How to monitor your scheduled server actions with Heartbeat checks
Learn how you can implement heartbeat monitoring of your scheduled server actions with Checkly.
Operations | Monitoring | ITSM | DevOps | Cloud
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Discover the Future of Customer Support: AI-Powered Helpdesks! Infraon
Say goodbye to long response times and hello to personalized, efficient support available 24/7! Join us as we delve into the cutting-edge technology of AI-powered helpdesks, where artificial intelligence, machine learning, and natural language processing come together to optimize customer support. With data-driven insights and personalized interactions, businesses can elevate customer experiences and build lasting loyalty.
Install MLflow in less than 5 minutes
Install MLflow quickly on Ubuntu using our distribution, Charmed MLFlow. You can integrate it with different tools, so you can run it on your workstation with Jupyter Notebook or at scale with Charmed Kubeflow. Charmed MLFlow is a fully open source distribution of the upstream project, that benefits from security patching, tool integration and automated lifecycle management.
Joining the Power of AI and Automation: Today's Business-critical Opportunity
Artificial intelligence (AI) won’t fade anytime soon, and since Generative AI (genAI) joined the party in Nov. 2022, innovative business strategies will only get louder. The not-so-fun part of AI and genAI’s growth shows up when businesses resist change and the adoption of emerging technologies. But the truth is – business leaders must step up.
Eight Cybersecurity Tips for Businesses in 2023
The online playing field for businesses in multiple niches has expanded, with the internet enjoying an overarching presence in various facets. New and larger markets have become more accessible through online platforms. All an established business needs is computer-based tools and an internet connection that won’t falter. Expansion is often rewarding but has its fair share of risks; thus, melding a nice blend of cybersecurity with a growing company is the safe way to go about it.
A Guide to Currency API Implementation
When setting up a website that sells products or services online or operates a trading platform, up-to-date currency conversion is vital. Not having prices correctly displayed in the user's currency of choice can mean they go elsewhere, or if they do buy, you could lose out on potential profit on the transaction due to changing exchange rates.
How AI-Generated Content Is Changing the Media Landscape
The world of communications and media is changing at an incredible rate. From using artificial intelligence for content creation to the integration of voice technology, it seems like almost every part of how we consume and share information is being revolutionized. Let's take a closer look at how AI-generated content is altering the media landscape: why it matters, who benefits from it, what kind of impact has already been seen as well as potential pitfalls. Time to dive in!
AI adoption for software: a guide to learning, tool selection, and delivery
This post was written with valuable contributions from Michael Webster, Kira Muhlbauer, Tim Cheung, and Ryan Hamilton. Remember the advent of the internet in the 90s? Mobile in the 2010s? Both seemed overhyped at the start, yet in each case, fast-moving, smart teams were able to take these new technologies at their nascent stage and experiment to transform their businesses. This is the moment we’re in with artificial intelligence. The technology is here.
Intro to Speedscale
Speedscale is a Y-Combinator backed startup that helps Kubernetes engineering teams build resilient and performant containerized apps. Our production traffic replication platform is a more reliable, cost-effective, and scalable way to test and deliver cloud-native software applications. Unlike other tools, we use agents/sidecars to record and playback sanitized traffic that you see in prod. With Speedscale, engineers can generate load, simulate production conditions, and mock third party backends modeled after real traffic patterns.
Image recognition with Python, OpenCV, OpenAI CLIP and pgvector
In this video you’ll learn how to build an offline face recognition pipeline to find faces on top of complex pictures. The full written explanation is available in the dedicated article The pipeline will use: Python and OpenCV to detect faces within complex pictures Python and an OpenAI CLIP model to calculate the face embeddings PostgreSQL and the pgvector extension to store the embeddings and calculate distance across them.