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Found 13 results

  1. In the rapidly evolving digital landscape, the role of data has shifted from being merely a byproduct of business to becoming its lifeblood. With businesses constantly in the race to stay ahead, the process of integrating this data becomes crucial. However, it's no longer enough to assimilate data in isolated, batch-oriented processes. The new norm is real-time data integration, and it’s transforming the way companies make decisions and conduct their operations. This article delves into the paradigm shift from traditional to real-time data integration, examines its architectural nuances, and contemplates its profound impact on decision-making and business processes… View the full article
  2. In the dynamic landscape of Kubernetes application deployment, GitOps has emerged as a transformative methodology. At its core lies the concept of declarative configuration stored in version-controlled repositories, enabling consistent and automated application management. Argo CD, a leading tool in the GitOps ecosystem, empowers organizations to efficiently deploy and manage Kubernetes applications with precision and reproducibility. As GitOps gains traction, the need for real-time communication and collaboration surrounding deployment updates becomes increasingly apparent. View the full article
  3. Generative AI chatbots like ChatGPT, Bing Chat and Google Bard continue to iterate and improve, and Google's smart assistant is the latest to get a feature update – it can now respond to you in real time, if you want it to. Before now, Bard has always taken the time to compose its responses in full, before putting them on screen. That's in contrast to ChatGPT and Bing Chat, which output text in real time while the answer is still being worked on. Now, Google Bard will do that as well, by default. The update was spotted by 9to5Google, and we've seen it for ourselves too, though Bard's changelog hasn't yet been updated to reflect the different approach... View the full article
  4. The predictive quality of a machine learning model is a direct reflection of the quality of data used to train and serve the... View the full article
  5. Amazon SageMaker Canvas now supports deploying machine learning (ML) models to real-time inferencing endpoints, allowing you take your ML models to production and drive action based on ML powered insights. SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate ML predictions for their business needs. View the full article
  6. With the help of event-driven architecture (EDA) and the Open API economy, businesses can keep up with the world and operate in real-time. View the full article
  7. WebSocket is a common communication protocol used in web applications to facilitate real-time bi-directional data exchange between client and server. However, when the server has to maintain a direct connection with the client, it can limit the server’s ability to scale down when there are long-running clients. This scale down can occur when nodes are underutilized during periods of low usage. In this post, we demonstrate how to redesign a web application to achieve auto scaling even for long-running clients, with minimal changes to the original application... View the full article
  8. Amazon Connect Contact Lens now provides manager alerts on real-time metrics via email notifications, EventBridge events, or Amazon Connect Tasks. These new alerts enable businesses to notify their managers on unexpected changes in contact center operations that could impact the end-customer experience. With this launch, businesses can now configure alerts that include choosing a metric (e.g., service level), defining a metric threshold (e.g., service level of 90 seconds drops below 75% on a business critical queue), and sending an automated email notification or assigning a task to a manager for follow-up action. View the full article
  9. Amazon Connect Voice ID (available in preview) provides real-time caller authentication that makes voice interactions in contact centers more secure and efficient. Voice ID provides an additional security layer that doesn’t rely on the caller answering multiple questions (such as birthdate and mother’s maiden name) and makes it easy to enroll and verify customers without changing the natural flow of the conversation. View the full article
  10. Contact Lens for Amazon Connect, launched at re:Invent 2019, provides a set of machine learning (ML) capabilities integrated into Amazon Connect that analyze call recordings or customer sentiment, trends, and compliance of conversations. Now, Contact Lens supports real-time call analytics capabilities, enabling you to detect customer issues during live calls and resolve them faster. View the full article
  11. Real-Time Live Sports Updates Using AWS AppSync is a new AWS Solutions Implementation that helps media and entertainment (M&E) companies deliver sports information to their customers on mobile and web applications in near real-time. Delivering real-time sports updates is a critical workload for many M&E companies. When a fan’s favorite team scores a goal, hits a home run, or makes a touchdown, it is important that this update makes it to fans in as close to real-time as possible. This solution simplifies historically complex and expensive infrastructure and helps support thousands of fans tracking a game or match in a web or mobile application. View the full article
  12. Data engineers and developers face challenges every day to help their organizations digitally transform. To do this, they must deliver real-time data applications faster, better and cheaper. With businesses in every industry now data-driven, data professionals must work more efficiently and accelerate time to market for their products. That’s where DataOps comes in. Development of […] The post DataOps: The Key for Real-Time Data Application Development appeared first on DevOps.com. View the full article
  13. Amazon Connect real-time metric dashboards now allow you to drill down into queue and routing profile data in one click. For example, if a queue has a long wait time, call center managers can create a table in one click to view agents in that queue. With this table, they can quickly identify agents in an error status and work with them to resolve the issue. View the full article
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