From MIT's AI analysis to ILTACON 2025 highlights, this roundup explores how cybersecurity, legal tech, and discovery professionals are shifting from AI hype to real-world governance, risk control, and operational resilience. The post Five Great Reads on Cyber, Data, and Legal Discovery for August 2025 appeared first on EDRM.| EDRM
AI governance should empower, not obstruct. Jesse McCrosky explains how good governance guides innovation, aligns with ethics, and supports real transparency. The post Responsible AI Isn’t a Barrier to Innovation—it’s a Framework for Better Design | Jesse McCrosky appeared first on TFiR.| TFiR
A new report from MIT estimates 95% of AI projects will fail. That’s staggering. Corporate GenAI pilots are failing to deliver significant revenue growth or measurable impact. The primary issues are not the quality of AI models, but a “learning gap” and flawed enterprise integration. Recent findings from the SAS [...] Dodge the collision of lofty AI vision and failed integration was published on SAS Voices by Manisha Khanna| SAS Voices
From Microsoft's DocumentDB joining the Linux Foundation to sophisticated API attack detection, the companies building sustainable AI are those investing in infrastructure independence, not just algorithmic advancement.| TFiR
The recent Survey on Artificial Intelligence in the Banking Sector, by the CBK, provides an honest and sobering account of... Source| CIO Africa
Non-human identities (NHIs) are front and center Throughout the conferences I’ve attended, and those I had the privilege to present in 2024 ...| www.idmig.org
On the surface, AI seems woven into modern marketing. Pilot programs are evolving into real workflows. AI tools are being deployed for a variety of tasks. Teams are becoming more fluent in GenAI, automation, and orchestration. But underneath it all, the foundation is often still rocky. Insufficient infrastructure, skill shortages, and a lack of clear [...]| IDC Blog
Generative AI accelerates software delivery but also reintroduces vulnerabilities, making secure coding practices, oversight, and developer training essential for safe adoption.| DevOps.com
Ensure your financial services APIs are AI-ready. This checklist covers 7 crucial factors: API security, observability, data quality, documentation, access controls, real-time capabilities, and future extensibility.| Tyk API Management
Balancing AI Strategy With Human Wisdom “AI-first” has become a buzzword in executive conversations, but what does it really mean? Is it about using artificial intelligence at every turn, or applying it with intention and purpose? For analyst and researcher Susan Etlinger, it’s clearly the latter. On the latest episode of “What If? So What?”, […]| Perficient Blogs
In “Outside the Box,” I interrogate AI chatbots to better understand both the productive and deceptive ways in which they “reason.”| Fair Observer
So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on YouTube Live. Be sure to subscribe and follow so you never miss an episode! In this episode of So What? The Trust Insights weekly livestream, you’ll learn how to leverage Generative AI for web design to rapidly improve [...]Read More... from So What? Summer Makeover Series: Generative AI for Web Design| Trust Insights Marketing Analytics Consulting
Every organization collects data, but collecting it isn’t enough. For companies that want to make personalized offers, detect fraud and optimize supply chains, decision-making is the ultimate measure of analytics success. But despite massive investments in data infrastructure and AI, many companies still struggle to bridge the gap between insight and action. That’s [...] What’s in a decision?: Four components needed to operationalize your analytics was published on SAS Voices by Albe...| SAS Voices
Heather Kuhn shares how to scale global privacy using AI, data mapping, training, and collaboration without slowing business. The post How to Build a Global Privacy Program That Enables Growth appeared first on Red Clover Advisors.| Red Clover Advisors
Jodi and Justin Daniels speak with Nick Oldham, Chief Operations Officer, USIS, and Global Chief Risk, Privacy and Compliance Officer at Equifax, about the role of human training in AI literacy.| Red Clover Advisors
Learn about the of IBM Watsonx.governance for AI management, including risk reduction and compliance. Find out why enterprises rely on it.| Govindhtech
Article Link: https://www.stpaul.gov/news/saint-paul-city-council-extends-local-state-emergency-respond-digital-security-incident| Project Hyphae
