Latest news with #CoFounder
Associated Press
3 days ago
- Business
- Associated Press
Cloud4Wi Forges Ahead With AI-First Transformation
A company-wide commitment to embedding artificial intelligence into culture, operations, and product development NEW YORK CITY, NY / ACCESS Newswire / July 1, 2025 / Cloud4Wi, a leader in enterprise WiFi-based experiences, today announced a significant strategic pivot, transforming into an AI-first organization. This company-wide commitment embeds artificial intelligence into every facet of its culture, operations, and product development, poised to redefine how enterprises unlock the power of physical locations. As part of this transformative journey, Cloud4Wi is excited to announce the pre-launch of Hedy, its groundbreaking AI assistant, with a public beta version set to be available on July 22, Cloud4Wi AI Assistant Hedy Cloud4Wi AI Assistant In an era of accelerating AI innovation, Cloud4Wi recognizes the critical need for companies at the intersection of data and experience to adapt and lead. This strategic shift is driven by a profound belief that an AI-first mindset is paramount for future success, enabling zero execution cost and seamless integrations that meet evolving customer demands. 'Our transition to an AI-first organization is not merely a technological upgrade; it's a fundamental reshaping of our entire company,' said Andrea Calcagno, CEO and Co-Founder at Cloud4Wi. 'We are embedding AI thinking into every role, mandating AI components in all new projects, and empowering our workforce through dedicated AI training with four hours of allocation per week. This holistic approach integrates AI into our strategy, culture, and operations, maximizing customer satisfaction.' The AI-first journey at Cloud4Wi is anchored in four guiding principles: Introducing Hedy: The Future of WiFi Experiences Cloud4Wi is transforming WiFi experiences with Hedy, a groundbreaking AI assistant designed to optimize WiFi services management. Named after Hedy Lamarr, the brilliant inventor and actress who significantly contributed to wireless communication technology, Hedy delivers AI-powered responses, actionable recommendations, and deep insights for Cloud4Wi users. It pinpoints WiFi service issues, proposes actionable steps for rapid resolution, and delivers insights and recommendations to boost speed and efficiency. Built on a robust, proprietary multi-agent AI system powered by LangGraph and a multi-LLM approach, Hedy will soon autonomously execute operational tasks and address critical use cases for our clients and partners. The public beta of Hedy, launching on July 22, 2025, will offer an early glimpse into how AI can transform WiFi service management and deliver measurable ROI. Davide Quadrini, CTO & Co-Founder at Cloud4Wi, added, 'Hedy will showcase how AI can revolutionize our platform, identifying WiFi service issues and delivering unparalleled recommendations and insights, for smarter, more informed decisions. This marks the initial phase of our AI-first transformation, designed to enhance customer relationships through the integration of intelligence at every touchpoint. We encourage everyone to join our public beta and experience the future of WiFi experience with Hedy.' Contact InformationElena Briola VP Marketing (347) 297-8790 SOURCE: Cloud4Wi press release
Bloomberg
26-06-2025
- Business
- Bloomberg
Bloomberg Daybreak: Europe 06/26/2025
Bloomberg Daybreak Europe is your essential morning viewing to stay ahead. Live from London, we set the agenda for your day, catching you up with overnight markets news from the US and Asia. And we'll tell you what matters for investors in Europe, giving you insight before trading begins. Today's guests: Eléonore Crespo, Pigment, Co-Founder & Co-CEO (Source: Bloomberg)
Associated Press
23-06-2025
- Business
- Associated Press
SenturoPay Launches Comprehensive Crypto Payment Card for Everyday Users
Hong Kong, June 23, 2025 (GLOBE NEWSWIRE) -- SenturoPay, a fast-growing digital finance platform, today announced the official launch of its all-in-one crypto payment card, developed to help users manage and utilize their digital assets in everyday life. With features designed to send, swap, and spend crypto, the platform delivers a real-world solution for individuals looking to simplify how they interact with their crypto holdings. 'This isn't a tech showcase—it's a lifestyle tool,designed with our users' convenience in mind.' said a Co-Founder at SenturoPay. 'We've built a crypto experience that mirrors what users already expect from modern finance—clear, responsive, and practical.' Making Crypto Work for the Real World While crypto adoption continues to expand, many platforms remain focused on trading or storage, leaving users with limited ways to access their assets for real-world needs. SenturoPay fills that gap by offering a comprehensive crypto app and payments system tailored for ease of use and day-to-day functionality. With just a few taps, users can: Everything is managed through a centralized, secure dashboard, giving users full control and visibility over their digital finances. Key Platform Features Designed for Mass Adoption SenturoPay is intentionally built for a wide range of users—from crypto newcomers to digital natives. Its emphasis on clarity, simplicity, and utility sets it apart from platforms that require a steep learning curve or technical fluency. 'We've designed SenturoPay so that anyone—regardless of their crypto background—can access, manage, and use their assets confidently,' added the spokesperson. 'It's about giving people tools that make digital money practical, not just possible.' About SenturoPay SenturoPay is a digital finance platform focused on turning crypto into a usable, everyday financial tool. With a strong emphasis on simplicity, security, and practical use cases, the platform offers users a streamlined way to send crypto, swap tokens, and spend digital assets through one integrated experience. To learn more, visit SenturoPay's official website. Media Team [email protected]
Fox News
20-06-2025
- Business
- Fox News
Michele McManamon on Helping Military Veterans and Spouses
Michele McManamon Chief Executive Officer & Co-Founder Operation New Uniform spoke to Brian Kilmeade about creating Operation New Uniform a nonprofit organization dedicated to empowering transitioning Servicemembers from all branches of the military to find their 'new uniform'–a fulfilling career in the business world. Click here to find out more
Forbes
20-06-2025
- Forbes
The Rise Of Autonomous Cyber Agents
