KNIME, one of the leading open-source data science and AI companies, has raised additional funding from its longstanding investor Invus. Since the last announcement, Invus invested another $30M, bringing total funding to $50M. This will allow KNIME, as the only open-source, low-code data science company on the market, to double down on development of its enterprise-grade AI governance and ModelOps capabilities, while continuing to stay ahead of the rapid innovation in the field.
Data Science and AI Company KNIME Secures Investment to Accelerate Adoption of Enterprise-Grade AI Governance and ModelOps
August 6, 2024 by Leave a Comment
Boomi, Connor Group, and a Cohort of Academic Researchers Collaborate to Deliver Enterprise Risk Framework for Generative AI
June 25, 2024 by Leave a Comment
Boomi™, the intelligent integration and automation leader, along with Connor Group, a leading specialized professional services firm, in association with professors David Wood (Brigham Young University Marriott School), Scott Emett (Arizona State University W.P. Carey School of Business), and Marc Eulerich (University of Duisberg-Essen) Mercator School of Management), announced the Enterprise GenAI Governance Framework — the first-ever enterprise risk framework for generative artificial intelligence (GenAI).
The Need for Transparency and Explainability in EU AI Regulation
January 9, 2024 by Leave a Comment
In this contributed article, Anita Schjøll Abildgaard, CEO and Co-Founder of Iris.ai, believes that while legislators work towards governance that enables appropriate, effective oversight without stifling innovation, organizations working on AI technology have a responsibility for ethical development.
With an emphasis on transparency and explainability, companies can ensure AI technology offers the most benefit to the most people.
Navigating Data Lake Challenges: Governance, Security, and GDPR Compliance
September 7, 2023 by 1 Comment
In this contributed article, Coral Trivedi, Product Manager at Fivetran, discusses how enterprises can get the most value from a data lake. The article discusses automation, security, pipelines and GSPR compliance issues.
Research Reveals Hidden Data Integration and Governance Challenges
May 1, 2023 by Leave a Comment
StreamSets, a Software AG company, unveiled two reports highlighting the need for modern data integration: “Creating Order from Chaos: Governance in the Data Wild West,” and “Lifting the Lid on the Hidden Data Integration Problem.” This new research shows a widespread lack of data processes and policies among organizations, rising demand for data, and why many organizations fail to use the data at their disposal.
2023 Trends in Data Governance
December 5, 2022 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper offers his perspectives around 2023 trends for data governance. The valuation of data governance, both to the enterprise and to data management as a whole, is evinced in two of the most discernable trends to shape this discipline in 2023.
ACM Global Technology Policy Council Releases Joint Statement on Principles for Responsible Algorithmic Systems by US and Europe Policy Committees
November 5, 2022 by Leave a Comment
The Association for Computing Machinery’s global Technology Policy Council (TPC) has released a new Statement on Principles for Responsible Algorithmic Systems authored jointly by its US (USTPC) and Europe Technology Policy Committees (Europe TPC). Recognizing that algorithmic systems are increasingly used by governments and companies to make or recommend decisions that have far-reaching effects on individuals, organizations and society, the ACM Statement lays out nine instrumental principles intended to foster fair, accurate, and beneficial algorithmic decision-making.
The Conceptual Data Model’s Unwavering Role in Data Governance
August 5, 2022 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper highlights how in an age in which data governance has become all but synonymous with data privacy and data protection, there are numerous aspects of data management that are regarded much differently than how they traditionally were. Data modeling, for example, is frequently considered a dimension of data engineering or data science.
The Metamorphosis of Data Governance: What it Means Today
May 16, 2022 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper highlights how despite changing definitions, a more profound—and deceptively subtle—transformation has almost silently wrought data governance into something markedly different than what it was as little as even five years ago.
Monitaur Launches GovernML to Guide and Assure Entire AI Life Cycle
April 5, 2022 by Leave a Comment
Monitaur, an AI governance software company, announced the general availability of GovernML, the latest addition to its ML Assurance platform, designed for enterprises committed to responsible AI. Offered as a web-based, SaaS application, GovernML enables enterprises to establish and maintain a system of record of model governance policies, ethical practices, and model risk across their entire AI portfolio.
