Joseph Gordon-Levitt: "Not a punk rock thing" to use artists' work to train AI for free
Actor Joseph Gordon-Levitt said there needs to be an incentive to keep creatives paid and employed as AI disrupts the entertainment business at Axios' AI+ Summit in New York on Wednesday.
The big picture: Even though many tech firms won't say it, their generative AI models have been trained on existing art including movies and books — and controversially without compensation.
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Yahoo
28 minutes ago
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AI Governance Market to Reach USD 36 Billion by 2034, Growing at a 12% CAGR
AI Governance Market Overview 2025-2034 Luton, Bedfordshire, United Kingdom, June 06, 2025 (GLOBE NEWSWIRE) -- As of 2024, the global AI Governance Market stands at a valuation of around $12 billion, fueled by heightened awareness of data ethics, mounting regulatory requirements, and an urgent demand for robust compliance frameworks. This fast-evolving sector is gaining strategic importance across industries, driven by both public and private sector interest in ensuring that artificial intelligence (AI) technologies are developed and deployed responsibly. By 2034, the market is forecast to expand significantly, reaching an estimated $36 billion, reflecting a Compound Annual Growth Rate (CAGR) of approximately 12% over the forecast period. Download PDF Brochure: The growth of this market is being catalyzed by technological progress in AI—especially in machine learning (ML) and natural language processing (NLP)—as well as a growing global consensus that ethical considerations and transparency must be embedded in AI systems. AI governance has transitioned from a niche compliance topic to a central aspect of corporate digital transformation strategies. Market Segmentation and Performance By Product Type The market is segmented into Software, Services, and Hardware. Among these, software solutions dominate the market share, primarily due to their widespread application across compliance, analytics, and risk mitigation functions. These tools allow organizations to monitor AI outputs, ensure regulatory adherence, and manage internal governance policies. Services, particularly those involving audits, consultancy, and system integration, are seeing growing adoption as enterprises seek tailored solutions. Meanwhile, the hardware segment, though currently smaller, is gaining momentum thanks to increased demand for edge computing and the need for secure, localized AI processing infrastructure. By Application Key application areas include Risk Management, Data Privacy, Compliance, Cybersecurity, and Analytics. Among these, data analytics takes the lead, as companies handle vast amounts of unstructured and structured data requiring transparent and ethical handling. The growing complexity of AI applications in financial services, healthcare, and government further boosts demand for governance tools that safeguard sensitive information and prevent misuse. Cybersecurity applications are witnessing a surge, driven by rising threats and a regulatory environment that mandates secure AI deployment. AI systems that make autonomous decisions must be governed to prevent unintended consequences, bias, or exploitation, underscoring the critical role of governance in safeguarding system integrity. By End User Enterprises, Governments, and Small & Medium Enterprises (SMEs) represent the core user base. Large enterprises, with greater resources, currently account for a substantial market share as they lead the way in AI adoption. However, SMEs are increasingly investing in scalable and cost-efficient AI governance solutions to enhance competitiveness and ensure compliance with emerging regulations. Governments, too, are emerging as significant consumers of AI governance technologies. National agencies are implementing AI in public services and are setting examples through ethical standards and regulation-driven deployments. By Deployment & Technology The cloud-based deployment model holds a commanding market share due to its scalability and efficiency. However, hybrid deployments are gaining popularity as organizations seek the security of on-premises models with the flexibility of the cloud. Technologies underpinning governance solutions include Machine Learning, Natural Language Processing (NLP), and Predictive Analytics, all of which enable better control, automation, and explainability of AI models. Browse full Report - Market SegmentationProduct Type - Hardware - Software - ServicesApplication - Application Development - System Integration - Data Analytics - CybersecurityEnd-User Industry - Information Technology - Healthcare - Manufacturing - Retail - Education - FinanceOrganization Size - Small Enterprises - Medium Enterprises - Large EnterprisesDeployment Type - On-Premises - Cloud-Based - HybridGeographic Region - North America - Latin America - Europe - Asia-Pacific - Middle East and Africa Regional Insights Geographically, North America dominates the global AI governance market, with approximately 40% market share in 2024. This is due to the region's technological maturity, strong regulatory frameworks, and concentration of major players such as Microsoft, IBM, and Google. Government support for ethical AI initiatives also drives regional growth. Europe follows with a projected 25% share, supported by GDPR-style privacy regulations and proactive legislative efforts to define ethical AI standards. However, economic disparity between countries within the