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Automating API Delivery with APIOps and Kong

As organizations build more APIs, manual processes and frequent handoffs in the API development workflow can lead to a slower time to market, higher development costs, and poor-quality APIs. They can also result in APIs being poorly documented, causing poor API adoption and lower revenues. APIOps aims to address these issues by automating the entire API lifecycle, leveraging DevOps and GitOps principles. But what is DevOps, and what is GitOps?

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.

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.

Google Play Store Policy Changes 2024

Google regularly updates its developer policies to make sure Google Play is a safe and trustworthy platform for everyone. While this is unquestionably necessary and essential to protect users and their data, keeping up with the latest changes to ensure applications remain safe and compliant can feel a little overwhelming for developers.

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.

Ably: Delivering reliable realtime experiences at scale

Ably was proud to celebrate our 8th birthday this year, and we’ve enjoyed reflecting on some of our achievements since launching in 2016. When we launched, we believed that realtime interactions would underpin our everyday digital experiences, rather than just augment them. And so we set out on a mission to build the definitive realtime experience platform.

Improving Government Case Management with AI: 6 Use Cases

There are many ways AI can improve government case management processes. Examples include: AI capabilities often depend on a large language model (LLM), an advanced AI system that can understand, analyze, interpret, and generate human language. It uses deep learning techniques to predict and produce coherent text based on input prompts. A large language model trained on government agency data is capable of tasks like text extraction, translation, summarization, and conversational responses.

Top 4 AI Use Cases in Life Sciences

The life sciences industry is rapidly embracing artificial intelligence (AI) to automate complex processes, enhance efficiency, and improve outcomes. From drug development to patient care, AI-driven automation is transforming the landscape. Here are some of the top artificial intelligence use cases for process automation in the pharmaceutical industry.

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.