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Elastic

Elastic Search 8.13: Simplifying embedding and ranking for developers

Elastic Search 8.13 extends the capabilities that enable developers to use artificial intelligence and machine learning models to create fast and elevated search experiences. Integrated with Apache Lucene 9.10, measured vector search performance has exceeded 2x in benchmarks, extending the sophistication of searches that can be performed in near real time.

Swift: Transforming product instrumentation with Elastic Observability

As the leading global provider of secure financial transactions and payments, it's vital for SWIFT to stay relevant. With more than 45 million messages flowing through its systems every day and being at the heart of the financial industry, SWIFT is at the forefront of secure, frictionless financial services including sanctions screenings, compliance analytics, KYC (Know Your Customer) registry, and payment controls.

Maximize IT efficiency leveraging alert management with Elastic AI Assistant for Observability

Manage and correlate signals and alerts in Elastic Observability As organizations embrace increasingly complex and interconnected IT systems, the sheer volume of alerts generated by diverse monitoring tools has given rise to a critical challenge — how do we efficiently sift through the noise to identify and respond to the most crucial issues? Event management and correlation are two indispensable pillars in the realm of IT service management.

Analyzing OpenTelemetry apps with Elastic AI Assistant and APM

OpenTelemetry is rapidly becoming the most expansive project within the Cloud Native Computing Foundation (CNCF), boasting as many commits as Kubernetes and garnering widespread support from customers. Numerous companies are adopting OpenTelemetry and integrating it into their applications. Elastic® offers detailed guides on implementing OpenTelemetry for applications. However, like many applications, pinpointing and resolving issues can be time-consuming.

OpenTelemetry and Elastic: Working together to establish continuous profiling for the community

Profiling is emerging as a core pillar of observability, aptly dubbed the fourth pillar, with the OpenTelemetry (OTel) project leading this essential development. This blog post dives into the recent advancements in profiling within OTel and how Elastic® is actively contributing toward it. At Elastic, we’re big believers in and contributors to the OpenTelemetry project.

Modernizing financial services: A deep dive into Elastic Cloud on AWS for Observability, Security, and more

In the dynamic landscape of financial services, data is not just currency; it's the key to innovation and operational excellence. Data is constantly streamlining from devices, logins, transfers, transactions, and much more, and it’s bound to increase with an ongoing reliance on digital channels. This creates a massive opportunity and responsibility for financial institutions, as their customers (and regulators) demand more from banking providers.

Machine learning vs. AI: Understanding the differences

For a long time, AI was almost exclusively the plaything of science fiction writers, where humans push technology too far, to the point it comes alive and — as Hollywood would have us believe — starts to wreak havoc. Cheery stuff! However, in recent years, we’ve seen an explosion of AI and machine learning technology that, so far, has shown us a fun side with people using AI for creating, planning, and ideating in a big way.

Emerging trends in observability: GAI, AIOps, tools consolidation, and OpenTelemetry

See the results of our 2024 survey of over 500 observability decision-makers to find out where the industry is headed As technology evolution continues at its rapid pace, so does observability. Observability is becoming critical to driving positive business outcomes, and we wanted to understand how users are evaluating trends and their impact over the coming years.

How to make a chatbot: Dos and don'ts for developers in an AI-driven world

Every day the world is becoming increasingly powered by artificial intelligence. In fact, you’d struggle to find tech companies that have not announced AI integrations into their tech stack in one way or another. Cynics might say this is a passing phase, but the reason AI is so popular is that it’s a versatile set of capabilities that can help solve a lot of problems.