Systems | Development | Analytics | API | Testing

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Making AI Real for Customers with Robust Data Foundations and Powerful AI-Driven Insight

The rise of AI brings unprecedented opportunities, deeply rooted in the transformative power of data. As organizations strive for smarter, faster outcomes—whether accelerating product launches, streamlining supply chains, improving customer experiences, or enhancing workforce productivity—they must address five key needs for enterprise AI adoption: Move/ Transform - To effectively adopt AI, companies need to bring together and transform data of all types from all sources.

S1.E5: Test automation uncovered | QA Therapy Podcast

In this episode, we're diving into the realm of test automation ownership, strategy, tooling, and beyond, with our special guest, Toyer Mamoojee, our esteemed QA Therapist. Toyer, a seasoned speaker at testing conferences, is renowned for his expertise in test automation. Did you know that Xray enables you to consolidate results from various testing frameworks into a single, centralized location within Jira? This means your teams can freely select their preferred testing frameworks or tools without sacrificing visibility into the testing process.

Announcing Moesif API Analytics and Monetization For Gravitee.io

We are thrilled to announce that Moesif now offers full plugin support for Gravitee.io! This new integration provides Gravitee.io users with advanced API analytics and monetization capabilities, empowering you to gain deeper insights into your API usage and optimize your API strategy. Whether you’re looking to monitor performance, understand user behavior, or implement flexible monetization models, Moesif’s robust feature set is now at your fingertips within the Gravitee.io ecosystem.

How to use Flink SQL, Streamlit, and Kafka: Part 1

Market data analytics has always been a classic use case for Apache Kafka. However, new technologies have been developed since Kafka was born. Apache Flink has grown in popularity for stateful processing with low latency output. Streamlit, a popular open source component library and deployment platform, has emerged, providing a familiar Python framework for crafting powerful and interactive data visualizations. Acquired by Snowflake in 2022, Streamlit remains agnostic with respect to data sources.

Delivering Effective AI for Telecom Companies: Trusted, Open, Hybrid

It’s not a surprise that in today’s challenging economic landscape, rising costs pose a significant threat to the telecommunications industry. Consider that in 2022, Bain Capital was predicting that Telcos would grapple with increased personnel and escalating operating costs due to inflation. And here we are.

Snowflake Massively Expands Types of Applications That Can Be Built, Deployed and Distributed on Snowflake

Apps are the way to democratize AI: to make it accessible to everyone and streamline customers’ experiences with faster time to insights. According to a recent IDC survey, AI applications is currently the largest category of AI software, accounting for roughly one-half of the market’s overall revenue in 2023.

How to build a Rails API with rate limiting

APIs are the bread and butter of the internet. The ability to interact with our applications programmatically enables interoperability and makes our lives as developers easier. Unfortunately, web applications are vulnerable to malicious actors that seek to misuse them or degrade their performance, which is why rate limiting is an important part of any API.

A Monumental Year for Qlik's Data Integration and Quality Business

At Qlik World 2023, Mike Capone stood on stage and proudly announced the acquisition of Talend to form Qlik’s Data Business Unit. The Data BU had the charter to combine the best of Qlik Data Integration with Talend and Stitch Data to deliver market-leading data integration and quality solutions.

Capital One Shares Insights on Cloud-Native Streams and Governance

Businesses that are best able to leverage data have a significant competitive advantage. This is especially true in financial services, an industry in which leading organizations are in constant competition to develop the most responsive, personalized customer experiences. Often, however, legacy infrastructure, data silos, and batch systems introduce significant technical hurdles.

Data Catalog vs. Data Dictionary vs. Business Glossary: Key Differences

A data catalog is a collection of metadata that acts as a comprehensive inventory of an organization’s data assets. It provides an overview of all the data available, regardless of its location or technical details. This collection helps analysts and other data users find the needed data.