Amazon SageMaker

Website

aws.amazon.com

Pricing URL

-

$ Details

-

Platforms

-

Release Date

-

Categories

#Data Science And Machine Learning #Data Dashboard #Office & Productivity #Data Science Tools

CobbleStone Software

Website

cobblestonesoftware.com

Pricing URL

Official CobbleStone Software Pricing

$ Details

freemium $59.0 / Monthly (Unlimited contract storage)

Platforms

Windows Browser Android iOS Google Chrome Firefox Safari REST API Cloud iPhone Internet Explorer Chrome OS Windows Phone AWS .Net Edge Salesforce Azure ASP.NET API Web Mobile

Release Date

2010 August

Categories

#Contracts #Contract Management #Contract Lifecycle Management #Procurement Management #Document Automation #Bidding #eSignature #Document Management #Document Management System

Amazon SageMaker features and specs

• Fully Managed Service
  Amazon SageMaker is a fully managed service that eliminates the heavy lifting involved with setting up and maintaining infrastructure for machine learning. This allows data scientists and developers to focus on building and deploying machine learning models without worrying about underlying servers or infrastructure.
• Scalability
  Amazon SageMaker provides scalable resources that can automatically adjust to the needs of your workload, ensuring that you can handle anything from small-scale experimentation to large-scale production deployments.
• Integrated Development Environment
  SageMaker includes a built-in Jupyter notebook interface, which makes it straightforward for data scientists to write code, visualize data, and run experiments interactively without leaving the platform.
• Support for Popular Machine Learning Frameworks
  SageMaker supports popular frameworks such as TensorFlow, PyTorch, Apache MXNet, and more. It also provides pre-built algorithms that can be used out-of-the-box, offering flexibility in choosing the right tool for your ML tasks.
• Automatic Model Tuning
  SageMaker includes hyperparameter tuning capabilities that automate the process of finding the best set of hyperparameters for your model, thus saving significant time and computational resources.
• Advanced Security Features
  SageMaker integrates with AWS Identity and Access Management (IAM) for fine-grained access control, supports encryption of data at rest and in transit, and complies with various security standards, ensuring that your machine learning projects are secure.
• Cost Management
  With SageMaker, you only pay for what you use. This pay-as-you-go pricing model allows for better cost management and optimization, making it a cost-effective solution for various machine learning workloads.

Possible disadvantages of Amazon SageMaker

• Complexity for New Users
  The plethora of features and options available in SageMaker can be overwhelming for beginners who are new to machine learning or the AWS ecosystem. It might require a steep learning curve to become proficient in using the platform effectively.
• Vendor Lock-In
  Using Amazon SageMaker ties you to the AWS ecosystem, which can be a disadvantage if you want flexibility in switching between different cloud providers. Migrating models and workflows from SageMaker to another platform could be challenging.
• Cost Management Challenges
  While SageMaker offers a pay-as-you-go pricing model, the costs can quickly add up, especially for large-scale or long-running tasks. It may require diligent monitoring and optimization to avoid unexpectedly high bills.
• Resource Limitations
  While SageMaker is highly scalable, there are certain resource limits (like instance types and quotas) that might be restrictive for very high-demand or specialized machine learning tasks. These limits could potentially hinder the flexibility you get from an on-premises or custom deployed solution.
• Integration Complexity
  Integrating SageMaker with other tools and systems within your workflow might require additional development effort. Custom integrations can be complex and could involve additional overhead to set up and maintain.

CobbleStone Software features and specs

• Contract Lifecycle Management
• Contract management
• Contract Analytics
• Workflow Management
• Workflow Automation
• Artificial Intelligence
• Document management
• Document Signing
• Document Storage
• Document generation
• Search Functionality
• Search and Filtering
• Reports & analytics
• Spend Tracking
• Alerts
• Dashboards and Visualizations
• User Permission Management
• Electronic Signature
• Integrations
• OCR PDF
• Optical Character Recognition
• Templates
• Collaboration Tools
• Archiving
• Full Text Search on Form Submissions
• Compliance Management
• Retention Period
• Version Control
• Calendar
• Salesforce Integration
• Office 365 Integration
• Bids and Budgets
• RFP / RFQ portal
• Vendor management
• Supplier Management
• Email notifications
• Email Templates
• Emailing
• Outlook Email Integration
• Word to PDF
• Microsoft Outlook Integration
• Google Docs
• OneDrive integration
• Online Access
• Mobile App
• Mobile apps (iOS & Android)
• Mobile Friendly
• Mobile responsive application
• Robotic Automation
• Playbooks
• Advanced reports and statistics
• Advanced Search
• Advanced Analytics
• Supplier Purchase Orders & Bills
• Messaging
• Risk Management
• Risk Reporting
• Compliance tools
• Milestone, Tasks
• Milestone tracking
• Portal
• Secure Data Storage
• Secure Collaboration

Build, Train and Deploy Machine Learning Models on AWS with Amazon SageMaker - AWS Online Tech Talks

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CobbleStone Contract Management Software CLM

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