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Yahoo
11 minutes ago
- Yahoo
Call for Entries: Globee® Awards for Leadership to Recognize Achievements by Individuals and Teams
Recognizing Leadership at Every Level: 13th Annual Globee® Awards for Leadership Invites Entries from All Over the World SAN FRANCISCO, July 17, 2025 /PRNewswire/ -- The Globee® Awards, organizers of premier data-driven business awards programs with worldwide acceptance and industry-wide participation, have announced the Call for Entries for the 13th Annual Globee® Awards for Leadership, a global program dedicated to recognizing exceptional leadership achievements by individuals and teams. This program celebrates leaders at every level—those who inspire innovation, drive organizational success, and make a meaningful impact in their industries and communities. Organizations, leaders, and teams worldwide are invited to submit their accomplishments—whether local, regional, or global—for consideration. Learn more and submit your entries now: Winners are determined through a 100% merit-based process, with evaluations conducted by independent industry experts and peers from around the world. All judging scores are transparently shared with both winners and non-winners to ensure fairness and credibility. About the Globee® Awards The Globee® Awards present recognition across ten annual programs and competitions, celebrating achievements in business, innovation, technology, leadership, cybersecurity, artificial intelligence, and more. With global participation and evaluations from industry experts worldwide, the Globee® Awards have become a widely accepted standard for honoring excellence and impact across all sectors and organization sizes. To learn more about the Globee® Awards, please visit: Follow: @globeeawards | Hashtags: #globeeawards #leadershipawards #leadershipachievement #businessrecognition All trademarks belong to their respective owners. View original content to download multimedia: SOURCE Globee Awards
Fast Company
13 minutes ago
- Fast Company
Nvidia's power play: How Jensen Huang got Trump to rethink the China AI chip ban
Nvidia's Huang says chip bans aren't the way to deal with China Nvidia founder and CEO Jensen Huang has been active on the government relations and lobbying front, and now he's got something big to show for his efforts: the Trump Administration has agreed to lift a ban on selling Nvidia H20 AI chips to China. Huang met with leaders in both Washington and Beijing, arguing that the AI revolution is a tide that will lift all boats—that AI technology can boost business productivity, raise the standard of living, and improve GDP for both the U.S. and China. He emphasized that the best way for America to maintain an edge in the AI race is to ensure the world's AI models and apps run best on chips made by a U.S.-based company. The U.S. (under Biden) initially began restricting sales of Nvidia's most powerful chips to China in an effort to slow Beijing's AI ambitions. The Trump Administration later doubled down, effectively banning sales of the H20 back in April. As a result, Nvidia reported a loss of about $2.5 billion in sales during its quarter ending in April, and projected it would miss out on another $8 billion in the quarter ending in July. Huang apparently persuaded the Trump Administration to reverse course. His argument likely sounded something like this: 'Our mission, properly expressed, is that in order for America to have AI leadership is to make sure that the American tech stack is available to markets all over the world so that amazing developers, including the ones in China, are able to build on the American tech stack so that AI runs best on the American tech stack,' Huang said during a recent interview with CNN's Fareed Zakaria. Huang also noted that half of the world's AI researchers 'are in China and Chinese.' Huang seems to be suggesting that the U.S. can retain technological dominance by controlling the platform AI runs on—similar to how it maintains financial dominance by ensuring most world trade is based on the dollar. There may be some truth to that. But it raises important questions: What does such control actually mean? Will the U.S. be able to dictate how the Chinese use the chips? No—no more than it did when DeepSeek used the H20 to build its world-class models. Is Huang implying that the U.S. could collect information about Chinese AI activities through these chips (as the U.S. once accused China of doing through Huawei)? That seems very doubtful. There's no doubt that Nvidia and its shareholders benefit when the world's AI is built on its chips and software—but is America really better off? And if Huang truly