Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Amazon SageMaker Model Training streamlines the process of training and fine-tuning machine learning (ML) models at scale, significantly cutting down both time and costs while eliminating the need for infrastructure management. Users can leverage top-tier ML compute infrastructure, benefiting from SageMaker’s capability to seamlessly scale from a single GPU to thousands, adapting to demand as necessary. The pay-as-you-go model enables more effective management of training expenses, making it easier to keep costs in check. To accelerate the training of deep learning models, SageMaker’s distributed training libraries can divide extensive models and datasets across multiple AWS GPU instances, while also supporting third-party libraries like DeepSpeed, Horovod, or Megatron for added flexibility. Additionally, you can efficiently allocate system resources by choosing from a diverse range of GPUs and CPUs, including the powerful P4d.24xl instances, which are currently the fastest cloud training options available. With just one click, you can specify data locations and the desired SageMaker instances, simplifying the entire setup process for users. This user-friendly approach makes it accessible for both newcomers and experienced data scientists to maximize their ML training capabilities.
Description
Finance teams cannot trust reports built on data their BI tool never validated. Power BI and OneLake do not enforce primary keys, so duplicate records reach financial statements silently.
Zap Data Hub fixes that at the warehouse layer. It runs on Azure SQL, an ACID-compliant engine with enforced keys, and generates a star schema tuned for accounting structures. Delta processing applies only changed rows instead of reloading whole tables, which cuts both refresh windows and compute spend. A governed semantic layer keeps every consuming tool reading identical definitions.
Sources covered: Sage X3, 100, 300 and Intacct; SAP Business One; Syspro; Dynamics 365 Business Central and Finance & Operations; Dynamics AX and NAV; Wiise; Xero. REST connectors reach further systems.
Shipped as a fully managed cloud service on Microsoft Azure, certified to ISO/IEC 27001:2022.
API Access
Has API
No
API Access
Has API
No
Integrations
Adobe Marketo Engage
No
Amazon SageMaker
Yes
Amazon Web Services (AWS)
Yes
BERT
Yes
CodeGPT
Yes
DALL·E 2
Yes
Google Analytics
No
Hugging Face
Yes
Microsoft Excel
No
Microsoft Power BI
No
Integrations
Adobe Marketo Engage
Yes
Amazon SageMaker
No
Amazon Web Services (AWS)
No
BERT
No
CodeGPT
No
DALL·E 2
No
Google Analytics
Yes
Hugging Face
No
Microsoft Excel
Yes
Microsoft Power BI
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/sagemaker/train/
Vendor Details
Company Name
Zap
Founded
2001
Country
Australia
Website
www.zapbi.com
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Business Intelligence
Ad Hoc Reports
Yes
Benchmarking
No
Budgeting & Forecasting
No
Dashboard
Yes
Data Analysis
Yes
Key Performance Indicators
Yes
Natural Language Generation (NLG)
No
Performance Metrics
Yes
Predictive Analytics
Yes
Profitability Analysis
Yes
Strategic Planning
No
Trend / Problem Indicators
Yes
Visual Analytics
Yes