EP 2: Beyond Just Data in Today's Market

Airports are an interconnected system where one unforeseen event can tip the scale into chaos. For a smaller airport in Canada, data has grown to be its North Star in an industry full of surprises. But in order for data to bring true value to operations–and ultimately customer experience–those data insights must be grounded in trust. Ryan Garnett, Senior Manager Business Solutions of Halifax International Airport Authority, joins The AI Forecast to share how the airport revamped its approach to data, creating a predictions engine that drives operational efficiency and improved customer experience.

Securely Query Confluent Cloud from Amazon Redshift with mTLS

Querying databases comes with costs—wall clock time, CPU usage, memory consumption, and potentially actual dollars. As your application scales, optimizing these costs becomes crucial. Materialized views offer a powerful solution by creating a pre-computed, optimized data representation. Imagine a retail scenario with separate customer and product tables. Typically, retrieving product details for a customer's purchase requires cross-referencing both tables.

Predictions 2025: Strategies to Realize the Promise of AI

Snowflake leaders offer insight on AI, open source and cybersecurity development — and the fundamental leadership skills required — in the years ahead. As we come to the end of a calendar year, it’s natural to contemplate what the new year will hold for us. It’s an understatement to say that the future is very hard to predict, but it’s possible to both prepare for the likeliest outcomes and stay ready to adapt to the unexpected.

Secure Data Sharing and Interoperability Powered by Iceberg REST Catalog

Many enterprises have heterogeneous data platforms and technology stacks across different business units or data domains. For decades, they have been struggling with scale, speed, and correctness required to derive timely, meaningful, and actionable insights from vast and diverse big data environments. Despite various architectural patterns and paradigms, they still end up with perpetual “data puddles” and silos in many non-interoperable data formats.

Why Relying on Default Settings Can Cost You! | Kafka Developer Mistakes

Default settings in Apache Kafka work when you’re getting started, but aren't suited for production. Sticking with defaults, like a seven-day retention policy, or a replication factor of one, can cause storage issues, or data loss in case of failure. Learn why optimizing retention periods, replication factors, and partitions, is crucial for better Kafka performance and reliability.

Introducing insightsoftware Reporting for Workday

Discover how insightsoftware's Reporting for Workday revolutionizes data access and reporting for Workday Financial Management users. With seamless Excel integration, live data connectivity powered by Open Business Data Fabric, and interactive features like drill-downs and customizable reporting segments, this solution empowers finance teams to work faster and smarter.

Unlock the Power of Your Workday Data With Simba Drivers

For many organizations, Workday is a core system housing vital data on HR, payroll, finance, and more. However, extracting and utilizing that data for analysis can be a challenge. The new Simba Workday ODBC and JDBC Drivers simplify this process, enabling seamless access to Workday data through standard database interfaces. With Simba Drivers, you can effortlessly integrate Workday data into your analytics tools, ETL workflows, or custom applications, unlocking its full potential for decision-making.

Your Complete Guide to Mortgage Document Processing with AI

Businesses across various sectors want to leverage AI to increase efficiency, reduce cost, enhance customer experience, or do all that in one go. The mortgage industry is feeling it, too, thanks to the several potential areas where AI technologies can impact. For instance, AI can help mortgage lenders by: In fact, according to a Fannie Mae survey, mortgage lenders believe compliance, underwriting, and property valuation are all ripe for AI integration.