believes the best AI chips shouldn't be restricted, doesn't it follow that he'll also ask the Trump Administration for permission to sell China its most powerful Blackwell chips, too? Fears grow that the U.S. government will use AI to surveille Six months into a chaotic second Trump presidency, new reports have emerged suggesting the government is increasingly interested in using AI tools to track and profile U.S. residents. According to multiple whistleblowers and insiders, agents of Elon Musk's DOGE are actively working to build a centralized, cross-agency database of Americans' personal information—some of it highly sensitive. The Washington Post reported in May that DOGE is rapidly constructing a centralized database that includes Social Security numbers, medical records, and tax files—doing so without regard for federal data privacy rules, and without standard oversight or even interagency agreements. From the outset, DOGE has pushed past barriers and sidelined individuals to gain access to data stored at the Treasury, Office of Personnel Management, Social Security Administration, Health and Human Services, and the Departments of Education and Labor, Meanwhile, concerns are also growing about how other agencies may be using AI to expand surveillance capabilities. ProPublica reported this week that the Internal Revenue Service is now developing a computer program that would give Immigration and Customs Enforcement (ICE) deportation officers unprecedented access to confidential tax data belonging to millions of American taxpayers, including their home addresses. In the past, ICE requested IRS data only for individuals it was actively investigating—typically no more than a dozen at a time. The new system could serve as a mass surveillance tool, possibly using AI, to identify new deportation targets. Due process may be a secondary concern. Adding to the unease, FedScoop reported last week that the General Services Administration is considering using an AI model developed by Elon Musk's xAI to process the personal data of American citizens. Palantir (cofounded by Trump ally Peter Thiel) has become deeply embedded within agencies across the federal government. Its AI is used for data integration, analysis, and decision-making at defense and intelligence agencies, as well as FEMA, ICE, and HHS. Critics have raised concerns about the breadth and depth of data Palantir can access, and the lack of transparency regarding how its systems function. After 9/11, Palantir began addressing the government's urgent need to make sense of the vast volumes of intelligence data it was collecting on potential terrorist operatives and events both domestically and abroad. Since then, the use of Palantir's platform has only grown—and it could easily be leveraged to form deep profiles on regular American citizens. AWS launches a one-stop shop for enterprise AI Agents Amazon's AWS cloud division is placing a big bet on AI agents. At this week's AWS Summit in New York City, the company unveiled 'AI Agents and Tools,' a new section within the AWS Marketplace designed as a kind of concierge service for businesses looking to buy, deploy, and manage AI agents. The store will feature agents from AWS, as well as third parties like Anthropic, IBM, Perplexity, and Salesforce. Typically, AI agents can store large amounts of information about a company and its workflows, and can reason through tasks. For existing AWS customers, the platform will likely simplify the process of integrating AI agents with AI models—allowing both to reside within the same secure cloud environment as their data. Amazon AWS is bundling everything companies need—databases, security tools, IT support, and deployment infrastructure—into one streamlined experience. Businesses will be able to describe their automation needs in plain English to an AI-powered search tool and receive customized recommendations on which agents are best suited for the job. Gartner predicts that agents will automate half of all business decisions by 2027. And no company wants to fall behind while competitors gain new efficiencies. However, building custom agents from scratch can be a major challenge for corporate IT departments, often requiring significant additional infrastructure and integration work. The new AWS agent platform and marketplace could help eliminate those hurdles. AWS is optimistic about the potential. 'It upends the way software is built,' said AWS VP for Agentic AI Swami Sivasubramanian at the announcement. 'It also introduces a host of new challenges to deploying and operating it, and potentially most impactfully, it changes how software interacts with the world—and how we interact with software.'