Ronen Cojocaru, Co-CEO and Co-founder, Imperative Inc. getty Artificial intelligence is rapidly evolving from passive tools into autonomous "agentic" systems capable of making decisions and taking actions without direct human input. These AI agents are already proving valuable as co-pilots to human analysts, enhancing threat detection and speeding up incident response. Yet their growing autonomy is a double-edged sword. As these agents gain more power, ensuring they remain secure, transparent and reliable becomes paramount. Early examples of agentic AI in cybersecurity, from automated threat-hunting bots to self-driving network monitors, demonstrate huge potential. However, they also highlight new vulnerabilities. AI agents can, unfortunately, be easily tricked or influenced by bad data, sometimes resorting to biased or incorrect assumptions, and users may place misplaced confidence in their outputs. In short, agentic AI is a force multiplier for cyber defense, but without proper safeguards, it can just as easily multiply cyber risk. Despite the promise, security leaders must grapple with several emerging risks from agentic AI systems. Notably, model drift, malicious manipulation and operational reliability issues are front and center: Model Drift Over time, AI models can become misaligned with reality as their input data changes—a phenomenon known as 'data drift.' This natural degradation in data characteristics means an AI that once performed well might start making errors as its environment evolves. For example, an intrusion detection model trained on last year's network traffic may gradually falter as new apps, devices and attacker techniques appear. Such drift opens up new attack surfaces if not caught and corrected, undermining the model's effectiveness. Recognizing this, recent joint security guidance from the U.S. and allies urges companies to monitor AI performance closely and treat drift as an expected challenge. Agentic AIs are vulnerable to adversarial exploits. Hackers can attempt to manipulate an AI's inputs or training data to distort its behavior. Tactics like data poisoning and feeding incorrect or malicious data into an AI's training pipeline can wreak havoc on its decision making. Imagine an attacker subtly corrupting the data that trains a spam filter or fraud detector—the AI might then start letting threats slip through or flagging the wrong items. Officials worldwide are increasingly fearful of hackers manipulating AI systems, especially those deployed in critical infrastructure. A poisoned or manipulated model not only makes bad choices; it erodes confidence that AI outputs can be trusted at all. Operational Reliability And Trust Like all AI, autonomous agents suffer from issues of hallucination, bias and erratic behavior, which can be amplified by their autonomy. Without proper governance, an AI agent might confidently produce incorrect analyses or take unauthorized steps. These problems aren't just theoretical—early deployments have shown that AI assistants can 'go rogue' or output toxic content if misused. Businesses have learned that an unsupervised agent's mistake can lead to serious harm, reputational damage or compliance violations. Moreover, when AI agents act unpredictably, humans tend to either over-trust them or distrust them entirely—both scenarios are risky. As one expert noted, current AI agents are still 'easily tricked' and prone to biased assumptions, yet people often trust their answers when they shouldn't. Ensuring reliability means building in rigorous testing, guardrails and oversight for AI decisions. In practice, companies are putting 'human in the loop' controls on critical uses and instituting AI red-team exercises to probe for failure modes. The goal is an AI that operates responsibly and transparently, earning trust through consistent and correct performance. Future Outlook: Roadmap For AI-Powered Cybersecurity While today's agentic AI is still maturing, the coming years promise a dramatic expansion of AI's role in cybersecurity. In this phase, organizations move from experimentation to real deployments of agentic AI for security. AI co-pilots become common in security operations centers, handling routine tasks and assisting human analysts. For instance, autonomous AI agents might triage alerts, scour logs for threats or automate responses to basic incidents. These early agentic systems are generally narrow in scope and operate under human supervision, reflecting lessons learned about governance. Shadow AI agents (unsanctioned bots running without oversight) emerge as a concern, prompting companies to institute AI governance programs. Industry experts emphasize the need for visibility into all AI agents in use and strict alignment with security policies to avoid 'rogue' deployments. Notably, businesses begin to treat AI agents much like employees: vetting their 'credentials,' monitoring their activities and granting only least-privilege access. As one analysis put it, AI agents can indeed augment overworked cyber teams, but only if we ensure these agents are deployed in a secure, explainable and reliable manner. Looking a bit further out, 2026 is expected to usher in swarm intelligence and collective defense enabled by networks of AI agents. Rather than working in isolation, multiple AI systems will increasingly communicate, collaborate and even negotiate with each other across networks. Cyber defenses could be handled by fleets of specialized AI agents, with one set watching network traffic, another analyzing user behaviors and others managing endpoint security—all sharing intelligence in real time. This coordinated 'swarm' of AI agents can respond to threats faster than any single system, mimicking a colony of ants or bees that collectively defend their nest. A new challenge will be understanding the emergent behavior of interacting AIs. When dozens of semi-autonomous agents interconnect, unexpected dynamics may arise not unlike complex financial markets or ecosystems. By the late 2020s, the industry anticipates a transition from narrow AI tools to cognitive cybersecurity ecosystems. In practice, this means AI systems with advanced reasoning capabilities are deeply integrated into every facet of cyber defense. For example, cyber defense systems will leverage AI that emulates human-like thinking and learning processes. These cognitive SOCs can ingest vast, diverse data streams, network logs, threat intel feeds, user activity and more to make connections that human analysts might miss. Cybersecurity ecosystems will become adaptive and self-optimizing. AI will not just react to attacks but continuously learn from them, evolving its defenses. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