EU may create uneven growth. The Asia-Pacific region represents a high-growth area, projected to register a CAGR of 8% through 2034. Rapid digitization, government-led innovation programs in countries like China and India, and a young, tech-savvy population contribute to rising demand for governance tools. Despite infrastructural limitations in certain regions, Asia-Pacific is poised to emerge as a major player. Emerging markets like Latin America and the Middle East & Africa (MEA) also present promising growth opportunities, with projected CAGRs of 7% and 9%, respectively. Increased investment in smart infrastructure and AI research, particularly in the Gulf nations, adds to the growth momentum, although regulatory and political hurdles may hamper progress. Market Drivers Several key factors are propelling the AI governance market forward. First and foremost is the rising regulatory pressure globally, with governments working to establish clear frameworks to guide ethical AI deployment. From the European Union's AI Act to regulatory proposals in the United States and Asia, compliance is no longer optional but a necessity. Additionally, technological advancement in AI systems necessitates more sophisticated governance frameworks. As organizations rely on AI for mission-critical tasks, the need to manage risks, explain AI decisions, and ensure accountability becomes paramount. The ongoing digital transformation across industries—from healthcare to finance—also contributes significantly. Organizations are embedding AI into their core operations and simultaneously adopting governance tools to address ethical concerns and reduce liability. Buy Now : Challenges and Restraints Despite rapid growth, the AI governance market faces several challenges. One of the most pressing is the shortage of skilled professionals specializing in AI ethics, legal compliance, and regulatory technology. This talent gap can slow implementation and hinder the adoption of comprehensive governance strategies. Another critical restraint is the lag between technological innovation and regulatory responses. AI capabilities are evolving so rapidly that many governance frameworks quickly become outdated, forcing businesses into a reactive posture. Operational and supply chain constraints, including delays in AI model auditing tools and consulting services, can impede rollout. Moreover, businesses navigating multiple jurisdictions must deal with fragmented and often contradictory legal requirements, increasing compliance complexity and operational costs. Emerging Opportunities and Trends Amid these challenges, new opportunities are emerging. The rise in consumer awareness about data privacy is encouraging organizations to invest in transparent AI practices, creating demand for user-friendly governance tools. Companies that demonstrate ethical responsibility are gaining a competitive edge and building brand trust. Collaborative governance models are also on the rise, with businesses forming partnerships to share best practices, tools, and expertise. This trend is particularly relevant in sectors like healthcare and finance, where compliance requirements are stringent. Moreover, AI governance is transitioning from a reactive to a proactive strategy. Businesses are embedding governance into their product development cycles, ensuring models are auditable and explainable from the outset. As AI becomes ubiquitous, the governance market is evolving into an essential pillar of digital infrastructure. Key Competitors Microsoft Google IBM Amazon Web Services (AWS) Oracle Salesforce SAP Accenture Palantir Technologies Infosys Wipro TCS (Tata Consultancy Services) NTT DATA Deloitte McKinsey & Company Recent Developments and Strategic Moves Microsoft In October 2023, Microsoft expanded its internal AI governance framework to enhance ethical oversight across its product lines. This proactive move highlights the company's commitment to responsible AI and may influence industry-wide best practices. Google In September 2023, Google released an upgraded AI ethics toolkit that enables organizations to audit AI systems for compliance and fairness. This innovation underscores the importance of transparency in AI deployment and aligns with growing global regulatory expectations. IBM In August 2023, IBM partnered with the Indian government to co-develop AI governance frameworks. This collaboration marks a strategic move in shaping national AI policies and positions IBM as a thought leader in emerging markets. TCS (Tata Consultancy Services) In July 2023, TCS acquired a European AI ethics consultancy, strengthening its position as a global provider of ethical AI solutions. This acquisition reflects the growing demand for specialized expertise in governance. Accenture In June 2023, Accenture received regulatory approval for its AI governance framework, a move that is expected to set industry standards. The framework is designed to help organizations align AI applications with international laws, further establishing Accenture as a leader in ethical AI deployment. This report is also available in the following languages : Japanese (AIガバナンス市場), Korean (AI 거버넌스 시장), Chinese (人工智能治理市场), French (Marché de la gouvernance de l'IA), German (Markt für KI-Governance), and Italian (Mercato della governance dell'IA), etc. Request Sample Pages: More Research Finding – Cloud Infrastructure Entitlement Management CIEM Market The Cloud Infrastructure Entitlement Management (CIEM) market is poised for substantial growth, with an anticipated market value of approximately $2 billion in 2024. Projections suggest that the market will expand to around $6 billion by 2034. Cloud-Based Information Governance Market The cloud-based information governance market is valued at approximately $10 billion in 2024, driven by the increasing need for data compliance and security across industries. This market is projected to grow significantly, reaching an estimated value of $24 billion by 2034. The forecasted Compound Annual Growth Rate (CAGR) for the period from 2025 to 2034 is approximately 9.2%. MLOps Market The global MLOps (Machine Learning Operations) market is poised for substantial growth, currently valued at approximately $6.8 billion in 2024. Projections indicate a robust increase, with an anticipated market value reaching around $23 billion by 2034. This growth trajectory represents a Compound Annual Growth Rate (CAGR) of approximately 13.5% during the forecast period from 2025 to 2034. Data Management Platforms Market The global data management platforms (DMP) market is valued at approximately $5.4 billion, driven by the increasing demand for data-driven decision-making and advanced analytics across industries. The market is poised for robust growth, projected to reach around $12.4 billion by 2034, reflecting a compound annual growth rate (CAGR) of 8.7% during the forecast period from 2025 to 2034. Identity and Access Management IAM Software Market The global Identity and Access Management (IAM) software market is valued at approximately $15.5 billion, reflecting a robust demand driven by an increasing focus on cybersecurity, regulatory compliance, and the need for streamlined user access across burgeoning digital environments. The market is projected to grow significantly, reaching an estimated value of $34.7 billion by 2034. This growth translates to a compelling Compound Annual Growth Rate (CAGR) of 8.5% during the forecast period from 2025 to 2034. Data Privacy Management Platform Market The global data privacy management platform market is valued at approximately $3 billion, reflecting increased regulatory scrutiny and consumer demand for enhanced data protection solutions. The market is projected to reach $7 billion by 2034, driven by the growth of digital transformation initiatives and the rising significance of compliance with data privacy regulations, such as GDPR and CCPA. Healthcare Information Governance Solution Igs Market The global Healthcare Information Governance Solutions market is valued at approximately $2.3 billion in 2024, with robust growth anticipated over the next decade. By 2034, the market is projected to reach around $5.7 billion, reflecting significant investment in healthcare data management and compliance. This represents a Compound Annual Growth Rate (CAGR) of 9.3% during the forecast period from 2025 to 2034. U.S. Healthcare Information Governance Solution Igs Market The United States healthcare information governance solutions market is valued at approximately $5.2 billion. The sector is poised for significant expansion, with projections estimating a market value of around $9.3 billion by 2034, driven by a growing emphasis on data integrity and regulatory compliance. This results in a compound annual growth rate (CAGR) of about 6.1% during the forecast period from 2025 to 2034. Exploring Enterprise Governance Risk Compliance Market The global Enterprise Governance, Risk, and Compliance (EGRC) market is valued at approximately $17 billion in 2024, with projections indicating a growth trajectory that could see it reach around $35 billion by 2034. This growth translates to a Compound Annual Growth Rate (CAGR) of about 7.5% during the forecast period of 2025–2034. Data Fabric Market The global data fabric market was valued at approximately USD 2.5 billion. Projections indicate significant growth, with the market expected to reach around USD 13 billion by 2034. This represents a compound annual growth rate (CAGR) of about 18% over the forecast period. Data Discovery Market The global data discovery market is experiencing robust growth, driven by the increasing need for organizations to analyze vast amounts of structured and unstructured data. In 2024, the market is valued at approximately USD 16.24 billion. Patient Safety and Risk Management Software Market The global patient safety and risk management software market size is expected to reach above USD 5.88 billion by 2034 from a USD 2.08 billion in 2024 at more than 9.10% CAGR from 2025 to 2034. Cloud IAM Market The cloud IAM market is expected to grow at 17.70 % CAGR from 2020 to 2029. It is expected to reach above USD 13.87 Billion by 2029 from USD 3.20 Billion in 2020. Finance cloud Market The finance cloud Market is expected to grow at 20.75% CAGR from 2022 to 2029. It is expected to reach above USD 110.1 Billion by 2029 from USD 20.10 Billion in 2020. Cybersecurity Market The global Cybersecurity Market is expected to grow at 10.6 % CAGR from 2020 to 2029. It is expected to reach above USD 850.17 billion by 2029 from USD 159.65 billion in 2020. Cloud Security Market The Cloud Security Market Is Expected To Grow At 17 % CAGR From 2022 To 2029. It Is Expected To Reach Above USD 87.82 Billion By 2029 From USD 21.69 Billion In 2020. CONTACT: Irfan Tamboli (Head of Sales) Phone: + 1704 266 3234 Email: sales@ while retrieving data Sign in to access your portfolio Error while retrieving data Error while retrieving data Error while retrieving data Error while retrieving data
Yahoo
30 minutes ago
- Yahoo
Infisical Secures $16M Series A to Redefine Enterprise Secrets, Identity, and Access Management
