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What is IBM Data Refinery?

The data refinery tool, available via IBM Watson® Studio and Watson™ Knowledge Catalog, significantly accelerates the data preparation process by rapidly transforming vast amounts of raw data into high-quality, usable information ideal for analytics. It empowers users to interactively discover, clean, and modify their data through more than 100 pre-built operations, eliminating the need for any coding skills. Various integrated charts, graphs, and statistical tools provide insights into the quality and distribution of the data. The tool automatically recognizes data types and applies relevant business classifications to ensure both accuracy and applicability. Additionally, it facilitates easy access to and exploration of data from numerous sources, whether hosted on-premises or in the cloud. Data governance policies formulated by experts are seamlessly enforced within the tool, contributing to an enhanced level of compliance. Users can also schedule executions of data flows for reliable outcomes, allowing them to monitor these flows while receiving prompt notifications. Moreover, the solution supports effortless scaling through Apache Spark, which enables transformation recipes to be utilized across entire datasets without the hassle of managing Apache Spark clusters. This powerful feature not only boosts efficiency but also enhances the overall effectiveness of data processing, proving to be an invaluable resource for organizations aiming to elevate their data analytics capabilities. Ultimately, this tool represents a significant advancement in streamlining data workflows for businesses.

What is EquBot?

EquBot AI, in partnership with Watson, empowers asset managers to navigate the swift growth of data by providing explainable, customized AI-driven portfolios as a service (PaaS), along with various indexes and signals. Through the integration of EquBot AI and Watson, insurance firms and diverse asset holders can transform raw data into improved investment outcomes via these adaptable AI solutions. By harnessing the capabilities of EquBot’s pioneering PaaS, indexes, and signals, investors are equipped to not only comprehend the intricacies of the data environment but also thrive within it. This dynamic alliance facilitates the creation, oversight, and modification of client portfolios, ensuring they remain in sync with individual financial goals. Moreover, retail investors have the opportunity to leverage EquBot AI alongside Watson to innovate their investment tactics through AI-Powered ETFs, enabling them to make knowledgeable choices that yield better results. With these sophisticated resources, both institutional and individual investors are poised to secure a significant advantage in an increasingly data-centric marketplace, transforming the way they approach their financial endeavors. In this rapidly evolving landscape, the synergy between technology and investing sets a new standard for success.

Media

Media

Integrations Supported

IBM Watson
Apache Spark
IBM Cloud
IBM Cloud Pak for Watson AIOps
IBM Watson Discovery
IBM Watson Language Translator
IBM Watson Recruitment
IBM watsonx Assistant

Integrations Supported

IBM Watson

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Not specified

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/data-refinery

Company Facts

Organization Name

EquBot

Date Founded

2017

Company Location

United States

Company Website

equbot.com

Categories and Features

Data Preparation

Not specified

Categories and Features

AI Trading Bots

Not specified

Investment Management

Not specified

Stock Trading Bots

Not specified

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