The role of the Chief Marketing Officer (CMO) is evolving rapidly, driven largely by the transformative power of artificial intelligence (AI). As technology reshapes marketing operations and customer engagement strategies, CMOs are being called upon to redefine their approach and step into new strategic roles. The New Accountability of CMOs Today, CMOs find themselves with [...]| IDC Blog
Discover the enterprise AI value chain: composability, specialist components, open standards, vendors, interfaces, data, and tooling. Drive business efficiency and innovation.| Tyk API Management
Discover 10 practical steps to support responsible AI adoption in your organisation, from governance & data protection to human oversight & regulatory compliance.| Evalian®
Bridge the AI execution gap. Align AI strategy, engage stakeholders, build data literacy & robust API governance for enterprise AI success. Find out how.| Tyk API Management
Most AI failures aren’t model issues—they’re data issues. Learn how grounding and RAG can turn your LLM into a reliable, enterprise-ready system.| Polymer
Discover the best way to integrate AI into your business. Explore building in-house, open-source, or outsourcing models & see how Tyk AI Studio can help.| Tyk API Management
Discover the key enterprise AI challenges, from shadow AI to agentic complexity, and learn practical steps to build resilient, responsible AI systems for maximum return on investment.| Tyk API Management
Creating a Chief AI Officer role is the fastest way to ensure AI never transforms your business. Here’s why centralizing AI ownership creates organizational silos and what distributed AI leadership looks like instead.| LBZ Advisory
INTERVIEW ON THE PRICE OF BUSINESS SHOW, MEDIA PARTNER OF THIS SITE. Recently Kevin Price, Host of...| The Daily Blaze
With the majority of obligations for general-purpose AI (GPAI) models set to take effect on 2 August 2025 (AI Act, Chapter V, Art. 53), the European Commission has published the long-awaited GPAI Code of Practice on 10 July 2025. The document—developed by independent experts—serves as voluntary guidance to help GPAI providers prepare for compliance under the EU AI Act. It focuses on three key areas: Copyright, Transparency, and Safety & Security. L’article European Commission...| MIAI
On 8 May 2025, the Danish Parliament adopted a bill aimed at introducing additional provisions for the regulation of artificial intelligence in Denmark, in accordance with the EU AI Act. The text lays down the designation of national competent authorities and the penalties for violations of the EU AI Act, the law as well as related national legislation and implementing acts. L’article EU AI Act Implementation: Denmark Published Its National Law [1/27] est apparu en premier sur MIAI.| MIAI
In a decisive move early on July 1, the U.S. Senate voted 99–1 to pass an amended version of the One Big Beautiful Bill (OBBBA), stripping out a controversial provision that would have blocked state-level regulation of artificial intelligence. The amendment, introduced by Sen. Marsha Blackburn (R-TN), eliminated a proposed 10-year moratorium that had tied state compliance to access to federal funds. L’article Senate Passes OBBBA Without AI Moratorium, Preserving State Authority est apparu...| MIAI
The French data protection authority (CNIL) published two new practical fact sheets designed to help actors developing AI systems to comply with the GDPR. The CNIL shares its recommendations on the use of legitimate interest as a legal basis for the development of AI systems and focuses on the collection of data through web scraping. L’article AI & GDPR: CNIL’s New Recommendations! est apparu en premier sur MIAI.| MIAI
This analysis explores the EU AI Continent Action Plan’s approach to implementing the AI Act within a complex multi-level governance system. The paper assesses how simplification efforts can influence consistency, legal clarity, and the broader goal of establishing Europe as a global AI leader. L’article EU AI Continent Plan: Balancing Complexity and AI Act Simplification est apparu en premier sur MIAI.| MIAI
This article examines the intersection of biometric data and facial recognition in the EU, highlighting the legal and cybersecurity frameworks that shape their use. Drawing on GDPR requirements and current debates on ethical deployment, it explores how EU regulations seek to balance innovation with the protection of privacy and fundamental rights. L’article Biometric Data and Facial Recognition Technology in the EU est apparu en premier sur MIAI.| MIAI
Governments face significant barriers to AI procurement due to the complexity of EU AI law and a lack of clear implementation guidance. Key challenges include definitional ambiguity around AI and a significant knowledge gap between public procurers and AI vendors. Data quality and technology infrastructure issues are also hampering the effective use of AI. The article highlights the critical need for clearer, practical guidance at both EU and national level to ensure compliant AI procurement....| MIAI
