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What is Vectice?
It is essential to empower all AI and machine learning efforts within organizations to achieve dependable and constructive results. Data scientists need a robust platform that ensures their experiments are reproducible, allows for easy discovery of all assets, and facilitates efficient knowledge transfer. On the other hand, managers require a tailored data science solution that protects valuable insights, automates the reporting process, and simplifies review mechanisms. Vectice seeks to revolutionize the workflow of data science teams while improving collaboration among team members. The primary goal is to enable a consistent and positive influence of AI and ML across different enterprises. Vectice is launching the first automated knowledge solution that is specifically designed for data science, offering actionable insights and seamless integration with the existing tools that data scientists rely on. This platform captures all assets produced by AI and ML teams—such as datasets, code, notebooks, models, and experiments—while also generating thorough documentation that encompasses everything from business needs to production deployments, ensuring every facet of the workflow is addressed effectively. By adopting this groundbreaking approach, organizations can fully leverage their data science capabilities and achieve impactful outcomes, ultimately driving their success in a competitive landscape. The combination of automation and comprehensive documentation represents a significant advancement in how data science can contribute to business objectives.
What is IBM Watson Studio?
Design, implement, and manage AI models while improving decision-making capabilities across any cloud environment. IBM Watson Studio facilitates the seamless integration of AI solutions as part of the IBM Cloud Pak® for Data, which serves as IBM's all-encompassing platform for data and artificial intelligence. Foster collaboration among teams, simplify the administration of AI lifecycles, and accelerate the extraction of value utilizing a flexible multicloud architecture. You can streamline AI lifecycles through ModelOps pipelines and enhance data science processes with AutoAI. Whether you are preparing data or creating models, you can choose between visual or programmatic methods. The deployment and management of models are made effortless with one-click integration options. Moreover, advocate for ethical AI governance by guaranteeing that your models are transparent and equitable, fortifying your business strategies. Utilize open-source frameworks such as PyTorch, TensorFlow, and scikit-learn to elevate your initiatives. Integrate development tools like prominent IDEs, Jupyter notebooks, JupyterLab, and command-line interfaces alongside programming languages such as Python, R, and Scala. By automating the management of AI lifecycles, IBM Watson Studio empowers you to create and scale AI solutions with a strong focus on trust and transparency, ultimately driving enhanced organizational performance and fostering innovation. This approach not only streamlines processes but also ensures that AI technologies contribute positively to your business objectives.
Integrations Supported
Jupyter Notebook
Amazon S3
GitHub
Google Cloud BigQuery
IBM Aspera
IBM Cloud
IBM Cloudant
IBM DRaaS
IBM Db2
IBM ECM
Integrations Supported
Jupyter Notebook
Amazon S3
GitHub
Google Cloud BigQuery
IBM Aspera
IBM Cloud
IBM Cloudant
IBM DRaaS
IBM Db2
IBM ECM
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
Vectice
Company Website
www.vectice.com
Company Facts
Organization Name
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/cloud/watson-studio
Categories and Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Knowledge Management
Artificial Intelligence (AI)
Cataloging / Categorization
Collaboration
Content Management
Decision Tree
Discussion Boards
Full Text Search
Knowledge Base Management
Self Service Portal
Categories and Features
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis