Cloud. This video reviews your options and shows you how to get started quickly.
Feature Spotlight: Hyper-datasets for Unstructured Visual Data
ClearML’s end-to-end AI Platform supports AI builders through every stage of the process, from data preparation and management to experimentation, deployment, and performance monitoring. At the heart of ClearML’s data management capabilities is its unique approach to visual data handling, known as Hyper-datasets. We’re sure you know all about the importance of data versioning, but here’s a quick reminder: effective data management is essential for.
Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate
We are excited to announce the acquisition of Octopai, a leading data lineage and catalog platform that provides data discovery and governance for enterprises to enhance their data-driven decision making. Cloudera’s mission since its inception has been to empower organizations to transform all their data to deliver trusted, valuable, and predictive insights.
Bank Statement Extraction: Software, Benefits, and Use Cases
Bank statements contain useful financial information that can be turned into important insights. With the era of manual bank statement extraction firmly in the past, intelligent document processing (IDP) and artificial intelligence (AI) offer a better way of processing bank statements and obtaining the valuable data they contain.
Low-Code Data Integration for Enterprise Salesforce Architects
In large enterprises, Salesforce Architects play a critical role in ensuring data flows seamlessly into Salesforce from various sources. However, data integration in these complex environments can be challenging, particularly when technical tools like MuleSoft are already in place. While powerful, MuleSoft often requires heavy reliance on development teams, which slows down data projects and creates bottlenecks.
Data Platform Economics: Measuring and Improving Cost-per-Query in Snowflake
80% of data management experts struggle to forecast data-related cloud costs with precision (Forrester). The root causes? A critical shortage of granular visibility needed for accurate cost allocation, fragmented data siloed away from those who need it most, and a notable absence of AI-driven tools and automated processes capable of predicting future expenditures. Streamline your approach to cloud cost management and data operations with Unravel. Move beyond mere observation to take immediate, impactful action for transformative results.
[WEBINAR] Astera Intelligence: Leveraging AI for Automated Document Processing
In this webinar, our experts- Jay Mishra and Abdullah Rafiq, demonstrate how Astera Intelligence can streamline data extraction, improve accuracy, and eliminate manual intervention. Explore how we can help you.
Introducing Cloudera Fine Tuning Studio for Training, Evaluating, and Deploying LLMs with Cloudera AI
Large Language Models (LLMs) will be at the core of many groundbreaking AI solutions for enterprise organizations. Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. LLMs deployed as customer-facing chatbots can respond to frequently asked questions and simple queries.
Introducing Spotter: ThoughtSpot's AI Analyst for everyone
Just like cloud computing changed digital businesses over time, the momentum of AI innovation foreshadows an evolution in business operations and decision-making. Instead of solely focusing on what happened or what might happen, AI will illuminate the actions that lead to better business outcomes. This is the next step in the AI evolution, one that will empower your business to shift from human-initiated, tech-assisted processes, to AI-initiated, human-supervised actions. In this world, AI is the new BI.