Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The AltViz solution seamlessly integrates data from your current ERP system and leverages advanced AI to enhance your production planning. It enables planners to achieve a better equilibrium between service levels, inventory management, and resource utilization while ensuring the stability of the overall plan. With rapid scenario modeling capabilities, it supports strategic planning that is crucial for long-term Sales and Operations Planning (S&OP) decisions. By embedding production and planning rules within dynamic or fixed repeating sequences, it fosters increased stability. The established repeating patterns enhance predictability and allow flexibility in SKU-level planning. Plans can be effortlessly updated with fresh data sourced from SAP IBP or APO, making it easy to assess the implications of shifting priorities and varying demand mixes through quick scenario analyses. Its fast and user-friendly interface allows users to set and modify priorities and evaluate different outcomes. Ultimately, you can finalize the sequence that aligns best with your goals, driving efficiency in changeovers and boosting output without losing agility. This innovative approach not only streamlines operations but also empowers teams to adapt swiftly to changing market conditions.
Description
Qwen3.8-Flash-Next represents an open-weight multimodal Mixture-of-Experts architecture and serves as an initial glimpse into the design intended for Qwen4. This model strategically enhances attention mechanisms, residual pathways, embeddings, and optimization techniques to boost its capabilities, improve computational efficiency, expand model capacity, and ensure training stability. Its innovative hybrid architecture merges Gated DeltaNet, which adeptly compresses past information, with Qwen Sparse Attention, enabling the selection of significant context at a micro-block level to lessen both attention and indexing costs associated with lengthy sequences. The Gated Residual feature broadens the residual pathway into four streams, dynamically managing the flow of information across different layers. Additionally, the N-gram Embedding integrates large-scale local-pattern memory with minimal added computation per token, and it can be transferred to host memory for further efficiency. The model is structured around a 125B-parameter main network supplemented by 51B parameters dedicated to N-gram embeddings, activating only 6B parameters for each token processed. This sophisticated framework highlights the ongoing advancements in machine learning architectures, setting a promising stage for future developments.
API Access
Has API
API Access
Has API
Integrations
Alibaba Cloud
Alibaba Cloud Model Studio
Cherry Studio
Cline
Happy Shrimp 1.0
Hermes Agent
Hugging Face
Model Context Protocol (MCP)
ModelScope
Novita AI
Integrations
Alibaba Cloud
Alibaba Cloud Model Studio
Cherry Studio
Cline
Happy Shrimp 1.0
Hermes Agent
Hugging Face
Model Context Protocol (MCP)
ModelScope
Novita AI
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$2 per 1M (input)
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
AltViz
Founded
2013
Country
United Kingdom
Website
altviz.co
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwen.ai/blog
Product Features
Business Process Management
Access Controls / Permissions
Alerts / Notifications
Business Process Automation
Business Rules Management
Collaboration
Process Change Tracking
Process Mapping
Process Modeling & Design
Visual Workflow Management