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features
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support

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Description

Create, execute, and oversee AI models while enhancing decision-making at scale across any cloud infrastructure. IBM Watson Studio enables you to implement AI seamlessly anywhere as part of the IBM Cloud Pak® for Data, which is the comprehensive data and AI platform from IBM. Collaborate across teams, streamline the management of the AI lifecycle, and hasten the realization of value with a versatile multicloud framework. You can automate the AI lifecycles using ModelOps pipelines and expedite data science development through AutoAI. Whether preparing or constructing models, you have the option to do so visually or programmatically. Deploying and operating models is made simple with one-click integration. Additionally, promote responsible AI governance by ensuring your models are fair and explainable to strengthen business strategies. Leverage open-source frameworks such as PyTorch, TensorFlow, and scikit-learn to enhance your projects. Consolidate development tools, including leading IDEs, Jupyter notebooks, JupyterLab, and command-line interfaces, along with programming languages like Python, R, and Scala. Through the automation of AI lifecycle management, IBM Watson Studio empowers you to build and scale AI solutions with an emphasis on trust and transparency, ultimately leading to improved organizational performance and innovation.

Description

Enhancing model performance and conducting scenario analyses through simulations with historical datasets is essential for progress. Collaboration is streamlined across data governance, access management, and version control. With Ikigai's ready-to-use integrations, you can effortlessly incorporate a wide range of tools that fit seamlessly into your existing workflows. Ikigai offers over 200 connectors, allowing you to connect to virtually any data source you can imagine. If you're looking to deploy your machine learning pipeline to a website or dashboard, Ikigai’s web integrations make that process straightforward. Utilize triggers to initiate data synchronizations and obtain updates every time you execute a data automation flow. In addition, you can connect to your own APIs or develop new ones for your data stack, ensuring a smooth integration with Ikigai. This flexibility empowers teams to adapt quickly to changing data landscapes and leverage insights effectively.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

IBM Db2 Yes 
Amplitude No 
Braintree No 
Branch No 
Criteo No 
IBM Aspera Yes 
Intercom No 
Jira No 
LinkedIn Ads No 
MariaDB No 
Medallia No 
MySQL No 
Oracle Cloud CX No 
Oracle PeopleSoft No 
Plaid No 
Qualtrics Strategy & Research No 
Snowplow Analytics No 
Twilio No 
Xero No 
Zendesk No 

Integrations

IBM Db2 Yes 
Amplitude Yes 
Braintree Yes 
Branch Yes 
Criteo Yes 
IBM Aspera No 
Intercom Yes 
Jira Yes 
LinkedIn Ads Yes 
MariaDB Yes 
Medallia Yes 
MySQL Yes 
Oracle Cloud CX Yes 
Oracle PeopleSoft Yes 
Plaid Yes 
Qualtrics Strategy & Research Yes 
Snowplow Analytics Yes 
Twilio Yes 
Xero Yes 
Zendesk Yes 

Pricing Details

No price information available.
Free Trial Yes 
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 Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/watson-studio

Vendor Details

Company Name

Ikigai

Website

www.ikigailabs.io

Product Features

Data Mining

Data Extraction No 
Data Visualization No 
Fraud Detection No 
Linked Data Management No 
Machine Learning No 
Predictive Modeling No 
Semantic Search No 
Statistical Analysis No 
Text Mining No 

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

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 

Predictive Analytics

AI / Machine Learning No 
Benchmarking No 
Data Blending No 
Data Mining No 
Demand Forecasting No 
For Education No 
For Healthcare No 
Modeling & Simulation No 
Sentiment Analysis No 

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Alternatives

Alternatives