Explore the pressing challenges at the intersection of military AI and international humanitarian law. Discover why current regulations may not be sufficient to address the unpredictable nature of AI-powered weapons, and the critical need for adaptive legal review to ensure the protection of civilians in an era of increasing autonomy in warfare. L’article The Challenges of AI-Enabled LAWS for Adaptive Legal Reviews est apparu en premier sur MIAI.| MIAI
The definition of systemic risk in Article 3(65) of the EU AI Act presents challenges of interpretation due to potential ambiguities. This working paper analyses these ambiguities and how the GPAI Code of Practice attempts to categorise these risks through a taxonomy. A key concern is the potential for exploitation of these systemic risk definitions by GPAI model providers. L’article Fitting “Systemic Risks” into a Taxonomy in the EU CoP for GPAI models est apparu en premier sur MIAI.| MIAI
If you’ve been anywhere near a data team, you already know the existential crisis happening right now. Here are just a few questions data leaders and our partners have shared with us: These were the big questions tackled in this year’s Great Data Debate, where a powerhouse panel of data and AI leaders dove deep [...] The post Data Governance in the AI Era: 3 Big Problems and How to Solve Them appeared first on Atlan | Humans of Data.| Atlan | Humans of Data
Gartner just released its first-ever Magic Quadrant for Data and Analytics Governance Platforms, marking a pivotal shift in how organizations think about governance. And here’s the exciting part—Atlan has been recognized as a Visionary in this inaugural report. This moment underscores a fundamental reality: For years, governance has been a patchwork of disconnected systems—one for [...] The post Convergence, Consumerization, and AI: Unpacking the Top Trends from Gartner’s Data Governa...| Atlan | Humans of Data
Why Layoffs Increase Cybersecurity Risks Article Link: https://www.helpnetsecurity.com/2025/05/26/layoffs-cybersecurity-risks/ The CISO’s Dilemma: Balancing Access, Security, and Operational Continuity Article Link: https://www.forbes.com/councils/forbestechcouncil/2025/05/27/the-cisos-dilemma-balancing-access-security-and-operational-continuity/ Massive Data Breach Exposes 184 million Passwords for Google, Microsoft, Facebook, and More Article Link: https://www.zdnet.com/article/massive-da...| Project Hyphae
The first wave of the EU AI Act’s requirements came into force on 2 February 2025, namely: Prohibited AI: the ban on the use and distribution of prohibited AI systems, and AI Literacy: the requirement to ensure staff using and operating AI possess sufficient AI literacy. All businesses caught by the EU AI Act’s jurisdictional [...]| Debevoise Data Blog
The EU AI Act (the “Act”) has made it through the EU’s legislative process and has passed into law today; it will come into effect on 2 August 2024. Most of the substantive requirements will come into force two years later, from 2 August 2026, with the main exception being “Prohibited” AI systems, which will be [...]| Debevoise Data Blog
Portland is testing a machine learning algorithm for water bill pricing that promises both affordability and higher revenues. Here's the first in-depth analysis of the program and the tech behind it.|
A yearlong partnership between Utah and the Aspen Institute aims to boost the fairness, transparency and accountability of the state's AI systems.| StateScoop
OpenAI's decision to maintain nonprofit oversight impacts its deep ties with Microsoft, which is reportedly negotiating how the new structure affects its $13.75B investment.| WinBuzzer
New research from KPMG shows a majority of workers conceal AI usage, often bypassing policies and making errors, highlighting urgent governance needs.| WinBuzzer
China will likely match U.S. AI model capabilities this year, triggering inevitable concerns about America's technological edge. However, this snapshot comparison misses the bigger picture.| Blog - Lennart Heim
Legal leaders who demonstrate a desire to invest in the next wave of AI-trained legal professionals will undoubtedly set themselves apart.| Thomson Reuters Institute
Some claim that if the US controls AI chips, countries will immediately turn to China to backfill. Critics rightly identify this as a crucial consideration—but I don't think it's an immediate and strong threat.| Blog - Lennart Heim
Huawei's next AI accelerator—the Ascend 910C—is entering production. It's China's best AI chip.| Blog - Lennart Heim