Forbes
14 minutes ago
- Forbes
3 Reasons Your Business Doesn't Need AI Agents
Photo by Igor Omilaev on Unsplash If you saw the HBO show Game of Thrones, you're probably aware of the close but complex relationship Daenerys Targaryen had with her three dragons, Drogon, Rhaegal, and Viserion. In the show, dragons are powerful but dangerous creatures—in Daenerys's case, two of them proved to be too uncontrollable for even her—the mother of dragons herself—to fully manage. AI may not be able to incinerate an enemy army with a blast of flames, but even so, its awesome power reminds me quite a bit of those dragons. There's so much that today's technology can do, but its abilities should not be taken lightly. The AI landscape is still pitted with ethical and legal challenges, privacy concerns, unchecked biases and hallucinations. For leaders considering implementing agentic AI into their operations, these risks are essential to consider. The truth is, not every company needs an AI agent. Thinking of building your own? Here are three reasons why you shouldn't. Your Customers Don't Really Need It Businesses of all stripes have gone all in on AI, and the result has been a multitude of AI-driven products that no one needs—or wants. But jumping on the agentic AI bandwagon just to keep up with the tech-enabled Joneses can not only backfire, it can be a liability. In fact, research published in the Journal of Hospitality Marketing & Management found that, rather than signalling advanced capabilities and features, products that advertise the use of AI can actually repel customers. 'When AI is mentioned, it tends to lower emotional trust, which in turn decreases purchase intentions,' said Mesut Cicek, the study's lead author. 'We found emotional trust plays a critical role in how consumers perceive AI-powered products.' This isn't to say that AI isn't transformative for businesses—according to Gartner, 79 percent of corporate strategists agree that AI is critical to success. The key is to ensure you're actually implementing agents in a way that will serve your customers, and not simply capitalizing on the latest buzz. Conduct market research, figure out your friction points, and listen to feedback. The last thing you want is to dump time, energy and money into an offering that never needed to exist. You're Hoping To Replace Your Human Workforce What sets AI agents apart from LLMs is their ability to operate autonomously: For example, while an LLM can generate text responses or summaries when prompted, an AI agent can proactively schedule tasks, connect to external systems (like email or databases), and execute actions on its own—without waiting for a human request. For organizations looking to unlock efficiency and save their human workforces from dull, repetitive tasks, agents represent an exciting opportunity. But if your goal is to eliminate every flesh-and-blood member of your team in exchange for a hyper-efficient, AI-powered workforce, you're looking at it wrong. While the autonomy of agentic AI is one of its features, it's also one of its greatest risks. Their ability to act independently poses any number of threats, from accidental privacy exposure or data poisoning, which can lead to devastating consequences. As Shomit Ghose writes at UC Berkeley's Sutardja Center for Entrepreneurship and Technology: 'We might grant some lenity to an LLM-driven chatbot that hallucinates an incorrect answer, leading us to lose a bar bet. We'll be less charitable when an LLM-driven agentic AI hallucinates a day-trading strategy in our stock portfolios.' As a leader, your goal should be for AI agents to work alongside your team, not to replace it. The fact is, agents are good, but they're not infallible. If an agent commits an error that doesn't get caught until it's too late, your organization will lose credibility that it may never recover. You're Not Paying Attention To Government Regulations And Risk Management The rapid advance of AI agents have created unprecedented opportunities for businesses, but without proper governance, these systems can quickly become liabilities. A major challenge is that AI operates autonomously across vast datasets, learning and evolving in ways that may not always align with ethical or regulatory standards. Leaders considering implementing agentic AI should familiarize themselves with all of the potential hazards, and establish structured oversight frameworks to mitigate them. As AI-powered decision-making becomes more integral to business operations, companies must establish clear policies around compliance, transparency, and accountability. This includes adopting governance models that align with all current regulations, which are changing rapidly. Organizations should also integrate AI risk management frameworks to ensure ongoing monitoring and ethical deployment. AI agents, like Daenerys's dragons, hold immense power. But without careful and deliberate strategy, they can quickly become more of a liability than an asset. Instead of rushing to adopt AI for the sake of staying on trend, businesses must take a measured approach, ensuring their agents serve real needs, support human expertise, and adhere to evolving regulations.
