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What is Obviously AI?

Embark on a comprehensive journey of crafting machine learning algorithms and predicting outcomes with remarkable ease in just one click. It's important to recognize that not every dataset is ideal for machine learning applications; utilize the Data Dialog to seamlessly enhance your data without the need for tedious file edits. Share your prediction reports effortlessly with your team or opt for public access, enabling anyone to interact with your model and produce their own forecasts. Through our intuitive low-code API, you can incorporate dynamic ML predictions directly into your applications. Evaluate important metrics such as willingness to pay, assess potential leads, and conduct various analyses in real-time. Obviously AI provides cutting-edge algorithms while ensuring high performance throughout the process. Accurately project revenue, optimize supply chain management, and customize marketing strategies according to specific consumer needs. With a simple CSV upload or a swift integration with your preferred data sources, you can easily choose your prediction column from a user-friendly dropdown and observe as the AI is automatically built for you. Furthermore, benefit from beautifully designed visual representations of predicted results, pinpoint key influencers, and delve into "what-if" scenarios to gain insights into possible future outcomes. This revolutionary approach not only enhances your data interaction but also elevates the standard for predictive analytics in your organization.

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.

Media

Media

Integrations Supported

Amazon Redshift
Dropbox
Google Analytics
Google Cloud BigQuery
Google Drive
HubSpot Customer Platform
IBM Aspera
IBM Cloud
IBM Cloud Pak for Watson AIOps
IBM Cloudant
IBM Db2
IBM Watson Language Translator
Kaggle
Mode
Nocode HQ
SQL Server
Salesforce
Shopify
Tableau
Zapier

Integrations Supported

Amazon Redshift
Dropbox
Google Analytics
Google Cloud BigQuery
Google Drive
HubSpot Customer Platform
IBM Aspera
IBM Cloud
IBM Cloud Pak for Watson AIOps
IBM Cloudant
IBM Db2
IBM Watson Language Translator
Kaggle
Mode
Nocode HQ
SQL Server
Salesforce
Shopify
Tableau
Zapier

API Availability

Has API

API Availability

Has API

Pricing Information

$75 per month
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

Obviously AI

Date Founded

2019

Company Location

United States

Company Website

www.obviously.ai/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/watson-studio

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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

No-Code Development

AI-Assisted Development
Business Process Automation
Collaborative Development
Data Aggregation and Publishing
Deployment Management
Drag & Drop
Integrations Management
Iteration Management
Performance Monitoring
Requirements Management
Templates
Visual Modeling
Web / Mobile App Development
Workflow Management

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

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