In a new perspective, I explain and analyze the AI Diffusion Framework—what it does, how it works, its rationale, why it was needed, why China can't easily fill the void, and some thoughts on model weight controls.| Blog - Lennart Heim
The EU’s AI Act is now in effect, enforcing strict bans on manipulative AI, social scoring, and biometric surveillance. Learn how these sweeping regulations are reshaping AI governance worldwide.| ComplexDiscovery
Strict guidelines on AI risk levels take hold across Europe, barring controversial applications and imposing steep fines for violations| WinBuzzer
TLDR: timing is political but tech is real, compute constraints bite differently than you think, and the story is more complex than "export controls failed."| Blog - Lennart Heim
Copyleaks CEO discusses the evolution of generative AI in 2025, its impact across industries, key trends, challenges, and prospects.| Copyleaks
AI benefit sharing covers a spectrum of options, from participating in the semiconductor supply chain to accessing end products of AI research, with intermediate stages like providing structured access to AI models.| Blog - Lennart Heim
GPT-o1 demonstrates how leveraging more compute at inference time can enhance AI reasoning capabilities. While this development is incremental rather than revolutionary, it underscores the growing importance of inference compute in AI impacts and governance.| Blog - Lennart Heim
Satellite imagery of data centers provides limited immediate value for AI-specific insights due to several challenges. Continuous monitoring and cross-correlation with other sources may improve insights, but AI-specific information will likely remain limited.| Blog - Lennart Heim
Navigating the AI-Driven Energy Revolution: The Board's Critical Role. How Strategic Governance and Human Oversight Drive Innovation and Sustainability in the Energy Sector: Insights from Scott Eversman.| 1BusinessWorld
The data landscape has evolved and become more complex as organizations recognize the need to leverage data and analytics. Generative artificial intelligence has further put pressure on organizatio…| Data Management Blog - Data Integration and Modern Data Management Articles, ...
Regulators in the US and EU are using training compute thresholds to identify general-purpose AI models that may pose risks. But why are they using them if training compute is only a crude proxy of risk?| Blog - Lennart Heim
To verify and evaluate frontier AI systems, full access to internals might be needed, raising security concerns. A government-run Trusted AI Compute Cluster could provide a secure solution.| Blog - Lennart Heim
Compute providers can play an essential role in a regulatory ecosystem via four key capacities: as securers, safeguarding AI systems and critical infrastructure; as record keepers, enhancing visibility for policymakers; as verifiers of customer activities, ensuring oversight; and as enforcers, ...| Blog - Lennart Heim
To address security and safety risks stemming from highly capable artificial intelligence (AI) models, we propose that the US government should ensure compute providers implement Know-Your-Customer (KYC) schemes.| Blog - Lennart Heim
I think the current enthusiasm for hardware-enabled mechanisms in AI chips, often also described as on-chip mechanisms, should be tempered. It is critical to be clear about the specific benefits hardware-enabled mechanisms provide, ...| Blog - Lennart Heim
Compute plays a significant role in AI development and deployment. However, many arguments contest its importance, suggesting that the governance capacity that compute enables can change.| Blog - Lennart Heim
Governance of AI, much like its development and deployment, demands a deep technical understanding.| Blog - Lennart Heim
In this post, we try to estimate what fraction of all chips were high-end data center AI chips in 2022. When discussing compute governance measures for AI regulation, it is crucial to precisely define the scope of any such measures to prevent regulatory overreach and counterproductive side effects.| Blog - Lennart Heim
In this talk, I present the idea of using computational resources (short compute) as a node for AI governance. First, I will start by talking about recent events in compute and AI and how they relate to compute governance.| Blog - Lennart Heim
The current progress in increased compute spending, driven by the training of frontier AI systems, is not sustainable as it currently outpaces the reduction in compute price performance.| Blog - Lennart Heim
How much did Google's 530B parameter model PaLM's training cost? Something around $9M to $23M.| Blog - Lennart Heim