Ratings and Reviews 0 Ratings
Ratings and Reviews 0 Ratings
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What is Azure AI Anomaly Detector?
Anticipate challenges before they occur by utilizing the Azure AI anomaly detection service, which integrates time-series anomaly detection capabilities into your applications, enabling quick identification of issues. This AI-driven Anomaly Detector analyzes various time-series datasets and smartly selects the most effective algorithm for anomaly detection, ensuring high accuracy. It can detect anomalies like spikes, drops, deviations from normal patterns, and shifts in trends through univariate and multivariate APIs. Additionally, the service can be customized to recognize different severity levels of anomalies tailored to your requirements. You also have the option to implement the anomaly detection service in the cloud or at the intelligent edge, based on your needs. With a powerful inference engine that assesses your time-series information, the service independently determines the best anomaly detection algorithm for your context, enhancing precision. This automated detection mechanism minimizes the dependency on labeled training data, allowing you to save time and focus on addressing emerging issues, which ultimately leads to enhanced operational efficacy. By harnessing this innovative tool, organizations can take a proactive approach to managing potential interruptions and refine their strategies for response. This capability not only improves organizational resilience but also fosters a culture of continuous improvement in operations.
What is Arkestro?
Enjoy a seamless sourcing experience that eliminates the necessity for logins or apps, as our platform facilitates one-click sourcing events that are sent straight to your suppliers' inboxes, complemented by real-time predictive insights. Our versatile data model caters to all spending categories, enabling users to source products similarly to how they would in Excel, while also leveraging the advanced features of Arkestro. The predictive anomaly detection function proactively spots and corrects mistakes before they advance to the procurement phase, thereby improving both accuracy and efficiency. Role-based access streamlines project management for sourcing events, guaranteeing that all relevant parties receive prompt updates. By examining supplier behavior, Arkestro fine-tunes sourcing cycles, leading to shorter event durations. Our efficient email-based workflow generates a variety of award scenarios, suitable for sourcing events of any scale or complexity. Supplier quotes frequently suffer from inaccuracies due to data entry and copy-paste errors, complicating the tracking of sourcing processes that often rely on numerous pivot tables. Moreover, new sourcing cycles typically neglect to apply insights from previous supplier quotes, resulting in repeated errors. With our cutting-edge pricing simulator, you can swiftly gather recommendations for your suppliers, motivating them to modify and resubmit their bids for improved results. This holistic strategy not only reduces errors but also significantly boosts overall sourcing efficiency, making the process smoother for all involved. Ultimately, this innovative approach positions you to achieve better financial outcomes while fostering stronger supplier relationships.
Integrations Supported
Ariba Network
Azure AI Metrics Advisor
Bing
CTM360
Coupa
Crestwood Cloud
GEP SMART
JAGGAER One
Microsoft Azure
Microsoft Excel
Integrations Supported
Ariba Network
Azure AI Metrics Advisor
Bing
CTM360
Coupa
Crestwood Cloud
GEP SMART
JAGGAER One
Microsoft Azure
Microsoft Excel
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/products/ai-services/ai-anomaly-detector/
Company Facts
Organization Name
Arkestro
Date Founded
2016
Company Location
United States
Company Website
arkestro.com
Categories and Features
Categories and Features
Procurement
Asset Management
Auction Management
Bid Management
Budget Management
Catalog Management
Contract Management
Inventory Management
Invoice Processing
PunchOut
Purchase Order Management
Receiving
Requisitions & Approvals
Sourcing Management
Spend Management
Supplier Management
Sourcing
Auction Management
Budget Management
Collaboration
Global Sourcing Management
Rfx Management
Spend Management
Supplier Management
Supplier Qualification
Supplier Risk Management
Supplier Web Portal
Template Management