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ImorgonSignificantly improve the speed and quality of Radiology reporting by reducing unnecessary dictation, particularly for ultrasound and DEXA. Imorgon transfers modality measurements into Powerscribe/Fluency/RadAI merge fields/tokens, eliminating manual entry errors. Imorgon's specialized services offer the following advantages: - All measurements are always transferred (usually DICOM SR) - Electronic worksheets capture findings and insert them into Powerscribe/Fluency/RadAI (rather than dictating from a worksheet) - Worksheets with priors, calculators, and clinical decision support (TI-RADS, O-RADS, etc) - Integrate into Epic or other EHRs - Vendor neutral - Support to ensure everything continues working Significant improvement in the overhead of reporting with a quick ROI.
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RaimaDBRaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
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SalesTarget.aiSalesTarget.ai — The Complete Sales OS for Modern Outbound Teams Prospect smarter. Reach further. Close faster. SalesTarget.ai brings together data intelligence, multichannel outreach, and pipeline management into one unified platform — purpose-built for B2B companies, agencies, and revenue teams tired of juggling disconnected tools. The Intelligence Engine sits at the heart of the platform, giving teams instant access to 840M+ contacts, 150M+ business profiles, 4,000+ data attributes, and insights from 50+ top-tier data providers. Pinpoint the right buyers with firmographic, technographic, and behavioural filters — then act on live intent signals before your rivals even know a deal is in motion. Everything you need, under one roof: Email Outreach — run high-converting campaigns with smart scheduling, inbox warm-up, spintax, and a centralized inbox optimized for deliverability Power Dialer — auto-work through call queues straight from your CRM, eliminating manual dialing and keeping every conversation tracked LinkedIn Automation — engage prospects via connection requests, InMail, and profile touches as part of a coordinated multichannel sequence Email Validation — verify contacts before sending to protect your domain reputation and slash bounce rates Built-in CRM — manage deals, log calls, assign tasks, and align your team without leaving the platform AI Co-pilot — prospect, sequence, and report across the entire workflow using plain-language chat commands One connected system. Zero tool-switching. Infinite scale.
What is Google Cloud Profiler?
Evaluating the efficiency of production systems is often seen as a difficult endeavor. Testing environments frequently miss the authentic pressures found in a real-world production context when performance assessments are conducted. Although micro-benchmarking specific parts of your application may be possible, it typically does not accurately represent the genuine workload and behavior of a production environment. Continuous profiling of these production settings proves to be an essential approach for determining how resources like CPU and memory are consumed during service operation. Nonetheless, this profiling comes with its own set of challenges: to be effective in revealing resource usage trends, the additional overhead should remain as low as possible. In this regard, Cloud Profiler presents itself as an effective solution, functioning as a statistical, low-overhead tool that systematically gathers data on CPU consumption and memory usage from active applications. This tool adeptly ties that information back to the specific source code responsible for it, enhancing understanding of resource distribution. By implementing such a profiler, developers can fine-tune their applications without compromising overall system performance, ultimately leading to more efficient and reliable software. This ensures that applications not only run smoothly but also meet user demands in a timely manner.
What is Canonical Landscape?
Landscape effectively simplifies the management and supervision of large and growing networks that encompass desktops, servers, and cloud infrastructures, making it a cost-effective solution. It significantly reduces the daily management workload for your team, allowing for seamless administration of various deployments in desktop, server, and cloud environments. A single instance can proficiently manage up to 40,000 devices, showcasing impressive scalability capabilities. Users can develop customized profiles to monitor different categories of machines, streamlining the processes for software installation, updates, and uninstallation. Moreover, policies can be set for automated updates and security patches, ensuring systems stay secure with minimal manual effort. The tool enhances operational security by allowing users to view all active processes on a device and remotely terminate any identified threats. Additionally, users can track trends in temperature, disk space, memory usage, and overall system load through customizable graphs, which provide valuable insights. This adaptability is further enhanced by the capability to create graphs based on specific metrics that are crucial to your operations. Regulatory compliance is made significantly easier with custom reporting features that include automated audit logs and compliance documentation. In addition, you can seamlessly monitor and retrieve detailed information about software packages for all registered machines, improving oversight and management across the entire network. Lastly, the platform’s integration capabilities ensure that it can adapt to various organizational needs, further enhancing its versatility.
Integrations Supported
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Compute Engine
Google Kubernetes Engine (GKE)
Integrations Supported
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Linux
Supported Platforms
SaaS
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Webinars
On-Site Training
Training Options
Documentation Hub
Company Facts
Organization Name
Company Location
United States
Company Website
cloud.google.com/profiler/docs/about-profiler
Company Facts
Organization Name
Canonical
Date Founded
2004
Company Location
United Kingdom
Company Website
landscape.canonical.com/landscape-features
Categories and Features
Cloud Monitoring
Not specified
Categories and Features
Cloud Monitoring
Not specified
Hardware Monitoring
Not specified
IT Infrastructure Monitoring
Not specified
Server Monitoring
Not specified