Top AI Governance Platforms for 2024: Ethical and Responsible AI for Your Business

 AI governance tools are software or platforms that help organizations manage and regulate the development, deployment, and use of artificial intelligence (AI) systems. By supporting disciplined AI governance, these tools provide features and functionalities that help organizations implement ethical and responsible AI practices – and create competitive advantage.

We analyzed the best AI governance platform for different teams and organizations, which help you determine the best platform for your business.

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What is AI governance?

The legal framework required for artificial intelligence (AI) and machine learning (ML) technologies to be researched and developed in a way that supports organizations’ global adoption of such systems morally and responsibly is known as artificial intelligence governance. Therefore, bridging the ethical and accountability gaps in AI development and use is the aim of the AI governance framework.

Growing concern over the development of Artificial Intelligence (AI) has led to increased adoption of AI governance frameworks.

Top AI Governance Platforms

Ataccama One

As its name suggests, Ataccama One unifies data governance, quality, MDM, and other services into a single platform, aiming to be a one-stop shop for all an organization’s data management and governance needs. The AI-driven software is intended for usage by data professionals, such as data governance teams, data stewards, data scientists, other data analysts, and data engineers. It operates in on-premises, cloud, and hybrid settings.

Using a data catalog, data integration tools, reference data management, data observability, and a data narrative module, Ataccama One helps enterprises integrate their efforts in data quality and MDM. With features like role-based security and complete audit history, the solution was designed for use in highly regulated sectors and deployment across whole enterprises.

Apache Atlas

For companies with platforms that handle a lot of data, Apache Atlas is an open-source application that offers a basic set of metadata management and data governance features. Although its primary application is in Hadoop clusters, it can also communicate metadata with other tools and processes to facilitate integration for analytics applications with other systems.

Hortonworks, a big data platform company that was bought by rival Cloudera in 2019, first created Atlas with cooperation from numerous user groups; the software was turned over to the Apache Software Foundation for continued development in 2015. Organizations may use Atlas to organize, categorize, and manage their data assets. They can also provide data scientists and other analysts, as well as their data governance team, access to collaborative tools.

Axon Data Governance

Informatica promotes Axon Data Governance as a solution that can assist businesses in providing end users and data stewards with reliable data at an enterprise level. The platform leverages AI-driven automation to help stewards with data discovery, data quality evaluation, and communication. Informatica acquired it in 2017 when it bought the original creator Diaku. It also enables governance teams to create curated data marketplaces to help business and analytics users find, access, and understand data.

Data governance teams can also use the Axon tool to develop a common data dictionary, define connections between data elements, identify gaps in data sets, and link governance policies to the data they affect. Furthermore, it is possible to generate end-to-end business processes that offer graphical representations of data lineage.

Erwin Data Intelligence

Admirers of the renowned literary investigator Sherlock Holmes are aware of his extraordinary perceptual and awareness abilities. Quest Software promises similar capabilities with Erwin Data Intelligence, its enterprise data governance tool. The technology “provides data awareness, capability and knowledge to drive data governance and business enablement” in enterprises, according to the company’s statement.

Formally known as Erwin Data Intelligence by Quest, the software combines separate Erwin data catalogs, data literacy, and data quality products in an integrated suite. With governance controls to guarantee that users adhere to internal data rules and best practices, it’s intended to assist IT and data governance teams in making accessible data assets more apparent to end users and provide guidance on their usage. It is possible to create role-based views that provide relevant context for pertinent data for various user groups.

SAS Information Governance

Software vendor SAS Institute hopes to help business and analytics users spend more time analyzing data and less time searching for and assessing data with its SAS Information Governance tool. It also empowers data managers and governance teams to ensure the use and security of data assets. The AI governance platform is offered for sale both independently and as an optional add-on or standard component of several SAS analytics solutions.

The program can automatically crawl data sources, categorize data, and locate sensitive information. It also comes with a data catalog. End users may locate pertinent data, reports, and other analytics assets by searching the metadata in the catalog. The search results include details on use metrics, data quality, and other topics to assist users in determining if the data they have found is appropriate for their analytics requirements.

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How to Choose the Best AI Governance Platform for Your Business?

The ideal AI governance software for your organization depends on several criteria. While some systems are excellent for enforcing privacy laws about data and AI, others work well for establishing compliance benchmarks, moral standards, or risk assessments.

Look for software with features like data governance, model management, compliance automation, and monitoring capabilities while searching for the best AI governance solution. Depending on the nature of your business, you may need industry-specific AI governance software tailored to meet your sector’s unique requirements.

According to the AI Governance Platforms Market Share, 2023, Worldwide report, or rapidly growing organizations, the major challenge with AI Governance Platforms is their ability to manage and cater to the growing skilled talent need of the organization.

The Market Forecast: AI Governance Platforms, 2024-2028, Worldwide report projects continued expansion of the market. These insights, combined with the detailed evaluations provided by the Quadrant Knowledge Solutions report, equip businesses with the knowledge to make informed decisions, ensuring they select a platform that not only meets their current needs but also supports their growth and adaptation in a rapidly evolving market landscape. 

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Conclusion

Artificial intelligence (AI) governance is essential to ensuring the ethical and responsible usage of AI as more and more companies in many industries integrate AI solutions into their workflows.

AI may easily lead to biased judgments, privacy violations, and other unforeseen repercussions if allowed to run helter-skelter. As a result, your company’s AI plan should include AI governance tools as a core component, not an afterthought.