Bundled as part of the BMC Remedy suite, Smart Reporting has been used by almost 1,000 global companies to deliver insights on their IT and Service Management Ops. What you may not know is Yellowfin has powered BMC Smart Reporting for 10 years. Many of these organizations have used the powerful self-service analytics of Yellowfin to implement tailored reporting specific to their unique business processes and needs - as well as leveraging the great out-of-the-box content provided in Smart Reporting.

The recent failures of regional banks in the US, such as Silicon Valley Bank (SVB), Silvergate, Signature, and First Republic, were caused by multiple factors. To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure.

A few weeks ago, I wrote a post summarizing "Seven Data Integration and Quality Scenarios for Qlik | Talend," but ever since, folks have asked if I could explain a little deeper. I'm always happy to oblige my reader (you know who you are), so let's start with the first scenario: Database-to-database Synchronization.

Cloud-first organizations now outnumber on-premises ones by 3:1. Despite broad adoption, uncertainty about security still chains some organizations to an on-premises solution. If security and compliance concerns have blocked efforts to move your organization to the cloud, it’s time to reevaluate. Let’s examine modern cloud security by looking into the trusted user management capabilities in the latest release of Talend Cloud.

Harmonya relies on BigQuery to build and maintains data pipelines and train and serve machine learning models for its product enrichment service.

At Snowflake, we’re helping data scientists, data engineers, and application developers build faster and more efficiently in the Data Cloud. That’s why at our annual user conference, Snowflake Summit 2023, we unveiled new features that further extend data programmability in Snowflake for their language of choice, without having to compromise on governance.

The potential of generative AI and large language models (LLMs) for enterprises is massive. We’ve talked about this opportunity before and at Summit 2023, we announced a number of capabilities that come together to help our customers bring generative AI and LLMs directly to their proprietary data, all delivered through a single, secure platform.

In today's fast-paced, data-driven world, deeper data insights and faster time to value are paramount if you want your business to stay competitive and thrive. Decision-makers need instant access to all their data sources to make sound business decisions — and they need to have trust in their data. However, data quality is often overlooked. According to Gartner, poor data quality costs organizations an average of $12.9 million annually. What’s going on?

During the COVID-19 pandemic, telcos made unprecedented use of data and data-driven automation to optimize their network operations, improve customer support, and identify opportunities to expand into new markets. This is no less crucial today, as telcos balance the needs to cut costs and improve efficiencies while delivering innovative products and services.

The world is undergoing a remarkable transformation fueled by data. Organizations have accumulated silos across their data infrastructure to support various workloads, languages, tools, and formats because of technology limitations. These silos can have major consequences in the form of greater operational burden, security vulnerabilities, increased total cost of ownership, incomplete insights, and reduced agility.