Ratings and Reviews 1 Rating
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Epicor KineticEpicor Kinetic boasts a legacy of over five decades in manufacturing, establishing itself as a leader in delivering customized solutions on a global scale. At the heart of the Epicor strategy lies the cultivation of authentic, enduring partnerships, which ensures that its offerings are responsive to ever-evolving business requirements. Kinetic aims not only to meet existing needs but also to guide organizations towards the principles of Industry 4.0 and smarter manufacturing practices. This proactive stance is enhanced by the Epicor dedication to pioneering cloud solutions, characterized by unparalleled security, ease of use, and robust support. With an intuitive interface, Epicor Kinetic -- the global, AI-powered cloud ERP designed specifically for discrete, mixed-mode, and make-to-order manufacturers in the small and mid-market spaces -- empowers everyday users to transform business data into actionable insights and impactful reports that enhance productivity. By incorporating cutting-edge AI, machine learning, and Internet of Things technologies, the user experience provided by Kinetic enables a seamless transition to modern manufacturing methodologies. While primarily focused on cloud-based solutions, Epicor Kinetic also accommodates on-premises and hybrid deployment options, ensuring flexibility for various operational needs. Kinetic not only propels customer ambitions forward by offering tools to enhance productivity, growth, and operational efficiency but also solidifies Epicor's role as an indispensable ally for the most vital enterprises worldwide. Consequently, partnering with Epicor translates into a strategic advantage in navigating the complexities of today's manufacturing landscape.
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NectarNectar provides a flexible and cost-effective solution for contemporary workforces to enhance appreciation and strengthen connections among their teams. By utilizing this platform, organizations can preserve their culture, boost employee morale, and encourage their core values effortlessly, all without the need to oversee an internal initiative. This allows for a more streamlined approach to team engagement and recognition.
What is Alexa?
Alexa, Amazon's cloud-based voice service, can be found on a multitude of devices from both Amazon and various external manufacturers. This innovative technology empowers developers to craft smooth voice interactions, enabling users to interact with their devices in a more intuitive manner. To support these efforts, a comprehensive array of tools, APIs, reference architectures, and detailed documentation is provided, making it easier for developers to create for Alexa. Aspiring developers can kickstart their voice development by creating Alexa skills, integrating the service with other devices, or incorporating it into their own products. Moreover, a network of Alexa Solution Providers is available to offer support across a diverse range of services, including strategic planning, established reference architectures, hardware options, software development, manufacturing techniques, and strategies for entering the market. By utilizing these valuable resources, developers can significantly enhance their projects' capabilities and more effectively address the needs of their customers. Ultimately, Alexa's versatility and the support available make it an appealing choice for innovation in voice technology.
What is AWS Inferentia?
AWS has introduced Inferentia accelerators to enhance performance and reduce expenses associated with deep learning inference tasks. The original version of this accelerator is compatible with Amazon Elastic Compute Cloud (Amazon EC2) Inf1 instances, delivering throughput gains of up to 2.3 times while cutting inference costs by as much as 70% in comparison to similar GPU-based EC2 instances. Numerous companies, including Airbnb, Snap, Sprinklr, Money Forward, and Amazon Alexa, have successfully implemented Inf1 instances, reaping substantial benefits in both efficiency and affordability. Each first-generation Inferentia accelerator comes with 8 GB of DDR4 memory and a significant amount of on-chip memory. In comparison, Inferentia2 enhances the specifications with a remarkable 32 GB of HBM2e memory per accelerator, providing a fourfold increase in overall memory capacity and a tenfold boost in memory bandwidth compared to the first generation. This leap in technology places Inferentia2 as an optimal choice for even the most resource-intensive deep learning tasks. With such advancements, organizations can expect to tackle complex models more efficiently and at a lower cost.
Integrations Supported
AWS Parallel Computing Service
Alexa+
Amazon EC2 Inf1 Instances
Amazon EC2 Trn1 Instances
Amazon Music
Bloomreach
Blynk
CoRover.ai
Dialpad Connect
Fleece AI
Integrations Supported
AWS Parallel Computing Service
Alexa+
Amazon EC2 Inf1 Instances
Amazon EC2 Trn1 Instances
Amazon Music
Bloomreach
Blynk
CoRover.ai
Dialpad Connect
Fleece AI
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
Amazon
Date Founded
1994
Company Location
United States
Company Website
developer.amazon.com/en-US/alexa
Company Facts
Organization Name
Amazon
Date Founded
2006
Company Location
United States
Company Website
aws.amazon.com/machine-learning/inferentia/
Categories and Features
Categories and Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Infrastructure-as-a-Service (IaaS)
Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring