Relyance AI, a leading AI-powered data governance platform that provides complete visibility and control over enterprise-wide data, announced a $32.1 million Series B funding round to scale operations and meet the needs of the exploding use of artificial intelligence in the enterprise.
Relyance AI Raises $32 Million Series B Funding to Safeguard AI Innovation in the Enterprise
October 14, 2024 by
Alation Unveils AI Governance Solution to Power Safe and Reliable AI for Enterprises
October 12, 2024 by
Alation Inc., the data intelligence company, launched its AI Governance solution to help organizations realize value from their data and AI initiatives. The solution ensures that AI models are developed using secure, compliant, and well-documented data. With capabilities such as lineage for AI auditability, AI documentation, data discovery and custom tagging, and data quality flags, organizations can confidently accelerate AI development, mitigate risks, and optimize their AI investments for business impact.
Domino Data Lab Transforms AI Governance from Innovation Tax into Value Driver
October 8, 2024 by
Domino Data Lab, provider of the leading Enterprise AI Platform trusted by the largest AI-driven companies, today announced Domino Governance, a new solution for mitigating AI’s risks while accelerating its rewards. Its unique approach automatically orchestrates the fully governed model lifecycle.
New Study: 95% of Enterprises Need to Upgrade their Governance for GenAI Workloads
September 5, 2024 by
IDC predicts that enterprises are poised to double their 2023 investments in GenAI from $19 billion to $151 billion by 2027. But where are enterprises today on their AI maturity journey? Do they have enough backing from the board? Do they have enough compute? Do they have everything they need to build AI responsibly and safely? And do they have actual AI projects in production with a clear path to ROI?
RAND AI Governance Series: How U.S. policymakers can learn from the EU AI Act
August 24, 2024 by
RAND kicked off a new series of short reports designed to provide policymakers in the U.S. with potential learnings from the EU AI act on key facets of AI governance. The series, written by researchers on both continents, highlights the need for deepening collaboration between the EU and the U.S. as any regulatory progress in these regions will have far-reaching effects on the broader societal, legal and ethical consequences of AI adoption globally.
New Report – 66% of Data Leaders Want More Governance and Enhanced Security
August 19, 2024 by
Informatica recently published a global report highlighting what senior-level data leaders need for a modern and competitive data architecture. A staggering 86% cite the need for improved data management, efficiency and operational costs as core decision drivers. Scaling AI at the enterprise level requires data management systems to process massive amounts of data accurately.
Data Science and AI Company KNIME Secures Investment to Accelerate Adoption of Enterprise-Grade AI Governance and ModelOps
August 6, 2024 by
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.
Boomi, Connor Group, and a Cohort of Academic Researchers Collaborate to Deliver Enterprise Risk Framework for Generative AI
June 25, 2024 by
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
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
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.