Open-source leader democratizes enterprise-grade secrets management for fastest-growing startups, Fortune 500 enterprises, and nation-states. SAN FRANCISCO, June 6, 2025 /PRNewswire/ -- Infisical, the leader in open source secrets, identity, and access management, today announced a $16 Million Series A funding round led by renowned technology investor Elad Gil. Additional participants in the round included Y Combinator, Gradient (Google), Dynamic Fund as well as notable angels Olivier Pomel (CEO, Datadog), Sanjit Biswas (CEO, Samsara), Antonio Gracias (CEO, Valor), and others. Over the past few years, Infisical has rapidly emerged as the go-to solution for managing sensitive data and credentials across complex development workflows and infrastructure setups. The platform's intuitive approach to handling API keys, database credentials, certificates, SSH keys, and other sensitive data has attracted thousands of developers, from high-growth startups like Hugging Face to Global 2000 enterprises like LG. "Secrets management serves as a critical foundation that connects all infrastructure components within any organization, making it incredibly important from both security and reliability perspectives," said Vlad Matsiiako, CEO and co-founder of Infisical. "At Infisical, we've struck the ideal balance between offering an exceptional developer experience and meaningfully advancing organizational security practices—ensuring it scales effortlessly from an organization's first deployment to tens of thousands of microservices." In the past year, Infisical achieved several major milestones: Launched comprehensive PKI, KMS, and SSH access management solutions; Grew revenue over 20x turning the company cash flow positive; Reached over 40 million downloads of Infisical software across the globe; Expanded its user base to over 100,000 developers; Exceeded 10 billion secrets secured per month. "Secrets management remains one of the most critical yet underserved areas of enterprise security," said Elad Gil. "Infisical stands out through its unique combination of enterprise-grade security and developer-first experience. Their rapid adoption by enterprises validates the urgent market need for a new approach." The new funding will fuel Infisical's next phase of growth, focusing on: Extending Infisical platform across secrets, identity, and access management; Deepening integrations with cloud providers and infrastructure tools; Developing security infrastructure for AI agents and workloads; Expanding the engineering team in San Francisco and globally to accelerate product development; Growing the go-to-market team to support increasing enterprise demand; Investing in customer success and scaling marketing to meet growing demand. For more information about Infisical's secrets, identity, and access management platform, visit View original content: SOURCE Infisical Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
36 minutes ago
- Yahoo
AI Chips Update - AI Transforms Telecommunications with New Alliance Efforts
Recent developments in AI chips are being highlighted with Cloudera's announcement of joining the AI-RAN Alliance, a consortium dedicated to integrating AI into telecommunications infrastructure. Collaborating with companies such as Dell, NVIDIA, SoftBank, and T-Mobile, the consortium aims to transform telecommunications networks through AI-driven real-time data management, edge AI, and hybrid machine learning operations (MLOps). This initiative underscores the increasing role of AI in optimizing network operations and developing innovative services within the telecommunications sector. The alliance seeks to standardize AI integration into networks, enhance AI optimization across shared infrastructures, accelerate edge AI applications, and establish reference architectures to enable efficient deployment of AI-native use cases. last closed at $139.99 down 1.4%. In other market news, was trading firmly up 4.7% and finishing the session at CN¥123.44. On Tuesday, the company opened its global headquarters in Singapore, highlighting its commitment to international growth and customer engagement. In the meantime, softened, down 4.9% to finish the session at HK$40.20. NVIDIA's rapid AI-driven expansion into data centers and autonomous vehicles demands close attention. Discover NVIDIA's growth potential and risks in our in-depth narrative. You might want to check out our 'Market Insights' article, which discusses the evolving landscape of AI chip investments and urgent opportunities for savvy investors. ended the day at €659.00 up 1%. settled at $147.56 down 1%. finished trading at $115.69 down 2.4%. On Tuesday, the company announced Rubrik's integration of EPYC processors for improved AI-ready enterprise solutions across various cloud environments. Discover the full array of 53 AI Chip Stocks, featuring ASM International, Advanced Micro-Fabrication Equipment China and Lasertec, right here. Ready For A Different Approach? Uncover 18 companies that survived and thrived after COVID and have the right ingredients to survive Trump's tariffs. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Sources: Simply Wall St "Cloudera Joins AI-RAN Alliance to Drive Real-Time Data Innovation and AI-Native Telecommunications" from Cloudera, Inc. on GlobeNewswire (published 05 June 2025) Companies discussed in this article include SHSE:603986 ENXTAM:ASML NasdaqGS:QCOM NasdaqGS:NVDA NasdaqGS:AMD and SEHK:981. This article was originally published by Simply Wall St. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@
